From Stigma to Agency: AI Qualitative Research Analysis

The PLOS Neglected Tropical Diseases study, published on November 2, 2026, found that participatory storytelling in Karachi was associated with reduced internal and anticipated stigma, stronger self-acceptance, and greater individual empowerment among people affected by leprosy. The study also found that community misconceptions, gender norms, visible disability, and economic barriers limited broader social change.

• The 2026 study included 17 participants, with 16 taking part in photovoice and 14 completing in-depth interviews.
• The researchers collected interview data in June 2025 after purposive recruitment between May 30 and June 20, 2025.
• The strongest reported change occurred at the individual level, where participants described movement from shame and concealment toward confidence, openness, and pride.
• The study reported that all participants described increased confidence, but only 4 of the 17 participants were women, limiting the breadth of gender-specific conclusions.
• The research team concluded that sustained community contact, formal peer roles, inclusive outreach, and links to socioeconomic opportunities are needed for wider impact.

The Karachi study used interviews and photovoice to examine how a 2024 participatory storytelling pilot influenced stigma and empowerment, according to Ibrahim and colleagues' 2026 PLOS study. Researchers interpreted the data through the Social Ecological Model, covering individual, interpersonal, community, institutional, and structural levels.

The study's 14 in-depth interviews lasted 60 to 90 minutes and used live Urdu interpretation, according to the 2026 methods section. The research team also analysed participant-created photographs, captions, and group discussions to connect spoken accounts with visual representations of identity and change.

The researchers combined deductive and inductive coding, according to the 2026 study. The initial codebook reflected stigma, empowerment, and Social Ecological Model domains, while new codes emerged from the transcripts and photovoice data. The team used NVivo 14, reviewed a subset of coded transcripts, and resolved coding ambiguities through consensus.

One participant described the emotional effect of disclosure by saying, "I have no fear, no shame, not feeling any guilt. I’m feeling like... I feel lighter and so relaxed." The quotation appears in the 2026 PLOS study and illustrates why qualitative analysis must preserve meaning, emotion, and context rather than reduce interviews to isolated keywords.

The study was qualitative and had no baseline or comparison group, according to the authors' 2026 limitations section. The findings therefore describe perceived change and possible mechanisms, not a controlled estimate of intervention effectiveness.

Health and policy researchers should analyse stigma interventions across multiple social levels rather than treating empowerment as an individual outcome alone. The 2026 PLOS study found the clearest gains in self-acceptance and confidence, while community-level stigma remained constrained by misconceptions, gender norms, visible disability, and structural barriers.

• Researchers should separate internal stigma, anticipated stigma, and enacted stigma because the 2026 study reported stronger change in the first two categories than in participants' wider social environments.
• Researchers should compare themes by gender, disability status, employment, age, and participation pathway because the 2026 study identified these characteristics as influences on stigma and programme access.
• Researchers should preserve participant language and metaphors because the 2026 study used expressions such as "every face is different, but the colour of blood is the same" to show how shared identity emerged through peer discussion.
• Programme evaluators should track contact frequency, audience, setting, and follow-up because the 2026 study found that episodic, institution-based contact had limited reach beyond safe organisational spaces.
• Qualitative teams should document translation, positionality, consent, and analytic decisions because the 2026 study identified live interpretation and institutional settings as potential sources of meaning loss or social desirability bias.

The authors of the 2026 PLOS study recommend peer-led storytelling, sustained community engagement, gender- and disability-responsive design, and economic opportunities. AI-assisted qualitative analysis can help teams organise evidence for those decisions, but researchers must retain responsibility for ethical interpretation and participant protection.

The 2026 PLOS study shows that qualitative evidence can reveal both the personal gains and structural limits of participatory storytelling. AI qualitative research analysis can help health researchers organise interviews, photovoice discussions, translations, and subgroup comparisons while preserving a clear link between themes and source data.

Researchers should use AI as an analytical aid, not as a substitute for consent, reflexivity, contextual knowledge, or human interpretation. Teams working with sensitive health interviews can try Evidano for free to accelerate qualitative synthesis with a research-focused platform.