Traditional risk-sharing arrangements and informal social insurance in Eritrea

Habtom, Gebremichael Kibreab; Ruys, P.H.M.

doi:10.1016/j.healthpol.2006.02.013

Cited by 22 publications

(11 citation statements)

References 21 publications

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“…Preker et al (2002) provide evidence from the developing world and suggest that such schemes may even be inclusive of the poor who are in general socially excluded. Habtom and Ruys (2007), using data from Eritrea, report evidence for the importance informal insurance schemes in providing modern health services where free public health services and private insurance are unavailable. Thus, there is room for policy in terms of enhancing the sustainability of these financing arrangements in the context of health expenditures.…”

Section: Patients' Hospital Choicementioning

confidence: 99%

Hospital Choice: Survey Evidence from Istanbul

et al. 2009

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This paper analyzes the patient characteristics that affect the choice between public and private health care providers in Istanbul, Turkey. In addition to socioeconomic variables, such as insurance status or income, which have often been considered in the previous literature, we also focus on another factor, the availability of social networks, which might determine ease of access to hospital services in developing countries. The analysis is based on data from a household survey conducted in Istanbul. The econometric results indicate that potential social ties play an important role in choosing public health care centers over private ones for minor health problems. As public facilities have long been characterized by long waiting lines even for appointments for medical exams, this finding indicates that households who possess higher levels of social networks might be using those in easing access to public facilities.

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Section: Patients' Hospital Choicementioning

confidence: 99%

Hospital Choice: Survey Evidence from Istanbul

et al. 2009

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“…Health insurance enrolment in LMICs tends to be inequitable as most schemes favour the few well off over the many poor, the vulnerable and low‐income earners (Yazbeck ). Yet these groups of people face a disproportionate share of the disease burden and need financial protection (Habtom & Ruys ). Even when attempts are made to provide coverage for vulnerable groups, maintaining their membership becomes problematic as they are likely to drop out due to problems associated with membership renewal (De Allegri et al .…”

Section: Introductionmentioning

confidence: 99%

Factors influencing the decision to drop out of health insurance enrolment among urban slum dwellers in Ghana

Atinga

Abiiro

Kuganab-Lem

2014

Tropical Med Int Health

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Abstractobjective To identify the factors influencing dropout from Ghana's health insurance scheme among populations living in slum communities.methods Cross-sectional data were collected from residents of 22 slums in the Accra Metropolitan Assembly. Cluster and systematic random sampling techniques were used to select and interview 600 individuals who had dropped out from the scheme 6 months prior to the study. Descriptive statistics and multivariate logistic regression models were computed to account for sample characteristics and reasons associated with the decision to dropout.results The proportion of dropouts in the sample increased from the range of 6.8% in 2008 to 34.8% in 2012. Non-affordability of premium was the predominant reason followed by rare illness episodes, limited benefits of the scheme and poor service quality. Low-income earners and those with low education were significantly more likely to report premium non-affordability. Rare illness was a common reason among younger respondents, informal sector workers and respondents with higher education. All subgroups of age, education, occupation and income reported nominal benefits of the scheme as a reason for dropout.conclusion Interventions targeted at removing bottlenecks to health insurance enrolment are salient to maximising the size of the insurance pool. Strengthening service quality and extending the premium exemption to cover low-income families in slum communities is a valuable strategy to achieve universal health coverage.

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“…In these countries the particular groups at risk are children, the elderly, women, low-income populations, the rural population, racial or ethnic minorities and immigrants, all of whom are at higher risk of health problems and are more likely to be uninsured. Some researchers have identified that low-income and vulnerable groups are the most likely not to be covered yet are most in need of access to health care and financial protection (Gilson 2000; Habtom 2007; Hsiao 2007). …”

Section: Introductionmentioning

confidence: 99%

Strategies for expanding health insurance coverage in vulnerable populations

Jia

Yuan

Huang

et al. 2014

Cochrane Database of Systematic Reviews

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Background Health insurance has the potential to improve access to health care and protect people from the financial risks of diseases. However, health insurance coverage is often low, particularly for people most in need of protection, including children and other vulnerable populations. Objectives To assess the effectiveness of strategies for expanding health insurance coverage in vulnerable populations. Search methods We searched Cochrane Central Register of Controlled Trials (CENTRAL), part of The Cochrane Library . www.thecochranelibrary.com (searched 2 November 2012), PubMed (searched 1 November 2012), EMBASE (searched 6 July 2012), Global Health (searched 6 July 2012), IBSS (searched 6 July 2012), WHO Library Database (WHOLIS) (searched 1 November 2012), IDEAS (searched 1 November 2012), ISI‐Proceedings (searched 1 November 2012),OpenGrey (changed from OpenSIGLE) (searched 1 November 2012), African Index Medicus (searched 1 November 2012), BLDS (searched 1 November 2012), Econlit (searched 1 November 2012), ELDIS (searched 1 November 2012), ERIC (searched 1 November 2012), HERDIN NeON Database (searched 1 November 2012), IndMED (searched 1 November 2012), JSTOR (searched 1 November 2012), LILACS(searched 1 November 2012), NTIS (searched 1 November 2012), PAIS (searched 6 July 2012), Popline (searched 1 November 2012), ProQuest Dissertation &Theses Database (searched 1 November 2012), PsycINFO (searched 6 July 2012), SSRN (searched 1 November 2012), Thai Index Medicus (searched 1 November 2012), World Bank (searched 2 November 2012), WanFang (searched 3 November 2012), China National Knowledge Infrastructure (CHKD‐CNKI) (searched 2 November 2012). In addition, we searched the reference lists of included studies and carried out a citation search for the included studies via Web of Science to find other potentially relevant studies. Selection criteria Randomised controlled trials (RCTs), non‐randomised controlled trials (NRCTs), controlled before‐after (CBA) studies and Interrupted time series (ITS) studies that evaluated the effects of strategies on increasing health insurance coverage for vulnerable populations. We defined strategies as measures to improve the enrolment of vulnerable populations into health insurance schemes. Two categories and six specified strategies were identified as the interventions. Data collection and analysis At least two review authors independently extracted data and assessed the risk of bias. We undertook a structured synthesis. Main results We included two studies, both from the United States. People offered health insurance information and application support by community‐based case managers were probably more likely to enrol their children into health insurance programmes (risk ratio (RR) 1.68, 95% confidence interval (CI) 1.44 to 1.96, moderate quality evide...

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Traditional risk-sharing arrangements and informal social insurance in Eritrea

Cited by 22 publications

References 21 publications

Hospital Choice: Survey Evidence from Istanbul

Hospital Choice: Survey Evidence from Istanbul

Factors influencing the decision to drop out of health insurance enrolment among urban slum dwellers in Ghana

Strategies for expanding health insurance coverage in vulnerable populations

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