2017
DOI: 10.1186/s13643-017-0644-y
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Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study

Abstract: BackgroundWithin systematic reviews, when searching for relevant references, it is advisable to use multiple databases. However, searching databases is laborious and time-consuming, as syntax of search strategies are database specific. We aimed to determine the optimal combination of databases needed to conduct efficient searches in systematic reviews and whether the current practice in published reviews is appropriate. While previous studies determined the coverage of databases, we analyzed the actual retriev… Show more

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Cited by 1,197 publications
(819 citation statements)
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References 22 publications
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“…Searches were conducted in Medline, Embase, Web of Science, and Google Scholar; for the latter, only the first 200 search results were retrieved. The selection of databases was based on recommendations from Bramer et al [23], which suggests that these databases represent the minimum requirement for adequate and efficient searches in systematic reviews. The most recent search was executed on 23 August 2018.…”
Section: Information Sources and Search Strategymentioning
confidence: 99%
“…Searches were conducted in Medline, Embase, Web of Science, and Google Scholar; for the latter, only the first 200 search results were retrieved. The selection of databases was based on recommendations from Bramer et al [23], which suggests that these databases represent the minimum requirement for adequate and efficient searches in systematic reviews. The most recent search was executed on 23 August 2018.…”
Section: Information Sources and Search Strategymentioning
confidence: 99%
“…Inclusion and exclusion criteria were set (Table ), and relevant studies were identified by conducting a literature search up to November 2018 for primary empirical studies published in English. Following consultation with a health and medical science library informatician, the chosen combination of databases providing general and special health research content was considered to yield relevant citations widely about the topic of interest (Bramer, Rethlefsen, Kleijnen, & Franco, ). The following databases were searched: CINAHL/EBSCO, PubMed from MEDLINE, ERIC/EBSCO and Business Source Complete/EBSCO, and keywords used were as follows: nurs*, graduat* OR student* OR ‘Students, Nursing’ combined with competenc* OR ‘Professional competenc*’ OR ‘Clinical competenc*’ AND ‘nurse administ*’ OR ‘nurse leader*’ OR ‘head nurse*’ OR ‘charge nurse*’ OR ‘nursing manage*’ OR ‘department nurse*’ OR ‘nurse leader*’ OR ‘nurse director*’ OR ‘Leadership’ OR ‘nurse director*’ (Appendix S1).…”
Section: Methodsmentioning
confidence: 99%
“…Although 2dSearch supports the creation of complete strategies from a blank canvas, its function and value are most readily understood by reference to an example (i.e. text-based) search strategy, 3 https://material.io Figure 3: Visualising a text-based search strategy such as that shown in Figure 1. A trained professional may be able to mentally 'parse' the sequence of commands shown and interpret the general approach, but without associated documentation it is dicult to understand exactly what the searcher intended.…”
Section: Design Concept 31 Query Formulationmentioning
confidence: 99%
“…For a relatively simple query this may not be a major undertaking, particularly if such operators form a relatively small proportion of the overall search strategy. However, the user still has to understand which elements are platform-specic, identify the closest equivalent in the other database and manually edit their query, all of which is laborious and time consuming [3].…”
Section: Query Executionmentioning
confidence: 99%
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