Using qualitative interviews in CAM research: A guide to study design, data collection and data analysis

Broom, Alex (2005) Using qualitative interviews in CAM research: A guide to study design, data collection and data analysis. Complementary Therapies in Medicine, 13 1: 65-73. doi:10.1016/j.ctim.2005.01.001

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Author Broom, Alex
Title Using qualitative interviews in CAM research: A guide to study design, data collection and data analysis
Journal name Complementary Therapies in Medicine   Check publisher's open access policy
ISSN 1873-6963
0965-2299
Publication date 2005-03
Sub-type Article (original research)
DOI 10.1016/j.ctim.2005.01.001
Volume 13
Issue 1
Start page 65
End page 73
Total pages 9
Place of publication Kidlington, United Kingdom
Publisher Churchill Livingstone
Language eng
Abstract Qualitative methods, such as the in-depth interview, offer a potentially powerful means of uncovering the complex experiences of patients, carers and clinicians within treatment and decision-making processes. In the context of complementary and alternative medicine (CAM), qualitative interview-based projects allow for subjectivity and complexity within human experience, making them a powerful tool for increasing our knowledge of important processes within CAM. However, qualitative interview-based projects are often poorly designed, carried out and analysed. This article provides a guide for CAM researchers on how to use qualitative interviews to produce meaningful, and methodologically sound, research findings.
Keyword CAM
In-depth interviews
Methodology
Qualitative research
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Faculty of Humanities and Social Sciences - Publications
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Citation counts: TR Web of Science Citation Count  Cited 23 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 33 times in Scopus Article | Citations
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Created: Sun, 07 Aug 2011, 11:31:07 EST by Rachel Smith on behalf of Faculty of Social & Behavioural Sciences