Willingness to pay for customized health insurance package: An exploratory study in a developing country

2021 ◽  
Vol 17 (2) ◽  
pp. 44-51
Author(s):  
Hari Babu Singu
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Developing Country ◽  
Exploratory Study

scholarly journals Willingness to pay for health insurance in the informal sector of Sierra Leone

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0189915 ◽  
Author(s):  
Mireia Jofre-Bonet ◽  
Joseph Kamara
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Sierra Leone ◽  
Informal Sector

scholarly journals Preferences for benefit packages for community-based health insurance: an exploratory study in Nigeria

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Obinna Onwujekwe ◽  
Chima Onoka ◽  
Nkoli Uguru ◽  
Tasie Nnenna ◽  
Benjamin Uzochukwu ◽  
...  
Keyword(s):  
Health Insurance ◽  
Exploratory Study ◽  
Community Based ◽  
Community Based 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.

Pengaruh Pendapatan, Pengetahuan Dan Kerentanan Penyakit Terhadap Willingness To Pay (WTP) Premi Jaminan Kesehatan Pada Pekerja Sektor Informal

2021 ◽  
Vol 7 (1) ◽  
pp. 48-59
Author(s):  
Anom Dwi Prakoso
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Informal Sector ◽  
Low Income ◽  
Disease Susceptibility ◽  
Universal Coverage ◽  
Health Coverage ◽  
Cross Sectional ◽  
Susceptibility Data ◽  
Central Java

  Background: The Indonesian Government's target of Universal Coverage or 100% Health Insurance participation by 2019 failed to be achieved, even until the end of October 2020. The failure of universal coverage resulted in BPJS Health's finances getting worse after experiencing a deficit. Informal sector workers are the most dominant sector that has not participated in the Health Insurance scheme, totaling 30,487,891 workers. Low income, uncertainty each month, and the increase in contributions resulted in a decrease in Willingness to pay Health Insurance contributions. Research purposes: The purpose of this study is to analyze the effect of income, knowledge, and disease susceptibility to the willingness to pay (WTP) of health insurance contributions to informal sector workers. Method: This cross-sectional research was conducted in Kudus Regency, Central Java in January-February 2020. Sampling used purposive sampling with a total of 200 informal sector workers who had not yet participated in BPJS Kesehatan. The dependent variable is a willingness to pay. The independent variables are income, knowledge, and disease susceptibility. Data collection using a questionnaire and data analysis with logistic regression. Result: Willingness To Pay health insurance contributions for informal sector workers increased in income ≥Rp 2,218,451 (b = 2.02; 95% CI = 1.01-3.55; p = 0.044), high knowledge (b = 4.64; 95% CI = 2.36-8.31; p <0.001), high disease susceptibility (b = 3.01; 95% CI = 0.26-5.75; p = 0.031). Conclusion: Income, knowledge, and disease vulnerability have a significant effect on the willingness to pay for health insurance contributions for informal sector workers.   Keywords: Universal Health Coverage; Willingness To Pay; Health Insurance; informal sector workers.

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