Assessing the feasibility of a clinical trial to evaluate an advanced practice physiotherapy model of care in chronic pain management: a feasibility study
Bibliographic record
Abstract
BACKGROUND: Chronic pain management is challenging for health systems worldwide. Clinical practice guidelines recommend interprofessional chronic pain management, but chronic pain clinics often have lengthy wait-lists. Advanced practice physiotherapists (APP) in orthopedic clinics and emergency departments have provided effective care and reduced wait times. The purpose of this study is to determine the feasibility of a clinical trial to evaluate the effects of integrating an APP into a chronic pain clinic setting. The primary objectives are as follows: (1) determine the feasibility of implementing trial methods by evaluating participant recruitment rates, retention, and assessment completion; (2) determine the feasibility of implementing the APP model of care by monitoring care provided and treatment fidelity; and (3) assess contextual factors that may influence implementation of the APP model of care by exploring the perspectives of patient participants and healthcare providers related to the model of care. METHODS: This will be a single-arm feasibility study with embedded qualitative interviews to assess contextual factors influencing implementation by exploring participant and provider perspectives. Approximately 40 adults with chronic musculoskeletal pain referred for care at an interprofessional chronic pain clinic will be invited to participate in the feasibility study. Approximately 10-12 patient participants and 5-10 health professionals from the interprofessional team will be interviewed using an interpretive description approach. The APP model of care will involve participants seeing a physiotherapist as the first point of contact within the interprofessional team. The APP will complete an initial assessment and make care recommendations. Outcome measures planned for the full trial will be reported descriptively, including pain severity, pain interference, health-related quality of life, psychosocial risk factors for chronic pain, treatment satisfaction, perceived change, healthcare utilization, and healthcare costs over one year. DISCUSSION: This study will inform plans to implement a full-scale study to evaluate the impact of an APP model of care in an interprofessional chronic pain management program. The results of the full study are intended to inform stakeholders considering this model to improve patient-centered and health system outcomes in interprofessional pain management program settings. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05336903 (Registered April 5, 2022).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".