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Record W4401784704 · doi:10.2196/58084

Characteristics of Student-Led Clinics in the Allied Health Professions: Protocol for a Scoping Review

2024· review· en· W4401784704 on OpenAlexvenueno aff
Sandra Robertson, Katie Thomson, Katrina Bannigan

Bibliographic record

VenueJMIR Research Protocols · 2024
Typereview
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
FundersGlasgow Caledonian University
KeywordsProtocol (science)Medical educationMedicineAllied health professionsAlternative medicineFamily medicineHealth carePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Student-led clinics can provide students from allied health professions with the opportunity to gain valuable placement experience as an integral component of their preregistration program, enabling them to develop their competencies, professional skills, and administrative and leadership skills. Student-led clinics have the capacity to help meet the demand for appropriate practice-based learning opportunities, as there is an expectation that all allied health professions students should have high-quality learning experiences, ensuring the future workforce is fit for purpose. An overview of existing student-led clinics will increase our understanding of key characteristics, assisting education providers who may be considering the development of their own clinics. This will include key factors to ensure that this model of practice-based learning meets the needs of service users, students, and education providers. OBJECTIVE: This scoping review aims to increase our understanding of the characteristics of student-led clinics by answering the questions (1) what student-led clinics exist in the allied health professions, and (2) what are their characteristics? METHODS: This scoping review has been developed in conjunction with Joanna Briggs Institute methodology. We will consider studies and publications that include student-led clinics as an integral part of the preregistration curriculum for allied health professions students as defined by the Health and Care Professions Council. An extensive search of electronic databases will be conducted, including PubMed, MEDLINE, and CINAHL, among others. Search strategies, including the identified keywords and index terms, will be modified for each included database used. Reference lists of all included evidence will be screened for additional relevant studies. Studies published in English with no date limitations will be included. Relevant sources will be imported into Covidence for screening conducted by 2 reviewers (SR and KB). Data extraction will be conducted by 2 reviewers using a piloted data extraction tool, and data will be charted and tabulated using the Template for Intervention Description and Replication (TIDieR) checklist. Data will be presented with a narrative summary and illustrated by graphs and figures. The scoping review will be reported in conjunction with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping reviews) and the STORIES (Structured Approach to the Reporting In health care education of Evidence Synthesis) statement for health care education evidence synthesis. RESULTS: An initial limited search was conducted in February 2024. The study will be conducted in 2025. Publication of the results is expected in late 2025. CONCLUSIONS: This scoping review will provide key information regarding the characteristics of student-led clinics and will be of interest to preregistration education programs within the allied health professions who have an interest in exploring opportunities to address placement capacity issues. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/58084.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.093
metaresearch head score (Gemma)0.098
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.093
Threshold uncertainty score0.493

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0930.098
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0140.014
Bibliometrics0.0230.020
Science and technology studies0.0050.005
Scholarly communication0.0080.010
Open science0.0050.006
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0480.008

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.

Opus teacher head0.819
GPT teacher head0.788
Teacher spread0.031 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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