Being there: protocol for a scoping review of the medical education literature on grief support training for medical professionals
Bibliographic record
Abstract
INTRODUCTION: Medical trainees and professionals do not perceive that they are adequately taught the skills to address issues of grief with their patients. Atypical grief responses can prolong suffering, interrupt normal activities and lead to increased morbidity and mortality. Grief training can help physicians cope with feelings about and responses to suffering, loss and death in a way that improves both physician and patient/family wellness. This scoping review will describe the current landscape of grief training worldwide in medical school and residency and in continuing professional development in the disciplines of paediatrics, family medicine and psychiatry. The ultimate goal is to help physicians support patients experiencing grief. METHODS AND ANALYSIS: The study design has been adapted from Arksey and O'Malley's review methodology. We will work with an information specialist who will run searches in six multidisciplinary databases. To supplement the search, we will scan the reference lists of included studies. Two levels of screening will take place: a title and abstract review for articles that fit predefined criteria and a full-text review of articles that meet those criteria. To be included in the review, articles must report on grief training for medical residents and professionals in the fields of paediatrics, family medicine and psychiatry. Two investigators will review each article and extract data. ETHICS AND DISSEMINATION: Research ethics approval is not required for this review. We plan to share the findings through national and international medical education conferences and to publish the results in a peer-reviewed academic journal. We have the support of several directors of medical education at our institution who are interested in the growing focus on humanism in medical education as a way of decreasing burnout among medical students, residents and faculty.
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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 | 0.111 | 0.110 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.017 | 0.014 |
| Bibliometrics | 0.015 | 0.014 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.118 | 0.027 |
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".