Building Professionalism Through Management Training: New England Public Health Training Center's Low-Cost, High-Impact Model
Bibliographic record
Abstract
CONTEXT: Evolving practices, accreditation, and priorities established in Public Health 3.0 are adding to the long-identified need for management training among public health practitioners. PROGRAM: The New England Public Health Training Center is addressing this need with a flexible, open-source, 16-topic training program. The program is designed to build competencies for current and future managers, preparing them for their day-to-day tasks and for the kinds of adaptation suggested by Public Health 3.0 advocates. IMPLEMENTATION: The training program uses live expert instructors for 10 webinars and 2 in-person trainings. Experts have also created the content for multiple self-paced E-Learnings that trainees undertake in addition to the instructor-led sessions. A webinar platform with breakout rooms and an advanced learning management system allows for online discussion and mentor interaction. The course has now been offered, evaluated, and modified 3 times, and the materials are available for noncommercial use by the public health community. EVALUATION: Using the Kirkpatrick training evaluation model, the recent cohort was satisfied (87.5%) with the training, reported identifying actions to apply information learned to their work (85.8%), and experienced statistically significant knowledge gains. Earlier trainees reported work-related behavior change. DISCUSSION: Management training offers the hope of increasing professionalism; creating better, more effective workplaces and programs; and preparing practitioners for an evolving public health landscape. Early results indicate that NEPHTC's program, Managing Effectively in Today's Public Health Environment, is a useful tool in realizing that hope.
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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 | 0.033 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".