Determinants and materno-fetal outcomes related to cesarean section delivery in private and public hospitals in low- and middle-income countries: a systematic review and meta-analysis protocol
Bibliographic record
Abstract
BACKGROUND: Despite the well-established morbidity, mortality, long-term effects, and unnecessary extra-cost burden associated with cesarean section delivery (CSD) worldwide, its rate has grown exponentially. This has become a great topical challenge for the international healthcare community and individual countries. Estimated at three times the acceptable rate as defined by the World Health Organization in 1985, the continued upward trend has been fuelled by higher income countries. Some low- and middle-income countries (LMICs) have now taken the lead, and the factors contributing to this situation are poorly understood. The expansion of the private healthcare sector may be playing a significant role. Distinguishing between the public and private hospitals' role is critical in this investigation as it has not yet been approached. This review aims to systematically synthesize knowledge on the determinants of the CSD rate rise in private and public hospitals in LMICs and to investigate materno-fetal and materno-infant outcomes of CSD in perinatal period, between private and public hospitals. METHODS/DESIGN: We will include studies published in English, French, Spanish, and Portuguese since 2000, using any experimental design, including randomized controlled trials (RCTs), non-RCTs, quasi-experimental, before and after studies, and interrupted time series. Outcomes of interest are the determinants of CSD and materno-fetal and materno-infant outcomes. We will only include studies carried out in private and public hospitals in LMICs. The literature searches will be conducted in the following databases: MEDLINE, Embase, CINAHL, Cochrane database, LILACS, and HINARI. We will also include unpublished studies in the gray literature (theses and technical reports). Using the two-person approach, two independent review authors will screen eligible articles, extract data, and assess risk of bias. Disagreements will be resolved through discussion with a third author. Results will be presented as structured summaries of the included studies. If possible, a meta-analysis will be conducted and, subsequently, an analysis for heterogeneity will be implemented. DISCUSSION: The proposed systematic review of the CSD rate rise will provide up-to-date evidence in regard to differences in proportions, determinants, and materno-fetal and materno-infant outcomes in perinatal period, between private and public hospitals in LMICs. We believe that this knowledge synthesis will help to shed light on the evidence and support evidence-informed decision-making with a view to addressing the issue in LMICs. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016036871.
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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 | 0.019 | 0.042 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.030 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".