ArticleThe Pan African medical journal2014
Risk distribution across multiple health insurance funds in rural Tanzania.
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.
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Who cites it
7 citing papers in PubMed.
- Healthcare workers´ experiences and perceptions of the provision of health insurance benefits to the elderly in rural Tanzania: an explorative qualitative study.BMC public health · 2023Article
- Utilization of health services among the elderly in Iran during the COVID-19 outbreak: A cross-sectional study.Health science reports · 2022Article
- Health insurance and health system (un) responsiveness: a qualitative study with elderly in rural Tanzania.BMC health services research · 2021Article
- Does health insurance contribute to improved utilization of health care services for the elderly in rural Tanzania? A cross-sectional study.Global health action · 2020Article
- Does the type of health insurance enrollment affect provider choice, utilization and health care expenditures?BMC health services research · 2020Article
- Ethics as a Non-technical Skill for Surgical Education in Sub-Saharan Africa.World journal of surgery · 2020Article
- Health insurance is important in improving maternal health service utilization in Tanzania-analysis of the 2011/2012 Tanzania HIV/AIDS and malaria indicator survey.BMC health services research · 2018Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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