Preparing a New Generation of Providers in Canada: The Mental Health + Diabetes Training Program
Bibliographic record
Abstract
Diabetes care in Canada is compromised by the lack of resources to adequately address the mental health challenges associated with both type 1 and type 2 diabetes. To address this gap Breakthrough T1D (formerly JDRF) Canada and Diabetes Canada developed a bilingual training program, and associated directory listing successful graduates, to educate and empower existing mental health providers to better provide services to those living with diabetes. This study reports on the development and initial outcomes of this virtual training program. Training involved 6 self-learning modules and a 3-hour interactive session to consolidate knowledge. Over a 24-month period, 796 mental health providers (68.5% English-speaking, 31.5% French-speaking) enrolled in the training program. Over half of enrollees (56.3%) have completed the program to date (N=448) and 37% of completers (N=166) were approved for the Directory. The professions enrolled, spanning the country, included social workers (42.1%), psychologists (33.7%), psychotherapists (10.8%), counsellors (7.0%), mental health nurses (5.5%), and psychiatrists (0.6%). Satisfaction with the program was very high and training was considered very practical. The program is available at no cost on an ongoing basis, and follow-up research will evaluate the feasibility, acceptability, and potential health-related impact of training mental health providers in working with people with diabetes. Au Canada, les soins du diabète sont compromis par le manque de ressources pour répondre adéquatement aux défis de santé mentale associés au diabète de type 1 et de type 2. Pour combler cette lacune, Percée DT1 Canada (anciennement FRDJ) Canada et Diabète Canada ont mis au point un programme de formation bilingue, ainsi qu'un répertoire des diplômés, afin d'éduquer et d'habiliter les dispensateurs de soins en santé mentale existants à mieux servir les personnes vivant avec le diabète. Cet article présente le développement et les premiers résultats de ce programme de formation virtuel. La formation comprenait six modules d'auto-apprentissage et une session interactive de 3 heures pour consolider les connaissances. Sur une période de 24 mois, 796 dispensateurs en santé mentale (68,5 % d'anglophones et 31,5 % de francophones) se sont inscrits au programme de formation. Plus de la moitié des personnes inscrites (56,3 %) ont terminé le programme à ce jour (N = 448) et 37 % des personnes ayant terminé le programme (N = 166) ont été approuvées pour le répertoire. Les professions inscrites, dans tout le pays, comprenaient des travailleurs sociaux (42,1 %), des psychologues (33,7 %), des psychothérapeutes (10,8 %), des conseillers (7 %), des infirmiers en santé mentale (5,5 %) et des psychiatres (0,6 %). La satisfaction à l'égard du programme est très élevée et la formation est considérée comme très pratique. Le programme est disponible gratuitement sur une base continue, et des recherches de suivi évaluera la faisabilité, l'acceptabilité et l'impact potentiel sur la santé de la formation des prestataires de santé mentale au travail avec les personnes atteintes de diabète.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".