Evidence map›Paper›PMID 42449284›Full record

ArticleBMC public health2026

Quality of antenatal care and maternal mortality: a mixed-methods study in Purwakarta District, Indonesia.

Sella Zenitasari, Eugenius Phyowai Ganap, Soerjo Hadijono

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

Who cites it

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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

3 authors.

Sella ZenitasariDepartment of Obstetrics and Gynecology, Faculty of Medicine Nursing, and Public Health, Universitas Gadjah Mada, Yogyakarta, Indonesia. sellazenitasari@mail.ugm.ac.id.ORCID http://orcid.org/0009-0005-1330-3355
Eugenius Phyowai GanapDepartment of Obstetrics and Gynecology, Faculty of Medicine Nursing, and Public Health, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID http://orcid.org/0000-0002-2240-399X
Soerjo HadijonoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Diponegoro, Semarang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal health plays a key role in fostering a healthy and high-quality generation within a nation. One indicator of a nation's health status is the maternal and infant mortality rates. Maternal and infant deaths can be prevented through high-quality antenatal care (ANC). In Indonesia, integrated ANC programs have been implemented; however, the number of visits alone is insufficient, and the quality of care is a critical determinant of maternal outcomes. This study aimed to assess the role of antenatal care quality in reducing maternal mortality and to explore underlying factors influencing care quality.

methodsA mixed-methods study using an explanatory sequential design was conducted in a district in West Java, Indonesia. The quantitative method used a case-control design with 90 participants (24 maternal deaths and 66 controls), and analyses were conducted using chi-square tests and logistic regression. The qualitative method involved in-depth interviews with 13 informants to provide contextual explanations for the quantitative findings.

resultsHigh-quality ANC was significantly associated with reduced maternal mortality (p < 0.001; OR = 0.10; 95% CI: 0.001-0.158). Pregnancy complications were strongly associated with maternal mortality (p < 0.001; OR = 145.8; 95% CI: 8.71-251.78). Management was also associated with maternal mortality in the bivariate analysis (p < 0.001; OR = 7.692; 95% CI: 2.360-25.074) but was not significant after multivariate adjustment. Qualitative findings indicated that ANC quality was influenced by healthcare provider competence, facility availability, the effectiveness of the referral system, maternal health programs, and maternal education and family support.

conclusionImproving ANC quality and strengthening the referral system should be prioritized to support efforts to reduce preventable maternal mortality. A comprehensive evaluation within the Maternal and Perinatal Death Surveillance and Response (MPDSR) system is needed to identify root causes and ensure appropriate follow-up.

Indexed as

Maternal MortalityPrenatal CareQuality of Health CareAdultCase-Control StudiesFemaleHumansIndonesiaInterviews as TopicPregnancyQualitative ResearchYoung AdultMaternal and child health service standardsMaternal mortalityQuality of antenatal care

Identifiers

PMID42449284
PMCPMC13647885

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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.