Task-shifting and prioritization: a situational analysis examining the role and experiences of community health workers in Malawi
Bibliographic record
Abstract
BACKGROUND: As low- and middle-income countries face continued shortages of human resources for health and the double burden of infectious and chronic diseases, there is renewed international interest in the potential for community health workers to assume a growing role in strengthening health systems. A growing list of tasks, some of them complex, is being shifted to community health workers' job descriptions. Health Surveillance Assistants (HSAs) - as the community health worker cadre in Malawi is known - play a vital role in providing essential health services and connecting the community with the formal health care sector. The objective of this study was to understand the performed versus documented roles of the HSAs, to examine how tasks were prioritized, and to understand HSAs' perspectives on their roles and responsibilities. METHODS: A situational analysis of the HSA cadre and its contribution to the delivery of health services in Zomba district, Malawi was conducted. Focus groups and interviews were conducted with 70 HSAs. Observations of three HSAs performing duties and work diaries from five HSAs were collected. Lastly, six policy-maker and seven HSA supervisor interviews and a document review were used to further understand the cadre's role and to triangulate collected data. RESULTS: HSAs performed a variety of tasks in addition to those outlined in the job description resulting in issues of overloading, specialization and competing demands existing in the context of task-shifting and prioritization. Not all HSAs were resistant to the expansion of their role despite role confusion and HSAs feeling they lacked adequate training, remuneration and supervision. HSAs also said that increasing workload was making completing their primary duties challenging. Considerations for policy-makers include the division of roles of HSAs in prevention versus curative care; community versus centre-based activities; and the potential specialization of HSAs. CONCLUSION: This study provides insights into HSAs' perceptions of their work, their expanding role and their willingness to change the scope of their practice. There are clear decision points for policy-makers regarding future direction in policy and planning in order to maximize the cadre's effectiveness in addressing the country's health priorities.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".