Physical therapy researchers and healthcare teams need to understand more than whether a patient-reported outcome measure produces a score. They also need to know whether patients find the questionnaire relevant, whether clinicians can interpret the results, and which workflow barriers affect adoption. Qualitative analysis in physical therapy helps answer those questions by examining interviews, open-text responses, and implementation experiences alongside quantitative measures. A November 2026 mixed-methods study in Dutch primary care physical therapy shows how this approach can clarify the practical value and limitations of PROMIS computerized adaptive tests, or CATs. This article summarizes the study and explains how AI-enabled qualitative research can accelerate thematic analysis without replacing methodological judgment.
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- qualitative analysis in physical therapy
- AI qualitative analysis healthcare
- PROMIS CAT feasibility study
- thematic analysis of patient interviews
- patient-reported outcomes research
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Keep reading
- Commentary on NewsPROMIS CATs: AI Qualitative Analysis in HealthcareSee how AI qualitative analysis in healthcare clarifies PROMIS CAT adoption, patient burden, and workflow barriers for physical therapy teams.
- Commentary on NewsAI Qualitative Analysis in Healthcare: PROMIS CATsLearn how AI qualitative analysis in healthcare can turn PROMIS CAT interviews into actionable insights, using findings from a 2026 physical therapy study.
- Commentary on NewsAI Qualitative Analysis in Healthcare: PROMIS CAT LessonsSee how AI-enabled qualitative analysis in healthcare turns PROMIS CAT interviews into implementation insights, based on a 2026 PLOS One study.
