gms | German Medical Science

22. Jahrestagung des Deutschen Netzwerks Evidenzbasierte Medizin e. V.

Deutsches Netzwerk Evidenzbasierte Medizin e. V.

24. - 26.02.2021, digital

Searching electronic databases aiming to retrieve studies in dementia care: optimal database combination based on a scoping review

Meeting Abstract

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  • Julian Hirt - Eastern Switzerland University of Applied Sciences (formerly FHS St.Gallen), Department of Health, Institute of Applied Nursing Sciences, Center for Dementia Care, St.Gallen, Schweiz; Martin Luther University Halle-Wittenberg, Medical Faculty, Institute for Health and Nursing Science, International Graduate Academy, Deutschland
  • Johannes Michael Bergmann - German Centre for Neurodegenerative Diseases (DZNE), Deutschland; University Witten/Herdecke, Faculty of Health, Department for Nursing Science, Witten, Deutschland
  • Melanie Karrer - Eastern Switzerland University of Applied Sciences (formerly FHS St.Gallen), Department of Health, Institute of Applied Nursing Sciences, Center for Dementia Care, St.Gallen, Schweiz

Who cares? – EbM und Transformation im Gesundheitswesen. 22. Jahrestagung des Deutschen Netzwerks Evidenzbasierte Medizin. sine loco [digital], 24.-26.02.2021. Düsseldorf: German Medical Science GMS Publishing House; 2021. Doc21ebmV-4-02

doi: 10.3205/21ebm018, urn:nbn:de:0183-21ebm0187

Veröffentlicht: 23. Februar 2021

© 2021 Hirt et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Background/research question: For evidence synthesis, electronic database retrieval is a core component of systematic and comprehensive literature searching as indicated by current methodological guidance. Such databases cover different health topics and references but also show overlaps. With regard to evidence synthesis in dementia care research, it is unclear which combination of databases might ensure optimal research efficiency (i.e. retrieving most of the eligible references by using a minimum number of databases). We aimed therefore to identify the optimal database combination for evidence synthesis using a dementia-specific research question.

Methods: Based on a previously conducted scoping review on facilitators and barriers to implementing nurse-led interventions in dementia care using a comprehensive literature search in eight databases (CENTRAL, CINAHL, Embase, Emcare, MEDLINE, Ovid Nursing Database, PsycINFO, and Web of Science Core Collection) and citation tracking, we retrospectively analysed database overlap and unique references using cross tables and descriptive statistics. Additionally, we analysed similarity of databases using a multiple correspondence analysis (MCA). MCA is a descriptive data analysis technique that simplifies the presentation of complex data.

Results: Our search in eight databases and citation tracking of included studies retrieved 10,527 references. Of these, 6,944 were duplicates and 3,583 were unique references. Searching CINAHL, MEDLINE, and Web of Science as well as conducting backward and forward citation tracking was necessary to identify all the included studies of our final sample. MCA resulted in considerable overlaps in some databases using our search strategies such as CINAHL, PsycINFO, and Emcare.

Conclusion: Searching CINAHL, MEDLINE, and Web of Science and to use citation tracking might be essential to identify studies for evidence synthesis in dementia care research. Additional screening of studies retrieved by other databases might therefore be avoided. Since our study represents one case, the generalisability of the results is limited. Further methodological research on database coverage and overlaps is required to confirm our findings, e.g. as part of dementia-related systematic reviews. Thus, more certainty about optimal database retrieval in dementia care research could be achieved which might be helpful to wisely choose databases for efficient evidence synthesis methods.

Competing interests: All authors declare that there is no competing interest.