Dataset Information

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

ABSTRACT: The objective of this project is to study the willingness to pay (WTP) for health insurance (HI) of individuals working in the informal sector in Sierra Leone, using a purposely-designed survey of a representative sample of this sector.We elicit the WTP using the Double-Bounded Dichotomous Choice with Follow Up method. We also examine the factors that are positively and negatively associated with the likelihood of the respondents to answer affirmatively to joining a HI scheme and to paying three different possible premiums, to join the HI scheme. We additionally analyze the individual and household characteristics associated with the maximum amount the household is willing to pay to join the HI scheme.The results indicate that the average WTP for the HI is 20,237.16 SLL (3.6 USD) per adult but it ranges from about 14,000 SLL (2.5 USD) to about 35,000 SLL (6.2 USD) depending on region, occupation, household and respondent characteristics. The analysis of the maximum WTP indicates that living outside the Western region and working in farming instead of petty trade are associated with a decrease in the maximum premium respondents are WTP for the HI scheme. Instead, the maximum WTP is positively associated to being a driver or a biker; having secondary or tertiary education (as opposed to not having any); the number of pregnant women in the household; having a TV; and, having paid for the last medical requirement.In summary, the various analyses show that a premium for the HI package could be set at approximately 20,000 SLL (3.54 USD) but also that establishing a single premium for all individuals in the informal sector could be risky. The efficient functioning of a HI scheme relies on covering as much of the population as possible, in order to spread risks and make the scheme viable. The impact of the various population characteristics raises the issue of how to rate premiums. In other words, setting a premium that may be too high for a big proportion of the population could mean losing many potential enrollees and might have viability consequences for the operation of the scheme.

SUBMITTER: Jofre-Bonet M

PROVIDER: S-EPMC5955490 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Jofre-Bonet Mireia M Kamara Joseph J

PloS one 20180516 5

<h4>Purpose</h4>The objective of this project is to study the willingness to pay (WTP) for health insurance (HI) of individuals working in the informal sector in Sierra Leone, using a purposely-designed survey of a representative sample of this sector.<h4>Methods</h4>We elicit the WTP using the Double-Bounded Dichotomous Choice with Follow Up method. We also examine the factors that are positively and negatively associated with the likelihood of the respondents to answer affirmatively to joining ...[more]

PMID: 29768409

Similar Datasets

Project description:IntroductionReliance on out-of-pocket payment for healthcare may lead poor households to undertake catastrophic health expenditure, and risk-pooling mechanisms have been recommended to mitigate such burdens for households in Bangladesh. About 88% of the population of Bangladesh depends on work in the informal sector. We aimed to estimate willingness-to-pay (WTP) for CBHI and identify its determinants among three categories of urban informal workers rickshaw-pullers, shopkeepers and restaurant workers.MethodsThe bidding game version of contingent valuation method was used to estimate weekly WTP. In three urban locations 557 workers were interviewed using a structured questionnaire during 2010 and 2011. Multiple-regression analysis was used to predict WTP by demographic and household characteristics, occupation, education level and past illness.ResultsWTP for a CBHI scheme was expressed by 86.7% of informal workers. Weekly average WTP was 22.8 BDT [Bangladeshi Taka; 95% confidence interval (CI) 20.9-24.8] or 0.32 USD and varied significantly across occupational groups (p = 0.000) and locations (p = 0.003). WTP was highest among rickshaw-pullers (28.2 BDT or 0.40 USD; 95% CI: 24.7-31.7), followed by restaurant workers (20.4 BDT 0.29 USD; 95% CI: 17.0-23.8) and shopkeepers (19.2 BDT or 0.27 USD; 95% CI: 16.1-22.4). Multiple regression analysis identified monthly income, occupation, geographical location and educational level as the key determinants of WTP. WTP increased 0.196% with each 1% increase in monthly income, and was 26.9% lower among workers with up to a primary level of education versus those with higher than primary, but less than one year of education.ConclusionInformal workers in urban areas thus are willing to pay for CBHI and socioeconomic differences explain the magnitude of WTP. The policy maker might think introducing community-based model including public-community partnership model for healthcare financing of informal workers. Decision making regarding the implementation of such schemes should consider worker location and occupation.

Project description:Background: Kenya has made a policy decision to use contributory health insurance as one of its key pre-payment health financing mechanisms. The National Hospital Insurance Fund (NHIF) is the main health insurer in Kenya. While the NHIF has hitherto focused its efforts on providing health insurance coverage to individuals in the formal sector, it has recently broadened its focus to include individuals in the informal sector. This paper provides an analysis of the perceptions, and experiences of informal sector individuals in Kenya with regard to enrolment with the NHIF. Methods: We collected data through key informant interviews (39) in two purposefully selected counties. Study participants were drawn from healthcare facilities contracted by the NHIF, and current, former, and prospective informal sector members. We analyzed data using a grounded approach. Results: Participants felt that the NHIF provided inadequate information about the registration and membership processes as well as benefit entitlements. There was variable and inconsistent communication by the NHIF. There was also variance between the official benefit package and the actual benefits received by members. The NHIF registration requirements and processes presented an administrative barrier to obtaining membership. The NHIF premium level and contribution mechanism presents a financial barrier to current and prospective members. Healthcare providers discriminated against NHIF members compared to cash-payers or private insurance holders. Conclusions: The NHIF could improve enrolment and retention of informal sector individuals by; 1) using communication strategies that are effective at reaching the informal sector, 2) improving the affordability of the premium rates, 3) simplifying the enrolment requirements and process, and 4) strengthening accountability mechanisms between itself and healthcare facilities to ensure that enrolled members receive the benefits that they are entitled to, and that client experience at healthcare facilities are satisfactory.

Project description:BackgroundMany low and middle-income countries are increasingly cognisant of the need to offer financial protection to its citizens through pre-payment schemes in order to curb high out of pocket expenditure and catastrophic spending on healthcare. However, there is limited rigorous contextual evidence to make decisions regarding optimal design of such schemes. This study assesses the willingness-to-pay (WTP) for the recently introduced state contributory health insurance scheme (SHIS) in Nigeria.MethodsThe study took place in 6 local government areas in Kaduna state, North-west Nigeria. Data were collected from a household survey using a three-stage cluster sampling approach, with each household having the same probability of being selected. Interviews were conducted with 4000 individuals in 1020 households. Contingent valuation was used to elicit the willing to pay (WTP) for the household using the bidding game technique. The relationship between socioeconomic status and WTP was also examined using logistic regression models.FindingsAbout 82% of the household heads were willing to pay insurance premiums for their households, which came to an average of 513 Naira (1.68 USD) per month per person. The average amount individuals were willing to pay was lower in rural areas (611 Naira) compared to urban areas (463 Naira). These results were influenced by household size, level of education, occupation and household income. In addition, only 65% of the households had the ability to pay the average premium.ConclusionSocioeconomic factors influence individuals' WTP for contributory health insurance schemes. It is important to create awareness about the benefits of the insurance scheme, especially in rural areas, and in both the formal and informal sectors in Nigeria. WTP information can inform the amount of insurance premiums. However, it is important to consider differences between the WTP and the cost of benefits package to be offered, as the premium amount may need to be subsidized with public financing.

Project description:BackgroundEthiopia plans to introduce social health insurance with the aim of giving recipients high-quality, long-term universal health care. It was anticipated to be fully operational in 2014. However, due to strong opposition from public employees, the implementation has been delayed multiple times. As a result, more and more studies have been conducted to collect evidence about the issue. However, there is no national pooled evidence regarding the willingness to pay for the scheme. Thus, this review aimed to evaluate the willingness to pay for social health insurance and associated factors in Ethiopia.MethodsOn September 1, 2022, database searches were conducted on Scopus, Hinari, PubMed, Google Scholar, and Semantic Scholar. Based on this search, 19 studies were included in the review. The risk of bias for the included studies was assessed using Joana Briggs Institute checklists. The data were extracted using Microsoft Excel. RevMan-5 was used to conduct the meta-analysis. The effect estimates assessed were the odds ratios at a p-value <0.05 with a 95% CI using the random effect model.ResultsThe pooled willingness to pay for social health insurance was 42.25% and was found to be affected by sociodemographic, health and illness status, health service related factors, awareness or knowledge level, perception or attitude toward the scheme, and factors related to the scheme. The pooled result showed that the willingness of participants to pay for the scheme was 16% less likely (OR = 0.84; 95% CI: 0.52-1.36). When the outlier was unchecked, the willingness to pay became 42% less likely (OR = 0.58; 95% CI: 0.37-0.91). The lowest willingness to pay for the scheme was in the Oromia region, while the highest was in Harar. Professionally, teachers were 3.22 times more likely to pay for the scheme (OR = 3.22; 95% CI: 1.80-5.76) than health professionals.ConclusionThe willingness to pay for social health insurance was low, <50%, particularly among health professionals, which urges the Ethiopian health insurance service to deeply look into the issue.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets