What is insurance for the poor?

Churchill, Craig

doi:10.5848/ilo.978-9-221192-54-1_3

Cited by 36 publications

(21 citation statements)

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“…Folland et al (2007), in a theoretical model mentioned that premium, income or wealth, health status and risk of losing income are factors that can affect the demand for health insurance [29]. Similar factors have been indicated by researchers from their empirical investigations [30-33]. While assessing the impact of educational intervention, these other factors should be controlled.…”

Section: Methodsmentioning

confidence: 97%

Impact of educational intervention on willingness-to-pay for health insurance: A study of informal sector workers in urban Bangladesh

Khan

Ahmed

2013

Health Econ Rev

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BackgroundThe reliance on out-of-pocket payments for health services leads to a catastrophic burden for many households in Bangladesh. The World Health Organization suggests that risk-pooling mechanisms should be used for financing healthcare. Like many low-income countries (LIC), a large share of employment in Bangladesh is in the informal sector (88%). Inclusion of these workers in health insurance is a big challenge. Among other barriers, the “literacy gap” for health insurance” is a reason for the low insurance uptake in Bangladesh. The aim of this study is, therefore, to assess the impact of an educational intervention on willingness-to-pay (WTP) for health insurance among informal sector workers in urban Bangladesh.MethodAn educational intervention on occupational solidarity and health insurance is offered to groups of informal workers. Educational sessions take place once a week (3–4 hours) during three subsequent weeks for each occupational group. For assessing the impact of the educational intervention, WTP for joining health insurance using occupational solidarity between workers in “pre- and post-treatment” periods as well as between “control and treatment” groups were compared. Multiple-regression analysis is applied for predicting WTP by educational intervention, while controlling for demographic and socioeconomic characteristics.ResultsThe coefficient of variation (CoV) of the WTP is estimated in control and treatment groups and expected to be lower in the latter. The WTP for health insurance is higher (33.8%) among workers who joined the educational intervention in comparison with those who did not (control group). CoV of WTP is found to be generally lower in post-treatment period and in treatment group compared to pre-treatment period and control group respectively.ConclusionEducational interventions can be used for increasing demand for health insurance scheme using occupational solidarity among informal sector workers.

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Section: Methodsmentioning

confidence: 97%

Impact of educational intervention on willingness-to-pay for health insurance: A study of informal sector workers in urban Bangladesh

Khan

Ahmed

2013

Health Econ Rev

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“…To tackle this issue, many policymakers and international organizations advocate for developing specific health care insurance schemes for rural households, including the community-based health insurance. Community-based health insurance (a) operates by risk-pooling, (b) is financed through regular premiums and is (c) tailored to poor people who would otherwise not be able to take out insurance (Churchill 2006).…”

Section: Introductionmentioning

confidence: 99%

The determinants of the willingness-to-pay for community-based prepayment scheme in rural Cameroon

Donfouet

Makaudze

Mahieu

et al. 2011

Int J Health Care Finance Econ

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In rural Cameroon, many people have no access to quality healthcare services. This is largely attributed to lack of private out-of-pocket payment to finance healthcare services. A community-based prepayment health insurance scheme may be implemented to improve healthcare access in rural areas. This study examines the determinants of willingness-to-pay for a community-based prepayment healthcare system using a contingent valuation method conducted in rural Cameroon. To mitigate potential hypothetical bias, a consequential script is introduced in the questionnaire. The results indicate age, religion, profession, knowledge of community-based health insurance, awareness of usual practice in rural areas, involvement in association and disposable income are the key determinants of willingness to pay for a prepayment health scheme. On average, willingness to pay for the scheme by rural households is 1011 CFA francs/person/month (2.15 US dollars). The results underlie two important implications: first, there is substantial demand for a community healthcare prepayment scheme by rural poor households in Cameroon; second, rural households are averse to health shocks and hence they are willing to sacrifice monthly premium payments to protect themselves (and their households) from unforeseen health-related risks. If government could engage in social marketing strategies such as mass media campaigns and awareness, this could prove vital for encouraging participation by the rural poor in healthcare prepayment scheme in Cameroon.

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“…1 1 See, for instance, the detailed contributions in Churchill (2006) on the challenges and potentials of microinsurance. …”

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confidence: 99%

Participation in Micro Life Insurance and the Use of Other Financial Services in Ghana

Giesbert

Steiner

Bendig³

2011

Journal of Risk and Insurance

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This article investigates households' decisions to take up micro life insurance and to use other financial services. It estimates a multivariate probit model based on Ghanaian household survey data. The results suggest a mutually reinforcing relationship between the use of insurance and the use of other formal financial services. Risk-averse households and households who consider themselves more exposed to risk than others are found to be less likely to participate in insurance. This suggests that insurance is considered to be risky. There is indicative evidence for adverse selection and a life-cycle effect in the uptake of insurance.

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What is insurance for the poor?

Cited by 36 publications

References 0 publications

Impact of educational intervention on willingness-to-pay for health insurance: A study of informal sector workers in urban Bangladesh

Impact of educational intervention on willingness-to-pay for health insurance: A study of informal sector workers in urban Bangladesh

The determinants of the willingness-to-pay for community-based prepayment scheme in rural Cameroon

Participation in Micro Life Insurance and the Use of Other Financial Services in Ghana

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