State Health Officials: Backgrounds and Qualifications
Bibliographic record
Abstract
CONTEXT: State health officials (SHOs), the executive and administrative leaders of state public health, play a key role in policy development, must be versed in the relevant/current evidence, and provide expertise about health issues to the legislature and the governor. OBJECTIVE: To provide an empirical examination of SHO backgrounds and qualifications over time. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional survey of current/former SHOs. MAIN OUTCOME MEASURES: State health official educational backgrounds; public health experience; previous employment setting. RESULTS: Two-thirds of respondents (64.6%) reported having a medical degree, approximately half (48.3%) a formal public health degree, and almost one-quarter (21.8%) a management degree. The majority had governmental public health experience at some prior point in their career (70.0%). Almost two-thirds worked in governmental public health immediately before becoming an SHO. The proportion that was female increased significantly by decade from 5.6% in the 1970s/80s to 46.4% in the 2010s (P = .02). CONCLUSIONS: The main finding from this study shows that more than two-thirds of SHOs have had governmental public health experience at some point in their career. This is not a new trend as there were no statistical differences in public health experience by decade. More than half of the SHOs were appointed to the role directly from governmental public health, indicating that their public health experience is timely and likely germane to their appointment as SHO. Findings also indicate improvements in gender diversity among one of the most influential leadership roles in governmental public health whereas significant changes in racial and ethnic diversity were not identified. Women are increasingly being appointed as SHOs, indicating increasing gender diversity in this influential position. Given that governmental public health employees are predominantly women, there is still room for gender equity improvements in executive leadership roles. This is coupled with the need for further racial and ethnic diversity improvements as well.
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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 | 0.029 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".