Characteristics of Asian American, Native Hawaiian, and Pacific Islander Community Health Worker Programs: A Systematic Review
Bibliographic record
Abstract
Community health workers (CHWs) are frontline health workers who often serve socially and linguistically isolated populations, including Asian American, Native Hawaiian, and Pacific Islander (AA and NHPI) communities in the United States (U.S.) and U.S. territories. We conducted a systematic review of the peer-reviewed literature to assess the characteristics of CHW programs for AA and NHPI communities in the U.S. and U.S. territories, generating a total of 75 articles. Articles were coded using eight domains: ethnic group, health topic, geographic location, funding mechanism, type of analysis reported, prevention/management focus, CHW role, and CHW title. Articles describing results of an intervention or program evaluation, or cost-effectiveness analysis were further coded with seven domains: study design, intervention recruitment and delivery site, mode of intervention delivery, outcomes assessed, key findings, and positive impact. Results revealed gaps in the current literature and point towards recommendations for future CHW research, program, and policy efforts.
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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 | 0.008 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.011 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".