Strengthening primary health care through community health workers in South Asia
Bibliographic record
Abstract
The growing health challenges in South Asia require further adaptations of community health worker (CHW) programs as a key element of primary health care (PHC). This paper provides a comparative analysis of CHW programs in five countries (Bangladesh, India, Nepal, Pakistan, and Sri Lanka), examines successes and challenges, and suggests reforms to better ensure highly performing CHW programs. To examine CHW programs in the region, we conducted a narrative review of the peer-reviewed and grey literatures, as well as eliciting opinions from experts. Common roles of CHWs include health education, community mobilization, and community-based services, particularly related to reproductive, maternal, neonatal, and child health. Some countries utilize CHWs for non-communicable diseases and other emerging health issues. To maximize the potential contribution of CHWs to achieving Universal Health Coverage, we recommend future research and policy focus on strengthening existing health systems to support the expansion of CHWs roles and better integrating of CHWs into national PHC systems. This is Paper 4 in the Series on Primary Health Care in South Asia, addressing areas that have the potential to revitalize health systems in South Asian countries. Funding: The authors received financial support from the Department of Health Systems Development, WHO South-East Asia Regional Office (WHO SEAR).
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.007 |
| 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".