Evidence map›Paper›PMID 25574326›Full record

ArticleThe Pan African medical journal2014

Risk distribution across multiple health insurance funds in rural Tanzania.

Eunice Nahyuha Chomi, Phares Gamba Mujinja, Ulrika Enemark, Kristian Hansen, Angwara Dennis Kiwara

Abstract read
In one paragraph

Article in The Pan African medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

7 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

5 authors.

Eunice Nahyuha ChomiMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania ; Aarhus University, Aarhus, Denmark.
Phares Gamba MujinjaMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Ulrika EnemarkAarhus University, Aarhus, Denmark.
Kristian HansenLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Angwara Dennis KiwaraMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultiple insurance funds serving different population groups may compromise equity due to differential revenue raising capacity and an unequal distribution of high risk members among the funds. This occurs when the funds exist without mechanisms in place to promote income and risk cross-subsidisation across the funds. This paper analyses whether the risk distribution varies across the Community Health Fund (CHF) and National Health Insurance Fund (NHIF) in two districts in Tanzania. Specifically we aim to 1) identify risk factors associated with increased utilisation of health services and 2) compare the distribution of identified risk factors among the CHF, NHIF and non-member households.

methodsData was collected from a survey of 695 households. A multivariate logisitic regression model was used to identify risk factors for increased health care utilisation. Chi-square tests were performed to test whether the distribution of identified risk factors varied across the CHF, NHIF and non-member households.

resultsThere was a higher concentration of identified risk factors among CHF households compared to those of the NHIF. Non-member households have a similar wealth status to CHF households, but a lower concentration of identified risk factors.

conclusionMechanisms for broader risk spreading and cross-subsidisation across the funds are necessary for the promotion of equity. These include risk equalisation to adjust for differential risk distribution and revenue raising capacity of the funds. Expansion of CHF coverage is equally important, by addressing non-financial barriers to CHF enrolment to encourage wealthy non-members to join, as well as subsidised membership for the poorest.

Indexed as

Data CollectionHumansInsurance, HealthLogistic ModelsMultivariate AnalysisNational Health ProgramsPatient Acceptance of Health CareRiskRisk FactorsRural PopulationSocioeconomic FactorsTanzaniacross-subsidisationHealth insurancerisk distributionrisk pool fragmentationrisk stratification

Identifiers

PMID25574326
PMCPMC4282803

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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.