Exploring the literature on racism and health practitioner regulation: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Racism in healthcare leads to significant harm to healthcare professionals and the clients, families and communities they serve. Increasingly, health practitioner regulators-responsible for protecting the public and ensuring practitioner competence-are recognising the importance of reforming policies and practices to contribute to antiracist regulatory approaches. Examples of this work include developing specific standards of practice related to antiracism and antidiscrimination, supporting education and training, re-evaluating discriminatory licensure policies for internationally educated professionals and reforming internal governance structures to address unconscious bias. An understanding of the current state of literature can help identify knowledge gaps and inform the development of research agendas that can build the evidence base required to improve health practitioner regulators' approaches to addressing racism.The objective of this scoping review is to explore the nature, extent and range of literature focused on racism and health practitioner regulation and identify gaps in the literature. METHODS AND ANALYSIS: The review will be conducted in accordance with the Joanna Briggs Institute guidelines for scoping reviews. Database searches will include OVID MEDLINE, EMBASE, CINAHL, Scopus and Web of Science Core Collection. The review will include papers that discuss how health practitioner regulation can contribute to and perpetuate interpersonal and institutional racism, and how regulatory policies and practices can help address racism. We will also search for grey literature using the websites of leading regulatory organisations. Data will be analysed using descriptive statistics and conventional content analysis. Findings will be presented using evidence tables and a narrative summary. Reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. ETHICS AND DISSEMINATION: Ethics approval is not applicable to this review protocol. Findings will be disseminated through presentations, meetings with health practitioner regulators and a publication in a peer-reviewed journal.
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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 | 0.158 | 0.143 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.013 | 0.012 |
| Bibliometrics | 0.033 | 0.023 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.063 | 0.016 |
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".