Ghana’s National Health Insurance Scheme: Insights from Members, Administrators and Health Care Providers
Why this work is in the frame
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Bibliographic record
Abstract
The Ghana National Health Insurance Scheme (NHIS) was established as part of a poverty reduction strategy to make health care more affordable to Ghanaians. It is envisaged that it will eventually replace the existing cash-and-carry system. This paper examines the views of NHIS administrators, members/enrollees, and health care providers on how the Scheme operates in practice. It is part of a larger evaluation project on Ghana's NHIS, sponsored by the Bill and Melinda Gates Foundation and the Global Development Network as part of a two-year global research. We rely primarily on qualitative data from focus group discussion in the Brong Ahafo and the Upper East regions respectively. Our findings suggest that the NHIS has improved access to affordable health care services and prescription drugs to many people in Ghana. However, there are concerns about fraud and corruption that must be addressed if the Scheme is to be financially viable.
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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 | 0.001 | 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 it