Evidence map›Paper›PMID 33503654›Full record

ArticleInternational health2021

Determinants of out-of-district health facility bypassing in East Java, Indonesia.

Nuzulul Kusuma Putri, Ratna Dwi Wulandari, Robeth Jabbar Syahansyah, Karen A Grépin

Abstract read
In one paragraph

Article in International health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

4 authors.

Nuzulul Kusuma PutriThe Airlangga Centre for Health Policy, Kampus C Mulyorejo, Surabaya 60115, Indonesia.ORCID 0000-0003-1566-7724
Ratna Dwi WulandariThe Airlangga Centre for Health Policy, Kampus C Mulyorejo, Surabaya 60115, Indonesia.
Robeth Jabbar SyahansyahDr. Soetomo General Academic Hospital, Jl. Mayjen Prof. Dr. Moestopo No.6-8, Gubeng, Surabaya 60286, Indonesia.
Karen A GrépinDivision of Health Economics, Policy, and Management, School of Public Health, University of Hong Kong, 7 Sassoon Road, Sandy Bay, Hong Kong.

Funding

Research and Development Agency of the East Java provincial government
6 · The paper itself

Abstract

backgroundSeveral large-scale reforms, including policies aimed at achieving universal health coverage, have been implemented to overcome health disparities in Indonesia. However, access to health services remains unequal. Many people 'bypass' health services in their home district to access health services in neighbouring districts, even though their health insurance does not cover such services. This study aims to identify the factors that are associated with this out-of-district bypassing behaviour.

methodsWe surveyed 500 respondents living in the outermost districts of East Java province. We used data on education, income, district, age, gender, household size, district accessibility, insurance coverage status and satisfaction with health facilities in the home district and logistic regression analysis to model the predictors of out-of-district health facility bypassing.

resultsThe most important predictors of the bypassing behaviour were education and poor access to health facilities in the home district. Open-ended data also found that the most important reason for seeking care in another district was mostly geographic. In contrast, health insurance coverage does not appear to be a significant predictor.

conclusionsEducation and geographic factors are the main predictors of out-of-district bypassing behaviour, which appears to be how border communities express their health facility preferences. Local and central governments should continue their work to reduce inequality in access to health facilities in Indonesia's geographically challenged districts.

Indexed as

Health FacilitiesHealth Services AccessibilityHumansIndonesiaInsurance, HealthUniversal Health Insuranceaccessbypassingdistricthealth insurance

Identifiers

PMID33503654
PMCPMC8643438

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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.