Beyond Stigma: Qualitative Research on Leprosy

According to the 2026 PLOS study, “Kokobe” and “gwasi”: Perceptions of leprosy in French Guiana, culturally specific terms, spiritual explanations, stigma, and treatment experiences shaped how participants understood leprosy and navigated care.

The study shows that AI-enabled qualitative research can help health teams compare themes across cultural and patient segments, but researchers must preserve context, protect participant confidentiality, and validate interpretations with culturally informed experts.

• Between April and September 2025, the PLOS research team interviewed 20 patients and 37 community members in French Guiana across 37 interviews.
• The PLOS study found that Maroon and Haitian participants often described spiritual or taboo-related causes, while bacterial causation was mentioned by only 2 patients and 1 community member.
• The study identified “kokobe” and “gwasi” as culturally specific terms associated respectively with deformities and skin patches, although neither term exactly matched the biomedical category of leprosy.
• The PLOS researchers reported that local plant-based remedies were widely used, but the remedies did not appear to compromise adherence to multidrug therapy in the study sample.
• The study concluded that culturally sensitive communication should clarify person-to-person transmission while acknowledging local terminology, practices, and explanatory models.

The 2026 PLOS study found that leprosy perceptions in French Guiana were shaped by cultural background, language, historical memory, social stigma, and access to healthcare. The researchers used semi-structured interviews because French Guiana has substantial linguistic diversity, varied literacy levels, and overlapping biomedical and local explanations of illness.

The PLOS research team recruited patients from health centres across French Guiana and community members from western French Guiana villages connected to the former Acarouany leprosarium. Patient interviews explored lived experience, explanatory models, stigma, and care pathways, while community interviews examined collective representations and historical memories.

The study used deductive and inductive thematic analysis. Researchers first organized material around interview-guide domains, then added emergent codes for culturally specific meanings. The analysis was initially performed manually in an Excel database, where quotations were linked to participant identifiers and communities of origin.

The findings illustrate why qualitative health research cannot rely only on standardized categories. One community participant explained the relationship between visible symptoms and disability by saying, "It starts with spots... If you don't treat it, your fingers can bend." The PLOS authors also reported that one mother did not recognize the French terms for leprosy but understood the local terms “gwasi” and “kokobe.”

The study has important limits. The PLOS authors stated that the small number of participants within each cultural group limits group-specific interpretation, and they presented the findings as a diversity of perspectives rather than generalizable characteristics of every cultural group.

The 2026 PLOS study shows that qualitative research on leprosy stigma can reveal communication barriers and cultural meanings that standardized measures may overlook. The study's 20 patient and 37 community-member interviews demonstrate the value of combining thematic analysis with linguistic, historical, and community context.

AI-enabled qualitative research can make this work easier to organize by helping teams code transcripts, compare segments, identify recurring themes, and retrieve supporting quotations. AI should support, not replace, culturally informed interpretation and ethical research practice.

Health researchers who need to analyze interviews, documents, or open-ended survey responses can try Evidano for free and begin building a faster, more reviewable qualitative analysis workflow.