A review of the psychotherapeutic ‘common factors’ model and its application in physical therapy: the need to consider general effects in physical therapy practice
Bibliographic record
Abstract
This article explores the common factors model of psychotherapeutic intervention and discusses its relevance for physical therapy practice. The model provides an explanation for why the effects associated with specific technical approaches only minimally explain successful psychotherapy clinical outcomes. It postulates that factors common across diverse interventions (i.e. 'nonspecific' mechanisms) are responsible for a larger component of treatment efficacy. We outline the applicability of the common factors model to physical therapy and provide supportive evidence from evaluation and prognostic research on interventions for conditions seen in musculoskeletal physical therapy practice. The relevancy and consequences of applying the common factors model to physical therapy practice and research are discussed. The continued advance and evolution of the physical therapy profession requires creative and comprehensive analysis of all factors impacting clinical effectiveness. Additional research is needed to more clearly delineate the common factors that are operational in physical therapy practice and to measure their relative impact on clinical outcomes.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".