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Updated: Jun 26, 2026
17:23
Chick ex ovo Culture and ex ovo CAM Assay: How it Really Works
Published on: November 30, 2009
Definitions and patterns of CAM use by the lay public.
Dana Fennell1, Ana S Q Liberato, Barbara Zsembik
1University of Southern Mississippi, Department of Anthropology and Sociology, 118 College Drive #5074, Hattiesburg, MS 39406-0001, USA. dana.fennell@usm.edu
Complementary Therapies in Medicine
|February 3, 2009
Summary
Understanding complementary and alternative medicine (CAM) use is challenging due to conceptualization issues. Direct survey questions about CAM modalities provide the richest data for researchers.
Area of Science:
- Integrative Medicine
- Health Services Research
- Qualitative Research Methods
Background:
- Complementary and Alternative Medicine (CAM) is a socially constructed concept.
- Challenges exist in defining and operationalizing CAM, hindering research on public usage patterns.
- Understanding lay conceptions of CAM is crucial for accurate research.
Purpose of the Study:
- To explore public conceptions of Complementary and Alternative Medicine (CAM).
- To investigate methodological approaches for capturing CAM usage patterns.
- To address challenges in conceptualizing and operationalizing CAM in research.
Main Methods:
- Utilized pilot data from undergraduate surveys and journals.
- Employed direct and indirect measures to assess levels and patterns of CAM use.
- Explored the free listing method as a potential solution to cultural bias in CAM conceptualization.
Main Results:
- Pilot data indicate the public struggles with conceptualizing CAM.
- Survey construction significantly impacts the richness of collected data on CAM use.
- Direct survey questions about specific CAM modalities yielded the most comprehensive data.
Conclusions:
- The free listing method can mitigate conceptualization and cultural bias issues in CAM research.
- Public understanding of CAM is complex and influenced by survey design.
- Direct measurement of CAM modalities in surveys is the most effective method for gathering rich data on usage.
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