Failure of User Fees
Bibliographic record
Abstract
The end of health care user fees is within sight for an increasing number of African countries whom this policy was imposed upon in the late 1980 and early 1990s. User fees were part of structural adjustment programs (SAPs) dictated to developing countries by the World Bank, influenced by the Bamako Initiative. The West African country of Mali is presently working towards eliminating user fees and implementing Universal Health Care (UHC). This paper investigates health indicators of pregnant women in Mali during user fee implementation to show the negative impact of the policy, and extrapolates to future outcomes when UHC is available. For example, when user fees were removed in pilot projects, Caesarean costs decreased from 95-136 $USD to 0.80-10 $USD, and Caesarean rates increased by a factor of 2.5. As well, with user fees, Malian citizens had to pay an average of 2 months of salary per health care visit, severely limiting those who could access services. These numbers show that vulnerable individuals in Mali, such as expecting mothers, likely experience unmet need for healthcare services in Mali, and the current user fees system is insufficient and inequitable.
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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 | 0.014 | 0.077 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".