Evidence map›Paper›PMID 28376808›Full record

ArticleInternational journal for equity in health2017

Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage.

Md Rashedul Islam, Md Shafiur Rahman, Zobida Islam, Cherri Zhang B Nurs, Papia Sultana, Md Mizanur Rahman

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  12. Measuring and decomposing socioeconomic inequality in catastrophic healthcare expenditures in Iran.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019
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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

6 authors at 4 institutions in 3 countries.

Md Rashedul IslamDepartment of Computer Science, Uttara Commerce College, Dhaka, Bangladesh.
Md Shafiur RahmanDepartment of Global Health Policy, The University of Tokyo, Tokyo, Japan.
Zobida IslamDepartment of Public Health, First Capital University of Bangladesh, Chuadanga, Bangladesh.
Cherri Zhang B NursDepartment of Global Health Policy, The University of Tokyo, Tokyo, Japan.
Papia SultanaDepartment of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
Md Mizanur RahmanDepartment of Global Health Policy, The University of Tokyo, Tokyo, Japan. mizanur_rub@yahoo.com.ORCID 0000-0002-0624-5856
The University of Tokyo · JPDepartment of Health · IEUniversity of Rajshahi · BDUttara University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFinancial risk protection and equity are major components of universal health coverage (UHC), which is defined as ensuring access to health services for all citizens without any undue financial burden. We investigated progress towards UHC financial risk indicators and assessed variability of inequalities in financial risk protection indicators by wealth quintile. We further examined the determinants of different financial hardship indicators related to healthcare costs.

methodsA cross-sectional, three-stage probability survey was conducted in Bangladesh, which collected information from 1600 households from August to November 2011. Catastrophic health payments, impoverishment, and distress financing (borrowing or selling assets) were treated as financial hardship indicators in UHC. Poisson regression models were used to identify the determinants of catastrophic payment, impoverishment and distress financing separately. Slope, relative and concentration indices of inequalities were used to assess wealth-based inequalities in financial hardship indicators.

resultsThe study found that around 9% of households incurred catastrophic payments, 7% faced distress financing, and 6% experienced impoverishing health payments in Bangladesh. Slope index of inequality indicated that the incidence of catastrophic health payment and distress financing among the richest households were 12 and 9 percentage points lower than the poorest households respectively. Multivariable Poisson regression models revealed that all UHC financial hardship indicators were significantly higher among household that had members who received inpatient care or were in the poorest quintile. The presence of a member with chronic illness in a household increased the risk of impoverishment by nearly double.

conclusionThis study identified a greater inequality in UHC financial hardship indicators. Rich households in Bangladesh were facing disproportionately less financial hardship than the poor ones. Households can be protected from financial hardship associated with healthcare costs by implementing risk pooling mechanism, increasing GDP spending on health, and properly monitoring subsidized programs in public health facilities.

Indexed as

Financing, PersonalHealth ExpendituresPovertySocial ClassUniversal Health InsuranceAdultAgedBangladeshCatastrophic IllnessChildChronic DiseaseCost of IllnessCross-Sectional StudiesFamily CharacteristicsFemaleFinancing, GovernmentBangladeshCatastrophic expenditureHardship financingImpoverishmentInequalitiesOOP paymentUniversal health coverage

Identifiers

PMID28376808
PMCPMC5381038
OpenAlexW2605154842

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.