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Running Head: SEARCHING DATABASES 2

WEEK 4 DISCUSSION: SEARCHING DATABASES

NAME:

INSTITUTION:

INSTRUCTOR’S NAME:

DATE:

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SEARCHING DATABASES 2

The PICO(T): Should the use of exercise programs be used as a preventative strategy in reducing

falls for the elderly?

The databases I searched for my information were the CINAHL, PubMed, and the

Walden library. I first searched for unfiltered information in the CINAHL database with Full

Text of peer reviewed articles from 2015-2020, which gave me a huge figures over twenty

thousand, most of which were related to falls and effects of falls. On PubMed, I used the

advanced search filters to narrow my search. Filters are useful in thinning down the search

Badenoch & Heneghan (2002). I clicked to view articles which studied falls in the elderly

published within 5 years. In my search modes and expanders I chose the Boolean phrases with

full text peer-reviewed scholarly articles, ranging from 2015-2020. Boolean phrases help refine

and narrows search results (Skelly & Ecker, (2010),. The special limiters used for Elderly Falls

Info were Peer-Review Journals from 2015-2020, and for CINAHL Plus I re-entered Evidence-

Based Practice with Falls/Elderly. My results got much less 1,259, which is still quite a

substantial amount to search through. From there, I added in PubMed utilizing a feature called

Clinical Inquiries. Clinical Inquiries is designed to improve search results by “linking the type of

question (therapy, diagnosis, etiology, and prognosis) to a stored search strategy that retrieves the

appropriate research methodology” (Schardt, 2007). With added filters i searched the terms

“Elderly Falls and prevention ” in the Walden Library, I got 257 results. Walden Library

(2020),also recommends use of Boolean terms to create a more precise search with more relevant

results (para. 1).After adding the Boolean terms to my next search I got 55,734 results. A study

by (Ho et al., 2016) concluded that it is essential to search at least three different databases to

achieve approximately 90% of the most pertinent information on the subject. A strategy to

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SEARCHING DATABASES 2

increase the rigor and effectiveness of a database search is to use alternative terms (Ho et al.,

2016).

To increase the rigor and effectiveness of searching for the PICO(T) in the databases, I

used other strategies such as; using the database filters. According to Badenoch & Heneghan

(2002), one should use the database filters to filter the evidence obtained. In the Walden Library

database, I used the advanced searching such as 'reducing elderly falls' and configured it to

produce search results under the 'health information' tab, which shows results from MedPub.

This, significantly reduced number of articles that came up to 109 which was more easier to

manage. On the same site, I was able to click on search widgets that are located on the right side

and display different widgets based on the key concepts. Search widgets, enabled me to further

filter the articles to the most relevant and also the recent articles in the CINHAL and PubMed

databases.

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SEARCHING DATABASES 2

References

Badenoch, D. & Heneghan, C. (2002). Evidence-based medicine toolkit. Second Edition.

London: BMJ Books

Skelly, A. & Ecker, E. (2010). Conducting a winning literature search. Evidence-based spine-

care journal, 1(1), 9–14. https://doi.org/10.1055/s-0028-1100887 References

Ho, G. J., Liew, S. M., Ng, C. J., Hisham Shunmugam, R., & Glasziou, P. (2016). Development

of a Search Strategy for an Evidence Based Retrieval Service. PloS one, 11(12),

e0167170. doi:10.1371/journal.pone.0167170

Schardt, C., Adams, M., Owens, T., Keitz, S., & Fontelo, P., (2007). Utilization of the pico

framework to improve searching pubmed for clinical questions. Retrieved from

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-7-16

Walden University Library. (2020). Keyword searching: Finding articles on your topic: Boolean

terms. Retrieved from http://academicguides.waldenu.edu/library/keyword/boolean

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