Evidence map›Paper›PMID 29947821›Full record

ArticleInternational journal of public health2019

Health inequality and community-based health insurance: a case study of rural Rwanda with repeated cross-sectional data.

Kai Liu, Benjamin Cook, Chunling Lu

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Article in International journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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11citing papers in PubMed, 1 pooled it
–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

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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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. The Effect of Ecological Management on Regional Health Inequality.International journal of environmental research and public health · 2023
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kai LiuDepartment of Social Security, School of Labor and Human Resources, Renmin University of China, Beijing, China.
Benjamin CookDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Chunling LuDivision of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA. chunling_lu@hms.harvard.edu.

Funding

Brigham & Women's Hospital NA
6 · The paper itself

Abstract

objectivesTo investigate the inequality in medical care utilization and household catastrophic health spending (HCHS) between the poverty and non-poverty residents in rural Rwanda and their links with community-based health insurance (Mutuelles).

methodsWe used the 2005 and 2010 nationally representative Integrated Living Conditions Surveys. We estimated multilevel logistic regression models to obtain the adjusted levels and trends of both absolute and relative inequalities and examined associations between Mutuelles status and these inequalities.

resultsSignificant inequality between the two income groups, in both absolute and relative measures of medical care utilization and HCHS remained unchanged in 2005 and 2010. Significant reduction in adjusted absolute inequality in percentage of HCHS between the two years was not associated with Mutuelles status.

conclusionsWhile Mutuelles promoted medical care utilization and reduced HCHS, it did not play a significant role in reducing their inequalities by poverty status between 2005 and 2010. Future studies should assess the impact of additional strategies (e.g., the exemption of Mutuelles premiums and copayments for households living in poverty), on reducing inequality by poverty status.

Indexed as

Health Status DisparitiesAdolescentAdultCross-Sectional StudiesFemaleHealthcare DisparitiesHealth ExpendituresHumansIncomeInsurance, HealthLogistic ModelsMaleOrganizational Case StudiesPovertyRural PopulationRwandaAbsolute inequalityCatastrophic health spendingHealth inequalityMedical care utilizationRelative inequalityRwanda

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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.