Performance-based Financing in Africa: Time to Test Measures for Equity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past 15 years, hundreds of millions of dollars have been invested in reforms founded on performance-based financing (PBF) in low- and middle-income countries. While evidence on its effectiveness and efficiency is still controversial, there appears to be an emerging consensus that equity has not been adequately considered. In this article, we show how PBF-type interventions in Africa have not sufficiently taken into account equity of access to care for the worst-off and their financial protection. In reviewing the history of health reforms in Africa, we show that this omission is nothing new. We suggest that strategic purchasing and PBF-type actions would benefit from being implemented in ways that promote equity and the financial protection of populations in Africa. Without such a reorientation of reforms, it will be impossible to achieve universal health coverage by 2030.
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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 | 0.003 | 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 it