Researchers and policy teams face long, multilingual interview datasets that must be synthesised across stakeholders. The PLOS study published 20 July 2026 (n=30 interviews; Chiang Mai, Apr–Sep 2025) maps how service users, carers, and healthcare professionals in Thailand conceive of recovery and the system-level barriers they face. This post shows how to perform a reproducible qualitative analysis of recovery from that study, and how an AI-enabled platform can cut coding, translation, and cross-segment comparison time while keeping sensitive data secure. Read on to get a replication-ready workflow, role-based implications, and a 7-step plan to reproduce these findings faster with AI-enabled tools.
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- qualitative analysis recovery
- Thailand recovery study
- multilingual transcription
- reflexive thematic analysis
- Evidano
Run this analysis on your own data
Evidano codes documents, interviews, survey responses and spreadsheets with AI, with your judgment in control at every step — and a free plan that doesn't expire.
Keep reading
- Commentary on NewsQualitative Analysis of SLP Job ReadinessTurn PLOS One (Jul 21, 2026) SLP focus-group findings into reproducible thematic evidence with AI transcription, translation, coding, and secure audit trails.
- Commentary on NewsQualitative analysis of recovery in ThailandPLOS qualitative study of mental health recovery in Chiang Mai (30 interviews, Apr–Sep 2025; published 20 Jul 2026) and a 7-step guide to bilingual AI-assisted analysis.
- Commentary on NewsFaster Qualitative Analysis of Mental Health RecoveryAI-enabled qualitative analysis of mental health recovery: 7-step workflow from a Thai PLOS study (n=30). Transcribe, translate, auto-code, export visuals.
