Why are IPTp coverage targets so elusive in sub-Saharan Africa? A systematic review of health system barriers
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
BACKGROUND: Use of intermittent preventive treatment (IPTp) is a proven cost-effective intervention for preventing malaria in pregnancy. However, despite the roll-out of IPTp policies across Africa more than ten years ago, utilization levels remain low. This review sought to consolidate scattered evidence as to the health system barriers for IPTp coverage in the continent. METHODS AND FINDINGS: Relevant literature from Africa was systematically searched, reviewed and synthesized. Only studies containing primary data were considered. Studies reveal that: (i) poor leadership and governance contribute to slow decentralization of programme management, lack of harmonized guidelines, poor accountability mechanisms, such as robust monitoring and evaluation systems; (ii) low budgetary allocation towards policy implementation slows scale-up, while out-of-pocket expenditure deters women from seeking antenatal services that include IPTp; (iii) there are rampant human resource challenges including low staff motivation levels attributed to such factors as incorrect knowledge of IPTp recommendations and inadequate staffing; (iv) implementation of IPTp policies is hampered by prevailing service delivery barriers, such as long waiting time, long distances to health facilities and poor service provider/client relations; and (v) drug stock-outs and poor management of information and supply chains impair sustained availability of drugs for IPTp. CONCLUSIONS: For successful IPTp policy implementation, it is imperative that malaria control programmes target health system barriers that result in low coverage and hence programme ineffectiveness.
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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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