Training Peers to Deliver a Church-Based Diabetes Prevention Program
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to examine the feasibility and acceptability of training peers to function as lifestyle coaches and to deliver a church-based lifestyle modification program. METHODS: We recruited 6 African-American adults to participate in an 8-hour peer lifestyle coach (PLC) training program followed by a subsequent 2-hour booster session. The PLC training program addressed several key areas, including: (1) developing empowerment-based facilitation, active listening, and behavior change skills; (2) learning self-management strategies (eg, reading food labels, counting calories); (3) practicing session delivery; and (4) interpreting clinical lab results. Training evaluation was conducted retrospectively (immediately following the delivery of the diabetes prevention intervention rather than after the 8-hour training session) and measured program satisfaction and efficacy from the perspective of participants. RESULTS: Peer lifestyle coaches' confidence levels for performing core skills (eg, asking open-ended questions, 5-step behavioral goal-setting process) and advanced skills (eg, addressing resistance, discussing sensitive topics) were uniformly high. Similarly, PLCs were very satisfied with the length of training, balance between content and skills development, and preparation for leading group- and individual-based support activities. CONCLUSIONS: Findings suggest that it is feasible to customize a PLC training program that is acceptable to participants and that equips participants with the knowledge and skills to facilitate a church-based diabetes prevention intervention.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".