What are the training needs of early career professionals in addiction medicine? A BEME scoping review protocol
Bibliographic record
Abstract
Background: Substance use disorders (SUD) represent a significant social and economic burden globally. Accurate diagnosis and treatment by early career professionals in addiction medicine (ECPAM) fails, in part, due to a lack of training programs targeting this career stage. Prior research has highlighted the need to assess the specific training needs of early career professionals working in this area. Aim: To conduct a scoping review of the literature on the self-reported training needs of ECPAM worldwide. Methods: Medical and education databases will be searched for studies reporting perceived training needs of early career professionals (having completed their training within a five year period at the time of assessment) in addiction medicine. Retrieved citations will be screened and full text articles reviewed for eligibility by two independent reviewers. A third reviewer will arbitrate where there was disagreement. Two reviewers will independently extract data from included studies and conduct a quality appraisal assessment. Importance: Overall, the evidence on the training needs from this review will inform efforts to optimise ECPAM education internationally. Training needs assessment of early career professionals working in the field of addiction medicine is a priority.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".