Willingness to Pay for Health Insurance amongst the Urban Poor: Evidence from a Slum in Mumbai, India

2011 ◽  
Vol 53 (2) ◽  
pp. 117 ◽  
Author(s):  
Soumitra Ghosh ◽  
Shinjini Mondal
Keyword(s):  
Health Insurance ◽  
Willingness To Pay ◽  
Urban Poor

scholarly journals Willingness to Pay for Health Insurance among Urban Poor: An Evidence from Urban Primary Health Care Project in Bangladesh

2020 ◽  
Vol 19 (3) ◽  
pp. 433-443
Author(s):  
Md Mizanur Rahman ◽  
Sharmin Mizan ◽  
Razitasham binti Safii ◽  
Sk Akhtar Ahmad
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Primary Health Care ◽  
Health Insurance ◽  
Willingness To Pay ◽  
Urban Poor ◽  
Link Function ◽  
Policy Makers ◽  
Primary Health

Background and Objective: With the growing concern over treatment cost in health care and the desire to improve the effectiveness and equality of healthcare financing and the quality of the care, policy-makers have turned their attention to health insurance, especially, for the poor. This study attempted to determine the willingness to pay for health insurance among the mothers who utilized the urban primary health care clinic (UPHCC) for maternal and child health. Methods: This cross-sectional study was carried out in the working areas of UPHC Project in Bangladesh following two-stage cluster sampling technique to select the participants. Data were collected from 3949 women aged 15-49 years having at least one child aged two years or less. The data on willingness to pay for health insurance was collected using the contingent valuation method with bidding style. Data analysis was done by SPSS 22.0 version. Two generalized linear models with binary logit link function and normal identity link function were developed to identify the potential predictors for willingness to pay for monthly health insurance. Results: Three-fifths (67.5%) of the respondents agreed to pay for monthly health insurance. The median monthly premium for health insurance was BDT 15.5. Multivariate analysis revealed that utilization of UPHC clinic, quality of life, family size, age, wealth index, level of education, husband and respondent’s occupation, ownership status of the house, religion and family income appeared to be potential predictors for health insurance (p<0.05). However, utilization of UPHC clinic and quality of life appeared to be important predictors across all the models. Conclusion: A large proportion of the community agreed to pay premium for health insurance. Based on the finding of the current study the policy makers might consider introducing a scheme for health insurance especially among the urban poor. Bangladesh Journal of Medical Science Vol.19(3) 2020 p.433-443

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 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.

scholarly journals Willingness and ability to pay for healthcare insurance: A cross-sectional study of Seven Communities in East and West Africa (SevenCEWA)

2021 ◽  
Vol 1 (11) ◽  
pp. e0000057
Author(s):  
Oladimeji Akeem Bolarinwa ◽  
Soter Ameh ◽  
Caleb Ochimana ◽  
Abayomi Olabayo Oluwasanu ◽  
Okello Samson ◽  
...  
Keyword(s):  
Health Insurance ◽  
Secondary Education ◽  
West Africa ◽  
Willingness To Pay ◽  
Healthcare Expenditure ◽  
Health Insurance Scheme ◽  
Insurance Scheme ◽  
Cross Sectional ◽  
Ability To Pay ◽  
East And West

Willingness and ability to pay for insurance that would cover primary healthcare services has not been evaluated consistently in different African communities. We conducted a cross-sectional community health survey and examined willingness and ability to pay in 3676 adults in seven communities in four countries: Nigeria, Tanzania, Uganda and Kenya. We used an open-ended contingency valuation method to estimate willingness to pay and examined ability to pay indirectly by calculating the ratio of healthcare expenditure to total household income. Slightly more than three quarters (78.8%) of participants were willing to pay for a health insurance scheme, and just a little above half (54.7%) were willing to pay for all household members. Across sites, median amount willing to pay was $2 per person per month. A little above half (57.6%) of households in Nigeria were able to pay the premium. The main predictors of likelihood of being unwilling to pay for the health insurance scheme were increasing age [aOR 0.99 (95% CI 0.98, 1.00)], being female [0.68 (0.51, 0.92], single [0.32 (0.21, 0.49)], unemployment [0.54 (0.34, 0.85)], being enrolled in another health insurance scheme [0.45 (0.28, 0.74)] and spending more on healthcare [1.00 (0.99, 1.00)]. But being widow [2.31 (1.30, 4.10)] and those with primary and secondary education [2.23 (1.54, 3.22)] had increased likelihood of being willing to pay for health insurance scheme. Retired respondents [adjusted mean difference $-3.79 (-7.56, -0.02)], those with primary or secondary education [$-3.05 (-5.42, -0.68)] and those with high healthcare expenditure [$0.02 (0.00, 0.04)] predicted amount willing to pay for health insurance scheme. The willingness to pay for health insurance scheme is high among the seven communities studied in East and West Africa with socio-demography, economic and healthcare cost as main predictive factors.

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