scholarly journals Willingness to pay for Community Health Insurance among taxi drivers in Kampala City, Uganda: a contingent evaluation

2019 ◽  
Vol Volume 12 ◽  
pp. 133-143
Author(s):  
Robert Basaza ◽  
Elizabeth P. Kyasiimire ◽  
Prossy K. Namyalo ◽  
Angela Kawooya ◽  
Proscovia Nnamulondo ◽  
...  
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Community Health ◽  
Taxi Drivers ◽  
Kampala City ◽  
Community Health Insurance

scholarly journals Household preferences and willingness to pay for health insurance in Kampala City: a discrete choice experiment

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Edward Kalyango ◽  
Rornald Muhumuza Kananura ◽  
Elizabeth Ekirapa Kiracho
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Insurance ◽  
Willingness To Pay ◽  
Health Care Providers ◽  
Public Health Care ◽  
Care Providers ◽  
Potential Health ◽  
Kampala City ◽  
Household Preferences

Abstract Introduction Uganda is in discussions to introduce a national health insurance scheme. However, there is a paucity of information on household preferences and willingness to pay for health insurance attributes that may guide the design of an acceptable health insurance scheme. Our study sought to assess household preferences and willingness to pay for health insurance in Kampala city using a discrete choice experiment. Methods This study was conducted from 16th February 2020 to 10th April 2020 on 240 households in the Kawempe division of Kampala city stratified into slum and non-slum communities in order to get a representative sample of the area. We purposively selected the communities that represented slum and non-slum communities and thereafter applied systematic sampling in the selection of the households that participated in the study from each of the communities. Four household and policy-relevant attributes were used in the experimental design of the study. Each respondent attended to 9 binary choice sets of health insurance plans that included one fixed choice set. Data were analyzed using mixed logit models. Results Households in both the non-slum and slum communities had a high preference for health insurance plans that included both private and public health care providers as compared to plans that included public health care providers only (non-slum coefficient β = 0.81, P < 0.05; slum β = 0.87, p < 0.05) and; health insurance plans that covered extended family members as compared to plans that had limitations on the number of family members allowed (non-slum β = 0.44, P < 0.05; slum β = 0.36, p < 0.05). Households in non-slum communities, in particular, had a high preference for health insurance plans that covered chronic illnesses and major surgeries to other plans (0.97 β, P < 0.05). Our findings suggest that location of the household influences willingness to pay with households from non-slum communities willing to pay more for the preferred attributes. Conclusion Potential health insurance schemes should consider including both private and public health care providers and allow more household members to be enrolled in both slum and non-slum communities. However, the inclusion of more HH members should be weighed against the possible depletion of resources and other attributes. Potential health insurance schemes should also prioritize coverage for chronic illnesses and major surgeries in non-slum communities, in particular, to make the scheme attractive and acceptable for these communities.

scholarly journals A rapid evaluation of the Rajiv Aarogyasri community health insurance scheme in Andhra Pradesh, India

2012 ◽  
Vol 6 (Suppl 1) ◽  
pp. O4 ◽  
Author(s):  
Mala Rao ◽  
Shridhar Kadam ◽  
TN Sathyanarayana ◽  
Rahul Shidhaye ◽  
Rajan Shukla ◽  
...  
Keyword(s):  
Health Insurance ◽  
Community Health ◽  
Andhra Pradesh ◽  
Health Insurance Scheme ◽  
Rapid Evaluation ◽  
Insurance Scheme ◽  
Community Health Insurance

scholarly journals Community health insurance in Gudalur, India, increases access to hospital care

2009 ◽  
Vol 25 (2) ◽  
pp. 145-154 ◽  
Author(s):  
N. Devadasan ◽  
B. Criel ◽  
W. Van Damme ◽  
S Manoharan ◽  
P S. Sarma ◽  
...  
Keyword(s):  
Health Insurance ◽  
Community Health ◽  
Hospital Care ◽  
Community Health Insurance

scholarly journals Promoting universal financial protection: a case study of new management of community health insurance in Tanzania

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Josephine Borghi ◽  
Stephen Maluka ◽  
August Kuwawenaruwa ◽  
Suzan Makawia ◽  
Juma Tantau ◽  
...  
Keyword(s):  
Health Insurance ◽  
Community Health ◽  
Financial Protection ◽  
Community Health Insurance

scholarly journals Household Preferences and Willingness to Pay for Health Insurance in Kampala City: A Discrete Choice Experiment

2020 ◽  
Author(s):  
Edward Kalyango ◽  
Rornald Muhumuza Kananura ◽  
Elizabeth Ekirapa Kiracho
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Family Members ◽  
Chronic Illnesses ◽  
Insurance Scheme ◽  
Kampala City ◽  
Private And Public ◽  
Household Preferences

Abstract Introduction: Uganda is in discussions to introduce a national health insurance scheme. However, there is a paucity of information on household preferences and willingness to pay for health insurance attributes that may guide the design of an acceptable health insurance scheme. Our study sought to assess households’ preferences and willingness to pay for health insurance using a discrete choice experiment. Methods: This study was conducted from 16 th February 2020 to 10 th April 2020 on 240 households in Kawempe division, Kampala city, stratified into slum and non-slum communities in order to get a representative sample of the area. Four household and policy-relevant attributes were used in the experimental design of the study. Each respondent attended to 9 binary choice sets of health insurance plans. Data were analysed using mixed logit models. Results: Households from the non-slum and slum communities preferred plans that included both private and public providers to plans that included public providers only (non-slum 0.81 β , P<0.05; slum 0.87 β , p<0.05), and plans that covered extended family members to plans that had limitations on number of family members allowed (non-slum β 0.44, P<0.05; slum 0.36 β, p<0.05). Households from the non-slum community in particular preferred plans that covered chronic illnesses and major surgeries to other plans (0.97 β, P<0.05). Our findings suggest that location of the household matters in determining willingness to pay with households from non-slum communities willing to pay more for the preferred attributes. Conclusion : Potential health insurance schemes should consider including both private and public providers, fewer restrictions on the number of family members enrolled for both communities; and coverage for chronic illnesses and major surgeries for non-slum communities. However, the inclusion of more family members needs to be weighed against possible depletion of resources.

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