Development and Evaluation of the Online Addiction Medicine Certificate: Free Novel Program in a Canadian Setting
Bibliographic record
Abstract
BACKGROUND: Despite the enormous bur-den of disease attributable to drug and alcohol addiction, there remain major challenges in implementing evi-dence-based addiction care and treatment modalities. This is partly because of a persistent lack of accessible, specialized training in addiction medicine. In response, a new online certificate in addiction medicine has been established in Vancouver, Canada, free of charge to participants globally. OBJECTIVE: The objective of this study was to evaluate and examine changes in knowledge acquisition among health care professionals before and after the completion of an online certificate in addiction medicine. METHODS: Learners enrolled in a 17-module certificate program and completed pre- and postknowledge tests using online multiple-choice questionnaires. Knowledge acquisition was then evaluated using a repeated measures t test of mean test scores before and after the online course. Following the certificate completion, a subset of learners completed the online course evaluation form. RESULTS: Of the total 6985 participants who registered for the online course between May 15, 2017 and February 22, 2018, 3466 (49.62%) completed the online pretest questionnaire. A total of 1010 participants completed the full course, achieving the required 70% scores. TThe participants self-reported working in a broad range of health-related fields, including nursing (n=371), medicine (n=92), counseling or social work (n=69), community health (n=44), and pharmacy (n=34). The median graduation year was 2010 (n=363, interquartile range 2002-2015). Knowledge of the addiction medicine increased significantly postcertificate (mean difference 28.21; 95% CI 27.32 to 29.10; P<.001). Physicians scored significantly higher on the pretest than any other health discipline, whereas the greatest improvement in scores was seen in the counseling professions and community outreach. CONCLUSIONS: This free, online, open-access certificate in addiction medicine appeared to improve knowledge of learners from a variety of disciplines and backgrounds. Scaling up low threshold learning opportunities may further advance addiction medicine training, thereby helping to narrow the evidence-to-practice gap.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".