Qualitative analysis of health interviews helps researchers understand how people experience illness, stigma, care, and social change. The challenge is turning sensitive interviews, translated transcripts, and participatory materials into defensible themes without losing the participants’ own words. A November 2026 study in PLOS Neglected Tropical Diseases provides a useful example for public health researchers, programme evaluators, and qualitative teams. The study examined a participatory storytelling intervention for people affected by leprosy in Karachi, Pakistan, using in-depth interviews and photovoice. This article summarizes what the researchers found and explains how AI-enabled qualitative research can support similar workflows. The focus is research analysis, not diagnosis or clinical advice.
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- qualitative analysis of health interviews
- AI qualitative research analysis
- health interview thematic analysis
- leprosy stigma research
- participatory storytelling research
Run this analysis on your own data
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- Commentary on NewsFrom Stories to Evidence: AI Thematic AnalysisLearn how AI thematic analysis for health research can surface stigma, empowerment, and intervention insights from interviews and photovoice data. Start today.
