Embedding the Rehabilitation Treatment Specification System into clinical practice: An evaluation of a pilot teaching programme
Bibliographic record
Abstract
Abstract Background: Deficiency in the provision and quality of treatment specification by rehabilitation clinicians impairs the ability to differentiate effective from ineffective elements of treatment. The standardized language of the rehabilitation treatment specification system (RTSS) has been proposed as a countermeasure. To date, there is no evidence of its use in clinical practice and what effect it may have. This study aimed to assess the ability of a pilot teaching programme to embed the RTSS into the clinical practice of an inpatient oncology physiotherapy team. The objectives were to evaluate the teaching programme’s effect on; participants’ familiarity and perceived benefit of the RTSS, its uptake, participants’ clinical reasoning, and their feelings and attitudes towards adopting the RTSS. This study provides an evaluation of the pilot teaching programme which will subsequently inform a larger iteration in an ongoing Health Education England (HEE) project aiming to disseminate and embed the RTSS into physiotherapy practice to improve physiotherapists’ treatment specification. Methods A 6-week, multi-modal RTSS pilot teaching programme based upon socio-constructivist theory was delivered to 10 inpatient oncology physiotherapists at a large urban UK trust in 2021. Self-reported measures and clinical case note audits were assessed before and after the RTSS teaching programme to evaluate its effect on RTSS familiarity and perceived benefit, uptake, and clinical reasoning. A post-teaching focus group was undertaken. It was qualitatively analysed using an inductive, independent thematic approach to evaluate clinicians’ reflection and adoption. Results Ten participants (8F, 29.4(±3.5) years) with variable clinical experience completed the RTSS teaching programme (six 1-hour lecture/case-based-learning sessions weekly) with 85% mean attendance. Nine yielded complete data for analyses, and 7 participated in the focus group. There was significant improvement in self-reported familiarity and confidence using the RTSS. Furthermore, there was a significant effect of the teaching on self-reported clinical reasoning overall and specifically in knowledge and theory application. But this was not reflected in clinicians’ uptake of RTSS language, nor in the quality of clinical reasoning emergent in their case notes. Qualitative analyses revealed that while clinicians’ conceptual understanding and the relative advantage of using the RTSS in practice was pervasive, they articulated that translating its perceived academic disposition into their clinical practice a challenge. Conclusions: The RTSS teaching programme was shown to be effective in improving self-reported measures of clinical reasoning, despite clinical uptake of the RTSS remaining low. Future iterations should be tested across physiotherapy specialisms and in a greater sample with consideration of pedagogical and cultural measures to support the clinical diffusion of the RTSS including longer teaching periods, introducing pre-teaching e-learning approaches, incorporating how to document RTSS language into clinical case-notes, and designing the teaching to influence clinical leaders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".