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Database Selection and Data Gathering Methods in Systematic Reviews of Qualitative Research Regarding Diabetes Mellitus - an Explorative Study by Justesen, Tobias (author);Freyberg, Josefine (author);Schultz, Anders N. Ø. (author) is a Mathematics article available to read on EtoBox.

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## Background Systematic reviews (SRs) are considered one of the most reliable types of studies in evidence-based medicine. SRs rely on a comprehensive and systematic data gathering, including the search of academic literature databases. This study aimed to investigate which combination of databases would result in the highest overall recall rate of references when conducting SRs of qualitative research regarding diabetes mellitus. Furthermore, we aimed to investigate the current use of databases and other sources for data collection. ## Methods Twenty-six SRs (published between 2010 and 2020) of qualitative research regarding diabetes mellitus, located through PubMed, met the inclusion criteria. References of the SRs were systematically hand searched in the six academic literature databases CINAHL, MEDLINE/PubMed, PsycINFO, Embase, Web of Science, and Scopus and the academic search engine Google Scholar. Recall rates were calculated using the total number of included references retrieved by the database or database combination divided by the total number of included references, given in percentage. ## Results The SRs searched five databases on average (range two to nine). MEDLINE/

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Author

Justesen, Tobias (author);Freyberg, Josefine (author);Schultz, Anders N. Ø. (author)

Publisher

Springer Science and Business Media LLC

Published

2021

Language

EN

Field

Mathematics (Physical Sciences)