CINAHL Database and PubMed Database Essay

CINAHL Database and PubMed Database Essay Assignment Paper

Methods

We carried out a retrospective analysis of a sample of systematic reviews of qualitative studies to investigate CINAHL’s potential contribution to identifying the evidence. In particular, we planned to identify the percentage of included studies available in CINAHL and the percentage of the included studies unique to the CINAHL database. After screening 58 qualitative systematic reviews identified from the Database of Abstracts of Reviews of Effects (DARE), we created a sample set of 43 reviews covering a range of topics including patient experience of both illnesses and interventions.

Results

For all 43 reviews (21 %) in our sample, we found that some of the included studies were available in CINAHL. For nine of these reviews, all the studies that had been included in the final synthesis were available in the CINAHL database, so it could have been possible to identify all the included studies using just this one database, while for an additional 21 reviews (49 %), 80 % or more of the included studies were available in CINAHL. Consequently, for a total of 30 reviews, or 70 % of our sample, 80 % or more of the studies could be identified using CINAHL alone. 11 reviews, where we were able to recheck all the databases used by the original review authors, had included a study that was uniquely identified from the CINAHL database. The median % of unique studies was 9.09 %; while the range had a lowest value of 5.0 % to the highest value of 33.0 %.

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Conclusions

Assuming a rigorous search strategy was used and the records sought were accurately indexed, we could expect CINAHL to be a good source of primary studies for qualitative evidence syntheses. While we found some indication that CINAHL had the potential to provide unique studies for systematic reviews, we could only fully test this on a limited number of reviews, so we are less confident about this finding.CINAHL Database and PubMed Database Essay.

Credible sources are valuable elements when it comes to research as they evidence facts and provide basis for future research in the areas of interest. With internet growth and complex medical situations across the globe, there has been an increasing demand for online biomedical reference databases that are credible and reliable to providing background information in the area of medical related issues and research. Two of the widely used databases in the area of clinical and medicine research are CINAHL and the PubMed Databases. The reliability of these two databases is drawn from a variety of credible research journals and citations from a wide clinical and medical perspective, making the two a popular choice for many researchers in these areas.

CINAHL mainly covers nursing and allied health sciences with more that 4,000 journal articles within the database. Valued for its qualitative evidence, CINAHL is widely used in the nursing field, especially in reviews involving qualitative studies in this area (Wright et al., 2015). On the other hand, PubMed provides a wide range of journal articles in the area of life sciences and biomedical topics, making it a popular and reliable research resource in these areas (Smalheiser & Cohen, 2018). Unlike Google Scholar and general internet search, both CINAHL and the PubMed Databases employ the indexed content system which provides relevant search in terms of areas of study, search limits and access using controlled filters (Ahmadi et al., 2015). These features assist the researcher in finding the most relevant articles in a given area of study within a short time. Furthermore, the sources within these databases are also verified and qualified as certified research from renown professional scholars, most of which are categorized as peer reviewed articles. This is absent with Google Scholar or the general internet, where most search results are generalized and may in a way produce irrelevant articles or information either in terms of credibility or unrelated topics.

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