Evidence map›Paper›PMID 38770807›Full record

ArticleBMJ global health2024

Increased utilisation and quality: a focus on inequality and a learning health system approach-explaining Nepal's success in reducing maternal and newborn mortality 2000-2020.

Sudha Sharma, Oona Maeve Renee Campbell, William Edward Oswald, Dadhi Adhikari, Punya Paudel, Bibek Lal, Loveday Penn-Kekana

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Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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.

Sudha SharmaPrivate Consultant, Kathmandu, Nepal.
Oona Maeve Renee CampbellInfectious Disease Epidemiology and International Health, London School of Hygiene and Tropical Medicine, London, UK.
William Edward OswaldDepartment of Disease Control, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-5287-2834
Dadhi AdhikariSouth Asian Institute for Policy Analysis and Leadership, Kathmandu, Nepal.
Punya PaudelGovernment of Nepal, Kathmandu, Nepal.
Bibek LalFamily Welfare Division, Government of Nepal Ministry of Health and Population, Kathmandu, Nepal.
Loveday Penn-KekanaInfectious Disease Epidemiology and International Health, London School of Hygiene and Tropical Medicine, London, UK Loveday.Penn-Kekana@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-9758-4529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMaternal mortality in Nepal dropped from 553 to 186 per 100 000 live births during 2000-2017 (66% decline). Neonatal mortality dropped from 40 to 21 per 1000 live births during 2000-2018 (48% decline). Stillbirths dropped from 28 to 18 per 1000 births during 2000-2019 (34% decline). Nepal outperformed other countries in these mortality improvements when adjusted for economic growth, making Nepal a 'success'. Our study describes mechanisms which contributed to these achievements.

methodsA mixed-method case study was used to identify drivers of mortality decline. Methods used included a literature review, key-informant interviews, focus-group discussions, secondary analysis of datasets, and validation workshops.

resultsDespite geographical challenges and periods of political instability, Nepal massively increased the percentage of women delivering in health facilities with skilled birth attendance between 2000 and 2019. Although challenges remain, there was also evidence in improved quality and equity-of-access to antenatal care and childbirth services. The study found policymaking and implementation processes were adaptive, evidence-informed, made use of data and research, and involved participants inside and outside government. There was a consistent focus on reducing inequalities.

conclusionPolicies and programmes Nepal implemented between 2000 and 2020 to improve maternal and newborn health outcomes were not unique. In this paper, we argue that Nepal was able to move rapidly from stage 2 to stage 3 in the mortality transition framework not because of what they did, but how they did it. Despite its achievements, Nepal still faces many challenges in ensuring equal access to quality-care for all women and newborns.

Indexed as

Infant MortalityMaternal Health ServicesMaternal MortalityFemaleHealthcare DisparitiesHealth Services AccessibilityHumansInfantInfant, NewbornNepalPregnancyQuality of Health CareHealth policies and all other topicsHealth policyHealth systems evaluationMaternal health

Identifiers

PMID38770807
PMCPMC11085885

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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.