Qualitative analysis of disclosure decision aids

Why the stakeholder split matters: providers and users often prioritize different constraints, with providers focused on feasibility and scale and users focused on trust and emotional readiness.

Researchers should capture both perspectives early and weight end-user preferences when the intervention targets behavior and wellbeing.

What to extract from NGT notes: combine rank scores, clarifying quotes, and adaptation asks into actionable outputs.

Rank scores (quantitative) can show majority preferences and magnitude of difference, clarifying quotes (qualitative) map to themes like trust and privacy, and adaptation asks (actionable) become acceptance criteria for the adapted product.

What limitations to record in your synthesis: document small sample size, recruitment approach, and data type so readers can judge transferability.

The study had a small sample (n=22) with convenience recruitment, demographic skew (older providers, majority women), and field notes rather than verbatim transcripts, which limits nuance and should be explicitly recorded to guide pilot design and further sampling.

Evidano is an AI-powered qualitative data analysis platform that ingests session notes, ranking spreadsheets, and one-page intervention summaries and auto-extracts theme frequencies, co-occurrence (for example, 'peer' + 'trust'), and segment comparisons (providers vs PLWH).

Evidano can process flip-chart notes and de-identified ranking sheets to produce reproducible theme lists and co-occurrence matrices for product and program teams.

Reproducible ranking and consensus trail: upload ranking sheets and let Evidano generate aggregated score tables and visualizations to show how format preference shifted between groups and across the joint session.

These outputs are useful for funder reports and IRB submissions because they show the audit trail from raw ranks to final priorities.

Rapid adaptation spec: Evidano produces a working adaptation checklist and extracts illustrative anonymized quotes for product design and training curricula.

The platform can export a prioritized checklist (peer educator role, legal content modules, session sequencing) and slide-ready summaries for implementation teams.

Transcription and translation features: Evidano supports custom dictionaries and PII redaction for transcription and translation workflows when interviews are collected in Georgian or minority languages.

These features help maintain consistency across multilingual datasets and reduce manual cleaning time.

Security and compliance: Evidano stores customer data encrypted and uses proprietary LLMs tuned for qualitative research; customer data is not used to train third-party models.

These controls are important when handling sensitive HIV-related records and when platforms must meet funder and IRB expectations.

Answer: Aggregate rank scores and supplement with frequency counts and illustrative quotes to compare small NGT groups.

Report limitations and triangulate with other data where possible; the Georgia study used de-identified ranking scores and descriptive comparisons rather than formal significance testing.

Answer: Digital tools cannot always replace session-based support because many people living with HIV prioritized individual, trust-based contact early on.

Consider hybrid solutions, such as initial one-on-one support plus a digital follow-up module for scalability, reflecting the divergence observed between providers and PLWH in the study.

Answer: It can be safe if the platform uses end-to-end encryption and clear model-use policies and does not share customer data to train third-party models.

The Georgia study recommends ensuring encrypted storage and strict model-use and data-sharing policies when handling sensitive HIV-related records.