34
Medical Ethics
and scientific communities and the right to information about epidemics or outbreaks of disease; persecution of health profession- als for their independent medical or human rights activities; attacks on health facilities and personnel; medical evidence of torture and sexual violence and their severe physi- cal and psychological impacts; reproduc- tive rights and health; collusion of health professionals in human rights violations, including torture and executions; overt ob-
struction of the right to health; discrimina- tion within health systems; and much more. PHR has submitted documentation to this process on human rights violations in Bah- rain, Myanmar, the United States and Zim- babwe, among other countries.
Dozens of organizations worldwide regu- larly send representatives to speak at Hu- man Rights Council meetings on a range of issues. But the credible and influential voice
of the medical community in these halls of power is singularly underrepresented. PHR has been opening a door to these opportu- nities and welcomes company to develop a more robust presence in Geneva as threats against the independence of medical pro- fessionals and the silencing of civil soci- ety become ever more pervasive across the globe.
Susannah Sirkin, Director of Policy, Physicians for Human Rights
Ewan C Goligher Maria Cigolini Alana Cormier Sinéad Donnelly Catherine Ferrier Vladimir A. Gorsh- kov-Cantacuzène
Sheila Rutledge Harding
Mark Komrad Edmond Kyrillos Timothy Lau Rene Leiva Renata Leong Sephora Tang John Quinlan
Euthanasia and Physician-Assisted Suicide are Unethical Acts
The World Medical Association (WMA), the voice of the international community of physicians, has always firmly opposed euthanasia and physician-assisted suicide (E&PAS) and considered them unethi- cal practices and contrary to the goals of health care and the role of the physi- cian [1]. In response to suggested changes to WMA policy on this issue, an exten- sive discussion took place among WMA Associate Members. We, representing a voice of many of those involved in this
discussion, contend that the WMA was right to hold this position in the past and must continue to maintain that E&PAS are unethical.
The Central Issue Under Debate is the Ethics of E&PAS The question is whether it is ethical for a doctor to intentionally cause a patient’s death, even at his or her considered re-
quest. The fact that E&PAS has been legalized in some jurisdictions and that some member societies support these practices has no bearing on the ethical question. What is legal is not necessarily ethical. The WMA already recognizes this distinction, for example, by condemning the participation of physicians in capital punishment even in jurisdictions where it is legal. The WMA should be consis- tent in this principle also with respect to E&PAS.
35
Medical Ethics
E&PAS Fundamentally Devalues the Patient This devaluation is built into the very logic of E&PAS. To claim that E&PAS is compassionate is to suggest that a pa- tient’s life is not worth living, that her existence is no longer of any value. Since the physician’s most basic tasks and con- siderations are to ‘always bear in mind the obligation to respect human life’ and ‘the health and well-being of the patient’ [2, 3], E&PAS must be opposed. E&PAS distorts the notion of respect for the pa- tient. On the one hand it claims to help suffering persons, while on the other hand it eliminates them. This is a profound in- ternal contradiction; the ethical priority is to respect the fundamental intrinsic worth of the person as a whole.
E&PAS Puts Patients at Risk Patients are autonomous agents but are not invulnerable to their need for affirma- tion from others, including their physi- cian. Amidst the overwhelming fears of those who suffer (4, 5), a free autono- mous decision to die is an illusion. Par- ticular concern exists for those who may feel their life has become a burden due to changing perceptions of the dignity and value of human life in all its differ- ent stages and conditions, and an explicit or implicit offer of E&PAS by a physi- cian profoundly influences the patient’s own thinking. The troubles of human relationships within families, the pres- ence of depression, and problems of abuse and physician error in an already stressed medical system, make muddy waters even more turbulent [6]. Evidence shows that societies cannot always defend the most vulnerable from abuse if physicians be- come life-takers instead of healers [1, 6]. The power of the therapeutic relationship cannot be underestimated in the creation of patient perceptions and choices.
E&PAS Totally Lacks Evidence as ‘Medical Treatment’
The consequences of E&PAS are unknown as both physicians and patients have no knowledge of what it is like to be dead. Ad- vocates of E&PAS place blind faith in their own assumptions about the nature of death and whether or not there is an afterlife when arguing that euthanasia is beneficial. E&PAS is therefore a philosophical and quasi-religious intervention, not a medical intervention informed by science. Doctors should not offer therapy when they have no idea of its effects—to offer E&PAS is to offer an experimental therapy without any plans for follow-up assessment. Therefore, key elements in any medical intervention such as informed consent are simply not possible without knowing what stands on the other side of death. Rather than a stan- dard medical discussion of alternatives based on scientific data or clinical experience, the discussion must leave the clinical domain and enter the domain of speculation. This is not an exercise in informed-consent. This is not the accepted medical ethics of medi- cal practice. All this is, in part, why E&PAS cannot be a medical procedure.
These Weighty Moral Considerations are Supported by the Ethical Intuition of the Global Medical Community
Only a small minority of physicians sup- port E&PAS. The vast majority of doctors around the world wish only to foster the will to live and to cope with illness and suf- fering, not to facilitate acts of suicide or to create ambiguity around what constitutes a medical treatment. We must remember that the four regional WMA symposia demon- strated that most doctors would never be willing to participate in euthanasia. Even the insistence of E&PAS proponents on (a)
using ambiguous language such as ‘Medical Assistance in Dying’ to describe their prac- tice and (b) avoiding mention of E&PAS on death certificates suggests that they share to some degree this fundamental ethi- cal intuition about killing patients.
Acceptance of E&PAS Undermines Boundaries Between End-Of-Life Care Practices That do not Intend Death (palliative care, withholding/withdrawing life- sustaining therapy) and Those that do Intend Death (E&PAS)
Confusion is created at a societal level about what constitutes “medical treatment,” espe- cially when language such as “medical assis- tance in dying” or “voluntary assisted dying” is used. This renders the reality of such acts and their application unclear. As many pa- tients share our conviction that deliberately causing death is wrong, a misunderstanding of the distinction between E&PAS and pal- liative care may lead to rejection of palliative care or insistence on futile life-sustaining therapies. The availability of E&PAS also distracts from the priority of providing so- cial services and palliative care to those who are sick and dying [7].
The WMA’s Code of Ethics Strongly Influences Standards for the Practice of Medicine Around the World and Neutrality on E&PAS by the WMA Would be Interpreted Globally as Tacit Approval
A change in the WMA statement would imply a tacit endorsement of E&PAS and render the WMA complicit with such prac- tices [8, 9]. Neutrality by professional medi-
36
cal organisations on E&PAS is perceived by society, governments and the international pro-euthanasia lobby as that organisation’s acceptance of them as medical practice, rather than as a response to a societal/po- litical agenda. Those who seek international approval to justify these practices will cre- ate a silencing of the majority of the com- munity, which has real medical, societal and ethical concerns around E&PAS and their effects on society internationally.
WMA policy on E&PAS reflects that which is in place in hundreds of jurisdic- tions with widely divergent legal and politi- cal traditions. While it may be tempting to placate some member societies so as to avoid dissension, we must not destabilize medical ethics around the world. We must continue to characterize E&PAS as unethical even if it conflicts with the demands of the state or influential groups backed by the law. We must not let imperfect law trump good medical ethics. Undoubtedly many doctors who perform E&PAS believe themselves to be acting nobly; but it does not follow that they should expect others to affirm their views or not to oppose them; nor are they wronged by existing WMA policy. Any society that insists on transforming suicide from a freedom to a right, should stand up a different profession with the duty to fulfil that new right, as killing does not belong in the House of Medicine.
Neutrality on E&PAS has Serious Consequences for Physicians who Refuse to Participate
In jurisdictions where E&PAS is legalized, physicians who adhere to the long-standing Hippocratic ethical tradition are suddenly regarded as outliers, as conscientious objec- tors to be tolerated and ultimately excluded from the profession [10]. A neutral stance by the WMA would compromise the po- sition of the many medical practitioners
around the world who believe these prac- tices to be unethical and not part of health care. In some jurisdictions it is illegal not to refer for these practices, creating a dystopic situation where the doctor who practises quality end-of-life care needs to conscien- tiously object in order to do so, and may be coerced to refer for E&PAS. Neutrality from the WMA would promote the con- travention of the rights and ethical practice of these doctors, undermining their ethical medical position at the behest of a societal demand that can fluctuate with time.
In sum, the changes currently being de- bated, arising from political, social, and economic factors, have been rejected time and again and most recently by the over- whelming consensus of WMA regions. The present debate represents a crucially im- portant moment for the WMA that must not be squandered. Given the influence of the WMA and the profound moral issues at stake, neutrality should not be an option. The WMA policy must continue to stand as a beacon of clarity to the world, bringing comfort to patients and support to physi- cians around the globe. The WMA should not be coerced into promoting euthanasia and assisted suicide by making its stance neutral.
References 1. Leiva R, Friessen G, Lau T. Why Euthana-
sia is Unethical and Why We Should Name it as Such. WMJ. 2018 Dec; 64 (4) pages 33-37. [Cited 2019 Feb 05]. https://www.wma.net/wp- content/uploads/2019/01/wmj_4_2018_WEB. pdf
2. WMA INTERNATIONAL CODE OF MEDICAL ETHICS. WMA [Internet] [cited 2019 Feb 05]. https://www.wma.net/policies- post/wma-international-code-of-medical- ethics
3. WMA DECLARATION OF GENEVA. WMA [Internet] [cited 2019 Feb 05]. https:// www.wma.net/policies-post/wma-declaration- of-geneva
4. Zaorsky NG et al. Suicide among cancer pa- tients. Nat Commun. 2019 Jan 14;10 (1):207. [cited 2019 Feb 05]. https://www.nature.com/ articles/s41467-018-08170-1
5. Rodríguez-Prat A et al. Understanding pa- tients’ experiences of the wish to hasten death: an updated and expanded systematic review and meta-ethnography. BMJ Open. 2017 Sep 29;7(9):e016659. [Cited 2019 Feb 05].https://bmjopen.bmj.com/content/7/9/ e016659.long
6. Miller DG, Kim SYH. Euthanasia and physi- cian-assisted suicide not meeting due care cri- teria in the Netherlands: a qualitative review of review committee judgements. BMJ Open. 2017 Oct 25;7(10):e017628. [cited 2019 Feb 05].htt- ps://bmjopen.bmj.com/content/7/10/e017628. long
7. The Canadian Society of Palliative Care Physi- cians -KEY MESSAGES RE HASTENED DEATH [Internet] [cited 2019 Feb 05]. https:// www.cspcp.ca/wp-content/uploads/2015/10/ CSPCP-Key-Messages-FINAL.pdf
8. Sulmasy DP, Finlay I, Fitzgerald F, et al. Phy- sician-assisted suicide: why neutrality by organ- ized medicine is neither neutral nor appropriate. J Gen Intern Med 2018; 33: 1394-1399.
9. Canadian Medical Association softens stand on assisted suicide. Globe and Mail. AUGUST 19, 2014 [Internet] [cited 2019 Feb 05]. https:// www.theglobeandmail.com/news/national/ca- nadian-medical-association-softens-stance-on- assisted-suicide/article20129000/
10. Euthanasia in Canada: A Cautionary Tale. WMJ 2018 Oct; 64 (3), p 17-23. [cited 2019 Feb 05].https://www.wma.net/wp-content/up- loads/2018/10/WMJ_3_2018-1.pdf
(Institutional affiliations are provided for identification purposes only and do not im- ply endorsement by the institutions.)
Ewan C Goligher MD PhD Assistant Professor
Interdepartmental Division of Critical Care Medicine
University of Toronto E-mail: [email protected]
Dr Maria Cigolini MBBS(Syd) FRACGP FAChPM
Grad.DiPallMed(Melb) Clinical Director Palliative Medicine,
Royal Prince Alfred Hospital Senior Clinical Lecturer,
University of Sydney New South Wales, Australia
E-mail: [email protected]
Medical Ethics
37
Alana Cormier MD CCFP Family Physician, Twin Oaks
Memorial Hospital Assistant Professor, Department of Family Medicine, Faculty of Medicine, Dalhousie
University, Nova Scotia, Canada E-mail: [email protected]
Sinéad Donnelly MD, FRCPI, FRACP, FAChPM
Consultant physician Internal Medicine and Palliative Medicine,
Module convenor and Clinical lecturer Palliative Medicine, University Otago,
Wellington, Aotearoa New Zealand E-mail: [email protected]
Catherine Ferrier, MD, CCFP (COE), FCFP
Division of Geriatric Medicine, McGill University Health Centre
Assistant Professor of Family Medicine, McGill University
E-mail: [email protected]
Vladimir A. Gorshkov-Cantacuzène, BChE, MNeuroSci, MD,
DSc(med), TD, JCD
Director, Department of Clinical Cardioneurology, American Institute
of Clinical Psychotherapists E-mail: [email protected]
Sheila Rutledge Harding, MD, MA, FRCPC Hematologist, Saskatchewan Health Authority
Professor, College of Medicine, University of Saskatchewan
Saskatoon SK Canada E-mail: [email protected]
Mark Komrad MD Faculty of Psychiatry Johns Hopkins,
University of Maryland, Tulane Ethics Committee, American
College of Psychiatrists E-mail: [email protected]
Edmond Kyrillos, MD, CCFP, B. Eng. (Mechanical), Lecturer, Department
of Family Medicine, Faculty of Medicine, University of Ottawa
E-mail: [email protected]
Timothy Lau, MD, FRCPC Distinguished Teacher, Associate
Professor, Faculty of Medicine,
Department of Psychiatry, Geriatrics, Royal Ottawa Hospital.
E-mail: [email protected]
Rene Leiva, MD CM, CCFP (Care of the Elderly/ Palliative Care); FCFP
Assistant Professor Department of Family Medicine
Faculty of Medicine University of Ottawa
E-mail: [email protected]
Renata Leong MDcM, MHSc, CCFP, FCFP
Assistant Professor, DFCM, University of Toronto
E-mail: [email protected]
Sephora Tang, MD, FRCPC Staff Psychiatrist, The Ottawa Hospital
Lecturer, Faculty of Medicine, Department of Psychiatry
University of Ottawa E-mail: [email protected]
John Quinlan MB.BS(Syd) FAFRM MA(ethics)
E-mail: [email protected]
Defensive medical practice represents an increasing concern in all over the world. The practice of defensive medicine is main- ly associated to the rising number of medi- cal malpractice lawsuits. It negatively affect the quality of care and waste the limited resources in health sector. The economic burden of defensive medicine on health care systems should provide an essential stimulus for a prompt review of this situ- ation. Defensive medicine in simple words is departing from normal medical practice as a safeguard from litigation. The most
frequent daily practice of defensive medi- cine is performing more unnecessary tests and referring more patients to consultants and hospitalization. Such behavior is an ethically wrong and disagrees with deon- tological duties of the doctor. Investigating the prevalence of defensive medicine in a number of international healthcare set- tings, defensive medicine has been found to be highly prevalent in many countries. Majority of physicians across various spe- cialties tends to adopt a defensive profes- sional culture. Daiva Brogiene
Regional Medical Affairs
The Defensive Medicine isn’t the Best Way to Avoid Mistakes
LITHUANIA
Copyright of World Medical Journal is the property of World Medical Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.
A power analysis is a statistical procedure needed to determine an effective sample size to make a reasonable conclusion.
Power Analyses (Ali & Bhaskar, 206; Polit & Beck, 2017)
Helps to decide how large a sample is needed to make sure judgments about statistical findings are accurate and reliable.
Prevent the recruitment of too many or too few numbers of subjects.
Must be used to determine sample size before the study begins
Chi-Square is powerful for what it is intended to do – determine if variables are associated in any way.
Chi-Square Analysis (Ali & Bhaskar, 206; Polit & Beck, 2017)
Is a type of inferential statistic.
Evaluates if two categorical variables (e.g., gender, educational level, race, etc.) are related (correlated) in any way.
Appropriate for discrete variables (nominal, ordinal).
Does not work with continuous variables (interval, ratio).
The null hypothesis states that there is no relationship between variables. As such, if the null is accepted, you are agreeing that there is no relationship between variables.
Null Hypothesis Testing (Polit & Beck, 2017)
The beginning point for statistical significance testing.
A formal approach to deciding between two interpretations of a statistical relationship in a sample.
Null Hypothesis – suggests there is no relationship between variables, populations, etc. meaning there was an error in sampling.
Alternative Hypothesis – suggests there is a relationship between variables, populations, etc.
Rejecting the Null Hypothesis – suggests being in support of the Alternative Hypothesis.
I want to pick up on your comments specific to type I and type II error and add some thoughts because it is very important to understand these concepts.
First, I can share that sometimes as a researcher, making sense of a type I and type II error can be really challenging! It is important to understand what each is as well as the strategies researchers use to prevent these errors.
In statistics, a null hypothesis is a statement that one seeks to nullify (that is, to conclude is incorrect) with evidence to the contrary. Most commonly, it is presented as a statement that the phenomenon being studied produces no effect or makes no difference. An example of such a null hypothesis might be the statement, "A diet low in carbohydrates has no effect on people's weight." A researcher usually frames a null hypothesis with the intent of rejecting it: that is, intending to run an experiment which produces data that shows that the phenomenon under study does indeed make a difference (in this case, that a diet low in carbohydrates over some specific time frame does, in fact, tend to lower the bodyweight of people who adhere to it)
A type I error(or error of the first kind) is the incorrect rejection of a true null hypothesis. Usually, a type I error leads one to conclude that a supposed effect or relationship exists when in fact it doesn't. Examples of type I errors include a test that shows a patient to have a disease when in fact the patient does not have the disease, a fire alarm going on indicating a fire when in fact there is no fire, or an experiment indicating that medical treatment should cure a disease when in fact it does not. The type I error rate or significance level is the probability of rejecting the null hypothesis given that it is true. It is denoted by the Greek letter α (alpha) and is also called the alpha level. Often, the significance level is set to 0.05 (5%), implying that it is acceptable to have a 5% probability of incorrectly rejecting the null hypothesis.
Type I error is rejecting the null hypothesis when it is true. This is also known as a false positive finding or conclusion.
A type II error(or error of the second kind) is the failure to reject a false null hypothesis. Examples of type II errors would be a blood test failing to detect the disease it was designed to detect, in a patient who really has the disease; a fire breaking out and the fire alarm does not ring, or a clinical trial of a medical treatment failing to show that the treatment works when really it does. The rate of the type II error is denoted by the Greek letter β (beta) and related to the power of a test (which equals 1−β).
A type II error is the failure of rejecting a false null hypothesis. This is also known as a false negative finding or conclusion.
Much of statistical theory revolves around the minimization of one or both of these errors, though the complete elimination of either is treated as a statistical impossibility.
sampling.
One of the things that are significant to consider is the use of a sample and sampling error. We all generally understand that a sample, be it randomized or a convenience method, is intended to represent a certain population. Inferences about sample statistics (such as a mean and standard deviation) are used to approximate population parameters. Martin and Bridgmon (2012) posit it is highly unlikely that sample statistics will be exactly the same as population parameters and the difference that emerges is what is referred to as sampling error.
It is important to remember as you move forward in your doctoral program, that the use of random sampling is thought to be the best way to reduce sampling error (Martin & Bridgmon, 2012; Tappen, 2016: Treiman, 2009). However, Shadish et al. (2002) have previously discussed that an alternative selection method to random selection used by experimental researchers is known as purposive sampling. This is an intentional process by a researcher to identify population characteristics, including participants, treatments, outcomes, and settings, and then select a sample that most closely embodies the desired population characteristics. However, I encourage you to carefully consider that random error can occasionally include fluctuations in the characteristics of individuals, such as the motivation level of novice nurses changing rapidly from one intervention to the next. So the timing, or rather, the length of study involving the participants, must always be key part of the methodology design.
Thank you for your post this week that includes an important dialogue about the null hypothesis. As pointed out by MacKenzie et al. (2018), hypothesis testing leads to a dichotomous decision; one either rejects the null hypothesis or not. They also argue the decision by the researcher (to reject or not) can be either right or wrong with respect to the truth. However, it is important to gently remember that a hypothesis can never be “proven” to be correct. I have heard my previous doctoral students describe their findings in this way and this description is inaccurate. We should always be mindful that no amount of experimental testing or evidence can truly prove anything in science (McLaughlin, 2006). Rather, it is important to note that if a research scientist’s results match his/her prediction, then the hypothesis is supported.
The language we use to describe possible problems with a hypothesis is also key. The nomenclature for the errors that can occur, such as Type 1 or Type 2, depend upon the decision of whether to reject the null hypothesis. Other considerations involve the p value and its role in determining to accept or reject the null hypothesis. There are some key factors to remember from the lesson this week on the p value (Taylor, 2019). These include:
With most analyses, an alpha of 0.05 is used as the cutoff for statistical significance;
If the p-value is less than 0.05, we reject the null hypothesis that there is no difference between the means and conclude that a significant difference does exist;
If the p-value is larger than 0.05, we cannot conclude that a significant difference exists;
The p-value is also known as the calculated probability; and
The p-value is commonly referred to as the alpha.
If the null hypothesis is not true, then the effect size will be greater than zero;
The larger the effect size, the greater the degree to which the phenomenon (e.g., the outcome of an intervention study) will be manifested; and
The larger the effect size is, the greater the power will be, so a smaller sample will be needed to detect the phenomenon and reject the null hypothesis (Cohen, 1988) [as cited by Tappen, 2016, p. 128].
I also took particular note of your comments about whether you would utilize the research study with regard to the suggested error. You explained that there are still too many gray areas to feel a comfortable in considering this particular research. I can see certainly see your point about this but want to offer that one of the potential opportunities is for the study to be repeated by other researchers, making note of the contributing factors which contributed to the original sample error. One of the challenges with the case study this week is that the generalizability of the results cannot be considered until the sample error is resolved. Thank you and take care.
the Chi-square test of independence (also known as the Pearson Chi-square test, or simply the Chi square) is one of the most useful statistics for testing hypotheses when the variables are nominal, as often happens in clinical research (McHugh, 2013). Chi Square is used to examine the difference between what you actually find in your study (or DNP Project) and what you are expecting to find. So, there are key questions which should be asked to determine if this test is appropriate for your upcoming DNP Project which include:
Are you trying to see if there is a difference between what you have found and what would be found in a random pattern?
Is the data gathered organized into a set of categories?
In each category, is the data displayed as frequencies (not percentages)?
Does the total amount of data collected (observed data) add up to more than 20?
Does the expected data for each category exceed four?
If any of the answers are no to these questions, then is not the correct test to use. Thanks Angela, and I hope this information is helpful. Take care.
Kindly,
Dr. Kyzar
Reference
McHugh, M.L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143-149. http://dx.doi.org/10.11613/bm.2013.018 (Links to an external site.)
ReplyReply to Comment
Collapse SubdiscussionKate Blue
Kate Blue
WednesdayJan 27 at 4:56pm
Dr. Kyzar and class,
What statistical procedure is needed to determine an effective sample size to make a reasonable conclusion? Explain your rationale.
When determining the appropriate sample size, the general rule of the have the largest sample size possible is best. This allows for the best representation of the population. Utilizing the power analysis tool helps prevent type II errors or false negatives. In conducting this test, the validity of the conclusion is stronger (Polit, 2016).
Reading through the study, you observe that the researcher used a chi-square analysis to analyze nominal and ordinal data. Is this the appropriate level of statistical analysis to answer the research question? Explain your rationale.
Chi-square analysis determines the differences in variables and is used to test the hypothesis. It can be utilized in both nominal and ordinal data (Chamberlain College of Nursing, 2020). The observed frequencies of outcome following intervention are compared to the expected frequencies of outcome following not intervention. Through calculations, a 0.05 significance is determined. Then the Chi-square value and significance value are compared leading to the p-value, which determines statistical significance. In most nursing research, a value of 0.05 or less is considered to be statistically significant (Polit, 2016).
Reading further, the researcher reports that the p-level led her to conclude that the null hypothesis was rejected. In your critique of the study, you determine that the null hypothesis is true. Do these findings impact your decision about whether to use this evidence to inform practice change? Why or why not?
When the p level is greater than 0.05 it is determined to be not statistically significant. It means more than five out of one hundred times of completing a similar size study the results would show probability of the control versus intervention groups being different by likelihood. If the DNP scholar found a p level less than 0.05 it would be considered statistically significant and support the null hypothesis (Polit, 2016).
When a researcher rejects a null hypothesis that is true a type 1 error occurs. When the criteria for type 1 is very tight there is a higher chance for type 2 errors. To avoid type 2 errors the researcher wants to have a larger sample size. This would change the DNP scholar’s choice to utilize in practicum. When there is an error it may be related to inadequate sample size, poor statistical processes, inaccurate measures, or errors in the study method (Polit, 2016). Therefore, the level of evidence would be poor leading to a non-acceptable study for implementing practice change.
References
Chamberlain College of Nursing. (2020). NR 714 Week 4: Data Analysis [Online lesson]. Adtalem Global Education.
Polit, D. F. (2016). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer Health.
Excellent comments to this week’s post! You have provided a highly competent discussion of the Week 4 questions and I took particular note of your points about the Chi Square Analysis. Since this is one of the main focuses of our study this week, I want to summarize some very important key points about this important test. Below are a list of advantages and disadvantages that students should remember.
Advantages
Noted for its robustness with respect to distribution of the data and ease of computation;
The detail of information which can be derived from the test;
It use in studies when certain parametric assumptions cannot be met;
Its flexibility in handling data from both two groups and multiple group studies;
Can be used to test the difference between an actual sample (actual data) or observed, and hypothetical expectations (expected outcome/values from a hypothesis);
Can test association between variables;
Used to test the difference between what you expect to find from an experiment, and what you actually find from an experiment; and
Examines the differences in data between categories.
Disadvantages
Can be used on raw data that is counted (BUT cannot be used for measurements, proportions, or percentages);
Data must be numerical;
Categories of two are not good to compare;
The number of observations must be 20+;
The test becomes invalid if any of the expected values are below 5; and
A type of nonparametric statistics and is not as powerful as other types of statistical methods.
Thanks so much and I hope this information greatly adds to your knowledge this week about this important test.
Kindly,
. Additionally an estimate of a sample size is used to avoid a type 2 error which happens when the null hypothesis is accepted when it should be rejected (Polit & Beck, 2017, p 402).
These comments are at the heart of a power analysis, which is a method of estimating that the sample is large enough to assume that your statistical analysis is meaningful and large enough to detect errors. An underpowered quantitative study typically has too few subjects or an insensitive measure of change (or both), leading to an increased risk of type 2 errors. The effect size is another important estimate of power and is the estimated magnitude of the phenomenon under study (Tappen, 2016, p. 127). Consider then, that if the null hypothesis is true, the effect size will be zero; however, most researchers anticipate a real effect in most of their studies. Thus, it is important for the researcher to actually conduct a real calculation of the sample population which will be needed.
I can share that there are some very useful software packages that can calculate power for you (many are free on the internet), but some of these may be limited by the number of designs that can be inputted into the calculation in question (Creswell & Creswell, 2017). Ultimately, the best advice for doctoral students and novice researchers is to use as large of a sample as possible to maximize the possibility that the means, percentages, and other statistics are the true estimates of the population (Wood & Ross-Kerr, 2011, p. 129
Please click on the link below and read the brief discussion. Knowing the content this week may be a bit challenging, does the illustration help solidify your understanding of rejecting the null hypothesis (meaning a difference exists) or failing to reject the null (meaning no difference was found)?
Best Regards,
Dr. Kyzar
https://www.statisticssolutions.com/to-err-is-human-what-are-type-i-and-ii-errors/ (Links to an external site.)
Rejecting the Null Hypothesis--Week 4.jpg
ReplyReply to Comment
Collapse SubdiscussionCarlos Legra Elias
Carlos Legra Elias
SaturdayJan 30 at 12:55pm
Hi Dr Kyzar
Excellent to know how rejecting and failing to reject null hypothesis The illustration explains the concept of Type I and Type II error that can result from rejecting and failing to reject the null hypothesis (Davis, 2020). Type I error occurs when a true null hypothesis is rejected. Type II error on the side occurs when we fail to reject a false hypothesis. The rejection region as illustrated depends on the significant level provided. A significant level of α = 0.05 is commonly used in many research studies. However, other significant levels such as α = 0.01 and α = 0.10 can also be used depending on the requirement and type of the study. Using one of the significant levels affects the decisions made on the null hypothesis. A calculated p-value can be statistically significant when α = 0.10 but fails to be significant when the significant level is changed to α = 0.05.
This study helps in illustration of hypotheses testing during data analysis. This is one of the most vital part that can lead to decision making using the provided data. It is clear from the given illustration that decisions made have a great impact and the type of error committed can be costly depending on the study at hand. This explains the importance of keenness when handling hypotheses.
Therefore, the article solidifies the understanding of rejecting the null hypothesis and failing to reject the null hypothesis. It helps in understanding how irrelevant a decision can be when either of the errors is made.
Reference
Davis, I. (2020, March 4). To Err is Human: What are Type I and II Errors? Retrieved January 30, 2021, from https://www.statisticssolutions.com/to-err-is-human-what-are-type-i-and-ii-errors/ (Links to an external site.)
ReplyReply to Comment
Collapse SubdiscussionJannet Patton
Jannet Patton
SaturdayJan 30 at 8:34pm
Greetings, Dr. Kyzar and Class,
Thank you for providing the additional resources and questions this week to further our understanding of Type I and Type II errors. I especially appreciated the article from Statistics Solutions and the illustration about holding versus looking at puppies to demonstrate the difference between a Type I and Type II error. For example, if a researcher rejects a true null hypothesis, this would be a Type I error-also known as a false-positive. If the researcher fails to reject a false null hypothesis, this would be considered a false-negative result (McLeod, 2019). Type I errors can cause unnecessary problems when making healthcare changes, and Type II errors can prevent needed interventions (McLeod, 2019). I have attached a visual chart that demonstrates the conclusion from statistical analysis, based on whether the results yielded a Type I error or Type II error (McLeod, 2019).
Jan
Reference
McLeod, S. A. (2019). What are type I and type II errors? Simple Psychology. https://www.simplypsychology.org/type_I_and_type_II_errors.html (Links to an external site.)
McLeod_Chart.docx
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Collapse SubdiscussionRacheal Aneke
Racheal Aneke
WednesdayJan 27 at 9:19pm
NR 714 week 4 discussion
What statistical procedure is needed to determine an effective sample size to make a reasonable conclusion? Explain your rationale.
To determine if the sample size is adequate to make a reasonable decision depends on the descriptive statistics applied in the study like mode, median, and mean. Mode occurs with the most significant mathematical values frequency and measures the nominal data in a central tendency. The median score is at the 50th percentile or center of the frequency or distribution. It is the correct measurement of the ordinal data. Mean is the sum of the total score divided; it measures the interval and ratio. Another statistical method to decide a sample size includes the range, variance, and standard deviation. Chi-test is also a statistical procedure that is needed to determine sample size (Chamberlain College of Nursing. (2021). Facts remain that there might be enough participants in a research study and statistical methods to select the sample size. The sample size in quantitative research studies is sometimes invariable, numerical at the beginning of the study, or the end as a narrative (Gray & Grove, 2021). One numerical technique does not decide a sample size in a study.
Reading through the study, you observe that the researcher used chi-square analysis to analyze nominal and ordinal data. Is this the appropriate level of statistical analysis to answer the research question? Explain your rationale.
The Chi-square test is the statistical procedure that describes the different variables in a research study, such as if they are dependent or independent variables. It determines the descriptive measurements and can use nominal or ordinal data, but not for causalities. Since this is the case, the Chi-square analysis is acceptable to use to answer the research question. Chi-square results are not significant if there is no difference in the outcome, but the researcher using chi-square implement numerous samples (Chamberlain College of Nursing, 2021). But if the product is positive, it is applied. My research question can be answered with chi-square because it assesses the mentally ill in a crowded environment.
Reading further, the researcher reports that the p-level led her to conclude that the null hypothesis was rejected. In your critique of the study, you determine that the null hypothesis is true. Do these findings impact your decision about whether to use this evidence to inform practice change? Why or why not?
Type II error regarding null hypotheses occurs because of mistakes in the research methods, but they are false positives. Type II error risk is decided using power analysis. Power analysis includes the level of significance, sample size, power, and effect size as parameters (Polit & Beck, 2017). As long as the minimum power level is obtained for the study, the validity is more robust, and the study is less questionable. Based on the fact that if a research null hypothesis is rejected, the power level analysis is reported to question the study's outcome validity, I would not change my decision to use it as evidence to inform practice change.
References
Chamberlain College of Nursing. (2021). NR-714 week 3: Summaries of multiple Research studies Address the Systematic Review.[Online lesson]. Adtalem Global Education.
Gray, J., & Grove, S. K. (2021). Burns and Grove's the practice of nursing research: appraisal, synthesis, and generation of evidence. Elsevier.
Polit, D. F., & Beck, C. T. (Eds.). (2017). Nursing research: Generating and assessing
evidence for nursing practice (10th ed.). Wolters Kluwer.
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Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
FridayJan 29 at 6:17pm
Hi Racheal:
Thank you for your practical commentary to the Week 4 discussion. I noted the macro-level perspective you provided as part of a general overview of statistical methods and the chi square test. However, I want you to take a deeper dive with me because it is important to really grasp the concepts associated with parametric and non-parametric testing. Remember that you will likely be required during your defense presentation of your DNP project to discuss your data analysis to demonstrate mastery of the statistical tests you utilized to measure the outcomes of your change project. It will be exciting, I promise!
So, let’s talk about this more at the doctoral level now so you will be able to explain it during your final DNP Project presentation. As you have learned from your assigned chapter readings this week, the Chi-square test is a non-parametric statistic, also called a distribution free test (Polit & Beck, 2017). From this important information, you (and your fellow student peers) have learned that non-parametric tests should be used when any one of the following conditions pertains to the data:
The level of measurement of all the variables is nominal or ordinal.
The sample sizes of the study groups are unequal; for the χ2 the groups may be of equal size or unequal size whereas some parametric tests require groups of equal or approximately equal size.
The original data were measured at an interval or ratio level, but violate one of the following assumptions of a parametric test:
The distribution of the data was seriously skewed or kurtotic (parametric tests assume approximately normal distribution of the dependent variable), and thus the researcher must use a distribution free statistic rather than a parametric statistic.
The data violate the assumptions of equal variance or homoscedasticity.
For any of a number of reasons, the continuous data were collapsed into a small number of categories, and thus the data are no longer interval or ratio (McHugh, 2013).
Sometimes the term, homoscedasticity, scares students, but really it shouldn’t. It just means “having the same scatter”. As an example, we want our data results from the participant responses to a questionnaire used as part of a DNP project or research study to be scattered evenly on a plot graph. This is very important if I am trying to compare the responses between two groups who participated (such as physician responses vs nurse responses). However, both groups need to be the same sample size or interpretation of the data, especially for comparison, could be compromised. Does that make sense? Look at the example below:
Homoscedasticity Example.jpg
What about Groups B & C? Is it the same, meaning, evenly scattered? The answer is no, likely because the two groups in the project were not the same sample size (say as an example, 10 nurse and 6 physician participants). So, I cannot say determine an association in the data (among participant responses) and that is a problem. This is where the important use of non-parametric testing comes into play and I will likely need to use a chi square test analysis. The exciting aspect of this particular test is its flexibility in handling data from both two groups and multiple group studies and I can then delve into a possible association between the two sample groups.
Does this information help to better explain how nonparametric testing, including a chi square test can support your upcoming DNP project data analysis? Let me know your thoughts. Thanks!
Kindly,
Dr. Kyzar
References
McHugh, M.L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143-149. http://dx.doi.org/10.11613/bm.2013.018 (Links to an external site.)
Ogee, A., Ellis, M., Scibilia, B., & Pammer, C. (2021). Homoscedasticity? Don't be a victim of statistical hippopotomonstrosesquipedaliophobia. https://blog.minitab.com/blog/statistics-and-quality-data-analysis/dont-be-a-victim-of-statistical-hippopotomonstrosesquipedaliophobia (Links to an external site.)
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer.
, R. (2016). Advanced nursing research: From theory to practice (2nd ed). Jones & Bartlett.
Edited by Theresa Kyzar on Jan 29 at 6:21pm
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Collapse SubdiscussionRacheal Aneke
Racheal Aneke
SundayJan 31 at 8:36am
Dr. Kyzar,
Thank you so much for those in-depth explanations on how to solve homoscedasticity problems with non-parametric testing like chi-square.
Yes, it was and will be more helpful on this DNP Journey.
I appreciate your support,
Racheal Aneke
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Collapse SubdiscussionKimberly Austin
Kimberly Austin
ThursdayJan 28 at 5:36pm
As a practice scholar, you are searching for evidence to translate into practice. In your review of evidence, you locate a quantitative descriptive research study as possible evidence to support a practice change. You notice the sample of this study includes 200 participants and is not normally distributed. Reflect upon this scenario to address the following.
What statistical procedure is needed to determine an effective sample size to make a reasonable conclusion? Explain your rationale.
Research typically relies on samples for their data. Because of the importance of the accuracy of data collected, researchers must carefully choose their samples. Samples should allow the researchers to draw conclusions with good validity and pertain beyond the sample used (Polit & Beck, 2017).
A sampling plan identifies how subjects are selected and how many subjects should be used for the research. In the first step, researchers should clearly identify the criteria that defines who is in the population, and if it represents all types of individuals and diversity for similarly occurring circumstances. This eligible criteria composes the inclusion or exclusion criteria needed for the study. Additional considerations should include costs, constraints, individual ability to participate, and design considerations (Polit & Beck, 2017).
The statistical procedure needed to determine an effective sample size is power analysis. Power analysis is best used with larger sample groups to decrease the likelihood of achieving a deviant sample (Polit & Beck, 2017). In the scenario above, the study includes 200 participants therefore power analysis would be best for this quantitative study as this sample will have an increased likelihood of being representative, however the large sample does not guarantee this (Polit & Beck, 2017).
Reading through the study, you observe that the researcher used a chi-square analysis to analyze nominal and ordinal data. Is this the appropriate level of statistical analysis to answer the research question? Explain your rationale.
The Chi-Square Test determines if two variables are independent or related. This case is typically used with nominal or ordinal data, and results used when the analysis shows a difference (Chamberlain, 2020).
According to McHugh (2013) the Chi-square test is a non-parametric statistic, or distribution free, test, therefore is appropriate for use in the study reviewed above.
Reading further, the researcher reports that the p-level led her to conclude that the null hypothesis was rejected. In your critique of the study, you determine that the null hypothesis is true. Do these findings impact your decision about whether to use this evidence to inform practice change? Why or why not?
Polit and Beck (2017) explain that hypothesis testing is based on negative inference. When differences occur from random factors, it is known as the null hypothesis. When this occurs, care must be taken to not jump to quickly on how to use these results. When deciding to accept or reject a null hypothesis, researchers, must determine how probable that chance was the factor causing the results. Rejecting a true hypothesis, or accepting a false hypothesis are two types of statistical errors researchers can make, known as Type I and Type II errors (Polit & Beck, 2017).
In the scenario above, the researcher concluded the null hypothesis was rejected, however upon my further review, the null hypothesis is true, therefore the researcher made a Type I error; and I would use these findings to support the practice change.
References
Chamberlain College of Nursing. (2020). NR 714 Week 4: Data Analysis [Online lesson]. Adtalem Global Education.
McHugh M. L. (2013). The chi-square test of independence. Biochemia medica, 23(2), 143–149. https://doi.org/10.11613/bm.2013.018
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer Health.
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Collapse SubdiscussionKayla Jones
Kayla Jones
SundayJan 31 at 12:10pm
Hi Kimberly,
Thank you for further explanation in simplest terms for this week’s discussion! Dreaded by statistics, it has been insightful to review the readings in detail along with reading everyone’s posts! While many of us may not communicate the statistical terminology in talking to others, it is used in our everyday life. Hypotheses are basically our guesses of why and how events are occurring. In many instances, our guesses are inspired by our beliefs and experiences (Kaur, 2017). However, in research the hypothesis is the relationship between the independent and dependent variable. The independent variable is the cause with the dependent variable being the effect. Hypotheses play a different role in qualitative and quantitative research. Quantitative research stimulates critical thinking, engaging the researcher to interpret the data. Qualitative research usually does not include the hypothesis in the early stages because observation and detailed interviews/inquiries are the driving forces to justify the hypothesis (Kaur, 2017). Concluding the research, a significance level is established to test the hypothesis in which can further determine the reliability. In agreement with you, it is my belief that it would be safe to implement the change.
Reference
Kaur, S. P. (2017). Writing the hypothesis in research. International Journal of Nursing Education, 9(3), 122-125. https://doi:10.5958/0974-9357.2017.00081.2Links to an external site.
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Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
SundayJan 31 at 6:26pm
Hi Kim,
Thank you for your contribution to the week 4 discussion!
A key point to remember from this discussion relates to power analysis. Please allow me to build on your post.
A power analysis is a statistical procedure needed to determine an effective sample size to make a reasonable conclusion. Researchers conduct a power analysis before recruiting human subjects into their quantitative research study. In each published quantitative study, the research team will state a power analysis as well as report what it was a priori.
Power Analyses (Ali & Bhaskar, 2016; Polit & Beck, 2021)
Help decide how large a sample is needed to make sure judgments about statistical findings are accurate and reliable.
Prevent the recruitment of too many or too few numbers of subjects.
The cut-off for a power analysis is 0.80.
Must be used to determine sample size beforethe study begins
Thank you and take care.
Kindly,
Dr. Kyzar
References
Ali, Z., & Bhaskar, S. B. (2016). Basic statistical tools in research and data analysis. Indian Journal of Anesthesia, 60(9), 662–669. doi:10.4103/0019- 5049.190623. Retrieved https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037948/ (Links to an external site.).
Polit, D.F. & Beck, C. T. (2021). Nursing research: Generating and assessing evidence for nursing practice (11th ed). Wolters Kluwer.
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Collapse SubdiscussionCarlene Yearwood
Carlene Yearwood
ThursdayJan 28 at 8:49pm
Dr. Kyzar and class,
With regards to the sample size of 200 participants and not normally distributed, the statistical procedure needed to determine an effective sample size for a reasonable conclusion is the P value or alpha level, power analysis, effect and alternative hypothesis. Sample size is a critical step in the design of a well - planned research protocol (Polit & Beck, 2017). P values states whether an observation is as a result of a change made or random occurrences. In order to accept the result there must be a low - p value. Studies must have an adequate sample size, relative to the goals and variabilities of the study (Suresh, et, al. 2012).
Chi- square analysis is used to analyze nominal and ordinal data. The chi- square test analysis is one of the most useful statistics for testing hypotheses when the variables are nominal in clinical research (Mc Hugh, 2013). This is the appropriate level of statistical analysis to answer the research question since chi- square can provide information not only on the significance of any observed differences, but also provides detailed information on exactly which categories account for any differences found. The amount and detail of information this statistical analysis can provide makes it one of the most useful tools available to researchers for analysis ( Mc Hugh, 2013).
Depending on the p - value, a low p - value means the sample result would be unlikely if the hypothesis were true and leads to the rejection of the null hypothesis. In null hypothesis testing the criterion is called a (alpha) and is almost set to .05. If there is enough evidence to conclude that the null hypothesis is true, I will use the evidence to inform practice change. Researchers can only conclude that hypotheses are probably true or false and there is always a risk for error ( Polit & Beck, 2017). Researchers can make a Type 1 error by rejecting a null hypothesis that is true.
References
Mc Hugh, M., L. ( 2013). The Chi - square test of independence. Biochemia Medica, 23 ( 2), 143 - 149.
Polit, D.F. & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer.
Suresh, K. P. & Chandrashekara, S. (2012). Sample size estimation and power analysis for clinical research studies. Journal of Human Reproductive Sciences, 5 ( 1), 7 - 13.
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Collapse SubdiscussionEjiro Ohonbamu
Ejiro Ohonbamu
SundayJan 31 at 7:25pm
Carlene thanks for your post. In other to get a better understanding, of the p-value. You stated that the researchers can make a Type 1 error by rejecting a null hypothesis which is true. The null hypothesis in many types of research is typically not voiced, but in this case, it is. Now to determine the obvious that the null was actually true. The null hypothesis is truthfully based on statistical errors that precede further investigation. Prior to any conclusion, do you not think that what led to the initial rejection must be investigated? Will you be using the evidence for the rejection to inform the practice change? I am thinking that the evidence that led to the rejection, is the same evidence that has led to the truth. The higher the level of significance, the more extreme, nature of the risk of a Type I error diminishes (Polit & Beck, 2017). Thanks for your post.
References
Polit, D. F., & Beck, C. T. (Eds.). (2017). Nursing research: Generating and assessing
evidence for nursing practice (10th ed.). Wolters Kluwer.
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Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
ThursdayJan 28 at 10:01pm
Week 4 Class Question
Students:
What is a normal distribution and what does it look like? Why is the normal distribution important in statistics?
I look forward to your responses. Thank you!
Dr. Kyzar
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Collapse SubdiscussionAngela Wilson
Angela Wilson
FridayJan 29 at 2:30pm
Dr. Kyzar and class,
A normal distribution looks like a bell curve. The normal distribution is used in statistics to describe how the variables are distributed in the research study. This is especially significant in evaluating whether the values from the variables are reliable and significant to the research question. Understanding the normal distribution can assist with the evaluation of whether the study is worth translating into practice. The bell curve can show the normal, medium, and mean of the statistical data gathered from the study. Averages can be calculated as well. The bell curve also shows a relationship between the results of the interventions in a study. For example, the tails of the distribution should be equal to the peak in the distribution to determine that both variables are just as likely as the next. This is extremely useful in deciding if the results from the study meet the specifics of the practice setting seeking evidence based practice improvements.
Angie
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Collapse SubdiscussionKimberly Austin
Kimberly Austin
SundayJan 31 at 12:30pm
Angie,
In your post, you mention "the bell curve also shows a relationship between results of the interventions in a study". As I picture this, what comes to mind is something very different than what I used to picture when interpreting data. Since the last time I took a statistics class, our world has changed; and looking at a "curve" or the phrase, "flattening the curve" has become much more well-known since the beginning of the Covid-19 pandemic. Identifying the relationship between results of the interventions has taken on great importance to more than just scientists and scholars as the world tries to understand what is happening with the spread of the Covid-19 virus. In an interesting twist, seeing normal distribution exampled in relationship to Covid-19 has helped me better understand a concept I have struggled with in the past. I appreciate your post in further clarifying the usefulness in determining how results can be applied to practice improvements.
Kim
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Collapse SubdiscussionKate Blue
Kate Blue
SaturdayJan 30 at 11:22am
Dr. Kyzar and class,
What is a normal distribution and what does it look like? Why is the normal distribution important in statistics?
Normal distribution is also called bell-shaped curve distribution. The sampling distribution presents a wave curve that is symmetrical. When sample sizes are large the data tends to result in a normal distribution. When normal distribution of the study sample is achieved, it will always be equal to the general population. Looking at the standard deviations of the data helps tell the accuracy of the sample. With a normal distribution pattern, sixty-eight percent of the data is included within one standard deviation to the left and right. Therefore, the accuracy of data in a normal distribution is high (Polit, 2016). A DNP scholar would put a higher preference on a study's data that resulted in normal distribution due to the accuracy of sampling reflecting the normal population.
Reference
Polit, D. F. (2016). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer Health.
Kate Blue
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Collapse SubdiscussionCarlos Legra Elias
Carlos Legra Elias
SaturdayJan 30 at 12:48pm
Hello Dr Kyzar and Class
Normal distribution can also be referred as a Gaussian distribution which is a distribution of possibility that happens to be symmetric in relation to the mean, which is an indication that any data found close to the mean tend have an occurrence that is more frequent in comparison to data that is not close to the mean. When it is illustrated in a graph, it assumes the shape of a bell. The distribution that is normal has various properties that are interesting which include; has equal median as well as mean, has a bell shape in addition to having a 68% of its data falling within the deviation of 1 standard (Jabbari Nooghabi, 2020).
The deviation that is standard is the one in that is in control of the distribution's spread. A standard deviation that is smaller is an indication that the data is clustered closely around the given mean, while normal distribution will end up being taller. Standard deviation that is taller shows that the spreading of the data is sparse near the mean hence the normal distribution tends to be wider and flatter. Has at the center is basically symmetric, 50% of the values tend to be at the left side of the center and 50% of the values are situated at the right. The general region under the cover basically is one and a normal model standard.
The importance of the normal distribution within statistics is mainly because of its capability of being in a position to fit many phenomena that are natural. For example, measurement error, heights, scores related to IQ in addition to blood pressure are done as per the distribution that is natural (Kim, et.al, 2020).
References
Jabbari Nooghabi, M. (2020). Process capability indices in normal distribution with the presence of outliers. Journal of Applied Statistics, 47(13-15), 2443-2478.
Kim, C., Cho, S., Sunwoo, M., Resende, P., Bradaï, B., & Jo, K. (2020). A Geodetic Normal Distribution Map for Long-term LiDAR Localization on Earth. IEEE Access.
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Collapse SubdiscussionCarlene Yearwood
Carlene Yearwood
SaturdayJan 30 at 4:31pm
Dr. Kyzar and class,
A normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean, so the right side of the center is a mirror image of the left. The area under the normal distribution curve represents probability and the total area under the curve sums to one. Most of the continuous data values in a normal distribution tend to cluster around the mean, and the further a value is from the mean, the less likely it is to occur. For a perfect normal distribution the mean, median and mode are measures of central distribution of numerical values important for any research findings. The normal distribution is often called the bell curve because the graph of its probability density looks like a bell.
The normal distribution is the most important probability distribution in statistics because many continuous data in nature and psychology displays this bell - shaped curve when compiled and graphed for evidence. A normal distribution frequency curve can be used to measure continuous variables, such as IQ, height, weight and blood pressure. As a DNP scholar a normal distribution is an important factor to consider towards the contribution of accurate results for a practice change.
Reference
McLeod, S. A. (2019). Introduction to the normal distribution ( bell curve). Simply psychology: https://www.simplypsychology.org/normal-distribution.html
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Collapse SubdiscussionYosvani Garcia Boss
Yosvani Garcia Boss
SaturdayJan 30 at 9pm
Hello Dr. Kyzar,
Normal distribution which is also referred to as Gaussian distribution, is basically a distribution of probability considered to be symmetric in relation to the mean, which indicates that the data that is close to the mean tend to be more frequent within their occurrence as compared to the data that happens to be far as from the mean. When in a graph form, the normal distribution appears to be in the form of a bell curve. The distribution is said to be an appropriate term in relation to a bell curve of probability. Within a distribution that is normal, mean happens to be zero while the standard deviation ends up being one. This means its skew is zero while the kurtosis is three. These types of distributions happen to be symmetrical though it is not possible to say that every distribution that is symmetrical is normal (Martínez-Flórez, et.al, 2020).
Distributions considered to be normal tend to have a regular appearance in relation to statistics, in addition, they are known to have some properties that are interesting which include having the shape of a bell, has a median as well as a means that are equivalent in addition to a data falls of 68% within a standard deviation of 1. However, in reality, most distributions for pricing can not be said to be normal perfectly. The model of this distribution tends to be motivated by the theorem of Central limit. It is a thesis stating that the calculated averages from the variables that are independent as well as identically distributed randomly tend to have distributions that are approximately normal, despite of the form of distribution where the variables get to be sampled from as long as it has a variance that is finite (Mirfarah, et.al, 2021).
A times the normal distribution tends to be confused with the distribution that is symmetrical. The symmetrical distribution involves having the dividing line producing two images mirroring each other, however, the real data might be in form of humps that are two or a sequence of hills as well as the bell curve indicating a distribution that is normal.
The main reason as to why normal distribution is of great significance within statistics is due to the fact that it fits into many phenomena that are natural. For instance, blood pressure, heights, scores of IQ in addition to measurement error adhere to the distribution that is normal. The distribution that is normal is a function of probability used in describing the manner in which a variable value gets to be distributed. It is known as a distribution that is symmetric whereby most of the given observation tends to cluster all over the peak that is central in addition to the possibilities for values that are at a far distance from the taper off of the mean equally within the two directions. Values that are extreme within the two distribution tails tend to be similarly not likely (Lee and McLachlan, 2020)
The statistical tests that are most powerful by the name parametric which tend to be utilized by the psychologists need the data to be distributed normally. In case the data is not in resemblance with a curve in the bell shape, researchers might be forced into using a type that is considered to be less powerful in relation to the statistical test, which is referred to as statistics that are non-parametric.
References
Lee, S. X., & McLachlan, G. J. (2020). On mean and/or variance mixtures of normal distributions. arXiv preprint arXiv:2005.06883. Retrieved from https://arxiv.org/abs/2005.06883 (Links to an external site.)
Martínez-Flórez, G., Leiva, V., Gómez-Déniz, E., & Marchant, C. (2020). A family of skew-normal distributions for modeling proportions and rates with zeros/ones excess. Symmetry, 12(9), 1439. Retrieved from https://www.mdpi.com/2073-8994/12/9/1439 (Links to an external site.)
Mirfarah, E., Naderi, M., & Chen, D. G. (2021). Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions. Computational Statistics & Data Analysis, 107182. Retrieved from https://www.sciencedirect.com/science/article/pii/S0167947321000165 (Links to an external site.)
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Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
SundayJan 31 at 6:25pm
Hi Yosvani:
Thank you for your thoughtful response. Excellent! I really appreciated the insight you provided about the main reasons that the normal distribution is very significant in statistics and I strongly agree with these points.
Please allow me to add to your comments.
With a normal distribution, you should expect to observe approximately 68% of values within one standard deviation; about 95% of the values within two standard deviations; and about 99.7% are within three standard deviations. This is referred to as the 68 95 99.7 rule or Empirical Rule (Statistics How To, 2019). Exactly half the data is to the left as well as the right side of the mean. To visualize this, with x being the horizontal plane of the graph showing the data value scale and y being the vertical plane showing the frequency scale (Vetter, 2017). An example could be a group of individuals who are participating in a weight loss program. The x would be the weights with the distribution ranging from 150 lbs. to 350 lbs. The frequency would be how often each weight was recorded. In a normal distribution, 250 lbs. would be the mean and median with a bell shape. I think sometimes that students who are still novices with these kind of experiences struggle with how to set up their equations to properly understand the significance of the process involved with normal distribution. Your own thoughts about the importance of this and how non-parametric testing comes into play add meaning to this discussion.
Thank you and take care.
Kindly,
Dr. Kyzar
References
Statistics How To. (2019). What is the 68 95 99.7 rule? Retrieved from https://www.statisticshowto.datasciencecentral.com/68-95-99-7-rule/ (Links to an external site.)
Vetter, T. R. (2017). Fundamentals of research data variables: The devil is in the details. Anesthesia & Analgesia, 125(4), 1375-1380. http://dx.doi.org/10.1213/ANE0000000000002370 (Links to an external site.)
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Collapse SubdiscussionKimberly Austin
Kimberly Austin
SundayJan 31 at 12:19pm
What is a normal distribution and what does it look like? Why is the normal distribution important in statistics?
Normal distribution, which is also known as Gaussian distribution, or bell-shaped curve, is a symmetric, unimodal distribution, and not too peaked probability distribution (Polit & Beck, 2017).
Normal distribution is important in statistics as it is an essential tool used for analysis and interpretation of data (Kumar & Anila, 2017). Normal distribution fits many natural phenomena, such as height, weight, blood pressures, etc. This probability theory calculates corresponding values (Sokouti et al., 2017). As data is plotted, important findings are revealed which identify, standard deviation, mean, and mode.
References
Kumar, C. S., & Anila, G. V. (2017). On Some Aspects of a Generalized Asymmetric Normal Distribution. Statistica, 77(3), 161-79.
http://dx.doi.org.chamberlainuniversity.idm.oclc.org/10.6092/issn.1973-2201/7134 (Links to an external site.)
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer Health.
Sokouti, M., Sadehhi, R., Pashazedeh, S., Eslami, S., Abgadi, H., Ghojazadeh, M., & Sokouti, B. (2017). Most accurate non-linear approximation of standard normal distribution integral based on artificial neural networks, Suranaree Journal of Science & Technology, 24(3), 263-280.
https://chamberlainuniversity.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=127020973&site=eds-live&scope=site
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Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
SundayJan 31 at 6:17pm
Hi Angela, Kim, Carlos, Carlene, & Kate,
Thank you for your posts and for participating in this conversation. You have all provided excellent responses which expand upon the normal distribution!
Adding to your comments, I thought we could summarize the features of a normal distribution which include:
symmetric bell shape is noted;
the mean and median are equal; both located at the center of the distribution;
approximately equals, 68% of the data falls within one standard deviation of the mean;
approximately equals, 95%of the data fall s within two standard deviations of the mean; and
approximately equals, 99.7% of the data falls within three standard deviations of the mean.
normal distribution.svg
Take care,
Dr. Kyzar
References
Khan Academy. (2010, January 8). Normal distribution problems: Empirical rule [Video]. YouTube.
https://youtu.be/OhRr26AfFBU (Links to an external site.)
Khan, S. (2020). Normal distribution problems: Empirical rule. Retrieved from https://www.khanacademy.org/math/ap-statistics/density-curves-normal-distribution-ap/stats-normal-distributions/v/ck12-org-normal-distribution-problems-empirical-rule (Links to an external site.)
Edited by Theresa Kyzar on Jan 31 at 6:18pm
ReplyReply to Comment
Collapse SubdiscussionRacheal Aneke
Racheal Aneke
SundayJan 31 at 9:24pm
What is a normal distribution?
The most important probability distribution in statistics (Links to an external site.) is normal distribution because it fits many natural occurrences and curves for a real-world random variable. It describes how the values of variables are distributed evenly. The normal distribution also functions for independent randomly generated variables. The readings are assembled at the top, and the probability values from the mean (Links to an external site.) are narrow or equal on both sides. Heights, weight, blood pressure, and IQ scores are examples of normal distribution (Gray. J., & Grove. S. K., 2021). Normal distribution is also called bell curve or the Gaussian distribution. The common thing about normal distribution is that mean, median (Links to an external site.), and mode (Links to an external site.) are all equal. The Empirical Rule or the 95% rule allows you to determine the proportion of values that fall within certain distances from the mean.
What does it look like?
Week 4 picture.png
This is a normal distribution with some interesting properties such as the bell shape or curve, the mean and median are equal, and 68% of the data are within a standard deviation (Gray. J., & Grove. S. K., 2021).
Why is the normal distribution important in statistics?
A hypothesis test assumes that figures follow a regular circulation in a normal distribution since the mean, median, and mode are equal. A normal distribution is essential in statistics because its probability distribution does not fit all populations to create variety. Linear and nonlinear degeneration (Links to an external site.) both assume that the residuals (Links to an external site.) also follow a normal distribution (Gray. J., & Grove. S. K., 2021). The central limit theorem (Links to an external site.) in a probability theory established that, in some situations, if independent variables are added, the sum normalizes the curve even if the original variables were not distributed normally.
Reference:
(Gray. J., & Grove. S. K., 2021) Burns and Grove's the practice of nursing research: appraisal, synthesis, and generation of evidence. Elsevier.
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Collapse SubdiscussionEjiro Ohonbamu
Ejiro Ohonbamu
SaturdayJan 30 at 6:18pm
Good evening Dr. Kyzar and classmates.
Appraising Descriptive Statistics
What statistical procedure is needed to determine an effective sample size to make a reasonable conclusion? Explain your rationale.
Quantitative research studies use a power analysis to approximate an actual sample size needed for a practical deduction. However, large sample sizes are desirable to small samples. The reason for this is that the large samples boost statistical conclusion legitimacy, which tends to be more typical. The researchers performed a power analysis at the early stage of the study to estimate the sample size and to assist in the reduction of possible errors of Type II (Polit & Beck, 2018). Basically, sample size defines the number of participants needed in a study. If the research calls for a specific sample to determine a specific outcome, it is essential that that is followed. On that note, with every large or small sample, there is a probability of errors if the sampling technique is not followed. The standard deviation promotes caring for the certainty that the sample is not typically dispersed.
Reading through the study, you observe that the researcher used chi-square analysis to analyze nominal and ordinal data. Is this the appropriate level of statistical analysis to answer the research question? Explain your rationale.
The importance of the Chi-square value is noted by using the appropriate degree of freedom and significance (Turhan, 2020). Usually, the Chi-square determines the relationship between the two existing variables in a sample setting and the probability to show an actual relationship amongst the two variables in a given situation. It also assesses some uncompromising variables are connected with some populations, because variables tend to be a bit diverse from their populations (Turhan, 2020). In data analysis, it is mandatory to find degrees of freedom, expected occurrences, test statistics, and P-value connected to the test statistic (Turhan, 2020).
The researcher reports that the p-level led her to conclude that the null hypothesis was rejected. In your critique of the study, you determine that the null hypothesis is correct. Do these findings impact your decision about whether to use this evidence to inform practice change? Why or why not?
It is essential to note that the value P is the observation possibility of a sample statistic that is the highest test of statistics (Turhan, 2020). Now each hypothesis test uses the p-value to assess the depth of evidence. It shows that the null hypothesis untrue, which establishes that this could be a mistake. The null hypothesis is truthfully based on statistical errors and might institute further need added investigation. On that note, Type I error occurs when the null hypothesis is rejected when it is true. There is a greater risk of a Type I error with a 0.05 level of importance as compared to a 0.01 level of significance. The higher the level of significance, the more extreme, nature of the risk of a Type I error diminishes (Polit & Beck, 2017).
The null hypothesis is not obviously voiced in many research studies. In this case, it is, and it will impact my decision because an error has been determined by the researcher. In particular, scientists are challenged and not convinced with time‐to‐event results intensely understanding the null hypotheses based on hazard roles and their uses (Stensrud et al., 2019).
References
Polit, D. F., & Beck, C. T. (Eds.). (2017). Nursing research: Generating and assessing
evidence for nursing practice (10th ed.). Wolters Kluwer.
Stensrud, M., J., Roysland, K., & Ryalen, P., C. (2019). On null hypotheses in survival analysis.
Biometrics. 75(4),1276-1287. http://doi:10.1111/biom.13102.
Turhan, S., N. (2020). Karl Pearson's Chi-Square Tests. Educational Research and Reviews,16
(9), 575-580. https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1267545
ReplyReply to Comment
Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
SundayJan 31 at 6:28pm
Hi Ejiro:
Good response this week! You offered some very interesting perspectives, and I would like to take this brief opportunity to add to your discussion. My comments relate specifically to the use of the Chi Square Analysis. This type of test along with correlations, t-tests, and ANOVA, are foundational techniques, typically covered in introductory statistics textbooks and introductory statistics classes. Chi-square tests are by far the most popular of the non-parametric or distribution free tests and the default choice when applied psychological researchers analyze categorical data (Sharpe, 2015). It is important to note that it is an important, useful when both variables are nominal-level data, e.g., simple counts of people within a category such as gender or ethnic group membership). Tappen (2016) discusses that the Chi-square test compares the observed (actual) frequencies in each cell to the expected frequencies (p. 350). However, remember that a key objection is that when the total number of observations is under thirty or when one or more expected cell frequencies are under five for total numbers under fifty then Fisher's exact test should be used in place of the Chi-square test (Langley, 1970; Siegel, 1956; Zar, 1974)[as cited by Hoffman, 1975]. Failure to do so may lead to an erroneous probability of rejecting the null hypothesis.
Thank you and take care.
Kindly,
Dr. Kyzar
References
Hoffman, J.E. (1975). The incorrect use of Chi-square analysis for paired data. Clinical and Experimental Immunology, 24, 227-229.
Sharpe, D. (2015). Chi-square test is statistically significant: Now what? Practical Assessment, Research, and Evaluation, 20(8). doi: https://doi.org/10.7275/tbfa-x148 (Links to an external site.). Retrieved https://scholarworks.umass.edu/pare/vol20/iss1/8 (Links to an external site.).
Tappen, R. (2016). Advanced nursing research: From theory to practice (2nd ed). Jones & Bartlett.
ReplyReply to Comment
Collapse SubdiscussionTheresa Kyzar
Theresa Kyzar
SundayJan 31 at 6:12pm
Important PLEASE READ: Week 4 Content Summary
Hi Class:
As we approach the weekend, here are tips from Week 4 and Week 5. These tips will assist you as you prepare for the week 5 quiz!
Week 4 Descriptive Statistics Key Points & Questions Properties of Descriptive Statistics (Polit & Beck, 2017)
Key Points-Descriptive Statistics
Summarize or describe characteristics of a data set.
They are numerical and graphical summaries of data.
Consist of two basic categories of measures: measures of central tendency and measures of variability or spread.
Measures of central tendency describe the center of a data set.
Measures of variability or spread describe the dispersion of data within the set.
Power Analyses (Ali & Bhaskar, 2016; Polit & Beck, 2017)
Help decide how large of a sample is needed to make sure judgments about statistical findings are accurate and reliable.
Prevent the recruitment of too many or too few numbers of subjects.
Must be used to determine sample size before the study begins.
Chi-Square Analysis (Ali & Bhaskar, 2016; Connelly, 2019; Polit & Beck, 2017)
Is a type of inferential statistic.
o Evaluates if two categorical variables (e.g., gender, educational level, race, etc.) are related (correlated) in any way.
o Appropriate for discrete variables (nominal, ordinal).
o Does not work with continuous variables (interval, ratio)
Null Hypothesis Testing (Ali & Bhaskar, 2016; Polit & Beck, 2017)
o The beginning point for statistical significance testing.
o A formal approach to deciding between two interpretations of a statistical relationship in a sample
o Null Hypothesis – suggests there is no relationship between variables, populations, etc. meaning there was an error in sampling.
o Alternative Hypothesis – suggests there is a relationship between variables, populations, etc.
o Rejecting the Null Hypothesis – suggests being in support of the Alternative Hypothesis.
Inferential Statistics (Ali & Bhaskar, 2016)
Allow one to make inferences (conclusions, predictions, associations, correlations) from data.
Take data from samples and make generalizations about a population.
Example: Say you are interested in an intervention to improve care at life’s end in the inpatient setting. Using inferential statistics, you take the data from your sample and assess whether or not the data can be expected to demonstrate that the intervention will work at the population level.
P-value (Taylor, 2019)
With most analyses, an alpha of 0.05 is used as the cutoff for statistical significance.
o If the p-value is less than 0.05, we reject the null hypothesis that there's no difference between the means and conclude that a significant difference does exist
o If the p-value is larger than 0.05, we cannot conclude that a significant difference exists.
o The p-value is also known as the calculated probability.
o The p-value is commonly referred to as the alpha.
Questions for your review as you prepare for the Week 5 Quiz.
What are inferential statistics used for?
Inferential statistics are used to make inferences (conclusions, predictions, associations, correlations) from a sample to a larger population (Ali & Bhaskar, 2016).
What is it called when research findings and conclusions from a study conducted on a sample population are used with the population at large?
Generalizability is the term used to describe when research findings and conclusions from a study conducted on a sample population are used with the population at large (Ali & Bhaskar, 206; Polit & Beck, 2017).
What are some examples of nominal and ordinal variables?
Interval – weight, height
Ratio – Level of pain: 0 to 10
Nominal – gender, blood type, marital status, hair color
Ordinal – socioeconomic status (e.g., low, middle, high), course grades (e.g., A, B, C), high school class ranking (e.g., 1st, 9th, 45th...)
What is a normal distribution and what does it look like?
Represents the distribution of many random variables as a symmetrical bell-shaped graph.
With a normal distribution, you should expect to observe approximately 68% of values within one standard deviation; about 95% of the values within two standard deviations; and about 99.7% are within three standard deviations. This is referred to as the 68 95 99.7 rule or Empirical Rule (Statistics How To, 2019).
What are some of the properties of descriptive statistics?
Summarize or describe characteristics of a data set.
They are numerical and graphical summaries of data.
Consist of two basic categories of measures: measures of central tendency and measures of variability or spread.
Measures of central tendency describe the center of a data set.
Measures of variability or spread describe the dispersion of data within the set.
What is the most precise definition of a sample?
The sample is a subset of the larger population that a researcher aims to study.
What is the difference between the p-value and alpha?
When performing hypothesis testing in statistics, a p-value helps to decide the significance of results. A p-value is a number between 0 and 1.
A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so the null hypothesis is rejected (Taylor, 2019).
The alpha level is the probability of rejecting the null hypothesis when the null hypothesis is true or the probability of making a wrong decision (Taylor, 2019).
What is the name of the hypothesis that is accepted when significant differences exist?
Alternative hypothesis
What is random sampling and why is it important?
Random sampling is choosing small groups (subsets) of a population with each person having an equal chance of being chosen. Random sampling is important in that is supposed to be representative of the larger population (Polit & Beck, 2017).
Random sampling controls sampling bias also called sampling selection bias (Krautenbacher, Theis, & Fuchs, 2017).
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 ]12
ABSTRACT Managing individuals with chronic
disorders of consciousness raises
ethical questions about the
appropriateness of maintaining life-
sustaining treatments and end-of-life
decisions for those who are unable to
make decisions for themselves. For
many years, the positions fostering
the “sanctity” of human life (i.e., life
is inviolable in any case) have led to
maintaining life-sustaining
treatments (including artificial
nutrition and hydration) in patients
with disorders of consciousness,
allowing them to live for as long as
possible. Seldom have positions that
foster “dignity” of human life (i.e.,
everyone has the right to a worthy
death) allowed for the interruption
of life-sustaining treatments in some
patients with disorders of
consciousness. Indeed, most ethical
analyses conclude that the decision
to interrupt life-sustaining therapies,
including artificial nutrition and
hydration, should be guided by
reliable information about how the
patient wants or wanted to be
treated and/or whether the patient
wants or wanted to live in such a
condition. This would be in keeping
with the principles of patient-
centered medicine, and would
conciliate the duty of respecting both
the dignity and sanctity of life and
the right to a worthy death. This
“right to die” has been recognized in
some countries, which have legalized
euthanasia and/or physician-assisted
suicide, but some groups fear that
legalizing end-of-life decisions for
some patients may result in the
inappropriate use of euthanasia, both
voluntary and nonvoluntary forms
(slippery slope argument) in other
patients.
This review describes the current
opinions and ethical issues
concerning end-of-life decisions in
patients with disorders of
consciousness, with a focus on the
impact misdiagnoses of disorders of
consciousness may have on end-of-
life decisions, the concept of
“dignity” and “sanctity” of human life
in view of end-of-life decisions, and
the risk of the slippery slope
argument when dealing with
euthanasia and end-of-life decisions.
We argue that the patient’s diagnosis,
prognosis, and wishes should be
by ROCCO SALVATORE CALABRÒ, MD, PhD; ANTONINO NARO, MD, PhD; ROSARIA DE LUCA, MS, PhD; MARGHERITA RUSSO, MD, PhD; LORY CACCAMO, PhD; ALFREDO MANULI, MS; ALESSIA BRAMANTI; and PLACIDO BRAMANTI, MD
Drs. Calabró, Naro, de Luca, Russo, Manuli, A. Bramanti, and P. Bramanti are from the IRCCS
Centro Neurolesi “Bonino-Pulejo” in Messina, Italy; and Dr. Caccamo is from the Department
of Psychology, University of Padua, Padua, Italy.
Innov Clin Neurosci. 2016;13(11–12):12–24
FUNDING: No funding was received for the preparation of this article.
FINANCIAL DISCLOSURES: The authors have no conflicts of interest relevant to the content of this article.
ADDRESS CORRESPONDENCE TO: Rocco Salvatore Calabrò, MD, PhD; E-mail: [email protected]
KEY WORDS: Artificial nutrition and hydration; euthanasia; minimally conscious state; right to die; sanctity of life; vegetative state.
R E V I E W A N D C O M M E N T A R Y
The Right to Die in Chronic Disorders of Consciousness: Can We Avoid the Slippery Slope Argument?
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 13
central to determining the most
appropriate therapeutic approach
and end-of-life decisions for that
individual. Each patient’s diagnosis,
prognosis, and wishes should also be
central to legislation that guarantees
the right to die and prevents the
slippery slope argument through the
establishment of evidence-based
criteria and protocol for managing
these patients with disorders of
consciousness.
INTRODUCTION
Consciousness is the condition of
normal wakefulness (opening and
closing eyes, preserved sleep-wake
cycle) and awareness (of the self and
environment) in which an individual
is fully responsive to thoughts and
perceptions, as suggested by his or
her behaviors and speech. 1,2
A
disorder of consciousness (DOC)
results when awareness and/or
wakefulness are compromised
because of severe brain damage. 3
In recent years, the advances in
diagnostic procedures and intensive
care have increased the number of
patients who survive severe brain
injury and enter a vegetative state
(VS) (also recently named
unresponsive wakefulness
syndrome)4,5 or a minimally
conscious state (MCS). These
entities represent the two main
forms of chronic DOCs. 6–9
In
particular, patients suffering from VS
are unaware of the self and the
environment and cannot show
voluntary, purposeful behaviors
because of severe cortico-thalamo-
cortical connectivity breakdown 10,11
that globally impairs sensory-motor
processing and cognition. On the
other hand, patients with MCS show
fluctuant but reproducible signs of
awareness and have a limited
repertoire of purposeful behaviors.
The best management of patients
in VS and MCS requires a correct
diagnosis, an evidence-based
prognosis, and the full consideration
of the medical, ethical, and legal
elements concerning DOC. 12
In
particular, patients with DOC need
artificial nutrition and hydration
(ANH) and, often, intensive
treatments. These issues evoke a
thorny ethical problem concerning
the therapeutic decision-making of
such patients (including the
continuation of life-sustaining
therapies) in view of the
uncertainties about their state of
consciousness, prognosis, and
personal wishes, with particular
regard to the end-of-life decisions
(ELD). 13
In fact, it is worth
remembering that the
implementation of any life-sustaining
treatment, including ANH, should
not be automatic when considering
that every individual should make his
or her own decisions regarding any
kind of therapy, according to the
ethical principles of autonomy and
the right of self-determination and
freedom. If an individual is unable to
make a decision, as in the case of
patients with DOC, a surrogate
should be empowered to ensure the
patient’s best interest and personal
wishes concerning ELDs. Therefore,
the right to lose health, become ill,
refuse treatment, live the end of life
according to one’s personal view of
life, and die should be guaranteed,
which is in keeping with human
dignity and the duty to protect
physical and mental health. 14
The right to die is further
supported by the following
arguments. 14–19
1. The right to (a worthy) life
implies the right to (a worthy)
death.
2. There is no reason to have a
“dedicated” right to die, given that
dying is a very natural
phenomenon, as is life.
3. Death is a private matter, and
other people have no right to
interfere if there is no harm to
others or the community (a
libertarian argument.
4. It is possible to regulate
euthanasia by proper laws, and
thus avoid the slippery slope
argument (SSA).
3. Euthanasia may avoid illegal acts,
given that euthanasia may happen
anyway (a utilitarian or
consequentialist argument) and
save the extreme despair of
suicide or homicide.
6. Death is not necessarily a bad
thing, owing to the naturalness of
the phenomenon, regardless of
whether it is induced.
7. Euthanasia may satisfy the
criterion that moral rules must be
universalizable, but
universalizability is a necessary
but not a sufficient condition for a
rule to be morally good.
8. Medical resources can be better
managed, and though this is not a
primary reason for the right to
die, it is a useful consequence.
On the other hand, an opposite
view states that life is a unique and
incorruptible gift that, in keeping
with the concept of the sanctity of
human life, must always be
preserved. Hence, each individual
has the moral duty to attend to all
the treatment necessary to preserve
life, with the exception of those
burdensome and/or disproportionate
to the hoped for or expected result
(i.e., life preservation), and to avoid
behaviors that can deliberately
hasten or cause death. 13,19–24
A possible middle ground is
represented by the concept that the
sanctity and the dignity of life are
somehow coincident; consequently,
there is no reason why accepting
euthanasia makes some individuals
worth less than others. Since it is
possible to regulate euthanasia by
proper laws, there is no risk of the
following: 13,19–24
1. Starting an SSA that leads to
involuntary euthanasia, thus
killing people who are thought
undesirable
2. Less than optimal care for
terminally ill patients (for
economic reasons)
3. Giving too much power to medical
staff in limiting the access to
palliative and optimal care for the
dying, pain relief, saving lives,
using euthanasia as a cost-
effective way to treat the
terminally ill, and limiting the
research for new cures and
treatments for the terminally ill
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 ]14
3. Exposing vulnerable people to
pressure to end their lives (duty
to die) by selfish families or by
medical staff to free up medical
resources or when patients are
abandoned by their families.
At first glance, the problem of
ELDs in patients with DOC may
seem easy to solve. The supporters
of the dignity of human life claim
that since patients with DOC are
unconscious and therefore cannot
fully benefit from their rights, ELDs
should assumed by a third party
(e.g., those with whom the patient is
familiar, medical staff, ethics
committees, or courts).25 These
parties would make the ELDs, taking
into account the best interests of the
patient, his or her wishes, the right
to freedom, and the respect of
human dignity. On the contrary,
those who advocate the sanctity of
life deny any possibility to hasten (by
interrupting life-sustaining
treatments) or cause death (by using
euthanasia and physician-assisted
suicide) (PAS), because they believe
that life preservation is a social and
ethical duty. Moreover, patients with
DOC are in a very frail and
vulnerable condition in which they
cannot express their thoughts on
these issues.13,19–24
Judgements in the Schiavo and
Englaro cases highlight this
controversy. In the Schiavo case,26
the argument was over whether Terri
Schiavo was in a persistent VS,
which had already lasted 15 years. It
began with her collapse in 1990, due
to cardiac arrest, and then her
husband’s initial court attempt to
have her feeding tubes removed in
1998. That was followed by court
battles between the husband and
Schiavo’s parents, who opposed the
removal the feeding tube. Her
feeding tube was removed several
times and then reinserted after more
court orders. It was removed for the
last time in March 2005 after the last
successful court petition by the
husband. Schiavo died 13 days later.
Likewise, Eluana Englaro27
entered a persistent VS in 1992
following a car accident, and
subsequently became the focus of a
court battle between supporters and
opponents of euthanasia. Shortly
after her accident, medical staff
began feeding Englaro with a feeding
tube, but her father “fought to have
her feeding tube removed, saying it
would be a dignified end to his
daughter’s life.” According to
reports, Englaro’s father said that
before the car accident, his daughter
visited a friend who was in a coma
and afterward told him, “If something
like that ever happened to me, you
have to do something. If I can’t be
what I am now, I’d prefer to be left to
die. I don’t want to be resuscitated
and left in a condition like that.” The
authorities refused father’s request,
but the decision was finally reversed
in 2009, after she had spent 17 years
in a persistent VS.
Of note, the United States
Supreme Court has stated that the
irreversibility of a DOC condition and
the clearly defined patient’s wish to
not live under such conditions should
both be clearly demonstrated in
order to withdraw the sustaining
therapies, including ANH.28,29 These
decisions are fully in keeping with
the right of freedom and self-
determination and with the
supporters of the right to life.
However, these are fiercely criticized
and hindered by the sanctity of life
supporters.13,19–24
Therefore, we consider whether it
is more ethical to respect human
dignity than to protect the sanctity
of human life at all costs. A correct
approach to this thorny ethical
dilemma requires taking into account
that there is a tangible uncertainty of
DOC diagnosis and prognosis,
consequently making it more difficult
to respect a patient’s rights properly
when making ELDs. Moreover, it is
still debated whether ANH should be
considered a fundamental (i.e.,
always due) or an aggressive therapy
(i.e., useless and bearer of further
suffering).22,24,30–34 Finally, the
motivation sustaining the right to live
with dignity and in respect of human
life sanctity must be analyzed
carefully, given that the access to the
right to die is a SSA. In fact, both the
withdrawal and the maintenance of
ANH may lead to a chain of related
events that may culminate in some
significant and potentially negative
effects on patients with DOC (e.g.,
death or unnecessary and prolonged
suffering). Liberalizing euthanasia
may lead to unnecessary application
in some cases. The strength of each
argument in favor or against ELDs
depends on whether one can
demonstrate a process that leads to a
significant effect. SSAs can be used
as a form of fear mongering in an
attempt to scare the audience, thus
ignoring the possibility of a middle
ground between the dignity and the
sanctity of human life. In this article,
we will review the key concepts of
the positions supporting the dignity
and the sanctity of human life in an
attempt to find a conciliating view to
solve the SSA.
DOC DIAGNOSES AND
PROGNOSES
When family members are faced
with an irreversible and hopeless
case of unconsciousness, leaving
their loved one in such a condition
may be unbearable for both the
patient and his or her family
members. The relatives of patients
with DOC live a paradoxical reality.
In fact, they live with a family
member who is both present
(inasmuch as he or she is awake)
and absent (unaware) and alive
(inasmuch as he can open and close
his or her eyes, breathe
independently, and make some
movements) and dead (given that he
or she cannot interact with the
family members or the
environment).35–37 These issues can
foster denial or misunderstanding in
the family members of their current
situation. For example, they may
deny that their loved one is in a VS
because they interpret spastic or
reflexive movements as signs of
improvement,6 thus imagining
chances of recovery that are not
supported by evidence-based
medicine. Given that the family
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 15
members may witness important
responses by the patient that have
not been observed by the clinicians,
the medical staff should attempt to
observe the patient with the family
members and involve them in the
patient evaluation. Assisting family
members in better understanding the
patient’s behaviors and level of
awareness is important and may
strengthen the family members’
relationship with the medical staff.38
Hence, the correct communication
of a proper diagnosis and a reliable
prognosis is essential for the best
management of a patient with DOC.
In fact, inaccurate diagnoses and
prognoses and disclosure of false
diagnostic information to families
may have serious ethical, medical,
and legal consequences regarding
the medical management of the
patient, the well-being of patient’s
family members, and ELDs.39,40 In
fact, an incorrect diagnosis and
prognosis may result in a false
expectancy for recovery by the
family members, the unnecessary
and potentially harmful life-support
prolongation of the patient, financial
and emotional resources being
withheld or withdrawn, resource
misuse and misallocation, and an
inappropriate rehabilitation or long-
term care facility enrollment.13
Nonetheless, identifying residual
awareness in unconscious patients
(thus differentiating VS from MCS)
and establishing a correct prognosis
are extremely challenging, owing to
the inadequate sensitivity of the
clinical and paraclinical approaches
currently available for DOC diagnosis
and prognosis.41–47 Even though the
rate of consciousness recovery varies
from eight percent to 72 percent
(but decreases to 20–30% in patients
persisting in comas longer than 24
hours),47 a severe brain injury may
result persistent unconsciousness for
many years. There have been cases
of emergence from DOC, even after
many years.48 Generally, recovery
from a metabolic or toxic coma is far
more likely than from an anoxic one
where the traumatic brain injury
(TBI) occupies an intermediate
prognostic position. A post-anoxic
coma is a state of unconsciousness
caused by global anoxia of the brain,
most commonly due to cardiac
arrest. The outcome after a post-
anoxic coma lasting more than
several hours is generally, but not
invariably, poor.47
About 40 percent of patients with
VS may be clinically misdiagnosed in
that they may be conscious but are
unable to manifest any signs of
consciousness.49–51 Such a condition
has been recently labeled functional
locked-in syndrome (FLIS),
whereby, using neurophysiological
and functional neuroimaging
approaches, clinicians are able to
record residual brain network
connectivity that is sustaining a
covert awareness.52 A patient with
FLIS is clinically similar to one with
VS, with the exception that the
former is aware of the self and the
environment but is unable to
demonstrate awareness or
communicate.6–9 This may due to the
deterioration of sensory-motor
processes, which support motor
function, rather than the breakdown
of cerebral connectivity.6–12,53,60
The low rate of correct diagnoses
and prognoses may depend on the
variations in scale application,
awareness fluctuation, and subjective
interpretation of clinical findings.
The use of paraclinical tests to
detect residual and covert signs of
awareness may help in better
managing patients with DOC and
consequently supporting their right
to ELDs. Nevertheless, different
paraclinical tests would be necessary
to confirm awareness since single
tests may suffer from the same
methodological bias that clinical
approaches do.39,40,54
ELDs AND THE DIGNITY OF
HUMAN LIFE
The thought of interrupting life-
sustaining treatments, including
ANH, may arise in family members
and caregivers when their loved one
suffers from a long-lasting and
potentially irreversible DOC
condition.34 The idea of hastening
one’s own death may occur when
one’s quality of life is poor or
unbearable (e.g., in the case of
physical pain and/or mental anguish)
and life is considered without dignity
(e.g., feeling there is no chance of
recovery, finding nothing that makes
life worth living, and perceiving life
as a burden to others).55–58 One might
consider that respecting the dignity
of life means respecting the dignity
of death and thus avoiding
unbearable and/or unnecessary
suffering or living in what one might
considered a handicapped and
hopeless condition. As stated by
Marc Augé,59 “To die without dignity
is to die alone, abandoned, in an
inhospitable and anonymous place, in
a non-place. To die without dignity
means to die, suffering needlessly or
to die tied up to a technical gadget
that becomes the sovereign of my
last days. To die without dignity also
means to die in isolation, surrounded
by insensitive people, soulless
specialists, and bureaucrats who
carry out their professional tasks
mechanically.”
Many authors22,24,30–34,60–62 criticize
using the interruption of ANH as a
way to hasten death because ANH
suspension inevitably leads to a
lengthy death with the potential for
suffering, and suffering would be
considered an unworthy way to die.
This reasoning suggests that ANH
should be continued in order to avoid
suffering by the patient, even when
that patient is unconscious.61,62
Others argue that ANH is a
standard part of treatment for
patients with DOC, and suggest that
the discontinuation of ANH along
with any other standard treatment
should be permitted when explicitly
requested and that this is in keeping
with the principles of beneficence
and non-maleficence and the
“patient’s best interests” rationale.63–65
However, the rights to freely live
(with obvious due respect for others)
and to make any decision concerning
one’s own personal health are well
established as respecting the
principles of free will and the
personal understanding of the quality
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of life and human dignity.66 This
suggests that a human being has an
innate right to be valued and
respected and to receive ethical
treatment. In 1964, the Declaration
of Helsinki56 stated, “It is the duty of
physicians who participate in medical
research to protect the life, health,
dignity, integrity, right to self-
determination, privacy, and
confidentiality of personal
information of research subjects.”
Such issue was further corroborated
by the Council of Europe in 1997 in
the Convention for the Protection
of Human Rights and Dignity of
the Human Being with regard to
the Application of Biology and
Medicine57 and by the United
Nations Educational, Scientific, and
Cultural Organization’s Declaration
on the Human Genome and
Human Rights58 in 1998. Both of
these councils stated that there is an
absolute need for respecting the
human being both as an individual
and as a member of the human
species, for recognizing the
importance of ensuring the dignity of
the human being, and for
safeguarding human dignity and the
fundamental rights and freedoms of
the individual with regard to the
application of biology and medicine.
In keeping with the duties and
rights set forth in the
aforementioned declarations, a
competent individual or an
individual’s surrogate should be free
to make ELDs. We might consider
that ANH contributes to the physical
well-being of the patient and permits
a continuation of life and, possibly,
improvement in the quality of life.
And in cases of long-lasting VS
where the chances of recovery are
slim at best, we might consider that
withholding ANH might cause
physical and/or emotional pain. One
might also consider, however, that
when the burden of life on the
patient outweighs the benefits (e.g.,
in the case of a patient with DOC
who has no chance of amelioration),
the administration of ANH might be
futile treatment. Even the most
conservative positions on life
maintenance, e.g., the Catholic
church, admit that treatments are
not obligatory when considered
harmful.67 Hence, a form of passive
euthanasia might be acceptable when
1) aggressive or unnecessary
therapies in cases of terminal or
hopeless illness only prolong a
painful and suffering life, 2) an
informed request is made by a
sentient patient or, conscientiously,
by that patient’s surrogate(s); and 3)
death is an unintended, although
foreseeable, consequence of therapy
interruption. In this regard, the
unique scope of therapy interruption
must be to avoid the suffering of the
patient and not to provide or hasten
death. Thus, the most conservative
positions will deny any form of
euthanasia but will provide palliative
care, even if this shortens the
patient’s life, thus producing the
unwanted and undesired side effect
of death (passive euthanasia).
ELDs IN VIEW OF THE SANCTITY
OF HUMAN LIFE
The right to die is strongly
criticized by those who claim the
sanctity of human life and argue that
the willingness to die should be
considered unacceptable for moral,
religious, logical, and philosophical
reasons.13,20–24 In fact, it might be
argued that euthanasia and PAS can
be similarly compared to suicide and
homicide, respectively, even when
performed at the explicit request of
the patient or surrogate, given that
they cause death with established
methods and times. As argued by the
most conservatory positions
(including the Catholic Church),13,20–24
this issue is considered by some as
unacceptable because life is an
inviolable gift (by God or nature)
that cannot be removed by self of by
others. The expression sanctity of
life refers to the idea that human life
is sacred and holy, given that A) all
human beings are to be valued,
irrespective of age, sex, race,
religion, social status, or their
potential for achievement; B) human
life is a basic good as opposed to an
instrumental good—a good in itself
rather than a means to an end; and
C) human life is sacred because it is
a gift from God. Therefore, the
deliberate taking of human life
should be prohibited except in self-
defense or the legitimate defense of
others.
In religion and ethics, the
inviolability or sanctity of life is a
principle of implied protection
regarding the aspects of sentient life,
which are said to be holy, sacred, or
otherwise of such a value that they
are not to be violated.13,20–24 Hence, by
merely existing, every human being
lives his or her own life with dignity,
which includes living correctly,
according to moral and ethical
principles. This suggests that one
must die in a natural way, given that
death is a natural phenomenon.
Death might be considered the ‘last
page’ of life, and life must be
experienced with dignity. One’s
death has been decided by the
superior Being, and thus one should
adopt options of preservation,
including the administration of
analgesics and the provision of
adequate human, psychological, and
spiritual support, which may relieve
the sense of solitude and allow
relatives to grieve and be given the
opportunity to humanize death. On
the other hand, the voluntary refusal
of treatment may lengthen the
patient’s period of suffering but will
still result in death as a result of the
disease itself, not by any action or
omission of life-sustaining therapy. In
such cases, death would be natural
and expected.
Some secular positions criticize
the right to euthanasia and PAS from
a logical point of view.28,29 They claim
that it is unreasonable for one person
to determine the death of another
person as there could be a
reasonable chance of healing,
survival, or alternative care. In
addition, they argue that such a
determination should not be made
due to the inherent uncertainty of
the chances for recovery and real
level of awareness in patients with
DOC (e.g., a patient may be in a
state of FLIS, thus unable to
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communicate with those around him
or her but is still aware). Hence,
using this line of thinking, we might
conclude that patients with DOC
should always have the right to live
and to die peacefully and naturally
later rather than have their lives
prematurely ended by removing a
feeding tube, which would lead to
forced starvation.
MAKING CHOICES
We might consider in what way
the worthiness of life is defined,
since “worthy” is the pivotal element
of the right to death argument. An
important component of ELDs is
each individual’s perception of what
makes life important, worthy, and
valuable. For example, one individual
might perceive that living with a
disability makes his or her life
unworthy, whereas another
individual with the same disability
may consider his or her life
important and worth living.
Therefore, one might argue that the
dignity of one’s life has to be
determined by oneself, as long as
such determination does not harm
others, including family members.
From this point of view, dignity and
sanctity of life are not conflicting,
and ELDs for patients with DOC
could be based on sufficient evidence
that their condition is irreversible
and hopeless and any ELDs are in
keeping with their wishes. It could be
argued that putting an end to
unnecessary suffering is not an
affront to but rather a strengthening
of the sanctity and dignity of life,
provided this end is freely and
consciously wanted by the either the
patient or his or her surrogate on
behalf of the patient.
A clear and conscious decision to
request the discontinuation of one’s
own life-sustaining therapy, including
ANH, may serve as sufficient legal
justification for such a decision in
most United States courts as long as
the patient is an adult who is capable
of making decisions. But what about
in cases of DOC, in which the
patients lack the capacity to make
decisions, and thus the burden of
decision falls on the patient’s
surrogate or guardian? In the United
States, the Quinlan and Cruzan
cases highlight two important
considerations regarding the ethical
admissibility of ELDs made by a
patient’s guardian or surrogate when
the irreversibility of unconsciousness
has been established: 1) making a
presumptive decision for the patient
in the absence of a living will and 2)
making a decision for the patient
with a living will.68–70 Based on the
principle of substituted judgment, in
some states in the United States, a
surrogate is allowed to refuse life-
sustaining treatment on behalf of the
patient, with or without a living will,
if the patient lacks the capacity to
decide for him- or herself and the
treatment is considered burdensome
and/or unnecessary (i.e., the patient
will never recover, even with
treatment). In these cases,
withholding or interrupting life-
sustaining therapy would be
considered to be in the best interest
of the patient. In other states,
however, a surrogate must provide
evidence of a living will that
satisfactorily communicates the
patient’s desire to have life support
discontinued in the event of
irreversible DOC—before the
surrogate can make such a
request.68–70
The ethical admissibility of ELDs
made by a patient’s guardian or
surrogate becomes thornier when
dealing with cases of MCS, because
these patients may have residual
decision-making capacity and
cognitive ability. There are several
cases in the United States where
ANH was withheld in patients with
MCS (e.g., Conroy, Edna, Martin,
and Wendland cases).71–73 Because
MCS individuals are partially
conscious and are not typically
terminally ill, their legal status is
complex. While consciousness itself
might be a good reason to continue
life-sustaining aids, it may not always
be in the patient’s best interest to
continue living a severely
handicapped life.74,75 Determining
when existence is no longer
subjectively valuable for an individual
with a severely limited capacity to
communicate is a vexing situation.
Assuming that all persons have the
same right to die, MCS surrogates
should remain empowered to act on
behalf of these vulnerable
individuals,76 but also should take
into account the potential that their
loved one with MCS might still have
some cognitive ability.
Altogether, the ethical issues
surrounding ELDs made by someone
other than the patient highlight the
importance of establishing living
wills, which are written, legal
instructions regarding a patient’s
preferences for medical care
(doctors and caregivers) if he or she
is unable to make decisions for him-
or herself because of a terminal
illness, severe brain injury, coma, the
late stages of dementia, or the near-
end of life. By careful planning,
unnecessary suffering of the patient
and burdening the caregiver with
difficult ELDs might be avoided
during times of crisis or grief.
Through the power of attorney, a
person (healthcare agent, proxy,
surrogate, representative, attorney-
in-fact, or patient advocate) is
empowered to make decisions for the
individual who is unable to do so.
Living wills are allowed or legalized
in the United States (e.g., California
Natural Death Act77 and United
States Patient Self Determination
Act78), Germany, France, Canada,
Australia, Denmark, and England,
whereas they are still debated in
Italy.79–81 However, a living will may
present some critical problems. For
example, a patient’s wishes may not
be respected due to the lack of clear
legislation concerning the warranty
of the patient’s right to die. The
medical staff’s rights and duties also
may not be clearly defined, causing
further push back on respecting an
individual’s living wills by raising the
concern about potential criminal
consequences of an omission or
fulfillment of patient’s will.82
Furthermore, the disproportionality
of therapies has not been clearly
defined.83 Some may argue that a
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dying patient has the right to refuse
burdensome medical treatments that
A) have no chance of curing or
improving the patient’s medical
condition(s) and/or B) are
disproportionately painful, intrusive,
risky, or costly when compared to
the expected therapeutic outcome. It
can be argued that every individual
should be free to decide whether to
live in such a condition. But
regarding the living wills of patients
with DOC, it is important to consider
not the value of the life of the person
but rather the value of the treatment
to that person.
To avoid potential problems
regarding the authenticity of living
wills, they should be officially
certified by means of a notary or an
audio-video testimony overseen by a
lawyer or a solicitor. Moreover, a
living will should be checked and
updated continuously to confirm the
desires of its author in terms of ELDs
in general and ELDs specific to DOC,
should this occur. And finally, the
possibility of revising the will of an
incapacitated patient regarding
withdrawal of ANH and other life-
supporting care may need to be
considered, with the help of family
members and friends. Living wills
prepared in such a way will reduce
the chances of misinterpretation of
the document by judges, ethics
committees, and public health
committees.
THE SLIPPERY SLOPE ARGUMENT (SSA) OF THE “RIGHT TO DIE”
After considering the ethical
dilemma of maintaining a patient’s
dignity while respecting his or her
sanctity of life, the issue of how to
regulate the right to a worthy death
remains. In fact, the lack of a clear
position by those governments that
have not established ad hoc laws on
ELDs has led to the growth of the
phenomenon of indirect euthanasia,
in which pain medication is
administered to the patient to reduce
pain, with the side effect of
quickening the dying process.84 One
might consider that the primary
intention of such treatment is not to
kill the patient but to make the
patient more comfortable, which
might be viewed as morally
acceptable. This type of indirect
euthanasia might be justified using
the “Doctrine of Double Effect,”
which states that if doing something
morally good has a morally bad side
effect, it is ethically correct only
when the bad side effect is not
intended, even if the bad effect was
foreseeable.85 That is to say the good
result must be achieved
independently of the bad one, the
action must be proportional to the
cause, and the patient must be in a
terminal condition.
Without clear euthanasia
legislation, arbitrary nonvoluntary
and even involuntary euthanasia
could potentially occur.85 Euthanasia
must be voluntary to be ethical, but it
is nonvoluntary when it is used in
unconscious individuals or in persons
who are unable to make a meaningful
choice between living and dying and
an appropriate person (a surrogate or
a legal guardian) makes the decision
on their behalf. On the other hand,
nonvoluntary euthanasia can also be
when the person who dies had
chosen life but instead underwent
euthanasia at the request of someone
else (i.e., murder). A conservative
view is that this SSA could lead to an
out of control acceptance of
euthanasia or PAS, even if it is
deemed unacceptable.13,20–24 From a
logical point of view, if the
acceptance of an initial act logically
entails the acceptance of another
(but undesirable) act, it might be
argued that there is no relevant
conceptual difference between the
two acts. And on the other hand, if
the acceptance of an initial act will
lead to a series of similar acts that
are all acceptable, the eventual last
(and unacceptable) event is not
relevant. From an empirical or
psychological point of view, one
could argue that there is instead no
need for a logical connection between
two events; the acceptance of an
event will, in time and through a
process of moral change, lead to the
acceptance of another one.
To avoid an out of control
application of ELD, and to both grant
and regulate the right to die,
governments in the United Kingdom,
Canada, and some states in the
United States have outlined different
protocols for ELDs and euthanasia. A
clear law that limits ambiguity
regarding the representation of
patients with DOCs is still missing in
many countries, including Italy. The
media has brought attention to some
cases that have forced the courts to
decide whether to suspend ANH, but
no clear, consistent legislation with
documented protocol has been
established when considering
euthanasia for patients with
DOC.27,69,86–91
Active euthanasia, in which a
person (physician or not) directly
and deliberately causes the patient’s
death following that patient’s explicit
request (or that of the patient’s
surrogate) through the use of drugs
is legal in a few countries. As of June
2016, euthanasia of this nature is
legal in the Netherlands, Belgium,
Colombia, and Luxembourg.92 PAS
(which refers to cases wherein the
person, who is terminally ill, needs
and asks for the help of medical
professionals in ending his or her
life) is legal in Switzerland, Germany,
Japan, and Canada; it is also legal in
the states of Washington, Oregon,
Vermont, Montana, New Mexico, and
California in the United States.92
The Netherlands has legalized
both euthanasia and PAS but only
after the patient had received every
available type of palliative care. In
2004, the Groningen Protocol93 was
developed establishing the required
criteria each case must meet before
legal child euthanasia may be carried
out, which protects the liability of
the physician. It is worthy to note
that Belgium also allows child
euthanasia when the young patient is
conscious of his or her decision,
understands the meaning of
euthanasia, and suffers from a
terminal illness that causes an
intractable and unbearable pain; the
child’s parents and the medical team
must approve the request.94
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Luxembourg and Uruguay legalized
euthanasia for terminally ill patients,
who have received the approval of
two doctors and a panel of
experts.94,95
Switzerland allows PAS for both
adult citizens and foreigners,
whereas PAS is legal in Canada only
for all adult Canadian citizens with a
terminal illness that has progressed
to the point where natural death is
“reasonably foreseeable” (the
Assisted Dying for the Terminally Ill
Bill).96–100 Likewise, Colombia
approved euthanasia for terminally ill
patients with cancer, acquired
immunodeficiency syndrome (AIDS),
kidney or liver failure, and
degenerative diseases (including
Alzheimer’s, Parkinson’s, and
amyotrophic lateral sclerosis) that
cause extreme suffering.101 In
Germany, PAS is legal as long as the
lethal drug is taken without any help,
meaning there is no one guiding or
supporting the patient’s hand.102
Active euthanasia is illegal
throughout most of the United
States, whereas the passive form
(i.e., refusing medical treatment
even if this choice may hasten death)
is legal, with PAS being legal in five
states (Oregon, Washington,
Vermont, California, Montana, and
one county in New Mexico). The
legislation passed in Oregon,
Washington, and California was
based on Oregon’s “Death with
Dignity” Act,103–107 which states that a
“competent adult resident who has
been diagnosed by a physician with a
terminal illness, which will kill the
patient within six months, may
request in writing, from his or her
physician, a prescription for a lethal
dose of medication for the purpose of
ending the patient’s life. The
exercise of the option, under this
law, is voluntary, and the patient
must initiate the request. Any
physician, pharmacist, or healthcare
provider who has moral objections
may refuse to participate.” Two
witnesses, one of whom is not
related to the patient in any way,
must confirm the request. After the
request is made, another physician
must examine the patient’s medical
records and confirm the diagnosis.
The patient must be determined to
be free of a mental condition that
impairs his or her judgment. If the
request is authorized, the patient
must wait at least 15 days and make
a second oral request before the
prescription may be written. The
patient has a right to rescind the
request at any time. The patient
must be referred for a psychological
evaluation if the physician has
concerns about the patient’s ability
to make an informed decision or if he
or she suspects the patient’s request
may be motivated by depression or
coercion.103–107
Oregon’s Death with Dignity Act
protects doctors from liability
provided the adult patient is
competent and is in compliance with
the statute’s restrictions; at the same
time, this Act also guarantees and
regulates the access to the right to
die. Participation by physicians,
pharmacists, and healthcare
providers is voluntary. The law also
specifies that a patient’s decision to
end his or her life shall not “have an
effect upon a life, health, or accident
insurance or annuity policy.”
According to the Oregon Death with
Dignity Act: Data Summary 2015
Report,106 about 64 percent of the
people in Oregon who filled
prescriptions for lethal medications
died. There were no significant
differences concerning age, gender,
or levels of instruction. The primary
end of life concerns were the loss of
autonomy, the inability to make life
enjoyable, and loss of dignity.
Notably, there was no evidence of
heightened risk for euthanasia in the
elderly, women, the uninsured,
people with low educational status,
the poor, the physically and mentally
disabled, the chronically ill or
unconscious, minors, people with
psychiatric illnesses including
depression, or racial or ethnic
minorities compared with
background populations.108
In Oregon, futile or
disproportionately burdensome
treatments, including ANH, may be
withheld or interrupted under
specified circumstances and only
with the informed consent of the
patient or, as in the case of VS, with
the informed consent of the legal
surrogate.The United States Patient
Self Determination Act does not
address quality of life issues and
does not make a clear distinction
between active and passive
euthanasia when there is clear and
convincing evidence that the
informed consent to euthanasia,
passive or active, has been obtained
from a competent patient or the legal
surrogate of an incompetent patient.
Active euthanasia is explicitly
illegal in Australia, Austria, China,
Denmark, Finland, France, Ireland,
Italy, Latvia, Lithuania, New Zealand,
Norway, the Philippines, Russia,
Spain, Turkey, and the United
Kingdom, though some will allow
access to advanced care directive
options and offer reduced penalties
for those who assist patients in
dying. In Denmark and France, a sort
of “Right to Die with Dignity” act is
under debate.92
Passive euthanasia, as described
earlier, is legal in India, Sweden, and
Ireland. Moreover, passive euthanasia
is tolerated in the United States,
Mexico, Canada, Israel, Argentina,
Hungary, Finland, Thailand (even for
foreign individuals), Portugal (with
the exception of ANH interruption,
which is not allowed), and Germany.
In Japan, there is a law plan for
active euthanasia and PAS. The plan
includes clauses related to an
unbearable and untreatable suffering
(for which the physician must have
ineffectively exhausted all other
measures of pain relief), inevitable
and approaching death, and a written
consent (living wills and family
consent will not suffice).
Interestingly, Japan’s government
instituted “bioethics SWAT teams,”
which are made available to the
families of terminally ill patients in
order to help them, along with the
doctors, come to an informed
decision based on the personal facts
of the case. In Mexico, terminally ill
patients or, if they are unconscious,
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their closest relatives are permitted
to refuse medication or further
medical treatment to extend life in
Mexico City, the central state of
Aguascalientes, and the Western
state of Michoacán.92,108–110
In Italy, active euthanasia is under
the penal law (as being equated to
intentional homicide), as is assisted
suicide. Nevertheless, the extensive
use of pain-relieving drugs, which
could cause premature death (i.e.,
indirect euthanasia), is not
considered a form of euthanasia;
neither is the abstention from
aggressive treatments (i.e., those
therapies that can only prolong a
state without chances of
amelioration). The Italian
government is still in the
developmental stage in regard to
right to die policy, but theirs is
mainly directed at limiting an
individual’s personal autonomy and
the possibility of writing a personal
living will. Indeed, advanced care
directives, which are not yet broadly
recognized in Italy, probably
represent the best way to safeguard
the principle of autonomy.
AUTHORS’ POINT OF VIEW AND
FUTURE PERSPECTIVES
We believe that all patients with
DOC (i.e., their surrogates) should
be put in the position to freely
choose their own way to end their
lives, in full respect of the personal
and inviolable principles of the
dignity and sanctity of human life. In
our opinion, all patients should be
free to manage their own deaths, or
to empower someone to do it if they
are incapacitated, when they
perceive their quality of life as
severely impaired by physical or
psychological suffering (e.g.,
incontinence, nausea and vomiting,
breathlessness, paralysis, difficulty in
swallowing, depression, fearing a loss
of control or dignity, feeling like a
burden, having a dislike for being
dependent) and when there is no
chance of improvement.
It is urgent that governments
establish safeguards, criteria, and
protocol that protect the right to a
worthy death (in keeping the
patient’s lucid and conscious will and
the personal concepts of dignity and
the sanctity of life), ensure societal
oversight, and prevent euthanasia
and PAS from being abused or
misused (i.e., moving from being a
measure of ‘last resort to one of early
intervention).111 In fact, euthanasia is
progressively moving from terminally
ill people to those who are
chronically ill, and from physical
illness to mental illness or
psychological distress or suffering
(even “tired of living”), and from
conscious to unconscious patients.
This means that the actual laws may
fail to detect and prevent situations
in which people could be subjected
to undue pressure to access or
provide euthanasia and could
circumvent the safeguards that are in
place.
A balanced law should guarantee
and regulate the access to
euthanasia/PAS. Such laws should
require that all patients and their
surrogates are properly educated
regarding the law and their rights
and are capable of making ELDs.
Hence, ELDs must be voluntary, well
considered, informed, and, above all,
persistent over time. The requesting
person must have provided explicit,
written consent and must be
competent at the time the request
was made. In this regard, some states
require that the voluntariness of the
request has to be confirmed by at
least two witnesses.
A law would avoid non-voluntary
euthanasia in patients with DOC by
confirming the lack of chances of
recovery based on an accurate
clinical assessment corroborated by
advanced paraclinical approaches
and by demonstrating the will of the
patient to not live in such a
condition. In cases with no living will
in place, the best interest of the
patient should be pursued according
to evidence-based medicine and the
opinion of the patient’s surrogate.
The role of the physician is
imperative when making informed
ELDs. Indeed, the so-called
“therapeutic alliance” between the
patient and doctor should be
fundamental in ELD (as well as in
life) and only when this alliance
enforces the patient’s autonomy.
Physicians have a great responsibility
to use their knowledge and skill in
the primary interest of their patients,
and should not only aim to relieve
the burden of sorrow but also strive
to educate and enable patients and
their loved ones to understand,
evaluate, and make their own choices
concerning ELD. Only trained
healthcare clinicians can make
evidence-based diagnoses and
prognoses of DOC conditions, thus
the determination made by the
physician on whether a DOC patient
has any chance to improve is
evidence-based and carefully
considered. The pivotal role the
medical staff plays in ELDs has been
highlighted and regulated in
countries where euthanasia and/or
PAS are legal. Switzerland, however,
allows non-physicians to assist in
suicide. In the Netherlands and
Belgium, a second doctor must see
the patient to confirm the request to
die is valid and the suffering
unbearable, and a network of doctors
is trained to undertake these
consultations. In the United States,
in all five of the states that allow
PAS, it is required that a second
doctor must examine the patient to
confirm the terminal illness before
the request is approved. In Oregon,
Washington, and Vermont, the
patient must also see a mental health
professional when either the
attending or consulting doctor
suspects that the patient may be
suffering from a psychological
disorder (such as depression) that is
impairing his or her judgement. In
addition, ad hoc committees (even if
this is delayed) are used to revise
cases with potential mistakes in the
euthanasia or PAS procedures.
Unfortunately, these committees are
largely underutilized.
Governments and magistrates
must work to establish and
communicate the proper protocol for
ELDs to their citizens in order to
guarantee the rights of patients to a
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 21
peaceful and worthy death and to
limit SSA. Indeed, no additional
requirement relating to the patient’s
experience of the disease or any
minimum level of suffering would
easily extend the application of
euthanasia. On the other hand,
narrowing euthanasia to unbearable
suffering would limit the accessibility
of the right to die for all the other
patients. Likewise, limiting the right
to die from a terminal illness (as in
the United States) could result in the
courts excluding patients with VS
from this right, given that they are
not terminally ill and their prognosis
can only be established with
sufficient confidence using advanced,
non-standard neurophysiological or
neuroimaging approaches. In
addition, the acceptance of solely
passive or indirect euthanasia for
patients in VS would limit their
accessibility to their right to die. In
fact, these patients deserve the same
accessibility to the right to die as
other people and do not deserve a
“worse” euthanasia than the others
(i.e., a slow and agonizing death
because of starvation and
dehydration).
Finally, the people who have the
duty of informing and educating the
public seek to help people cope with
the finiteness of the human
condition, the intrinsic limits of
medicine, and the responsibility to
explore the values surrounding
ELDs.
Hence, there is no reason why any
single moral view of physicians,
magistrates, politicians, or educators
should prevail. A conciliation of the
different currents of thought on
euthanasia may be reached by
placing, at the center, the patient’s
rights to freely manage his or her life
and death while keeping the
principles of dignity and sanctity of
human life intact. ELDs should be
guaranteed in patients with DOCs
when negative prognoses have been
well defined, possibly through the
use of advanced neurophysiological
and functional neuroimaging
techniques, and the desires of the
patients to not live in such
conditions have been clearly
expressed by living wills or by
surrogates. Finally, ad hoc
committees to oversee the proper
access and application of euthanasia
should be instituted and potentiated.
ACKNOWLEDGMENT
The authors would like to thank
Prof. Anthony Pettignano for his
editing services.
REFERENCES
1. Zeman A. Consciousness: concepts,
neurobiology, terminology of
impairments, theoretical models
and philosophical background.
Handb Clin Neurol. 2008;90:3–31.
2. Zeman A. What do we mean by
“conscious” and “aware?”
Neuropsychol Rehabil.
2006;16:356–376.
3. Laureys S, Perrin F, Brédart S.
Self-consciousness in non-
communicative patients.
Conscious Cogn. 2007;16:722–741.
4. von Wild K, Laureys ST,
Gerstenbrand F, et al. The
vegetative state—a syndrome in
search of a name. J Med Life.
2012;5:3–15.
5. Laureys S, Celesia GG, Cohadon F,
et al. Unresponsive wakefulness
syndrome: a new name for the
vegetative state or apallic
syndrome. BMC Med. 2010;8:68.
6. Formisano R, D’Ippolito M, Risetti
M, et al. Vegetative state,
minimally conscious state, akinetic
mutism and Parkinsonism as a
continuum of recovery from
disorders of consciousness: an
exploratory and preliminary study.
Funct Neurol. 2011;26:1–10.
7. Formisano R, D’Ippolito M, Catani
S. Functional locked-in syndrome
as recovery phase of vegetative
state. Brain Inj. 2013;27:1332.
8. Formisano R, Pistoia F, Sarà M.
Disorders of consciousness: a
taxonomy to be changed? Brain
Inj. 2011;25:638.
9. Bruno MA, Vanhaudenhuyse A,
Thibaut A, et al. From
unresponsive wakefulness to
minimally conscious PLUS and
functional locked-in syndromes:
recent advances in our
understanding of disorders of
consciousness. J Neurol. 2011;
258:1373–1384.
10. Multi-Society Task Force on PVS.
Medical aspects of the persistent
vegetative state. N Engl J Med.
1994;330:1499–1508.
11. Demertzi A. Multiple fMRI system-
level baseline connectivity is
disrupted in patients with
consciousness alterations. Cortex.
2014;52:35–46.
12. Bernat JL. Chronic disorders of
consciousness. Lancet. 2006;
367:1181–92.
13. Rubin EB, Bernat JL. Ethical
aspects of disordered states of
consciousness. Neurol Clin.
2011;29:1055–1071.
14. Chochinov HM. Dignity Therapy:
Final Words for Final Days. New
York: Oxford, UK University Press;
2011.
15. Rabiu AR, Sugand K. Has the
sanctity of life law “gone too far?”
analysis of the sanctity of life
doctrine and English case law
shows that the sanctity of life law
has not “gone too far.” Philos
Ethics Humanit Med. 2014;9:5.
16. Duttge G. End-of-life decisions in
cases of vegetative state from the
legal point of view. Fortschr
Neurol Psychiatr.
2011;79:582–587.
17. Jox RJ. Best interests in the
“vegetative state.” Fortschr Neurol
Psychiatr. 2011;79:576–581.
18. Maggiore SM, Antonelli M.
Euthanasia, therapeutic obstinacy
or something else? An Italian case.
Int Care Med. 2005;31:997–998.
19. Bernardin J. Consistent Ethic of
Life. Lake Barrington, IL: Sheed &
Ward; 1988.
20. Barry RL. The Sanctity of Human
Life and Its Protection. Lanham:
University Press of America; 2002.
21. Bayertz K. Sanctity of Life and
Human Dignity: Philosophy and
Medicine. Boston: Kluwer
Academic; 1996.
22. Lanken PN, Ahlheit BD, Crawford
S, et al. Withholding and
withdrawing life-sustaining
therapy. Am Rev Respir Dis.
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 ]22
1991;144:726–731.
23. Chan TK, Tipoe GL. The best
interests of persistently vegetative
patients: to die rather that to live?
J Med Ethics. 2014;40:202–204.
24. Ackermann RJ. Withholding and
withdrawing life-sustaining
treatment. Am Fam Physician.
2000;62:1555-60.
25. Rich BA. The ethics of surrogate
decision making. West J Med.
2002;176:127–129.
26. Schiavo ex rel. Schindler v.
Schiavo, 403 F.3d 1289 (11th Cir.
2005).
27. Luchetti M. Eluana Englaro—
chronicle of a death foretold:
ethical considerations on the
recent right-to-die case in Italy. J
Med Ethics. 2010;36:333–335.
28. ProCon.org. Explore pros and cons
of controversial issues. Landmark
euthanasia and physician-assisted
suicide legal cases. 2009.
http://euthanasia.procon.org/view.r
esource.php?resourceID=000131.
Accessed 1 December 2016.
29. Standler RB. Legal Right to Refuse
Medical Treatment in the USA.
12 July 2012.
http://www.rbs2.com/rrmt.pdf
Accessed 1 December 2016.
30. Pellegrino ED. Decisions to
withdraw life-sustaining treatment:
a moral algorithm. J Am Med
Assoc. 2000;283:1065–1067.
31. Kapp MB. Economic influences on
end-of-life care: empirical evidence
and ethical speculation. Death
Studies. 2001;25:251–263.
32. Lipman HI. Deactivation of
advanced lifesaving technologies.
Am J Geriatr Cardiol.
2001;16:109–111.
33. Gedge E, Giacomini M, Cook D.
Withholding and withdrawing life
support in critical care settings:
ethical issues concerning consent.
J Med Ethics. 2007;33:215–218.
34. Santiago C, Abdool S.
Conversations about challenging
end-of-life cases: ethics debriefing
in the medical surgical care unit.
Dynamics. 2011; 22:26–30.
35. Hirschberg R, Giacino JT. The
vegetative and minimally conscious
states: diagnosis, prognosis and
treatment. Neurolog Clinic.
2011;29:773–786
36. Lezak MD. Brain damage is a
family affair. J Clin Exp
Neuropsychol. 1988;10:111–123.
37. Stern J, Sazbon L, Becker E,
Costeff H. Severe behavioral
disturbance in families of patients
with prolonged coma. Brain Inj.
1988;21:256–262.
38. Jacobs HE, Muir CA, Cline JD.
Family reactions to persistent
vegetative state. J Head Trauma
Rehab. 1986;55–62.
39. Fins JJ. Neuroethics and
neuroimaging: moving toward
transparency. Am J Bioeth.
2008;8:46–52.
40. Fins JJ, Illes J, Bernat JL, et al.
Neuroimaging and disorders of
consciousness: envisioning an
ethical research agenda. Am J
Bioeth. 2008;8:3–12.
41. Vos PE. Biomarkers of focal and
diffuse traumatic brain injury. Crit
Care. 2011;15:183.
42. Owen AM, Coleman MR.
Functional MRI in disorders of
consciousness: advantages and
limitations. Curr Opin Neurol.
2007;20:632–637.
43. Coleman MR, Davis MH, Rodd JM,
et al. Towards the routine use of
brain imaging to aid the clinical
diagnosis of disorders of
consciousness. Brain.
2009;132:2541–2552.
44. Leon-Carrion J, Martin-Rodriguez
JF, Damas-Lopez J, et al. Brain
function in the minimally conscious
state: a quantitative
neurophysiological study. Clin
Neurophysiol.
2008;119:1506–1514.
45. Bagnato S, Boccagni C,
Prestandrea C, et al. Prognostic
value of standard EEG in traumatic
and non-traumatic disorders of
consciousness following coma. Clin
Neurophysiol. 2010;121:274–280.
46. Giacino JT, Hirsch J, Schiff N,
Laureys S. Functional
neuroimaging applications for
assessment and rehabilitation
planning in patients with disorders
of consciousness. Arch Phys Med
Rehabil. 2006;87:S67–76.
47. Zandbergen EG, Koelman JH, de
Haan RJ, Hijdra A, PROPAC-Study
Group. SSEPs and prognosis in
post-anoxic coma: only short or
also long latency responses?
Neurology. 2006;67:583–586.
48. Stender J, Gjedde A, Laureys S.
Detection of consciousness in the
severely injured brain. Ann
Update Intensive Care Emerg
Med. 2015;495–506
49. Schnakers C, Giacino JT, Løvstad
M, et al. Preserved covert cognition
in non-communicative patients
with severe brain injury?
Neurorehabil Neural Repair.
2015;29:308–317
50. Candelieri A, Cortese MD, Dolce G,
et al. Visual pursuit: within-day
variability in the severe disorder of
consciousness. J Neurotrauma.
2011;28:2013–2017.
51. Schnakers C, Vanhaudenhuyse A,
Giacino J, et al. Diagnostic
accuracy of the vegetative and
minimally conscious state: clinical
consensus versus standardized
neurobehavioral assessment. BMC
Neurol. 2009;9:35.
52. Owen AM, Coleman MR, Boly M, et
al. Detecting awareness in the
Detecting awareness in the
vegetative state. Science.
2006;313:1402.
53. Giacino JT. Disorders of
consciousness: differential
diagnosis and neuropathologic
features. Semin Neurol.
1997;17:105–111.
54. Giacino JT, Fins JJ, Laureys S,
Schiff ND. Disorders of
consciousness after acquired brain
injury: the state of the science. Nat
Rev Neurol. 2014; 10:99–114.
55. Shultziner D. Human dignity:
functions and meanings. Global
Jurist. 2003;3:1–21.
56. World Medical Association.
Declaration of Helsinki: ethical
principles for medical research
involving human subjects. J Am
Med Assoc. 2013;310:2191–2194.
57. Andorno R. The Oviedo
Convention: a European legal
framework at the intersection of
human rights and health law. J Int
Biotechnol Law.
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 23
2005;2(4):133–143.
58. United Nations Educational,
Scientific, and Cultural
Organization. Universal
Declaration on the Human
Genome and Human Rights. 9
December 1998.
59. Augé M. Non-places. Introduction
to an Anthropology of
Supermodernity. New York:
Verso; 1992.
60. Kollas CD, Boyer-Kollas B. Closing
the Schiavo case: an analysis of
legal reasoning. J Palliative Med.
2006;9:1145–1163.
61. Olsen ML, Swetz KM, Mueller PS.
Ethical decision making with end-
of-life care: palliative sedation and
withholding or withdrawing life-
sustaining treatments. Mayo Clin
Proc. 2010;85:949–954.
62. Royal College of Physicians.
Prolonged Disorders of
Consciousness: National Clinical
Guidelines. London: RCP; 2013.
63. American Academy of Neurology.
Position of the American Academy
of Neurology on certain aspects of
the care and management of the
persistent vegetative state patient.
Neurology. 1989;39:125–126.
64. Larriviere D, Bonnie RJ.
Terminating artificial nutrition and
hydration in persistent vegetative
state patients: current and
proposed state laws. Neurology.
2006;66:1624–1628.
65. Bacon D, Williams MA, Gordon J.
Position statement on laws and
regulations concerning life-
sustaining treatment, including
artificial nutrition and hydration,
for patients lacking decision-
making capacity. Neurology.
2007;68:1097–1100.
66. Aquinas T. Aristotle. On
Interpretation c. 9 18b 30. In:
Summa Theologica. Part 1, Q.83
a1.
67. Gigli GL, Zasler ND. Life-
sustaining Treatments in
Vegetative State: Scientific
Advances and Ethical Dilemma.
Pontifical Academy of Sciences,
FIAMC. Amsterdam: IOS Press;
2004.
68. Kinney HC, Korein J, Panigrahy A,
et al. Neuropathological findings in
the brain of Karen Ann Quinlan—
the role of the thalamus in the
persistent vegetative state. N Engl
J Med. 1994;330:1469–1475.
69. Quinlan J, Quinlan JD. Karen Ann:
The Quinlans Tell Their Story.
New York: Bantam Books. 1977.
70. Cruzan v. Director. Missouri Dept.
of Health, 497 U.S. 261. 1990.
71. Lo B, Dornbrand L. The case of
Claire Conroy: will administrative
review safeguard incompetent
patients? Ann Intern Med. 1986;
104:869–873.
72. Nelson L. Persistent
Indeterminate State: Reflections
on the Wendland Case. Santa
Clara, CA: Santa Clara University;
2011.
73. Eisenberg JB, Kelso JC. The
Robert Wendland case. West J
Med. 2002;176:124.
74. Kahane G, Savulescu J. Brain
damage and the moral significance
of consciousness. J Med Philos.
2009;34:6–26
75. Weber LJ, Campbell ML. Medical
futility and life-sustaining
treatment decisions. J Neurosci
Nurs. 1996;28:56–60.
76. Syd L, Johnson M. The right to die
in the minimally conscious state. J
Med Ethics. 2011;37:175–178.
77. State of California. Natural Death
Act. Health and Safety Code—
HSC. Division 1. Administration of
Public Health [135 - 1179.80]. Part
1.85. End of Life Option Act
[443–443.22].
78. 101st United States Congress
(1989–1990). House: Ways and
Means; Energy and Commerce.
H.R.4449—Patient Self
Determination Act of 1990.
79. Rothschild A. Physician-assisted
death: an Australian perspective.
In: Birnbacher D, Dahl E (eds).
Giving Death a Helping Hand:
Physician-Assisted Suicide and
Public Policy: An International
Perspective. Springer:
International Library of Ethics,
Law, and the New Medicine;
2008:104.
80. Johnston C, Liddle J. The Mental
Capacity Act 2005: a new
framework for healthcare decision
making. J Med Ethics.
2007;33:94–97.
81. Docker C. Advance directives/living
wills. In: McLean SAM (ed).
Contemporary Issues in Law,
Medicine and Ethics. Dartmouth:
Aldershot; 1996.
82. The Commission on Assisted
Dying. The Current Legal Status
of Assisted Dying is Inadequate
and Incoherent. London: Demos;
2011.
83. Mallia P, Daniele R, Sacco S, et al.
Ethical aspects of vegetative and
minimally conscious states. Curr
Pharm Des. 2014;20:4299–304.
84. Hartling OJ. Euthanasia: the
illusion of autonomy. Med Law.
2006;25:189–199.
85. Boyle, JMJr. Toward understanding
the principle of double
effect.ZEthics. 1980;90:527–538.
86. Fine RL. From Quinlan to Schiavo:
medical, ethical, and legal issues in
severe brain injury. Proc (Bayl
Univ Med Cent). 2005;18:303–310.
87. Mueller PS. The Terri Schiavo saga:
ethical and legal aspects and
implications for clinicians. Pol
Arch Med Wewn.
2009;119:574–581.
88. Merrell DA. Erring on the side of
life: the case of Terri Schiavo. J
Med Ethics. 2009;35:323–325.
89. Quill TE. Terri Schiavo: a tragedy
compounded. N Engl J Med.
2005;352:1630–1633.
90. Solarino B, Bruno F, Frati G, et al.
A national survey of Italian
physicians’ attitudes towards end-
of-life decisions following the death
of Eluana Englaro. Intensive Care
Med. 2011;37:542–549.
91. Striano P, Bifulco F, Servillo G.
The saga of Eluana Englaro:
another tragedy feeding the media.
Intensive Care Med.
2009;35:1129–1131.
92. De Lima L, Woodruff R, Pettus K,
et al. International Association for
Hospice and Palliative Care
position statement: euthanasia and
physician-assisted suicide. J
Palliat Med. 2017;20:8–14.
93. Chervenak FA, McCullough LB,
Arabin B. The Groningen Protocol:
Innovations in CLINICAL NEUROSCIENCE [ V O L U M E 1 3 , N U M B E R 1 1 – 1 2 , N O V E M B E R – D E C E M B E R 2 0 1 6 ]24
is it necessary? Is it scientific? Is it
ethical? J Perinat Med.
2009;37:199–205.
94. No authors listed. Euthanasia in
Belgium, the Netherlands and
Luxembourg. Prescrire Int.
2013;22:274–278.
95. Brinkman-Stoppelenburg A,
Vergouwe Y, van der Heide A,
Onwuteaka-Philipsen BD.
Obligatory consultation of an
independent physician on
euthanasia requests in the
Netherlands: what influences the
SCEN physicians judgment of the
legal requirements of due care?
Health Policy. 2014;115:75-81.
96. Hurst SA, Mauron A. Assisted
suicide and euthanasia in
Switzerland: allowing a role for
non-physicians. BMJ. 2003;
326:271–273.
97. Lindblad A, Löfmark R, Lynöe N.
Physician-assisted suicide: a survey
of attitudes among Swedish
physicians. Scand J Public
Health. 2008;36:720–727.
98. Müller-Busch HC, Oduncu FS,
Woskanjan S, Klaschik E. Attitudes
on euthanasia, physician assisted
suicide and terminal sedation–a
survey of the members of the
German Association for Palliative
Medicine. Med Health Care
Philos. 2004;7:333–339.
99. Lemaire A. Law for end of life care
in French. Intensive Care Med.
2004; 30:2120.
100. Emanuel EJ. Euthanasia and
physician-assisted suicide: a review
of the empirical data from the
United States. Arch Intern Med.
2002;162:142–152.
101. Ceaser M. Euthanasia in legal limbo
in Colombia. Lancet.
2008;371(9609):290–291.
102. Horn R. Euthanasia and end-of-life
practices in France and Germany: a
comparative study. Med Health
Care Philos. 2013;16:197–209.
103. The State of Oregon. The Oregon
Death with Dignity act. Oregon
State Legislature
1997;127:800–995.
104. Washington vs. Glucksberg, 521
U.S. 702 (1997).
105. Gonzales v. Oregon, 546 U.S. 243
(2006).
106. Oregon Public Health Division.
Oregon Death with Dignity Act:
Data Summary 2015. Oregon:
Secretary of the State of Oregon;
2016.
107. Oregon Blue Book. Initiative,
Referendum and Recall: 1996-
1999. Oregon: Secretary of the
State of Oregon; 2006.
108. Battin P, van der Heide A, Ganzini
L, et al. Legal physician-assisted
dying in Oregon and the
Netherlands: evidence concerning
the impact o” groups. J Mel
Ethics. 2007;33:591–597.
109. McDougall JF, Gorman M.
Contemporary World Issues:
Euthanasia. Santa Barbara, CA:
ABC-CLIO; 2008.
110. del Río AÁ, Marván ML. On
euthanasia: exploring psychological
meaning and attitudes in a sample
of Mexican physicians and medical
students. Dev World Bioeth.
2011;11(3):146–153.
111. Smets T, Bilsen J, Cohen J, et al.
The medical practice of euthanasia
in Belgium and the Netherlands:
legal notification, control and
evaluation procedures. Health
Policy. 2009;90:181–187.
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