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["Evidence-based medicine" and "mixed methods": how methodological discussions in the medical and social sciences could benefit from each other].

Authors: Udo, Kelle; Tanja, Krones;

["Evidence-based medicine" and "mixed methods": how methodological discussions in the medical and social sciences could benefit from each other].

Abstract

The debate about adequate research methods for obtaining relevant results in clinical medicine and health care does not take place in a vacuum. In the present paper the longstanding debate about the epistemological underpinnings and methodological perspectives of qualitative and quantitative research methods in the social sciences is outlined and fructified for evidence-based medicine and health care. By using examples from research practice we will demonstrate that both the utilisation of qualitative methods and the use of a "mixed methods" design may contribute to the current methodological debate and improve research practice in evidence-based health care.

Related Organizations
Keywords

Evidence-Based Medicine, Knowledge, Research, Humans, Medicine, Reproducibility of Results, Social Sciences, Delivery of Health Care

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
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