2016
DOI: 10.1093/heapol/czw049
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What factors drive heterogeneity of preferences for micro-health insurance in rural Malawi?

Abstract: Investigating the factors that drive differences in preferences for health insurance products among rural populations is a relevant policy issue that has so far received little attention. This study used a discrete choice experiment to explore heterogeneity of preferences for a prospective micro-health insurance (MHI) product in Malawi. Through an extensive qualitative study, six attributes, each associated with three levels, were derived and used to construct a D-efficient design. The attributes included unit… Show more

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Cited by 12 publications
(9 citation statements)
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“…One study in Addis Ababa showed health insurance did not provided suitable financial protection for the insured people [ 37 ]. Another study found the low co-payment when receiving service was one of the priorities of the insured [ 40 ]. In other studies, non-payment or payment of 50% of the costs when receiving the service was among the preferences of the participants.…”
Section: Discussionmentioning
confidence: 99%
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“…One study in Addis Ababa showed health insurance did not provided suitable financial protection for the insured people [ 37 ]. Another study found the low co-payment when receiving service was one of the priorities of the insured [ 40 ]. In other studies, non-payment or payment of 50% of the costs when receiving the service was among the preferences of the participants.…”
Section: Discussionmentioning
confidence: 99%
“…In other studies, non-payment or payment of 50% of the costs when receiving the service was among the preferences of the participants. Some studies revealed that the increasing level of cost coverage to 90% doubled the probability of choosing health insurance [ 40 42 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The next two attributes are reimbursement rate and the annual premium per person. In DCE studies on insurance preferences of residents, attributes on the cost were always included ( 35 , 50 53 ). The inclusion of the annual premium per person attribute allows for the estimation of residents' willingness to pay for improvements in other attributes.…”
Section: Methodsmentioning
confidence: 99%
“…An NHI contribution of MWK 3000 per individual was assumed, based on international experience of membership premiums of ~ 1% of average per capita incomes. A recent estimate of willingness-to-pay for insurance in Malawi was even lower at just above MWK 3000 for coverage of an extended family [7].…”
Section: Methodsmentioning
confidence: 99%