A Performance-Based Incentives System for Village Health Workers in Kisoro, Uganda
Bibliographic record
Abstract
BACKGROUND: Village health worker (VHW) programs in Uganda have achieved limited success, due in part to a reliance on volunteerism and a lack of standardized incentive mechanisms. However, how to best incentivize VHWs remains unclear. Doctors for Global Health developed a performance-based incentives (PBI) system to pay its VHWs in Kisoro, Uganda, based on performance of tasks or achievement of targets. OBJECTIVES: 1. To describe the development of a PBI system used to compensate VHWs. 2. To report cost and health services delivery outcomes under a PBI system. 3. To provide qualitative analysis on the successes and challenges of PBI. METHODS: Internal organization records from May 2016 to April 2017 were retrospectively reviewed. The results of descriptive and analytic statistics were reported. Qualitative analysis was performed by the authors. FINDINGS: In one year, 42 VHWs performed 23,703 remunerable health actions, such as providing care of minor ailments and chronic disease. VHWs earned on average $237. The total cost to maintain the program was $29,844, or $0.72 per villager. There was 0% VHW attrition. Strengths of PBI included flexibility, accountability, higher VHW earnings, and improved monitoring and evaluation. CONCLUSIONS: PBI is a feasible and sustainable model of compensating VHWs. At a time where VHW programs are sorely needed to address limitations in healthcare resources, yet are facing challenges with workforce compensation, PBI may serve as a model for others in Uganda and around the world.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".