Scoping review of physical rehabilitation interventions in long-term care: protocol for tools, models of delivery, outcomes and quality indicators
Bibliographic record
Abstract
INTRODUCTION: A growing number of medically complex older adults reside in long-term care (LTC) and often require physical rehabilitation (PR). While PR is effective at maintaining or improving a patient's physical function, the breadth of PR interventions evaluated in LTC, which outcomes or quality indicators (QI) can be used to evaluate PR, and what tools or models can be used to determine eligibility for PR services remain unknown. METHODS AND ANALYSIS: A scoping review will be conducted to address the following research questions: (1) What types of PR have been evaluated for efficacy or effectiveness in LTC? (2) Which outcomes or QIs have been used when evaluating PR interventions in LTC, and how can this inform evaluation of PR using existing QIs in the Canadian context? (3) What tools or models exist or have been validated for decision-making in the allocation of PR resources in LTC? We will conduct a comprehensive literature search in MEDLINE, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, Physiotherapy Evidence Database (PEDro) and Occupational Therapy Systematic Evaluation of Evidence database (OTseeker) and a structured grey literature search. Two team members will screen articles and abstract the data. The results will be displayed according to the research question they address. Data abstracted regarding outcomes and QIs will be mapped onto existing, publicly reported QIs used in Ontario, Canada. ETHICS AND DISSEMINATION: The scoping review will synthesise the characteristics of PR interventions described in the literature, the outcomes used to evaluate them and tools to determine eligibility for services. The review will be the first step in formally identifying what outcomes and QIs have been used to evaluate PR in LTC, and will be used to inform a stakeholder consensus process exploring the same question. The scoping review may also identify knowledge gaps. The results will be disseminated via publication and presentation at conferences, in addition to a 1-day stakeholder meeting.
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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 | 0.185 | 0.194 |
| Meta-epidemiology (narrow) | 0.008 | 0.006 |
| Meta-epidemiology (broad) | 0.018 | 0.021 |
| Bibliometrics | 0.023 | 0.029 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.058 | 0.013 |
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".