Qualitative data analysis for health services research: developing taxonomy, themes, and theory

Area of Science:

• Health Services Research
• Qualitative Inquiry
• Data Analysis Methodologies

Background:

• Qualitative data analysis is crucial for understanding complex health phenomena.
• Existing approaches vary across disciplines, necessitating tailored strategies for health services research.

Purpose of the Study:

• To present practical strategies for conducting and evaluating qualitative data analyses.
• To support health services researchers in generating taxonomy, themes, and theory from qualitative data.

Main Methods:

• Drawing on existing qualitative methodological literature.
• Describing practical approaches to qualitative data analysis.
• Focusing on inductive reasoning with predetermined code types (conceptual, relationship, perspective, participant characteristics, setting codes).

Main Results:

• A structured approach to qualitative data analysis is presented.
• Predetermined code types guide interpretation for generating taxonomy, themes, and theory.
• Intersectional analyses using participant characteristics and setting codes enable comparative studies.

Conclusions:

• Qualitative inquiry enhances the description and explanation of complex health services phenomena.
• Improved understanding of qualitative data analysis processes benefits researchers and collaborations.