Beyond Core Duties: A Framework for Reimagining Community Health Worker Contributions to Health Systems
Bibliographic record
Abstract
Abstract Community Health Workers (CHWs) are essential to global health systems, yet existing research predominately focuses on their core responsibilities, such as maternal and child health, without accounting for the full scope of their labor. This study examines the overlooked dimensions of CHW work through an ethnographic case study of Accredited Social Health Activists (ASHAs) in urban India. Drawing on three months of participant observation and 25 in-depth interviews with ASHAs and health system stakeholders across two sites in Punjab, we identified three interrelated workstreams that define ASHA labor: core duties, secondary responsibilities, and supplementary engagements. Core duties are formally mandated health services implemented through health-related offices. Secondary responsibilities – such as election duties – are often imposed on ASHAs by the health system, but are driven by priorities of non-health ministries. Supplementary engagements involve paid or unpaid work with non-governmental organizations and private actors. Together, these workstreams reveal the extent to which ASHAs are relied upon to fill systemic gaps in under-resourced public systems. These crucial overlapping roles frequently stretch ASHAs beyond their capacity, affecting their ability to deliver on core maternal and child health responsibilities and exposing them to exploitative or informal labor arrangements. Our findings underscore the inadequacy of current frameworks that fail to capture the full complexity of CHW roles. We propose a new conceptual framework to analyze CHW labor holistically, grounded in their personal experiences and the institutional constraints that they face. This framework lays the groundwork for rethinking CHW labor across global contexts, guiding research, policy, and practice aimed at ensuring fair compensation, clearer role delineation, and stronger systemic support for CHWs and for more equitable health systems.
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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 | 0.027 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.014 | 0.082 |
| Scholarly communication | 0.019 | 0.024 |
| Open science | 0.007 | 0.016 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".