Qualitative Data Analysis for Health Services Research: Developing Taxonomy, Themes, and Theory

Bradley, Elizabeth H.; Curry, Leslie A.; Devers, Kelly J.

doi:10.1111/j.1475-6773.2006.00684.x

Cited by 3,437Qualitative Research Methods and ApplicationsQualitative Research Methods and EthicsComputational and Text Analysis Methods

Qualitative Data Analysis for Health Services Research: Developing Taxonomy, Themes, and Theory

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Bradley, Elizabeth H., Curry, Leslie A., Devers, Kelly J.·2007·Health Services Research

DOI 10.1111/j.1475-6773.2006.00684.xPMC PMC1955280

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Abstract

Objective. To provide practical strategies for conducting and evaluating analyses of qualitative data applicable for health services researchers. Data Sources and Design. We draw on extant qualitative methodological literature to describe practical approaches to qualitative data analysis. Approaches to data analysis vary by discipline and analytic tradition; however, we focus on qualitative data analysis that has as a goal the generation of taxonomy, themes, and theory germane to health services research. Principle Findings. We describe an approach to qualitative data analysis that applies the principles of inductive reasoning while also employing predetermined code types to guide data analysis and interpretation. These code types (conceptual, relationship, perspective, participant characteristics, and setting codes) define a structure that is appropriate for generation of taxonomy, themes, and theory. Conceptual codes and subcodes facilitate the development of taxonomies. Relationship and perspective codes facilitate the development of themes and theory. Intersectional analyses with data coded for participant characteristics and setting codes can facilitate comparative analyses. Conclusions. Qualitative inquiry can improve the description and explanation of complex, real‐world phenomena pertinent to health services research. Greater understanding of the processes of qualitative data analysis can be helpful for health services researchers as they use these methods themselves or collaborate with qualitative researchers from a wide range of disciplines.

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“As per recommendations on team approaches [43], our team’s mix of researchers from psychology, psychiatry, and sociology perspectives helped us explore differences in interpretation and reduced the influence of theoretical or personal preconceptions.”
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“Intercoder reliability was encouraged by ensuring at least two members of the research team coded each of the transcripts independently and agreed upon the final coding used46.”
From The complexity of mental health care for people with COPD: a qualitative study of clinicians’ perspectives (2021) · cites this paper as [46]

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Authors: Bradley, E. H., Curry, L. A., & Devers, K. J.
Affiliations: Yale University (US)
UConn Health (US)
Virginia Commonwealth University (US)
ORCID: Bradley, Elizabeth H.
Curry, Leslie A.
Venue: Health Services Research
Publisher: Wiley
Published: 2007-01-24
Volume: 42
Issue: 4
Pages: 1758-1772
ISSN: 0017-9124 (ISSN-L)
1475-6773
DOI: 10.1111/j.1475-6773.2006.00684.x
PMC: PMC1955280
OpenAlex: W1987614881
Semantic Scholar: 681b6891fca9fab4b6c968ebe6b889fd5d60db7c
Cited by: 3,437
References: 66
Citations by year: 2026: 140 · 2025: 209 · 2024: 261 · 2023: 265 · 2022: 334 · 2021: 304 · 2020: 295 · 2019: 238 · 2018: 237 · 2017: 235 · 2016: 189 · 2015: 196 · 2014: 145 · 2013: 118 · 2012: 93
FWCI: 149.24
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Health Services Research (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Education › Qualitative Research Methods and Applications
Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Keywords: qualitative data analysis, taxonomy development, theme development, theory development, inductive reasoning, participant characteristics, intersectional analysis, interdisciplinary collaboration
MeSH terms: Health Services Research, Humans, Statistics as Topic, Qualitative Research

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Qualitative Data Analysis for Health Services Research: Developing Taxonomy, Themes, and Theory

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