Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and health documents. For healthcare researchers and policy teams, qualitative analysis of obstetric fistula can reveal barriers and lived experiences that clinical measures alone may miss. A peer-reviewed study published by PLOS One on November 6, 2026, examined interviews with women diagnosed with vesicovaginal fistula in Ghana’s rural Kpandai District. This article explains what the study found, how the researchers conducted thematic analysis, and how AI-enabled qualitative research can help teams organize sensitive interview evidence while preserving human interpretation.
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- qualitative analysis of obstetric fistula
- AI qualitative research healthcare
- thematic analysis of health interviews
- obstetric fistula Ghana study
Run this analysis on your own data
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