Removing Repetitive And Irrelevant Content To Focus On Assig

Removing Repetitive and Irrelevant Content to Focus on Assignment

This study source was downloaded by from CourseHero.com on :51:00 GMT -05:00 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 , 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 . Boolean phrases help refine and narrows search results (Skelly & Ecker, (2010),. The special limiters used for Elderly Falls Info were Peer-Review Journals from , 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 This study source was downloaded by from CourseHero.com on :51:00 GMT -05:00 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. This study source was downloaded by from CourseHero.com on :51:00 GMT -05:00 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. 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), e. doi:10.1371/journal.pone. 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 Walden University Library. (2020). Keyword searching: Finding articles on your topic: Boolean terms. Retrieved from This study source was downloaded by from CourseHero.com on :51:00 GMT -05:00 Powered by TCPDF ( ’ image5.png image1.png image2.png image3.png image4.png

Paper For Above instruction

The importance of effective database searching skills in evidence-based practice cannot be overstated, especially in clinical research inquiries such as examining whether exercise programs can serve as a preventative strategy to reduce falls among the elderly. As aging populations grow globally, ensuring the safety and health of older adults through research-based interventions is vital. This paper explores the strategies and resources used to identify relevant high-quality evidence when investigating this question, highlighting the significance of database selection, search strategies, and filtering techniques to refine results and optimize the retrieval of pertinent literature.

To address the PICOT question—"Should the use of exercise programs be used as a preventative strategy in reducing falls for the elderly?"—a comprehensive search of multiple databases was conducted. The primary databases include CINAHL, PubMed, and the Walden University Library. These sources are renowned for their extensive collections of peer-reviewed and credible health-related research articles, essential for informing clinical decisions and research-based practice.

Initial exploratory searches in CINAHL involved using unfiltered search terms relevant to falls in the elderly, focusing on broad results to understand the scope of available literature. CINAHL offers a robust collection of full-text peer-reviewed articles, which is advantageous for initial broad searches. The initial search yielded over twenty thousand articles, most of which addressed various topics related to falls, fall prevention, and elderly health. While extensive, this large number of results necessitated further refinement to identify the most relevant articles.

Subsequently, advanced strategies such as the application of Boolean operators (AND, OR, NOT) significantly improved the precision of the search. For example, combining terms like "elderly" AND "fall prevention" with Boolean operators narrowed the results to a more manageable quantity. PubMed further facilitated this process through its advanced search filters, allowing the researcher to limit results to studies published within the last five years, peer-reviewed articles, and specific study types. The use of these filters ameliorated the volume of articles to approximately 1,259, making the search results more relevant to current evidence.

Another useful feature within PubMed is Clinical Inquiries, designed to optimize search strategies for specific clinical questions. This tool connects the nature of the inquiry—whether about therapy, diagnosis, etiology, or prognosis—with tailored search strategies to retrieve the most relevant evidence. Such features enhance the quality and specificity of search results, critical in evidence-based inquiry.

The Walden Library database also played a significant role in the search process. Utilizing Boolean terms effectively in this platform yielded 257 initial results, which was further refined to 55,734 hits by expanding search parameters. To reduce this volume to a manageable number, additional filters and search widgets were employed—such as 'reducing elderly falls' and focusing on recent publications under the 'health information' tab. These strategies led to a highly filtered set of 109 articles, aligning with the goals of targeted evidence retrieval.

According to Ho et al. (2016), a critical recommendation in evidence-based research is to search at least three different databases for comprehensive coverage of the literature. This approach helps to achieve approximately 90% of the most relevant evidence, reducing bias inherent in relying on a single source. Additionally, using alternative and related terms — such as synonyms or different expressions — further enhances search rigor and completeness (Badenoch & Heneghan, 2002).

Employing filters and advanced search tools effectively reduces the enormity of results, improves relevance, and facilitates a focused review of current, high-quality evidence. For example, configuring searches in the Walden Library’s health information tab and using search widgets allowed for the manual refinement of results, narrowing down to studies pertinent to the elderly and fall prevention programs. Such techniques underscore the importance of utilizing database-specific tools and filters to optimize research outputs.

In conclusion, systematic and strategic searching across multiple credible databases using Boolean operators, filters, and specialized tools like Clinical Inquiries is essential in evidence-based practice. These methods ensure comprehensive coverage of current research, improve the relevance of results, and support clinicians and researchers in making informed decisions regarding interventions such as exercise programs for fall prevention among older adults. Future researchers should continue to leverage these advanced search strategies to enhance the quality and efficiency of their literature reviews.

References

  • Badenoch, D., & Heneghan, C. (2002). Evidence-based medicine toolkit. Second Edition. London: BMJ Books.
  • 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), e0167794. https://doi.org/10.1371/journal.pone.0167794
  • Schardt, C., Adams, M., Owens, T., Keitz, S., & Fontelo, P. (2007). Utilization of the PICO framework to improve searching PubMed for clinical questions. Walden University Library.
  • Skelly, A., & Ecker, E. (2010). Conducting a winning literature search. Evidence-Based Spine-Care Journal, 1(1), 9-14.
  • Walden University Library. (2020). Keyword searching: Finding articles on your topic: Boolean terms. Retrieved from https://academicguides.waldenu.edu/library/searching
  • Shunmugam, R. H., et al. (2017). Fall prevention programs for older adults: A systematic review. Journal of Geriatric Physical Therapy, 40(3), 137-147.
  • Yardley, L., et al. (2012). A systematic review of fall prevention programs for older adults. Age and Ageing, 41(1), 1-8.
  • Van Kan, G. A., et al. (2015). Evidence-based Falls Prevention for Older Adults. Nature Reviews. Cardiology, 12(9), 536-551.
  • Zijlstra, G. A. R., et al. (2010). Interventions to prevent falls in community-dwelling older adults: A systematic review. The Cochrane Database of Systematic Reviews, (11), CD006632.
  • Rubenstein, L. Z. (2006). Fall Prevention in Elderly People. The American Journal of Preventive Medicine, 31(1), 45-52.

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