Evidence map›Paper›PMID 33904699›Full record

ArticleInternational journal of health policy and management2021

Cost-Effectiveness of Interventions to Improve Maternal, Newborn and Child Health Outcomes: A WHO-CHOICE Analysis for Eastern Sub-Saharan Africa and South-East Asia.

Karin Stenberg, Rory Watts, Melanie Y Bertram, Kaia Engesveen, Blerta Maliqi, Lale Say, Raymond Hutubessy

Open access · diamondAbstract read
In one paragraph

Article in International journal of health policy and management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  17. International Newborn Screening: Where Are We in Saudi Arabia?Journal of epidemiology and global health · 2024
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  18. Quantifying the Cost ofOpen forum infectious diseases · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Karin StenbergDepartment of Health Systems Governance and Financing, World Health Organization (WHO), Geneva, Switzerland.ORCID 0000-0002-5422-1752
Rory WattsSchool of Population and Global Health, The University of Western Australia, Crawley, WA, Australia.
Melanie Y BertramDepartment of Health Systems Governance and Financing, World Health Organization (WHO), Geneva, Switzerland.ORCID 0000-0002-7641-8943
Kaia EngesveenDepartment of Nutrition for Health and Development, World Health Organization (WHO), Geneva, Switzerland.
Blerta MaliqiDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization (WHO), Geneva, Switzerland.
Lale SayDepartment of Sexual and Reproductive Health and Research, World Health Organization (WHO), Geneva, Switzerland.
Raymond HutubessyDepartment of Immunization, Vaccines and Biologicals (IVB), World Health Organization (WHO), Geneva, Switzerland.
World Health Organization · CHThe University of Western Australia · AU

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundInformation on cost-effectiveness allows policy-makers to evaluate if they are using currently available resources effectively and efficiently. Our objective is to examine the cost-effectiveness of health interventions to improve maternal, newborn and child health (MNCH) outcomes, to provide global evidence relative to the context of two geographic regions.

methodsWe consider interventions across the life course from adolescence to pregnancy and for children up to 5 years old. Interventions included are those that fall within the areas of immunization, child healthcare, nutrition, reproductive health, and maternal/newborn health, and for which it is possible to model impact on MNCH mortality outcomes using the Lives Saved Tool (LiST). Generalized cost-effectiveness analysis (GCEA) was used to derive average cost-effectiveness ratios (ACERs) for individual interventions and combinations (packages). Costs were assessed from the health system perspective and reported in international dollars. Health outcomes were estimated and reported as the gain in healthy life years (HLYs) due to the specific intervention or combination. The model was run for 2 regions: Eastern sub-Saharan Africa (SSA-E) and South-East Asia (SEA).

resultsThe World Health Organization (WHO) recommended interventions to improve MNCH are generally considered cost-effective, with the majority of interventions demonstrating ACERs below I$100/HLY saved in the chosen settings (low-and middle-income countries [LMICs]). Best performing interventions are consistent across the two regions, and include family planning, neonatal resuscitation, management of pneumonia and neonatal infection, vitamin A supplementation, and measles vaccine. ACERs below I$100 can be found across all delivery platforms, from community to hospital level. The combination of interventions into packages (such as antenatal care) produces favorable ACERs.

conclusionWithin each region there are interventions which represent very good value for money. There are opportunities to gear investments towards high-impact interventions and packages for MNCH outcomes. Cost-effectiveness tools can be used at national level to inform investment cases and overall priority setting processes.

Indexed as

Child HealthResuscitationAfrica South of the SaharaAsia, EasternChildCost-Benefit AnalysisFemaleHumansInfant, NewbornPregnancyWorld Health OrganizationChild healthCost-EffectivenessMaternal HealthSouth-East AsiaSub-Saharan Africa

Identifiers

PMID33904699
PMCPMC9278381
OpenAlexW3155123658

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.