ArticleBMJ open2019
Cost of maternal health services in low and middle-income countries: protocol for a systematic review.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- e-income countries from a provider's perspective: a systematic review.BMJ global health · 2020Pooled it
- Review
- A cost description of the setup costs of community-owned maternity waiting homes in rural Zambia.PLOS global public health · 2023Article
- A global study of the association of cesarean rate and the role of socioeconomic status in neonatal mortality rate in the current century.BMC pregnancy and childbirth · 2022Article
- Locus of Control and Self-Esteem as Predictors of Maternal and Child Healthcare Services Utilization in Nigeria.Frontiers in health services · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThere is substantial evidence that maternal health services across the continuum of care are effective in reducing morbidities and mortalities associated with pregnancy and childbirth. There is also consensus regarding the need to invest in the delivery of these services towards the global goal of achieving Universal Health Coverage in low/middle-income countries (LMICs). However, there is limited evidence on the costs of providing these services. This protocol describes the methods and analytical framework to be used in conducting a systematic review of costs of providing maternal health services in LMICs.
methodsAfrican Journal Online, CINAHL Plus, EconLit, Embase, Global Health Archive, Popline, PubMed and Scopus as well as grey literature databases will be searched for relevant articles which report primary cost data for maternal health service in LMICs published from January 2000 to June 2019. This search will be conducted without implementing any language restrictions. Two reviewers will independently search, screen and select articles that meet the inclusion criteria, with disagreements resolved by discussions with a third reviewer. Quality assessment of included articles will be conducted based on cost-focused criteria included in globally recommended checklists for economic evaluations. For comparability, where feasible, cost will be converted to international dollar equivalents using purchasing power parity conversion factors. Costs associated with providing each maternal health services will be systematically compared, using a subgroup analysis. Sensitivity analysis will also be conducted. Where heterogeneity is observed, a narrative synthesis will be used. Population contextual and intervention design characteristics that help achieve cost savings and improve efficiency of maternal health service provision in LMICs will be identified. ETHICS AND DISSEMINATION: Ethical approval is not required for this review. The plan for dissemination is to publish review findings in a peer-reviewed journal and present findings at high-level conferences that engage the most pertinent stakeholders. PROSPERO REGISTRATION NUMBER: CRD42018114124.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.