Evidence map›Paper›PMID 34380463›Full record

ArticleBMC public health2021

The determinant of health insurance ownership among pregnant women in Indonesia.

Agung Dwi Laksono, Ratna Dwi Wulandari, Ratu Matahari

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 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

3 authors.

Agung Dwi LaksonoThe Ministry of Health of the Republic of Indonesia, National Institute of Health Research and Development, Jakarta, Indonesia. ratna-d-w@fkm.unair.ac.id.ORCID 0000-0003-4365-5747
Ratna Dwi WulandariFaculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
Ratu MatahariFaculty of Public Health, Ahmad Dahlan University, Jogjakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth insurance ownership is one indicator of the readiness of pregnant women for the delivery process. The study aimed to analyze the determinants of health insurance ownership among pregnant women in Indonesia.

methodsThe study population was pregnant women in Indonesia. The study involved 2542 pregnant women in Indonesia. The variables analyzed included type of place of residence, age group, education level, employment status, marital status, parity, wealth status, and know the danger signs of pregnancy. In the final step, the study employed binary logistic regression to explain the relationship between health insurance ownership and predictor variables.

resultsThe results show that pregnant women with higher education were 3.349 times more likely than no education pregnant women to have health insurance. Pregnant women with wealth status in the middle category were 0.679 times the poorest pregnant women to have health insurance. Meanwhile, the richest pregnant women had 1.358 times more chances than the poorest pregnant women to have health insurance. Grande multiparous pregnant women were 1.544 times more likely than primiparous pregnant women to have health insurance. Pregnant women who know the danger signs of pregnancy were 1.416 times more likely than pregnant women who don't see the danger signs of pregnancy to have health insurance.

conclusionsThe study concluded that four variables, including education level, wealth status, parity, and knowledge of the danger signs of pregnancy, were significant determinants of health insurance ownership in Indonesia.

Indexed as

OwnershipPregnant PeopleCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansIndonesiaInsurance, HealthParityPregnancyPrenatal CareHealth insuranceHealth knowledgeMaternal healthPregnancy carePublic healthReproductive healthRisk pregnant woman

Identifiers

PMID34380463
PMCPMC8359302

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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.