Progress towards universal coverage: the health systems of Ghana, South Africa and Tanzania
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
A desire to enhance protection against health care costs and improve equity of access to health care lies at the core of many health sector financing initiatives. Until recently, international debates about financing and health equity have focused primarily on mechanisms to promote equity in relation to very specific elements of health systems. However, in recent years there has been growing interest in considering these equity challenges from a more systemic perspective. In this context, universal health coverage is becoming a rallying call, with a focus on how best universal coverage can be financed. This paper is the first in a special issue which presents a body of research whose overall aim was to critically evaluate existing inequities in health care financing and provision in Ghana, South Africa and Tanzania, and the extent to which health insurance mechanisms (broadly defined) could address financial protection and equity of access challenges. In this first paper we introduce the countries' health systems, with a special emphasis on existing mechanisms for financial protection. We also identify in broad terms the key challenges for universal coverage, setting the scene for the subsequent papers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 it