Health policy mapping and system gaps impeding the implementation of reproductive, maternal, neonatal, child, and adolescent health programs in South Sudan: a scoping review
Bibliographic record
Abstract
BACKGROUND: Pregnant women, neonates, children, and adolescents are at higher risk of dying in fragile and conflict-affected settings. Strengthening the healthcare system is a key strategy for the implementation of effective policies and ultimately the improvement of health outcomes. South Sudan is a fragile country that faces challenges in implementing its reproductive, maternal, neonatal, child, and adolescent health (RMNCAH) policies. In this paper, we map the key RMNCAH policies and describe the current status of the WHO health system building blocks that impede the implementation of RMNCAH policies in South Sudan. METHODS: = 8) with staff from the national Ministry of Health (MoH) and implementing partners. We organized a workshop to discuss and validate the findings with the MoH and implementing partner staff. We synthesized and analyzed the data according to the WHO health system building blocks. RESULTS: The significant number of policies and healthcare strategic plans focused on pregnant women, neonates, children, and adolescents evidence the political will of the MoH to improve the health of members of these categories of the population. The gap in the implementation of policies is mainly due to the weaknesses identified in different health system building blocks. A critical shortage of human resources across the blocks and levels of the health system, a lack of medicines and supplies, and low national funding are the main identified bottlenecks. The upstream factors explaining these bottlenecks are the 2012 suspension of oil production, ongoing conflict, weak governance, a lack of accountability, and a low human resource capacity. The combined effects of all these factors have led to poor-quality provision and thus a low use of RMNCAH services. CONCLUSION: The implementation of RMNCAH policies should be accomplished through innovative and challenging approaches to building the capacities of the MoH, establishing governance and accountability mechanisms, and increasing the health budget of the national government.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".