Willingness-to-pay for community based health insurance by farming households: A case study of hygeia community health plan in Kwara State, Nigeria

Babatunde, R. O.; Oyedeji, Oluwafemi; Omoniwa, Adeyemi Esther; Adenuga, Adewale Henry

doi:10.15547/tjs.2016.03.014

Cited by 12 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Household heads aged 35–54 and 55–74 were more likely to have a CBHI rate than younger household heads. This study was in line with the previous study [ 18 , 26 , 27 ], which indicates the age of household age significantly positively affected CBHI enrollment. This study contradicted the previous study [ 28 ], age is not a significant predictor of CBHI scheme enrollment.…”

Section: Discussionsupporting

confidence: 92%

The effects of individual and community-level factors on community-based health insurance enrollment of households in Ethiopia

2022

View full text Add to dashboard Cite

Introduction Community-based health insurance (CBHI) is a type of volunteer health insurance that has been adopted all over the world in which people of the community pool funds to protect themselves from the high costs of seeking medical care and treatment for the disease. In Ethiopia, healthcare services are underutilized due to a lack of resources in the healthcare system. The study aims to identify the individual and community level factors associated with community-based health insurance enrollment of households in Ethiopia. Methods Data from the Ethiopian mini demographic and health survey 2019 were used to identify factors associated with community-based health insurance enrollment of households in Ethiopia. Multilevel logistic regression analysis was used on a nationally representative sample of 8,663 households nested within 305 communities, considering the data’s layered structure. We used a p-value<0.05 with a 95% confidence interval for the results. Result The prevalence of community-based health insurance enrollment in Ethiopia was 20.2%. The enrollment rate of households in the scheme was high in both Amhara (57.9), and Tigray (57.9%) regions and low (3.0%) in the Afar region. At the individual level; the age of household heads, number of children 5 and under, number of household members, has land for agriculture, has a mobile telephone, receiving cash of food from the safety Net Program, Owning livestock, and herds of farm animals, wealth index, and at the community level; the region had a significant association with community-based health insurance enrollment. Conclusion Both individual and community-level characteristics were significant predictors of community-based health insurance enrollment in households. Furthermore, the ministry of health, health bureaus, and other concerning bodies prioritize clusters with low health insurance coverage to strengthen health system financing and intervene in factors that negatively affect the CBHI enrollment of households.

show abstract

Section: Discussionsupporting

confidence: 92%

The effects of individual and community-level factors on community-based health insurance enrollment of households in Ethiopia

2022

View full text Add to dashboard Cite

show abstract

“…Age, education, access to educative information and healthcare need and sex of the household head are significant determinants of WTP values for CBHI. These findings are comparable to other studies conducted in low income settings (Basaza et al, 2017;Mogessie et al, 2017;Babatunde et al, 2016;Ahmed et al, 2016;Dror et al, 2016a;Onwujekwe et al, 2010;Lofgren, 2008;Aswaf, 2008, Masanjala andPhiri, 2007). Factors that influence membership to schemes include distance, quality of care and trust.…”

Section: Discussionsupporting

confidence: 90%

“…The CVM has been used in valuation of public goods for a period now spanning 35 years (Mogessie et al, 2017;Babatunde et al, 2016;Onwujekwe et al, 2010;Asfaw et al, 2008;Masanjala and Phiri, 2007;Venkatachalam, 2004;Wattage, 2002). Common ways of value elicitation through CVM are Open Ended Bidding (OEB) and Dichotomous Choice (DC) (Mogessie et al, 2017;Asfaw et al, 2008;Wattage, 2002).…”

Section: Literature Reviewmentioning

confidence: 99%

Feasibility and Sustainability of Community Based Health Insurance in Rural Areas Case Study of Musana, Zimbabwe

Muchabaiwa

Chigusiwa²,

Bindu

et al. 2017

SSRN Journal

View full text Add to dashboard Cite

The Zimbabwe Demographic Health Survey (ZDHS 2010-11) showed that only 6 percent of the population is covered by health insurance in Zimbabwe. This study investigated the feasibility, acceptability and sustainability of Community Based Health Insurance (CBHI) as an alternative to pooling risk and financing social protection in Zimbabwe. Willingness to Pay (WTP) for health insurance and socioeconomic data were collected through interviews with 121 household heads selected using a 2-stage sampling procedure on 14 villages in Musana and Domboshava rural areas, a population which is largely unemployed and reliant on subsistence agriculture. A CBHI scheme was established and followed up for 3 years documenting data on visits made, financial contributions from recruited households and their actual health expenditures. Findings indicate that CBHI is generally accepted as a means of health insurance in rural communities. The median willingness to pay for health insurance was $5.43 against monthly expenditures ranging of up to $180. The low WTP is attributable to low incomes as only 3.4 percent of the respondents relied on formal employment. Trust issues, adverse selection, moral hazard, and administration costs were challenges threatening sustainability of CBHI. A financial gap averaging 42% was generally on a downward trend and was closed by the end of the follow-up study as contributions were equivalent to medical expenses. We conclude that CBHI is feasible, has potential for sustainability and should be considered as a springboard for the planned Zimbabwean National Health Insurance.

show abstract

“…However, previously paying out of pocket was negatively associated with WTP (30). Other factors that negatively /inversely related to WTP include chronic illness (28,34).…”

Section: Introductionmentioning

confidence: 99%

Willingness to Pay for a Contributory Social Health Insurance Scheme: A Survey of Rural Residents in Akwa Ibom State, Nigeria

Akwaowo

Umoh

Motilewa

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

Background: Health insurance is seen as a pathway to achieving Universal health coverage in low- and middle-income countries. The Nigeria Government has mandated states to set up social health insurance as a mechanism to offer financial protection to her citizens. However, the design of these schemes has been left to individual states. In preparation for the set-up of a contributory social health insurance scheme in Akwa Ibom State, Nigeria. This study assesses the willingness-to-pay for a social health insurance among rural residents in the state.Methods: The study was conducted in three local government areas in Akwa Ibom State, South south Nigeria. It was a cross-sectional study with multi-stage data collection using a demand questionnaire. Interviews were conducted with 286 household heads who were bread winners. Contingent valuation using iterative bidding with double bounded dichotomous technique was used to elicit the WTP for health insurance. Multiple regression using least square method was used to create a model for predicting WTP.Findings: About 82% of the household heads were willing to pay insurance premiums for their households. The median WTP for insurance premium was 11,142 Naira ($29), 95% CI: 9,599–12,684 Naira ($25–$33) per annum. The respondents were predominantly middle-aged (46.8%), Ibibio men (71.7%) with an average household size of five persons and bread winners who had secondary education (43.0%) and were mainly pentecostals (51.5%). The mean age of respondents was 46.4 ± 14.5 yrs. The two significant predictors of WTP for insurance premium amongst these rural residents were income of breadwinner (accounts for 79%) and size of household (2%). The regression coefficients for predicting WTP for insurance premium are intercept of 2,419, a slope of 0.1763 for Bread winner income and a slope of 741.5 household size, all values in Naira and kobo.Conclusion: Majority of rural residents in Akwa Ibom State were willing to pay for social health insurance. The amount they were willing to pay was significantly determined by the income of the breadwinner of the household and the size of the family. These findings are relevant to designing a contributory social health insurance scheme that is affordable and sustainable in order to ensure universal health coverage for the citizens.

show abstract

Willingness-to-pay for community based health insurance by farming households: A case study of hygeia community health plan in Kwara State, Nigeria

Cited by 12 publications

References 6 publications

The effects of individual and community-level factors on community-based health insurance enrollment of households in Ethiopia

The effects of individual and community-level factors on community-based health insurance enrollment of households in Ethiopia

Feasibility and Sustainability of Community Based Health Insurance in Rural Areas Case Study of Musana, Zimbabwe

Willingness to Pay for a Contributory Social Health Insurance Scheme: A Survey of Rural Residents in Akwa Ibom State, Nigeria

Contact Info

Product

Resources

About