Evidence map›Paper›PMID 39430158›Full record

ArticleIranian journal of public health2024

Factors Related to Hospital Inpatients among the Poor in Indonesia.

Agung Dwi Laksono, Ratna Dwi Wulandari, Zuardin Zuardin, Hadi Ashar, Mara Ipa, Agung Puja Kesuma

Abstract read
In one paragraph

Article in Iranian journal of public health, 2024. 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Agung Dwi LaksonoNational Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia.
Ratna Dwi WulandariFaculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
Zuardin ZuardinFaculty of Psychology and Health, UIN Sunan Ampel, Surabaya, Indonesia.
Hadi AsharNational Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia.
Mara IpaNational Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia.
Agung Puja KesumaNational Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The poor are vulnerable when they fall seriously ill and require hospitalization. The study aimed to analyze the factors related to hospital inpatients among the poor in Indonesia. Methods: We analysed the 2018 Indonesian Basic Health Survey data. This cross-sectional study examined 233778 respondents through stratification and multistage random sampling. We used seven independent variables age, gender, marital status, education, employment, and health insurance, in addition to the hospital inpatient, as a dependent variable. We employed binary logistic regression to evaluate the data. Results: The poor in urban areas were 1.315 times more likely to be hospital inpatients than those in rural areas (95%CI 1.249-1.385). Age, gender, and marital status were related to the hospital inpatients. The better the education level, the higher the hospital inpatient proportion. Meanwhile, the employed were 40% less likely than the unemployed to be hospital inpatients (95%CI 0.565-0.634). Furthermore, the insured were 3.513 times more likely than the uninsured to be hospital inpatients (95%CI 3.264-3.780). Conclusion: Seven variables were related to hospital inpatients among the poor in Indonesia: residence, age, gender, marital status, education, employment, and health insurance. Health insurance was the main factor associated with hospital inpatients among low-income people. The government must increase the subsidy quota for the poor's participation in National Health Insurance.

Indexed as

InpatientsPovertyPublic healthSocioeconomic

Identifiers

PMID39430158
PMCPMC11488566

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