This post shows how to run a qualitative analysis of shared decision making (SDM) in pediatric physical therapy and turn focus-group transcripts into actionable implementation strategies. The June 30, 2026 PLOS One study (Limmen et al.) used six focus groups (adolescents, parents, pediatric physical therapists) plus a 46-respondent qualitative survey to adapt a goal-based SDM model and propose CFIR-ERIC matched implementation strategies. If you analyze interviews, transcripts, or surveys for clinical implementation (program managers, UX researchers, policy analysts), you will get: 1) a concise mapping of methods and findings from the study, 2) practical implications for running and comparing segment-level SDM analyses, and 3) a reproducible 7-step workflow to implement the same synthesis inside Evidano (Evidano). Read on to see which Evidano features (transcription with PII redaction, codebook import, thematic and cross-segment analysis, co-occurrence visualizations, and secure data handling) speed the work and preserve research rigor.
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Start freeTopics
- SDM in pediatric physical therapy
- qualitative analysis of SDM
- shared decision making implementation
- Evidano workflow
- CFIR-ERIC implementation strategies
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.
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