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Better Care: Qualitative Analysis in Physical Therapy

Evidano8 min read

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.

Key Takeaways

According to the November 13, 2026 PLoS One study, Dutch-Flemish PROMIS CATs were generally feasible, acceptable, and useful for monitoring symptoms and functioning in primary care physical therapy, but implementation remained limited by legacy questionnaires, interpretation challenges, and digital workflow barriers.

The study demonstrates why qualitative analysis in physical therapy matters: interview themes explained why survey results showed strong clinician interest but inconsistent routine use.

  • The November 2026 study covered 14 physical therapy practices, with 25 therapists completing a survey and 10 therapists plus 9 patients participating in interviews.
  • In the May 2 to June 20, 2022 survey, 80% of therapists expressed interest in using PROMIS CATs, but only 28% reported regular daily use.
  • In the 2022 survey, 100% of therapists found PROMIS CATs easy to administer, while only 40% believed the CATs took little time.
  • PROMIS CATs administered between March 2021 and January 2023 used a minimum of 4 items and a maximum of 12 items, stopping earlier when the precision threshold was reached.
  • The study authors concluded in November 2026 that wider adoption requires replacing legacy PROMs, improving score-interpretation training, supporting reimbursement, and embedding PROMIS in clinical guidelines.

How the PROMIS CAT Physical Therapy Study Worked

The 2026 PLoS One study used a concurrent mixed-methods design to assess acceptability, demand, practicality, and implementation in routine primary care physical therapy.

The researchers integrated Dutch-Flemish PROMIS CATs into electronic health records across 14 practices in the Netherlands. The CATs selected subsequent questions based on each patient's previous answer, with a minimum of 4 and maximum of 12 completed items and a target reliability of approximately 0.95.

The quantitative component was an online survey completed by 25 physical therapists between May 2 and June 20, 2022. The qualitative component consisted of semi-structured interviews with 10 therapists and 9 patients conducted between March 21 and November 23, 2022. The researchers analyzed the interview transcripts using hybrid inductive-deductive thematic analysis.

Two researchers independently performed open coding, compared codes in consensus meetings, and used a third researcher to resolve disagreements when necessary. The researchers then mapped inductively developed themes onto Bowen's feasibility domains.

The study identified a central implementation tension: therapists generally preferred PROMIS CATs to legacy measures, but they did not want to administer PROMIS CATs in addition to mandatory questionnaires. One therapist summarized the issue as, "If the CAT can replace NPRS, PSFS, and Quebec while giving the same information, that’s a win-win" (PT#6).

The study also showed why patient and clinician perspectives should be analyzed separately. Only 24% of surveyed therapists believed patients were satisfied with PROMIS CATs, while interviewed patients generally described the CATs as quick, simple, and relevant.

PROMIS CAT Findings Snapshot for Physical Therapy

Date or study periodMetricValueImplication
November 13, 2026Study publicationPLoS One, 21(11), article e0362652Provides peer-reviewed evidence about PROMIS CAT feasibility in primary care physical therapy.
Study period, 2021 to 2023Participating practices14 physical therapy practices in the NetherlandsThe findings reflect routine-care implementation across multiple sites.
May 2 to June 20, 2022Therapists completing the survey25 therapistsThe survey captured clinician perceptions of acceptability, demand, practicality, and implementation.
March 21 to November 23, 2022Qualitative interviews10 therapists and 9 patientsInterviews added explanations and patient perspectives that survey percentages could not provide.
2022 surveyTherapists interested in using PROMIS CATs80%Demand was high even though routine adoption was limited.
2022 surveyTherapists reporting regular daily use28%Interest did not translate into consistent implementation.
2022 surveyTherapists finding CATs easy to administer100%The CAT interface was generally practical for clinicians.
2022 surveyTherapists believing CATs took little time40%Workflow burden remained a concern, especially when legacy PROMs were used simultaneously.

What Qualitative Analysis Adds for Physical Therapy Researchers

Qualitative analysis adds the reasons behind PROMIS CAT adoption patterns, which the 2026 PLoS One study demonstrated by comparing survey percentages with interview themes.

The study found that visual feedback supported discussions about progress, but therapists worried that labels such as "severe" or red color coding could alarm patients. One therapist said, "Using words like ‘severe’ might unintentionally worry patients or make the problem feel bigger" (PT#7).

The study found that patients were more willing to complete PROMs when clinicians explained the purpose and discussed the results. A patient said, "Answering the questions made me reflect on my symptoms and what I want help with" (Patient#5).

The study also identified content and usability concerns that frequency counts alone could miss. Some participants found upper-extremity items repetitive or insufficiently specific, while patients wanted access to individual item responses and the ability to review answers before submission.

  • For implementation researchers, code interviews around acceptability, demand, practicality, and implementation so findings connect directly to adoption decisions.
  • For clinical teams, compare clinician perceptions with patient accounts because the 2026 study found a divergence between therapist estimates of patient satisfaction and interviewed patient experiences.
  • For survey designers, treat open-ended comments and interviews as evidence about questionnaire burden, portal friction, item relevance, and interpretation.
  • For healthcare leaders, use cross-segment analysis to distinguish barriers caused by the CAT itself from barriers caused by legacy PROMs, reimbursement, training, or electronic health record workflows.

How Evidano Supports AI Qualitative Analysis in Healthcare

Problem: Interview transcripts take too long to compare

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and healthcare documents.

Evidano can ingest interview transcripts and research papers, organize recurring themes, and support thematic, content, frequency, and cross-segment analyses. Researchers can use these capabilities to compare therapist and patient perspectives while retaining the original source material for review.

Teams evaluating PROMIS CATs can use Evidano to identify themes such as questionnaire burden, score interpretation, portal problems, item relevance, and clinical usefulness across multiple interviews.

Problem: Clinician and patient perspectives appear to conflict

Evidano can support cross-segment analysis by comparing coded themes across participant groups, such as physical therapists versus patients or high versus low digital-confidence respondents.

This workflow helps researchers investigate whether an apparent disagreement reflects genuinely different experiences, different questions, or a difference between perceived and reported satisfaction.

Problem: Sensitive healthcare interviews require careful handling

The 2026 PLoS One study restricted public access to interview data because the transcripts contained sensitive patient information, making privacy a central research concern.

Evidano supports transcription with PII redaction and provides encrypted data handling; data is never used to train third-party models. Researchers can review Evidano's data security information when evaluating an AI workflow for sensitive qualitative research.

Problem: Researchers need a defensible path from codes to findings

Evidano can help researchers move from transcript-level evidence to hierarchical codes, subcodes, frequency patterns, and visual relationships without treating automated output as a substitute for research judgment.

Researchers can use AI-generated summaries as a first-pass synthesis, then validate themes against quotations, sampling decisions, analytic memos, and the study framework. The Evidano features overview explains the platform's analysis and document-interaction capabilities.

FAQ: Qualitative Analysis in Physical Therapy

What did the 2026 PROMIS CAT study find about physical therapy feasibility?

The 2026 PLoS One study found that PROMIS CATs were generally feasible, acceptable, and clinically useful in primary care physical therapy.

The study included 14 practices, 25 surveyed therapists, and interviews with 10 therapists and 9 patients. The main barriers were simultaneous use of legacy PROMs, uncertainty about score interpretation, portal problems, and limited organizational embedding.

Why is qualitative analysis important in physical therapy research?

Qualitative analysis explains why patients and clinicians accept, reject, or adapt a physical therapy intervention.

In the 2026 study, thematic analysis explained why 80% of therapists expressed interest in PROMIS CATs while only 28% reported regular daily use.

How were interviews analyzed in the PROMIS CAT study?

The researchers used hybrid inductive-deductive thematic analysis of semi-structured interview transcripts.

Two researchers independently open-coded transcripts, reconciled differences through consensus meetings, and mapped the resulting themes onto Bowen's feasibility domains.

Can AI replace human thematic analysis in healthcare research?

AI can accelerate transcript organization, coding support, comparison, and synthesis, but AI should not replace human interpretation, ethical oversight, or methodological review.

Researchers should validate AI-assisted themes against source quotations, participant context, sampling limitations, and the study's analytic framework, especially when interviews contain sensitive health information.

What should physical therapy teams improve before adopting PROMIS CATs?

Physical therapy teams should reduce duplicate questionnaires, train clinicians to interpret scores, improve digital workflows, secure reimbursement, and embed PROMIS measures in clinical guidance.

The November 2026 PLoS One study also recommends evaluating additional domains and giving clinicians and patients useful access to item-level information.

Conclusion and Next Steps for AI Qualitative Research

The 2026 PROMIS CAT feasibility study shows that qualitative analysis can reveal the operational conditions behind successful patient-reported outcome measurement. The strongest opportunity is not simply to collect more scores, but to connect patient experience, clinician interpretation, questionnaire design, and workflow evidence in one analysis. AI-enabled tools can make that synthesis faster while preserving a researcher-led validation process for sensitive healthcare data. Teams studying PROMIS CATs, rehabilitation services, or patient-reported outcomes can Try Evidano for free to organize transcripts, compare participant groups, and develop evidence-grounded themes.

Topics

  • 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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