Searching for qualitative health research required several databases and alternative search strategies: a study of coverage in bibliographic databases

Frandsen, Tove Faber; Gildberg, Frederik Alkier; Tingleff, Ellen Boldrup

doi:10.1016/j.jclinepi.2019.06.013

Cited by 27 publications

(29 citation statements)

References 41 publications

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“…The main stage will comprise the formal literature search. It will be informed by the scoping stage, by search strategy guidelines from the Cochrane Collaboration, 50 51 guidelines for optimising database searches for medical qualitative research 52 and guidelines for searching the individual databases used, such as for MEDLINE 53 and PsycINFO. 54 Search filters will be identified for each of the inclusion criteria.…”

Section: Search Methodsmentioning

confidence: 99%

“…by other databases. 52 Additionally, PsycINFO was included despite indexing relatively few unique studies, 52 because it may index studies about psychosocial factors related to understanding OverTD. Examples of all search strategies, including filters for each criterion and Boolean operators, are included in online supplementary appendix 2.…”

Section: Studies Examining Understandingmentioning

confidence: 99%

“…Even where database selection is optimised, one study shows that 7% of qualitative health studies that fit the search parameters will not be retrieved, with the majority not indexed by major databases. 52 To increase the chances of relevant studies being retrieved, the reference lists of all studies included in the final sample will be scanned for eligibility, and experts in the field will be contacted to identify studies that may have been missed. Potentially eligible studies will be added to the data screening process (described below).…”

Section: Studies Examining Understandingmentioning

confidence: 99%

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How do patients and the public understand overtesting and overdiagnosis? A protocol for a thematic meta-synthesis of qualitative research

et al. 2020

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IntroductionExamining patient and public understanding of overtesting and overdiagnosis (OverTD) is vital for reducing the burden of OverTD. Studies from disparate contexts, disciplines and focusing on disparate healthcare issues have examined patient and public understanding of OverTD. A synthesis is needed to bring this literature together, examine common themes, strengthen conclusions and identify gaps. This will help steer further research, policy and practice to improve patient and public understanding of OverTD. The objective of this study is to synthesise qualitative research data about patient and public understanding of OverTD.Methods and analysisA thematic meta-synthesis will be used to synthesise primary qualitative research and qualitative components of primary mixed-methods research about patient and public understanding of OverTD. Studies published in English will be included. These will be identified using systematic searches from inception to March 2020 in the Scopus, CINAHL, PsycINFO and MEDLINE databases. Studies that satisfy eligibility criteria will be assessed for methodological quality using the Critical Appraisal Skills Programme (CASP) checklist. Thematic meta-synthesis will comprise three stages: (1) line-by-line coding; (2) generation of descriptive themes and (3) generation of analytic themes. Confidence in the synthesis findings will be assessed using the Grading of Recommendations Assessment, Development and Evaluation Confidence in Evidence (GRADE CERQual) approach. A summary of GRADE CERQual results will be presented alongside the key themes. Study eligibility screening, data extraction, analysis and the CASP and GRADE CERQual assessments will be undertaken independently by two review authors.Ethics and disseminationEthics approval is not required for this secondary analysis of published data. The results will be disseminated in peer-reviewed journals and may be presented in conference papers and elsewhere.PROSPERO registration numberCRD42020156838

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Section: Search Methodsmentioning

confidence: 99%

Section: Studies Examining Understandingmentioning

confidence: 99%

Section: Studies Examining Understandingmentioning

confidence: 99%

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How do patients and the public understand overtesting and overdiagnosis? A protocol for a thematic meta-synthesis of qualitative research

et al. 2020

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“…Focusing on a smaller population (e.g. qualitative reviews) an in-depth analysis is feasible and can offer further insights (3). We would thus also encourage the conduction of further in-depth analyses.…”

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confidence: 99%

Database choice can be informed by both large-scale and in-depth analyses

Frandsen

Eriksen

Hammer

et al. 2019

Journal of Clinical Epidemiology

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“…references not found elsewhere within a given eld. These questions have been investigated prior within qualitative research in general terms (9) and within depression (10), and in quantitative research (11)(12)(13)(14)(15) with one study regarding diabetes mellitus (16). However, it has not previously been investigated in SRs on qualitative research regarding diabetes mellitus.…”

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confidence: 99%

Database selection and data gathering methods in systematic reviews on qualitative research regarding diabetes mellitus - An explorative study

Justesen

Freyberg

Schultz

2020

Preprint

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Background Systematic reviews (SRs) are considered one of the most reliable types of studies in evidence-based medicine. This relies on a comprehensive and systematic search by choosing ideal data gathering methods including selection of databases. The aim of this study was to investigate which combination of databases results in the highest recall of references when conducting SRs on qualitative research regarding diabetes mellitus. Furthermore, we aimed to investigate the current use of databases and the importance of other sources for data collection. Methods 23 SRs (published between the year 2010 and 2019) on qualitative research regarding diabetes mellitus were located through searching PubMed and met the inclusion criteria. Data, including number of databases searched, names of databases, use of additional data sources and use of information specialists were collected for each SR. The SRs concluded a total of 459 unique, qualitative references on diabetes mellitus. These references were systematically hand searched in the five most searched databases: Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE, PsycINFO, Embase and PubMed. Results The SRs searched four databases on average (range two to eight). CINAHL was the most searched database, (19 of the 23 SRs). Two SRs mentioned the involvement of an information specialist and 16 of 23 (70%) SRs searched reference lists of included references, which on average resulted in 16% more references being included. A total of 36 (8%) references were found only in one of the five databases, with CINAHL retrieving the highest number of unique references. Searching the combination of the three databases PubMed, Embase and CINAHL resulted in an overall recall rate of 99.3%, while adding PsycINFO increased overall recall to 99.8%. Conclusions We recommend combining the searches of CINAHL, PubMed, Embase and PsychINFO, and to involve an information specialist to ensure high recall rates, when conducting SRs on qualitative research regarding diabetes mellitus. Especially CINAHL is highly relevant and important to use when searching for qualitative research.

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Searching for qualitative health research required several databases and alternative search strategies: a study of coverage in bibliographic databases

Cited by 27 publications

References 41 publications

How do patients and the public understand overtesting and overdiagnosis? A protocol for a thematic meta-synthesis of qualitative research

How do patients and the public understand overtesting and overdiagnosis? A protocol for a thematic meta-synthesis of qualitative research

Database choice can be informed by both large-scale and in-depth analyses

Database selection and data gathering methods in systematic reviews on qualitative research regarding diabetes mellitus - An explorative study

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