The cost of maternal health services in low-income and middle-income countries from a provider’s perspective: a systematic review
Bibliographic record
Abstract
INTRODUCTION: Maternal health services are effective in reducing the morbidity and mortality associated with pregnancy and childbirth. We conducted a systematic review on costs of maternal health services in low-income and middle-income countries from the provider's perspective. METHODS: We searched multiple peer-reviewed databases (including African Journal Online, CINAHL Plus, EconLit, Popline, PubMed, Scopus and Web of Science) and grey literature for relevant articles published from year 2000. Articles meeting our inclusion criteria were selected with quality assessment done using relevant cost-focused criteria of the Consolidated Health Economic Evaluation Reporting Standards checklist. For comparability, disaggregated costs data were inflated to 2019 US$ equivalents. Costs and cost drivers were systematically compared. Where heterogeneity was observed, narrative synthesis was used to summarise findings. RESULTS: Twenty-two studies were included, with most studies costing vaginal and/or caesarean delivery (11 studies), antenatal care (ANC) (9) and postabortion care (PAC) (8). Postnatal care (PNC) has been least costed (2). Studies used different methods for data collection and analysis. Quality of peer-reviewed studies was assessed average to high while all grey literature studies were assessed as low quality. Following inflation, estimated provision cost per service varied (ANC (US$7.24-US$31.42); vaginal delivery (US$14.32-US$278.22); caesarean delivery (US$72.11-US$378.940; PAC (US$97.09-US$1299.21); family planning (FP) (US$0.82-US$5.27); PNC (US$5.04)). These ranges could be explained by intercountry variations, variations in provider type (public/private), facility type (primary/secondary) and care complexity (simple/complicated). Personnel cost was mostly reported as the major driver for provision of ANC, skilled birth attendance and FP. Economies of scale in service provision were reported. CONCLUSION: There is a cost savings case for task-shifting and encouraging women to use lower level facilities for uncomplicated services. Going forward, consensus regarding cost component definitions and methodologies for costing maternal health services will significantly help to improve the usefulness of cost analyses in supporting policymaking towards achieving Universal Health Coverage.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".