Evidence map›Paper›PMID 41121089›Full record

ArticleBMC pregnancy and childbirth2025

Factors associated with institutional delivery in remote areas: a cross-sectional survey in Papua Region, Indonesia.

Nuzulul Kusuma Putri, Agung Dwi Laksono, Ernawaty, Ina Kusrini, Yuly Astuti, Ratu Matahari

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 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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0citing papers 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Nuzulul Kusuma PutriDepartment of International Health and Sustainable Development, School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA.
Agung Dwi LaksonoNational Research and Innovation Agency, Republic of Indonesia, Jakarta, Indonesia.
ErnawatyResearch Group for Health Policy and Administration, Faculty of Public Health Universitas Airlangga, Surabaya, 60115, Indonesia. ernawaty@fkm.unair.ac.id.
Ina KusriniNational Research and Innovation Agency, Republic of Indonesia, Jakarta, Indonesia.
Yuly AstutiNational Research and Innovation Agency, Republic of Indonesia, Jakarta, Indonesia.
Ratu MatahariFaculty of Public Health Science, Universitas Ahmad Dahlan, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndonesia is the third country in Southeast Asia with the highest maternal mortality ratio. In its remotest area, Papua, pregnant women still face limited access to safe delivery in health facilities, despite being covered by national health insurance.

objectiveThis study examined the factors associated with institutional delivery in the Papua Region, Indonesia.

methodsThis cross-sectional study analysed 2,275 women aged 15 or older who had given birth in the last five years. The outcome variable was institutional delivery, while nine independent variables were assessed: province, residence, age, marital status, education, employment, wealth, parity, and completeness of antenatal care (ANC). Binary logistic regression was used to identify associated factors. Additionally, a Geographic Information System (GIS) was employed to map disparities in institutional delivery across the region.

resultsThe overall coverage of institutional delivery in the Papua Region was 50.1%. Coastal areas showed higher prevalence, while the Central Mountains region had the lowest coverage. Institutional delivery was significantly associated with all nine independent variables. Women with lower education and without partners were less likely to deliver in health facilities, even when financially covered by health insurance.

conclusionsThe findings suggest that a combination of demographic, socioeconomic, and healthcare access factors influences the use of institutional delivery in Papua. Improving access requires multisectoral strategies, including infrastructure development, health education, and equitable healthcare delivery, particularly for women in remote and underserved areas.

Indexed as

Delivery, ObstetricHealth FacilitiesHealth Services AccessibilityMaternal Health ServicesAdolescentAdultCross-Sectional StudiesFemaleHealthcare DisparitiesHumansIndonesiaLogistic ModelsMiddle AgedPregnancyPrenatal CareRural PopulationInstitutional delivery, remote area, pregnant women, Papua, healthcare delivery

Identifiers

PMID41121089
PMCPMC12542200

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LicenceCC BY
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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.