Mapping Evidence on Community-Based Clinical Education Models for Undergraduate Physiotherapy Students: Protocol for a Scoping Review
Bibliographic record
Abstract
BACKGROUND: Community-based clinical training has been advocated as an excellent approach to transformation in clinical education. Clinical education for undergraduate physiotherapy students is a hands-on practical experience that aims to provide a student with the skills necessary to enable them to be fit to practice independently. However, in many countries, including South Africa, this training has been conducted only in large urban academic hospitals. Such hospitals are not a true reflection of the environment that these students will most likely be facing as practicing health care professionals. OBJECTIVE: The objective of this scoping review is to map out existing evidence on community-based clinical education models for undergraduate physiotherapy students globally. METHODS: A systematic scoping review will be based on the 2005 Arksey and O'Malley framework. Studies involving students and stakeholders in clinical education will be included. This review will not be limited by time of publication. An electronic search of relevant literature, including peer-reviewed primary studies and grey literature, will be conducted from the PubMed, Google Scholar, Medline, CINAHL, and Cochrane Library databases. The search strategy will include keywords such as "education," "physiotherapy," "undergraduate," "community-based," "training," "decentralized," and "distributed." Boolean logic will be used for each search string. Two independent reviewers will conduct screening of titles, abstracts, and full text before extracting articles. A predesigned data-charting table will supplement the extraction of data. Version 12 NVIVO software will aide in the thematic analysis of data. RESULTS: Data collection will commence after publication of this protocol, and the results are expected to be obtained in the following 5 months. CONCLUSIONS: The evidence obtained from the extracted data is expected to assist in the development of a model of community-based clinical education for undergraduate physiotherapy students in South Africa, and serve as a basis for future research. The discussion of this evidence will be guided by the research question utilizing a critical narrative approach to explore emerging themes. The enablers and barriers identified from the reviewed studies can guide the development of a community-based clinical education model. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/19039.
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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 | 0.114 | 0.119 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.018 | 0.021 |
| Bibliometrics | 0.021 | 0.019 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.071 | 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".