User fees, health staff incentives, and service utilization in Kabarole District, Uganda.
Bibliographic record
Abstract
OBJECTIVE: To determine the impact of user fees on the utilization of health services in a community-based cost-sharing scheme in Kabarole District, western Uganda. METHODS: Of the 38 government health units that had introduced user-fee financing schemes, 11 were included in the study. Outpatient utilization was assessed as the median number of visits per month before and after cost sharing began. FINDINGS: After the introduction of cost sharing, overall utilization of general outpatient services, assessed by combining the data from all the participating units, dropped by 21.3%. Utilization increased, however, in facilities located in remote areas, while it decreased in those located in urban or semi-urban areas. The increased utilization in remote facilities was considered to be largely attributable to health workers' incentive payments derived from cost-sharing revenues. CONCLUSIONS: Incentive payments led the health workers to offer improved services. Other factors may also have been influential, such as an improved drug supply to health facilities and increased public identification with community projects in remote areas.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".