Evaluating a diabetes self‐management support peer leader training programme for the English‐ and Punjabi‐speaking South‐Asian community in Vancouver
Bibliographic record
Abstract
AIMS: The purpose of this single-cohort study was to implement and evaluate a programme that trains peers to deliver a diabetes self-management support programme for South-Asian adults with Type 2 diabetes and to assess the perceived efficacy of and satisfaction with this programme. METHODS: We recruited eight South-Asian adults who completed a 20-h peer-leader training programme conducted over five sessions (4 h per session). The programme used multiple instructional methods (quizzes, group brainstorming, skill building, group sharing, role-play and facilitation simulation) and provided communication, facilitation, and behaviour change skills training. To graduate, participants were required to achieve the pre-established competency criteria in four training domains: active listening, empowerment-based facilitation, five-step behavioural goal-setting, and self-efficacy. Participants were given three attempts to pass each competency domain. RESULTS: On the first attempt six (75%), eight (100%), five (63%) and five (63%) participants passed active listening, empowerment-based facilitation, five-step behavioural goal-setting, and self-efficacy, respectively. Those participants who did not pass a competency domain on the first attempt were successful in passing on the second attempt. As a result, all eight participants graduated from the training programme and became peer leaders. Satisfaction ratings for programme length, balance between content and skills development, and preparation for leading support activities were uniformly high. Ratings for the instructional methods ranged between effective and very effective. CONCLUSION: Findings suggest it is feasible to train and graduate peer leaders with the necessary skills to facilitate a diabetes self-management support intervention.
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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 | 0.004 | 0.002 |
| 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".