Evidence map›Paper›PMID 41468416›Full record

ArticlePloS one2025

Determinants of non-utilization of health facilities for childbirth in Papua New Guinea: Evidence from the demographic and health survey.

McKenzie Maviso, Gracelyn Potjepat, Rebecca Bogarobu Emori, Paula Zebedee Aines, Carolyn Ruth Hastie

Abstract read
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Article in PloS one, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

McKenzie MavisoDivision of Public Health, School of Medicine and Health Sciences, University of Papua New Guinea, Port Moresby, National Capital District, Papua New Guinea.ORCID https://orcid.org/0000-0001-5435-7054
Gracelyn PotjepatDivision of Nursing, School of Medicine and Health Sciences, University of Papua New Guinea, Port Moresby, Papua New Guinea.
Rebecca Bogarobu EmoriSchool of Social Sciences, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Northfields Ave, Wollongong, New South Wales Australia.
Paula Zebedee AinesDivision of Nursing, School of Medicine and Health Sciences, University of Papua New Guinea, Port Moresby, Papua New Guinea.
Carolyn Ruth HastieSchool of Nursing and Midwifery, Griffith University, Logan Campus, University Drive, Meadowbrook, Qld, Australia.ORCID https://orcid.org/0000-0003-2007-0543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth facility-based childbirth services are essential for reducing maternal and neonatal mortality. Yet, these services remain underutilized in many low- and middle-income countries (LMICs), including Papua New Guinea (PNG), where birthing at home or in village settings continue to predominate. This study investigated the determinants of non-utilization of health facilities for childbirth among women in PNG.

methodsData from a weighted sample of 6,432 women using the 2016-2018 PNG Demographic and Health Survey (DHS) were analyzed. Descriptive statistics and multivariate logistic regression analyses were conducted to determine the factors associated with the non-utilization of health facilities for childbirth. The adjusted odds ratios (AOR) with their corresponding 95% confidence intervals (CI) were computed using the Statistical Package for Social Sciences, version 30.0.

resultsOverall, 58.3% (95% CI: 57.0-59.5) of women did not give birth in a health facility. Women were more likely to give birth at home or in the village if they had no formal education (AOR: 1.48; 95% CI: 1.11-2.09), lived in rural areas (AOR: 1.31; 95% CI: 1.11-1.75), were from the Southern (AOR: 1.05; 95% CI: 1.01-1.54), or Momase (AOR: 1.06; 95% CI: 1.02-1.83) regions, made their own healthcare decisions (AOR: 1.21; 95% CI: 1.10-4.14), had these decisions made by their husbands (AOR: 1.69; 95% CI: 1.13-2.63), walked to a health facility (AOR: 1.01; 95% CI: 1.00-1.67), or traveled more than 24 hours to access care (AOR: 1.02; 95% CI: 1.39-2.70), and had no antenatal care visits during pregnancy (AOR: 1.08; 95% CI: 1.04-1.51).

conclusionsOver half of the women in this study did not utilize health facilities for childbirth. Demographic and health service-related factors influenced the non-utilization of facility-based childbirth, highlighting the need to scale up maternal health services. Increasing uptake of facility-based childbirth requires coordinated system-level efforts and incentive-based interventions that promote antenatal care and skilled birth attendance, especially for rural women. Male-inclusive strategies in maternal health decision-making are critical for improving women's access to and utilization of facility-based childbirth services.

Indexed as

Delivery, ObstetricHealth FacilitiesMaternal Health ServicesParturitionPatient Acceptance of Health CareAdolescentAdultFemaleHealth Services AccessibilityHealth SurveysHumansMiddle AgedPapua New GuineaPregnancyRural PopulationYoung Adult

Identifiers

PMID41468416
PMCPMC12752947

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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.