The feasibility of community-based health insurance in Burkina Faso

Eliciting relative preferences for the attributes of health insurance schemes among rural consumers in India

There is a limited understanding of the preferences of rural consumers in India for health insurance schemes. In this article, we investigate the preferences of the rural population for the attributes of a health insurance scheme by implementing a discrete choice experiment (DCE). We identified six attributes through qualitative and quantitative study: enrollment, management, benefit package, coverage, transportation facility, and monthly premium. A D-efficient design of 18 choices has been constructed, each comprising two health insurance choices. We collected the representative sample from 675 household heads of the rural population through personal interviews. The preferences for the attributes and attribute levels were estimated using the multinomial logit (MNL) and random-parameter logit (RPL) models. The analysis shows that all attribute levels significantly affect the choice behavior (P < 0.05). The relative order of preferences for attributes are; enrollment, benefit package, monthly premium, management, coverage, and transportation.

Willingness to pay for a National Health Insurance Scheme in The Gambia: a contingent valuation study

In pursuit of universal health coverage, many low- and middle-income countries are reforming their health financing systems and introducing health insurance schemes. As part of these reforms, lawmakers in The Gambia enacted 'The National Health Insurance Bill, 2021'. The Act will establish a National Health Insurance Scheme (NHIS) that pays for the cost of healthcare services for its members. This study assessed Gambians' willingness to pay (WTP) for a NHIS. Using multistage sampling design with no replacement, head/co-head of households were presented with a hypothetical health insurance scheme from July to August 2020. Their WTP and factors influencing WTP were elicited using a contingent valuation method. Descriptive statistics were used to describe sample characteristics. Lopez-Feldman's modified ordered probit model and linear regression were applied to estimate respondents' WTP as well as identify factors that influence their WTP. More than 90% of the respondents-677 (94.4%) were willing to join and pay for the scheme. Half of these respondents-398 (58.8%) agreed to pay the first bid of US dollars (US$) 20.78 or Gambian dalasi (GMD) 1000. The average WTP was estimated at US$23.27 (GMD1119.82), whereas average maximum amount to pay was US$26.01 (GMD1251.16). Results of the two models together showed that gender, level of education and household income were statistically significant, with the latter showing negative influence on WTP. The study found that Gambians were largely receptive to the scheme and have stated their willingness to contribute. Our findings can inform policymakers in The Gambia and other sub-Saharan countries when establishing contribution rates and exemption criteria during social health insurance scheme implementation.

Economic valuation of setting up a social health enterprise in urban poor-resource setting in Kenya

The failure of the market and government to provide quality healthcare services have been the motivation to set up social health enterprise. However, the value for money associated with setting up a social health enterprise in sub-Sahara African countries has been relatively unexplored in the literature. The study presents the first empirical estimates of the mean willingness-to-pay (WTP) for setting up a social health enterprise that will simultaneously run a health center and provide health insurance scheme in an urban resource-poor setting and explores whether the benefits outweigh the costs. The contingent valuation method is used to estimate the mean WTP for the health insurance scheme proposed by the social health enterprise in Viwandani slum (Nairobi, Kenya). The survey was conducted between June and July 2018 on 300 households. We find that the feasibility of setting up a social health enterprise could be promising with 97 percent of respondents willing to pay about US$ 2 per person per month for a scheme that would provide quality healthcare services. More importantly, setting up the social health enterprise will yield a positive net profit, and investors could expect US$ 1.11 in benefits for each US$ 1 of costs of investment in setting up the social health enterprise. We, therefore, conclude that this health policy in this urban resource-poor setting could be a viable solution to reach the neglected urban households in the Kenyan slums.

Willingness to pay for community-based health insurance and associated factors among rural households of Bugna District, Northeast Ethiopia

OBJECTIVE

Community based health insurance schemes are becoming recognized as powerful method to achieve universal health coverage and reducing the financial catastrophic shock of the community. Therefore, this study aimed to assess willingness to pay for community-based health insurance and associated factors among rural households of Bugna District, Ethiopia.

RESULTS

A total of 532 study participants were included in the study. The finding indicated that 77.8% of the households were willing to pay for the community-based health insurance. The average amount of money the households were willing to pay per household per annum was 233 ETB ($11.12 USD). The result of the study also revealed that attending formal education[ß = 3.20; 95% CI = 1.87, 4.53], history of illness [ß = 2.52; 95% CI = 1.29, 3.75], household size [ß = 0.408; 95% CI = 0.092, 0.724], awareness about the scheme [ß = 2.96; 95% CI = 1.61, 4.30], and wealth status [ß = 5.55; 95% CI = 4.19, 6.90] were factors significantly associated with willingness to pay. Therefore, enhancing awareness of the community about the scheme, considering the amount of premium as per household family size and wealth status might increase household's willingness to pay for community-based health insurance.

The health care burden in rural Burkina Faso: Consequences and implications for insurance design

This paper maps the health care burden of households in rural Burkina Faso. More specifically we investigate the financial burden of health shocks and the manner in which households respond. Our data allows us to differentiate the burden of chronic illness and handicap, more frequent and recurring illnesses and episodes of severe illness, accident and mortality. We find that the burden of health shocks and health spending is high, ranging from one third of monthly non-medical consumption for the treatment of common infectious illnesses to almost three times the monthly non-medical spending in case of death of a household member. To cope, households deplete savings, sell livestock or reduce consumption. In case of severe shocks they are also heavily reliant on transfers from outside. Looking at the economic consequences of health shocks we find that illness of whichever type – severe, chronic or more common – reduces household consumption. Furthermore, households which suffered from a severe illness show significantly lower livestock holdings. Many of the health insurance schemes implemented in developing countries are not yet taking note of the burden of severe and chronic illness. However, in light of the universal health insurance coverage objectives of the Sustainable Development Goals (SDGs) it should be considered an area for future expansion.

Extension of mandatory health insurance to informal sector workers in Togo

BACKGROUND

About 90.4% of Togolese workers operate in the informal sector and account for between 20 and 30% of Togo's Gross Domestic Product. Despite their importance in the Togolese economy, informal sector workers (ISW) do not have a health insurance scheme. This paper aims to estimate the willingness-to-pay (WTP) of ISW in order to have access to Mandatory Health Insurance (MHI), and to analyze the main determinants of WTP.

METHODS

This study used data from the Community-Based Monitoring System (CBMS) project implemented in 2015 by the Partnership for Economic Policy (PEP). It focusses on 4,296 ISW (2,374 in urban areas and 1,922 in rural areas, respectively). The contingent valuation method was used to determine the WTP for the MHI while the Tobit model is used to analyze its determinants.

RESULTS AND DISCUSSION

Findings indicate that about 92% of ISW agreed to have access to MHI, like for formal sector workers. Overall, ISW are willing to pay 2,569 FCFA (USD 4.7) per month. ISW in the poorest quintiles are willing to allocate a higher proportion of their income (15%) to the premium than the richest quintiles (2.5%). Generally, women are more interested in MHI than men, although men are willing to pay higher premiums (3,168.9 FCFA or USD 5.8) than women (2,077 FCFA or USD 3.8). Women's lower WTP can be explained by their low levels of education and income, and a lack of employment opportunities compared to men. The gender of the head of the household, the size of the household and the education and income levels are the main determinants of WTP.

CONCLUSION

We conclude that it is possible to extend MHI to ISW as long as their premiums are subsidized. The annual subsidy is estimated at 4.1% of the state current general budget or 96% of the health sector budget. In setting the premium, policy makers should take into account the MHI benefits package, subsidies from the government, and information about the WTP. It is important to emphasize that resource mobilization and management, as well as health services delivery, would be effective only in a context of improved governance.

Adverse selection and supply-side factors in the enrollment in community-based health insurance in Northwest Ethiopia: A mixed methodology

BACKGROUND

Since 2010, the Ethiopian government introduced different measures to implement community-based health insurance (CBHI) schemes to improve access to health service and reduce the catastrophic effect of health care costs.

OBJECTIVES

The aim of this study was to examine the determinants of enrollment in CBHI in Northwest Ethiopia.

METHODS

In this study, we utilized a mix of quantitative (multivariate logistic regression applied to population survey linked with health facility survey) and qualitative (focus group discussion and in-depth interview) methods to better understand the factors that affect CBHI enrollment.

RESULTS

The study revealed important factors, such as household, informal association, and health facility, as barriers to CBHI enrollment. Age and educational status, self-rated health status, perceived quality of health services, knowledge, and information (awareness) about CBHI were among the characteristics of individual household head, affecting enrollment. Household size and participation in an informal association, such as local credit associations, were also positively associated with CBHI enrollment. Additionally, health facility factors like unavailability of laboratory tests were the main factor that hinders CBHI enrollment.

CONCLUSIONS

This study showed a possibility of adverse selection in CBHI enrollment. Additionally, perceived quality of health services, knowledge, and information (awareness) are positively associated with CBHI enrollment. Therefore, policy interventions to mitigate adverse selection as well as provision of social marketing activities are crucial to increase enrollment in CBHI. Furthermore, policy interventions that enhance the capacity of health facilities and schemes to provide the promised services are necessary.

Assessing the feasibility of community health insurance in Uganda: A mixed-methods exploratory analysis

Community health insurance (CHI) aims to provide financial protection and facilitate health care access among poor rural populations. Given common operational challenges that hamper the full development of the scheme, there is need to undertake systematic feasibility studies. These are scarce in the literature and usually they do not provide a comprehensive analysis of the local context. The present research intends to adopt a mixed-methods approach to assess ex-ante the feasibility of CHI. In particular, eight preconditions are proposed to inform the viability of introducing the micro insurance. A case study located in rural northern Uganda is presented to test the effectiveness of the mixed-methods procedure for the feasibility purpose. A household survey covering 180 households, 8 structured focus group discussions, and 40 key informant interviews were performed between October and December 2016 in order to provide a complete and integrated analysis of the feasibility preconditions. Through the data collected at the household level, the population health seeking behaviours and the potential insurance design were examined; econometric analyses were carried out to investigate the perception of health as a priority need and the willingness to pay for the scheme. The latter component, in particular, was analysed through a contingent valuation method. The results validated the relevant feasibility preconditions. Econometric estimates demonstrated that awareness of catastrophic health expenditures and the distance to the hospital play a critical influence on household priorities and willingness to pay. Willingness is also significantly affected by socio-economic status and basic knowledge of insurance principles. Overall, the mixed-methods investigation showed that a comprehensive feasibility analysis can shape a viable CHI model to be implemented in the local context.

Community preferences for a social health insurance benefit package: an exploratory study among the uninsured in Vietnam

Understanding public preferences in terms of health benefit packages (HBPs) remains limited, yet gathering community insights is an important endeavour when developing people-centred health systems and moving towards universal health coverage. Our study aimed to address this gap in knowledge by eliciting community preferences for the social health insurance benefit package among the uninsured in Vietnam. We adopted a mixed methods approach that included a ranking exercise followed by focus group discussions. We collected quantitative and qualitative data from 174 uninsured people in Bac Giang, a province in northern Vietnam. Study participants were purposively selected from 12 communities and assembled in 14 group sessions that entailed three stages: participants first selected and ranked benefit items individually, then in groups and finally they engaged in a discussion regarding their decisions. The majority of respondents (both as individuals and as groups) preferred an HBP that covers both curative and preventive care, with a strong preference for the inclusion of high-cost care, resulting from rare and costly events (inpatient care), as well as frequent and less costly events (drugs, tests and outpatient care). The process of group discussion highlighted how individual choices could be modified in the context of group negotiation. The shift in preferences was motivated by the wish to protect low-income people from catastrophic expenditure while maximising community access to vital yet costly healthcare services. Future research, interventions and policies can built on this initial exploration of preferences to explore how stakeholders can engage communities and support greater public involvement in the development of HBPs in Vietnam and other low-income and middle-income countries.

Determinants Perception and Experiences of Beneficiaries of a Hospital-based Community Health Insurance in Coastal Karnataka in India

The objective of this study was to find out the perceptions of beneficiaries in comparison to non-beneficiaries of a community-based health insurance scheme.

Both quantitative and qualitative methods were used to carry out this study; a cross-sectional household survey on 1,639 households was carried out, where the respondents were required to rate the services and facilities of the scheme A focus group discussion (FGD) with both the beneficiaries and non-beneficiaries was also carried out.

Overall, the services were rated good except in the case of treatment and inpatient services where the responses were rated average. The study results provide evidence that Community Based Health Insurance (CBHI) schemes can be a viable risk sharing mechanism for the informal sector people who would have otherwise not been covered under any health insurance or health care financing mechanism. Maintaining an affordable premium and including outpatient facilities and preventive treatment would improve the satisfaction level of those who have acceptability towards CBHI schemes.

What Factors Affect Voluntary Uptake of Community-Based Health Insurance Schemes in Low- and Middle-Income Countries? A Systematic Review and Meta-Analysis

INTRODUCTION

This research article reports on factors influencing initial voluntary uptake of community-based health insurance (CBHI) schemes in low- and middle-income countries (LMIC), and renewal decisions.

METHODS

Following PRISMA protocol, we conducted a comprehensive search of academic and gray literature, including academic databases in social science, economics and medical sciences (e.g., Econlit, Global health, Medline, Proquest) and other electronic resources (e.g., Eldis and Google scholar). Search strategies were developed using the thesaurus or index terms (e.g., MeSH) specific to the databases, combined with free text terms related to CBHI or health insurance. Searches were conducted from May 2013 to November 2013 in English, French, German, and Spanish. From the initial search yield of 15,770 hits, 54 relevant studies were retained for analysis of factors influencing enrolment and renewal decisions. The quantitative synthesis (informed by meta-analysis) and the qualitative analysis (informed by thematic synthesis) were compared to gain insight for an overall synthesis of findings/statements.

RESULTS

Meta-analysis suggests that enrolments in CBHI were positively associated with household income, education and age of the household head (HHH), household size, female-headed household, married HHH and chronic illness episodes in the household. The thematic synthesis suggests the following factors as enablers for enrolment: (a) knowledge and understanding of insurance and CBHI, (b) quality of healthcare, (c) trust in scheme management. Factors found to be barriers to enrolment include: (a) inappropriate benefits package, (b) cultural beliefs, (c) affordability, (d) distance to healthcare facility, (e) lack of adequate legal and policy frameworks to support CBHI, and (f) stringent rules of some CBHI schemes. HHH education, household size and trust in the scheme management were positively associated with member renewal decisions. Other motivators were: (a) knowledge and understanding of insurance and CBHI, (b) healthcare quality, (c) trust in scheme management, and (d) receipt of an insurance payout the previous year. The barriers to renewal decisions were: (a) stringent rules of some CBHI schemes, (b) inadequate legal and policy frameworks to support CBHI and (c) inappropriate benefits package.

CONCLUSION AND POLICY IMPLICATIONS

The demand-side factors positively affecting enrolment in CBHI include education, age, female household heads, and the socioeconomic status of households. Moreover, when individuals understand how their CBHI functions they are more likely to enroll and when people have a positive claims experience, they are more likely to renew. A higher prevalence of chronic conditions or the perception that healthcare is of good quality and nearby act as factors enhancing enrolment. The perception that services are distant or deficient leads to lower enrolments. The second insight is that trust in the scheme enables enrolment. Thirdly, clarity about the legal or policy framework acts as a factor influencing enrolments. This is significant, as it points to hitherto unpublished evidence that governments can effectively broaden their outreach to grassroots groups that are excluded from social protection by formulating supportive regulatory and policy provisions even if they cannot fund such schemes in full, by leveraging people's willingness to exercise voluntary and contributory enrolment in a community-based health insurance.

Systematic Review of Willingness to Pay for Health Insurance in Low and Middle Income Countries

OBJECTIVE

Access to healthcare is mostly contingent on out-of-pocket spending (OOPS) by health seekers, particularly in low- and middle-income countries (LMICs). This would require many LMICs to raise enough funds to achieve universal health insurance coverage. But, are individuals or households willing to pay for health insurance, and how much? What factors positively affect WTP for health insurance? We wanted to examine the evidence for this, through a review of the literature.

METHODS

We systematically searched databases up to February 2016 and included studies of individual or household WTP for health insurance. Two authors appraised the identified studies. We estimated the WTP as a percentage of GDP per capita, and adjusted net national income per capita of each country. We used meta-analysis to calculate WTP means and confidence intervals, and vote-counting to identify the variables that more often affected WTP.

RESULT

16 studies (21 articles) from ten countries met the inclusion criteria. The mean WTP of individuals was 1.18% of GDP per capita and 1.39% of adjusted net national income per capita. The corresponding figures for households were 1.82% and 2.16%, respectively. Increases in family size, education level and income were consistently correlated with higher WTP for insurance, and increases in age were correlated with reduced WTP.

CONCLUSIONS

The WTP for healthcare insurance among rural households in LMICs was just below 2% of the GPD per capita. The findings demonstrate that in moving towards universal health coverage in LMICs, governments should not rely on households' premiums as a major financing source and should increase their fiscal capacity for an equitable health care system using other sources.

A systematic review of factors that affect uptake of community-based health insurance in low-income and middle-income countries

BACKGROUND

Low-income and middle-income countries (LMICs) have difficulties achieving universal financial protection, which is primordial for universal health coverage. A promising avenue to provide universal financial protection for the informal sector and the rural populace is community-based health insurance (CBHI). We systematically assessed and synthesised factors associated with CBHI enrolment in LMICs.

METHODS

We searched PubMed, Scopus, ERIC, PsychInfo, Africa-Wide Information, Academic Search Premier, Business Source Premier, WHOLIS, CINAHL, Cochrane Library, conference proceedings, and reference lists for eligible studies available by 31 October 2013; regardless of publication status. We included both quantitative and qualitative studies in the review.

RESULTS

Both quantitative and qualitative studies demonstrated low levels of income and lack of financial resources as major factors affecting enrolment. Also, poor healthcare quality (including stock-outs of drugs and medical supplies, poor healthcare worker attitudes, and long waiting times) was found to be associated with low CBHI coverage. Trust in both the CBHI scheme and healthcare providers were also found to affect enrolment. Educational attainment (less educated are willing to pay less than highly educated), sex (men are willing to pay more than women), age (younger are willing to pay more than older individuals), and household size (larger households are willing to pay more than households with fewer members) also influenced CBHI enrolment.

CONCLUSION

In LMICs, while CBHI schemes may be helpful in the short term to address the issue of improving the rural population and informal workers' access to health services, they still face challenges. Lack of funds, poor quality of care, and lack of trust are major reasons for low CBHI coverage in LMICs. If CBHI schemes are to serve as a means to providing access to health services, at least in the short term, then attention should be paid to the issues that militate against their success.

Willingness to participate and Pay for a proposed national health insurance in St. Vincent and the grenadines: a cross-sectional contingent valuation approach

BACKGROUND

Numerous Caribbean countries are considering implementing National Health Insurance (NHI) and pooling resources to finance their health sectors. Based on this increased interest in health insurance, we investigated the willingness to participate and to pay for NHI in St. Vincent and the Grenadines, an upper-middle-income Caribbean country.

METHODS

Four hundred heads of household in St. Vincent and the Grenadines were interviewed in August 2012 and September 2012. The samples were selected through simple random sampling, including the stratification of rural, semiurban, and urban communities to ensure the representativeness of the sample. A contingent valuation method with a pretested interviewer-led questionnaire was used. Respondents were presented with a hypothetical NHI plan. Chi-squared analysis was performed to identify factors that are associated with the willingness to participate. Multiple logistic regression was used to explore the factors that influence respondents' willingness to pay.

RESULTS

In total, 69.5% (n = 278) of the respondents indicated that they were willing to participate in the proposed NHI plan, of whom 72.3% were willing to pay for the first bid (EC$50). When the bid was reduced to EC$25, all of the remaining respondents who indicated they were willing to participate were willing to pay this lowered bid. Overall, the respondents were willing to pay EC$77.83 (US$28.83) per month for each person to enroll in the NHI plan. Age, income, and having some form of health insurance were significantly associated with a willingness to participate in the plan.

CONCLUSIONS

A higher socioeconomic status was the principal determinant factor for the willingness to participate. This is similar to studies on developing economies. The government can use these findings to guide the successful implementation of the proposed NHI program. People with a lower socioeconomic status must be engaged from the start of and throughout the development process to enhance their understanding of and participation in the plan.

Using a community-based definition of poverty for targeting poor households for premium subsidies in the context of a community health insurance in Burkina Faso

Background

One of the biggest challenges in subsidizing premiums of poor households for community health insurance is the identification and selection of these households. Generally, poverty assessments in developing countries are based on monetary terms. The household is regarded as poor if its income or consumption is lower than a predefined poverty cut-off. These measures fail to recognize the multi-dimensional character of poverty, ignoring community members’ perception and understanding of poverty, leaving them voiceless and powerless in the identification process. Realizing this, the steering committee of Nouna’s health insurance devised a method to involve community members to better define ‘perceived’ poverty, using this as a key element for the poor selection. The community-identified poor were then used to effectively target premium subsidies for the insurance scheme.

Methods

The study was conducted in the Nouna’s Health District located in northwest Burkina Faso. Participants in each village were selected to take part in focus-group discussions (FGD) organized in 41 villages and 7 sectors of Nouna’s town to discuss criteria and perceptions of poverty. The discussions were audio recorded, transcribed and analyzed in French using the software NVivo 9.

Results

From the FGD on poverty and the subjective definitions and perceptions of the community members, we found that poverty was mainly seen as scarcity of basic needs, vulnerability, deprivation of capacities, powerlessness, voicelessness, indecent living conditions, and absence of social capital and community networks for support in times of need. Criteria and poverty groups as described by community members can be used to identify poor who can then be targeted for subsidies.

Conclusion

Policies targeting the poorest require the establishment of effective selection strategies. These policies are well-conditioned by proper identification of the poor people. Community perceptions and criteria of poverty are grounded in reality, to better appreciate the issue. It is crucial to take these perceptions into account in undertaking community development actions which target the poor. For most community-based health insurance schemes with limited financial resources, using a community-based definition of poverty in the targeting of the poorest might be a less costly alternative.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-014-1335-4) contains supplementary material, which is available to authorized users.

Eliciting community preferences for complementary micro health insurance: a discrete choice experiment in rural Malawi

There is a limited understanding of preferences for micro health insurance (MHI) as a strategy for moving towards universal health coverage. Using a discrete choice experiment (DCE), we explored community preferences for the attributes and attribute-levels of a prospective MHI scheme, aimed at filling health coverage gaps in Malawi. Through a qualitative study informed by a literature review, we identified six MHI attributes (and attribute-levels): unit of enrollment, management structure, health service benefit package, copayment levels, transportation coverage, and monthly premium per person. Qualitative data was collected from 12 focus group discussions and 8 interviews in August-September, 2012. We constructed a D-efficient design of eighteen choice-sets, each comprising two MHI choice alternatives and an opt-out. Using pictorial images, trained interviewers administered the DCE in March-May, 2013, to 814 household heads and/or their spouse(s) in two rural districts. We estimated preferences for attribute-levels and relative importance of attributes using conditional and nested logit models. The results showed that all attribute-levels except management by external NGO significantly influenced respondents' choice behavior (P<0.05). These included: enrollment as core nuclear family (odds ratio (OR)=1.1574), extended family (OR=1.1132), compared to individual; management by community committee (OR=0.9494) compared to local micro finance institution; comprehensive health service package (OR=1.4621), medium service package (OR=1.2761), compared to basic service package; no copayment (OR=1.1347), 25% copayment (OR=1.1090), compared to 50% copayment; coverage of all transport (OR=1.5841), referral and emergency transport (OR=1.2610), compared to no transport; and premium (OR=0.9994). The relative importance of attributes is ordered as: transport, health services benefits, enrollment unit, premium, copayment, and management. To maximize consumer utility and encourage community acceptance of MHI, potential MHI schemes should cover transport costs, offer a comprehensive benefit package, define the core family as the unit of enrollment, avoid high copayments, and be managed by a competent financial institution.

Willingness to pay for the social health insurance in Iran

Objective:

The substantial level of out-of-pocket expenditure for health care by the population causes policy makers to draw particular attention to the proposal of a social health insurance for uninsured members of the community. Hence, it is essential to gather reliable information about the amount of Willingness To Pay (WTP) for health insurance. We assessed the WTP for health insurance in Iran in order to suggest an affordable social health insurance.

Method:

The study sample included 300 household heads in all Iranian provinces. The double bounded dichotomous choice approach was used to elicit the WTP.

Result:

The average WTP for social health insurance per person per month was 137 000 Rial (5.5 $US). Household heads with higher levels of education, income and those who worked had more WTP for the health insurance. Besides, the WTP increased in direct proportion to the number of insured members of each household and in inverse proportion to the family size.

Conclusions:

From a policy point of view, the WTP value can be used as a premium in a society. An important finding of this study is that although households’ Willingness To Pay is not more than the total insurance premium, households are willing to pay more than the premium they ought to pay for health insurance coverage. That is, total insurance premium is 150 000 Rials and households ought to pay approximately half of this sum. This can afford policy makers the ideal opportunity to provide good insurance coverage for medical services according to the need of society.

Determinants of health insurance ownership among women in Kenya: evidence from the 2008-09 Kenya demographic and health survey

BACKGROUND

The Government of Kenya is making plans to implement a social health insurance program by transforming the National Hospital Insurance Fund (NHIF) into a universal health coverage program. The objective of this study was to examine the determinants associated with health insurance ownership among women in Kenya.

METHODS

Data came from the 2008-09 Kenya Demographic and Health Survey, a nationally representative survey. The sample comprised 8,435 women aged 15-49 years. Descriptive statistics and multivariable logistic regression analysis were used to describe the characteristics of the sample and to identify factors associated with health insurance ownership.

RESULTS

Being employed in the formal sector, being married, exposure to the mass media, having secondary education or higher, residing in households in the middle or rich wealth index categories and residing in a female-headed household were associated with having health insurance. However, region of residence was associated with a lower likelihood of having insurance coverage. Women residing in Central (OR = 0.4; p < 0.01) and North Eastern (OR = 0.1; p < 0.5) provinces were less likely to be insured compared to their counterparts in Nairobi province.

CONCLUSIONS

As the Kenyan government transforms the NHIF into a universal health program, it is important to implement a program that will increase equity and access to health care services among the poor and vulnerable groups.

Community-based health insurance programmes and the National Health Insurance Scheme of Nigeria: challenges to uptake and integration

BACKGROUND

Nigeria has included a regulated community-based health insurance (CBHI) model within its National Health Insurance Scheme (NHIS). Uptake to date has been disappointing, however. The aim of this study is to review the present status of CBHI in SSA in general to highlight the issues that affect its successful integration within the NHIS of Nigeria and more widely in developing countries.

METHODS

A literature survey using PubMed and EconLit was carried out to identify and review studies that report factors affecting implementation of CBHI in SSA with a focus on Nigeria.

RESULTS

CBHI schemes with a variety of designs have been introduced across SSA but with generally disappointing results so far. Two exceptions are Ghana and Rwanda, both of which have introduced schemes with effective government control and support coupled with intensive implementation programmes. Poor support for CBHI is repeatedly linked elsewhere with failure to engage and account for the 'real world' needs of beneficiaries, lack of clear legislative and regulatory frameworks, inadequate financial support, and unrealistic enrolment requirements. Nigeria's CBHI-type schemes for the informal sectors of its NHIS have been set up under an appropriate legislative framework, but work is needed to eliminate regressive financing, to involve scheme members in the setting up and management of programmes, to inform and educate more effectively, to eliminate lack of confidence in the schemes, and to address inequity in provision. Targeted subsidies should also be considered.

CONCLUSIONS

Disappointing uptake of CBHI-type NHIS elements in Nigeria can be addressed through closer integration of informal and formal programmes under the NHIS umbrella, with increasing involvement of beneficiaries in scheme design and management, improved communication and education, and targeted financial assistance.

Effects of information, education, and communication campaign on a community-based health insurance scheme in Burkina Faso

OBJECTIVE

The study analysed the effect of Information, Education, and Communication (IEC) campaign activities on the adoption of a community-based health insurance (CHI) scheme in Nouna, Burkina Faso. It also identified the factors that enhanced or limited the campaign's effectiveness.

DESIGN

Complementary data collection approaches were used. A survey was conducted with 250 randomly selected household heads, followed by in-depth interviews with 22 purposively selected community leaders, group discussions with the project management team, and field observations. Bivariate analysis and multivariate logistic regression models were used to assess the association between household exposure to campaign and acquisition of knowledge as well as household exposure to campaign and enrolment.

RESULTS

The IEC campaign had a positive effect on households' knowledge about the CHI and to a lesser extent on household enrolment in the scheme. The effectiveness of the IEC strategy was mainly influenced by: (1) frequent and consistent IEC messages from multiple media channels (mass and interpersonal channels), including the radio, a mobile information van, and CHI team, and (2) community heads' participation in the CHI scheme promotion. Education was the only significantly influential socio-demographic determinant of knowledge and enrolment among household heads. The relatively low effects of the IEC campaign on CHI enrolment are indicative of other important IEC mediating factors, which should be taken into account in future CHI campaign evaluation.

CONCLUSION

The study concludes that an IEC campaign is crucial to improving the understanding of the CHI scheme concept, which is an enabler to enrolment, and should be integrated into scheme designs and evaluations.

Does health insurance improve health?: Evidence from a randomized community-based insurance rollout in rural Burkina Faso

From 2004 to 2006, a community-based health insurance (CBI) scheme was rolled out in Nouna District, Burkina Faso, with the objective of improving access to health services and population health. We explore the random timing of the insurance rollout generated by the stepped wedge cluster-randomized design to evaluate the welfare and health impact of the insurance program. Our results suggest that the insurance had limited effects on average out-of-pocket expenditures in the target areas, but substantially reduced the likelihood of catastrophic health expenditure. The introduction of the insurance scheme did not have any effect on health outcomes for children and young adults, but appears to have increased mortality among individuals aged 65 and older. The negative health effects of the program appear to be primarily driven by the adverse provider incentives generated by the scheme and the resulting decline in the quality of care received by patients.

The complex association of health insurance and maternal health services in the context of a premium exemption for pregnant women: a case study in Northern Ghana

BACKGROUND

Health insurance premium exemptions for pregnant women are a strategy to increase coverage of maternal health services in sub-Saharan countries. We examine health insurance registration among pregnant women before or after the introduction of a premium exemption, and test whether registration increases utilization of maternal health services.

METHODS

Data were drawn from a retrospective cohort study of 1641 women having given birth between January 2008 and August 2010 in two impoverished districts of Northern Ghana. Among those, 1411 became pregnant after premium exemption was adopted in July 2008. We compared registration rates before and after the exemption. We used logistic regressions to measure the association between insurance registration and receipt of essential maternal health interventions in the context of the premium exemption. We tested whether this association varied across levels of the health system [e.g. hospitals and health centres (HCs) vs community health compounds (CHC)].

RESULTS

Health insurance registration increased significantly among pregnant women after adoption of the premium exemption. Coverage of clinical and diagnostic services was high, but antenatal care (ANC) clients received only partial counselling about safe motherhood (e.g. pregnancy-related danger signs). Three out of four clients who sought ANC in hospitals and HCs delivered at a health facility vs. slightly more than 50% among clients of CHC. In hospitals and HCs, National Health Insurance Scheme (NHIS) registration was associated with higher quality of services. In CHCs, NHIS registrants received fewer diagnostic tests, were less extensively counselled about safe motherhood and were less likely to be vaccinated against tetanus toxoid than non-registered clients. Among CHCs clients, being a NHIS registrant was however associated with an increased likelihood of delivering at a health facility.

CONCLUSIONS

In the context of premium exemptions, association of health insurance with use of maternal health services, and quality of services received, depends on place where pregnant women seek ANC.

Community-based health insurance knowledge, concern, preferences, and financial planning for health care among informal sector workers in a health district of Douala, Cameroon

Introduction

For the last two decades, promoted by many governments and international number in sub-Saharan Africa. In 2005 in Cameroon, there were only 60 Community-based health insurance (CBHI) schemes nationwide, covering less than 1% of the population. In 2006, the Cameroon government adopted a national strategy aimed at creating at least one CBHI scheme in each health district and covering at least 40% of the population with CBHI schemes by 2015. Unfortunately, there is almost no published data on the awareness and the implementation of CBHI schemes in Cameroon.

Methods

Structured interviews were conducted in January 2010 with 160 informal sectors workers in the Bonassama health district (BHD) of Douala, aiming at evaluating their knowledge, concern and preferences on CBHI schemes and their financial plan to cover health costs.

Results

The awareness on the existence of CHBI schemes was poor awareness schemes among these informal workers. Awareness of CBHI schemes was significantly associated with a high level of education (p = 0.0001). Only 4.4% of respondents had health insurance, and specifically 1.2% were involved in a CBHI scheme. However, 128 (86.2%) respondents thought that belonging to a CBHI scheme could facilitate their access to adequate health care, and were thus willing to be involved in CBHI schemes. Our respondents would have preferred CBHI schemes run by missionaries to CBHI schemes run by the government or people of the same ethnic group (p).

Conclusion

There is a very low participation in CBHI schemes among the informal sector workers of the BHD. This is mainly due to the lack of awareness and limited knowledge on the basic concepts of a CBHI by this target population. Solidarity based community associations to which the vast majority of this target population belong are prime areas for sensitization on CBHI schemes. Hence these associations could possibly federalize to create CBHI schemes.

Does enrollment status in community-based insurance lead to poorer quality of care? Evidence from Burkina Faso

INTRODUCTION

In 2004, a community-based health insurance (CBI) scheme was introduced in Nouna health district, Burkina Faso, with the objective of improving financial access to high quality health services. We investigate the role of CBI enrollment in the quality of care provided at primary-care facilities in Nouna district, and measure differences in objective and perceived quality of care and patient satisfaction between enrolled and non-enrolled populations who visit the facilities.

METHODS

We interviewed a systematic random sample of 398 patients after their visit to one of the thirteen primary-care facilities contracted with the scheme; 34% (n = 135) of the patients were currently enrolled in the CBI scheme. We assessed objective quality of care as consultation, diagnostic and counselling tasks performed by providers during outpatient visits, perceived quality of care as patient evaluations of the structures and processes of service delivery, and overall patient satisfaction. Two-sample t-tests were performed for group comparison and ordinal logistic regression (OLR) analysis was used to estimate the association between CBI enrollment and overall patient satisfaction.

RESULTS

Objective quality of care evaluations show that CBI enrollees received substantially less comprehensive care for outpatient services than non-enrollees. In contrast, CBI enrollment was positively associated with overall patient satisfaction (aOR = 1.51, p = 0.014), controlling for potential confounders such as patient socio-economic status, illness symptoms, history of illness and characteristics of care received.

CONCLUSIONS

CBI patients perceived better quality of care, while objectively receiving worse quality of care, compared to patients who were not enrolled in CBI. Systematic differences in quality of care expectations between CBI enrollees and non-enrollees may explain this finding. One factor influencing quality of care may be the type of provider payment used by the CBI scheme, which has been identified as a leading factor in reducing provider motivation to deliver high quality care to CBI enrollees in previous studies. Based on this study, it is unlikely that perceived quality of care and patient satisfaction explain the low CBI enrollment rates in this community.

Using respondents' uncertainty scores to mitigate hypothetical bias in community-based health insurance studies

Community-based health insurance has been implemented in several developing countries to help the poor to gain access to adequate health-care services. Assessing what the poor are willing to pay is of paramount importance for policymaking. The contingent valuation method, which relies on a hypothetical market, is commonly used for this purpose. But the presence of the hypothetical bias that is most often inherent in this method tends to bias the estimates upward and compromises policymaking. This paper uses respondents' uncertainty scores in an attempt to mitigate hypothetical bias in community-based health insurance in one rural setting in Cameroon. Uncertainty scores are often employed in single dichotomous choice surveys. An originality of the paper is to use such an approach in a double-bounded dichotomous choice survey. The results suggest that this instrument is effective at decreasing the mean WTP.

Determinants of household direct and indirect costs: an insight for health-seeking behaviour in Burkina Faso

The objective of the study is to identify the determinants of household direct and indirect costs in the Nouna District, Burkina Faso. The data used were from a household survey conducted during 2000-2001. The multinominal logit models were applied to investigate the determinants of direct and indirect costs. The respondents who were sick in the rainy season and severity of illness significantly increased the probability of having high direct and indirect household costs. Acute illness occured in an adult was positively associated with magnitude of household indirect costs. Household economic status and utilization of western medical care played an important role in magnitude of direct cost. The information on determinants of household direct and indirect costs is necessary in order to get a complete picture of household costs for seeking health care and identification of vulnerable social groups and households.

Social solidarity and willingness to tolerate risk- and income-related cross-subsidies within health insurance: experiences from Ghana, Tanzania and South Africa

The importance of ill-health in perpetuating poverty is well recognized. In order to prevent the damaging downward spiral of poverty and illness, there is a need for a greater level of social protection, with greater cross-subsidization between the poor and wealthy, and the healthy and those with ill-health. The aim of this paper is to examine individual preferences for willingness to pre-pay for health care and willingness to cross-subsidize the sick and the poor in Ghana, South Africa and Tanzania. Household surveys in the three countries elicited views on cross-subsidization within health care financing. The paper examines how these preferences varied by socio-economic status, other respondent characteristics, and the extent and type of experience of health insurance in the light of country context. In South Africa and Ghana, 62% and 55% of total respondents, respectively, were in favour of a progressive financing system in which richer groups would pay a higher proportion of income than poorer groups, rather than a system where individuals pay the same proportion of income irrespective of their wealth (proportional). In Tanzania, 45% of the total sample were willing to pay for the health care of the poor. However, in all three countries, a progressive system was favoured by a smaller proportion of the most well off than of less well off groups. Solidarity has been considered to be a collective property of a specific socio-political culture, based on shared expectations and developed as part of a communal, historical learning process. The three countries had different experiences of health insurance and this may have contributed to the above differences in expressed willingness to pay between countries. Building and 'living with' institutions that provide affordable universal coverage is likely to be an essential part of the learning process which supports the development of social solidarity.

Assessing effectiveness of a community based health insurance in rural Burkina Faso

Background

Financial barriers are a recognized major bottleneck of access and use of health services. The aim of this study was to assess effectiveness of a community based health insurance (CBHI) scheme on utilization of health services as well as on mortality and morbidity.

Methods

Data were collected from April to December 2007 from the Nouna’s Demographic Surveillance System on overall mortality, utilization of health services, household characteristics, distance to health facilities, membership in the Nouna CBHI. We analyzed differentials in overall mortality and selected maternal health process measures between members and non-members of the insurance scheme.

Results

After adjusting for covariates there was no significant difference in overall mortality between households who could not have been members (because their area was yet to be covered by the stepped-wedged scheme), non-members but whose households could have been members (areas covered but not enrolled), and members of the insurance scheme. The risk of overall mortality increased significantly with distance to health facility (35% more outside Nouna town) and with education level (37% lower when at least primary school education achieved in households).

Conclusion

There was no statistically significant difference in overall mortality between members and non-members. The enrolment rates remain low, with selection bias. It is important that community based health insurances, exemptions fees policy and national health insurances be evaluated on prevention of deaths and severe morbidities instead of on drop-out rates, selection bias, adverse selection and catastrophic payments for health care only. Effective social protection will require national health insurance.

Illness Mapping: a time and cost effective method to estimate healthcare data needed to establish community-based health insurance

Background

Most healthcare spending in developing countries is private out-of-pocket. One explanation for low penetration of health insurance is that poorer individuals doubt their ability to enforce insurance contracts. Community-based health insurance schemes (CBHI) are a solution, but launching CBHI requires obtaining accurate local data on morbidity, healthcare utilization and other details to inform package design and pricing. We developed the “Illness Mapping” method (IM) for data collection (faster and cheaper than household surveys).

Methods

IM is a modification of two non-interactive consensus group methods (Delphi and Nominal Group Technique) to operate as interactive methods. We elicited estimates from “Experts” in the target community on morbidity and healthcare utilization. Interaction between facilitator and experts became essential to bridge literacy constraints and to reach consensus.

The study was conducted in Gaya District, Bihar (India) during April-June 2010. The intervention included the IM and a household survey (HHS). IM included 18 women’s and 17 men’s groups. The HHS was conducted in 50 villages with1,000 randomly selected households (6,656 individuals).

Results

We found good agreement between the two methods on overall prevalence of illness (IM: 25.9% ±3.6; HHS: 31.4%) and on prevalence of acute (IM: 76.9%; HHS: 69.2%) and chronic illnesses (IM: 20.1%; HHS: 16.6%). We also found good agreement on incidence of deliveries (IM: 3.9% ±0.4; HHS: 3.9%), and on hospital deliveries (IM: 61.0%. ± 5.4; HHS: 51.4%). For hospitalizations, we obtained a lower estimate from the IM (1.1%) than from the HHS (2.6%). The IM required less time and less person-power than a household survey, which translate into reduced costs.

Conclusions

We have shown that our Illness Mapping method can be carried out at lower financial and human cost for sourcing essential local data, at acceptably accurate levels. In view of the good fit of results obtained, we assume that the method could work elsewhere as well.

Adverse selection in a community-based health insurance scheme in rural Africa: implications for introducing targeted subsidies

Background

Although most community-based health insurance (CBHI) schemes are voluntary, problem of adverse selection is hardly studied. Evidence on the impact of targeted subsidies on adverse selection is completely missing. This paper investigates adverse selection in a CBHI scheme in Burkina Faso. First, we studied the change in adverse selection over a period of 4 years. Second, we studied the effect of targeted subsidies on adverse selection.

Methods

The study area, covering 41 villages and 1 town, was divided into 33 clusters and CBHI was randomly offered to these clusters during 2004–06. In 2007, premium subsidies were offered to the poor households. The data was collected by a household panel survey 2004–2007 from randomly selected households in these 33 clusters (n = 6795). We applied fixed effect models.

Results

We found weak evidence of adverse selection before the implementation of subsidies. Adverse selection significantly increased the next year and targeted subsidies largely explained this increase.

Conclusions

Adverse selection is an important concern for any voluntary health insurance scheme. Targeted subsidies are often used as a tool to pursue the vision of universal coverage. At the same time targeted subsidies are also associated with increased adverse selection as found in this study. Therefore, it’s essential that targeted subsidies for poor (or other high-risk groups) must be accompanied with a sound plan to bridge the financial gap due to adverse selection so that these schemes can continue to serve these populations.

Health worker preferences for community-based health insurance payment mechanisms: a discrete choice experiment

Background

In 2004, a community-based health insurance scheme (CBI) was introduced in Nouna health district, Burkina Faso. Since its inception, coverage has remained low and dropout rates high. One important reason for low coverage and high dropout is that health workers do not support the CBI scheme because they are dissatisfied with the provider payment mechanism of the CBI.

Methods

A discrete choice experiment (DCE) was used to examine CBI provider payment attributes that influence health workers’ stated preferences for payment mechanisms. The DCE was conducted among 176 health workers employed at one of the 34 primary care facilities or the district hospital in Nouna health district. Conditional logit models with main effects and interactions terms were used for analysis.

Results

Reimbursement of service fees (adjusted odds ratio (aOR) 1.49, p < 0.001) and CBI contributions for medical supplies and equipment (aOR 1.47, p < 0.001) had the strongest effect on whether the health workers chose a given provider payment mechanism. The odds of selecting a payment mechanism decreased significantly if the mechanism included (i) results-based financing (RBF) payments made through the local health management team (instead of directly to the health workers (aOR 0.86, p < 0.001)) or (ii) RBF payments based on CBI coverage achieved in the health worker’s facility relative to the coverage achieved at other facilities (instead of payments based on the numbers of individuals or households enrolled at the health worker’s facility (aOR 0.86, p < 0.001)).

Conclusions

Provider payment mechanisms can crucially determine CBI performance. Based on the results from this DCE, revised CBI payment mechanisms were introduced in Nouna health district in January 2011, taking into consideration health worker preferences on how they are paid.

Determinants for participation in a public health insurance program among residents of urban slums in Nairobi, Kenya: results from a cross-sectional survey

BACKGROUND

The government of Kenya is making plans to implement a social health insurance program by transforming the National Hospital Insurance Fund (NHIF) into a universal health coverage program. This paper examines the determinants associated with participation in the NHIF among residents of urban slums in Nairobi city.

METHODS

The study used data from the Nairobi Urban Health and Demographic Surveillance System in two slums in Nairobi city, where a total of about 60,000 individuals living in approximately 23,000 households are under surveillance. Descriptive statistics and multivariate logistic regression analysis were used to describe the characteristics of the sample and to identify factors associated with participation in the NHIF program.

RESULTS

Only 10% of the respondents were participating in the NHIF program, while less than 1% (0.8%) had private insurance coverage. The majority of the respondents (89%) did not have any type of insurance coverage. Females were more likely to participate in the NHIF program (OR = 2.4; p < 0.001), while respondents who were formerly in a union (OR = 0.5; p < 0.05) and who were never in a union (OR = 0.6; p < 0.05) were less likely to have public insurance coverage. Respondents working in the formal employment sector (OR = 4.1; p < 0.001) were more likely to be enrolled in the NHIF program compared to those in the informal sector. Membership in microfinance institutions such as savings and credit cooperative organizations (SACCOs) and community-based savings and credit groups were important determinants of access to health insurance.

CONCLUSIONS

The proportion of slum residents without any type of insurance is high, which underscores the need for a social health insurance program to ensure equitable access to health care among the poor and vulnerable segments of the population. As the Kenyan government moves toward transforming the NHIF into a universal health program, it is important to harness the unique opportunities offered by both the formal and informal microfinance institutions in improving health care capacity by considering them as viable financing options within a comprehensive national health financing policy framework.

Does community-based health insurance protect household assets? Evidence from rural Africa

OBJECTIVE

To evaluate whether community-based health insurance (CBHI) protects household assets in rural Burkina Faso, Africa.

DATA SOURCES

Data were used from a household panel survey that collected primary data from randomly selected households, covering 41 villages and one town, during 2004-2007(n = 890).

STUDY DESIGN

The study area was divided into 33 clusters and CBHI was randomly offered to these clusters during 2004-2006. We applied different strategies to control for selection bias-ordinary least squares with covariates, two-stage least squares with instrumental variable, and fixed-effects models.

DATA COLLECTION

Household members were interviewed in their local language every year, and information was collected on demographic and socio-economic indicators including ownership of assets, and on self-reported morbidity.

PRINCIPAL FINDINGS

Fixed-effects and ordinary least squares models showed that CBHI protected household assets during 2004-2007. The two-stage least squares with instrumental variable model showed that CBHI increased household assets during 2004-2005.

CONCLUSIONS

In this study, we found that CBHI has the potential to not only protect household assets but also increase household assets. However, similar studies from developing countries that evaluate the impact of health insurance on household economic indicators are needed to benchmark these results with other settings.

The Health and Demographic Surveillance System (HDSS) in Nouna, Burkina Faso, 1993-2007

The Nouna Health and Demographic Surveillance System (HDSS) is located in rural Burkina Faso and has existed since 1992. Currently, it has about 78,000 inhabitants. It is a member of the International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), a global network of members who conducts longitudinal health and demographic evaluation of populations in low- and middle-income countries. The health facilities consist of one hospital and 13 basic health centres (locally known as CSPS). The Nouna HDSS has been used as a sampling frame for numerous studies in the fields of clinical research, epidemiology, health economics, and health systems research. In this paper we review some of the main findings, and we describe the effects that almost 20 years of health research activities have shown in the population in general and in terms of the perception, economic implications, and other indicators. Longitudinal data analyses show that childhood, as well as overall mortality, has significantly decreased over the observation period 1993–2007. The under-five mortality rate dropped from about 40 per 1,000 person-years in the mid-1990s to below 30 per 1,000 in 2007. Further efforts are needed to meet goal four of the Millennium Development Goals, which is to reduce the under-five mortality rate by two-thirds between 1990 and 2015.

Willingness to pay for maternal health outcomes: are women willing to pay more than men?

BACKGROUND

Only a limited number of studies have specifically sought to analyse and try to understand sex differences in willingness to pay (WTP).

OBJECTIVE

To identify the role of sex in determining monetary values placed upon improvements in maternal health in Burkina Faso, West Africa.

METHODS

A contingent valuation survey using the bidding game method was conducted in the district of Nouna in 2005; a sample of 409 male heads of households and their spouses were asked their WTP for a reduction in the number of maternal deaths in the Nouna area. Ordinary least squares regression analysis was employed to examine the determinants of WTP.

RESULTS

Men were willing to pay significantly more than women (3127 vs 2273 West African francs), although this represented a significantly smaller proportion of their annual income (4% vs 11%). In the multivariate analyses of all respondents there was a significant positive relationship between WTP values and both starting bid and whether there had been a previous maternal complication in the respondent's household. However, there was a significant negative relationship between WTP and female sex. Once interactions between sex and income were taken into account, income did affect valuations, with a positive relationship between higher-income women and WTP values.

CONCLUSION

In absolute terms, men were willing to pay more than women, while women were willing to pay a greater proportion of their income. Differences between men and women in their WTP, both in absolute terms and in terms of proportion of income, can be explained by a household effect. Future studies should distinguish between individual income and command over decision making with respect to use of individual and household income, and gain further insight into the strategies used by respondents in answering bidding game questions.

The effect of protest zeros on estimates of willingness to pay in healthcare contingent valuation analysis

'Protest zeros' occur when respondents reject some aspect of the contingent valuation (CV) market scenario by reporting a zero value even though they place a positive value on the amenity being valued. This is inevitable even in the best-designed CV study, and, when excluded on an ad hoc basis, may cause a selection bias problem. This could affect the reliability of the willingness to pay (WTP) estimates obtained for preference assessment. Treatment of 'protest zeros' in general, and particularly in the context of developing countries, has been rather unsatisfactory. Most case studies employ the Heckman 2-step approach, which is much less robust to co-linearity problems than the Full Information Maximum Likelihood (FIML) estimator. The main objective of this article is to illustrate a sequential procedure to simultaneously deal with co-linearity and selectivity bias resulting from excluding 'protest zeros' in CV analysis. The sequential procedure involves different levels of estimation and diagnostics with the 2-step and FIML estimators; the duration of the procedure depends on the diagnostic test results at each stage of the estimations. The data used for the analysis were elicited using the conventional dichotomous choice buttressed with an open-ended follow-up question. The survey was designed to elicit households' WTP for a proposed community-based malaria control scheme in rural Cameroon. In the application context, we found that the different levels of estimation and diagnostics resulted in reliable WTP estimates from the FIML approach, which would obviously have been overlooked in the absence of such diagnostics.

A game of two halves? Incentive incompatibility, starting point bias and the bidding game contingent valuation method

The bidding game (BG) method of contingent valuation is one way to increase the precision of willingness to pay (WTP) estimates relative to the single dichotomous choice approach. However, there is evidence that the method may lead to incentive incompatible responses and be associated with starting point bias. While previous studies in health using BGs test for starting point bias, none have also investigated incentive incompatibility. Using a sample of respondents resident in Burkina Faso, West Africa, this paper examines whether the BG method is associated with both incentive incompatibility and starting point bias. We find evidence for both effects. However, average WTP values remained largely unaffected after accounting for both factors in multivariate analyses. The results suggest that the BG method is an acceptable technique in settings where prices for goods are flexible.

Medicines coverage and community-based health insurance in low-income countries

OBJECTIVES

The 2004 International Conference on Improving Use of Medicines recommended that emerging and expanding health insurances in low-income countries focus on improving access to and use of medicines. In recent years, Community-based Health Insurance (CHI) schemes have multiplied, with mounting evidence of their positive effects on financial protection and resource mobilization for healthcare in poor settings. Using literature review and qualitative interviews, this paper investigates whether and how CHI expands access to medicines in low-income countries.

METHODS

We used three complementary data collection approaches: (1) analysis of WHO National Health Accounts (NHA) and available results from the World Health Survey (WHS); (2) review of peer-reviewed articles published since 2002 and documents posted online by national insurance programs and international organizations; (3) structured interviews of CHI managers about key issues related to medicines benefit packages in Lao PDR and Rwanda.

RESULTS

In low-income countries, only two percent of WHS respondents with voluntary insurance belong to the lowest income quintile, suggesting very low CHI penetration among the poor. Yet according to the WHS, medicines are the largest reported component of out-of-pocket payments for healthcare in these countries (median 41.7%) and this proportion is inversely associated with income quintile. Publications have mentioned over a thousand CHI schemes in 19 low-income countries, usually without in-depth description of the type, extent, or adequacy of medicines coverage. Evidence from the literature is scarce about how coverage affects medicines utilization or how schemes use cost-containment tools like co-payments and formularies. On the other hand, interviews found that medicines may represent up to 80% of CHI expenditures.

CONCLUSION

This paper highlights the paucity of evidence about medicines coverage in CHI. Given the policy commitment to expand CHI in several countries (e.g. Rwanda, Lao PDR) and the potential of CHI to improve medicines access and use, systematic research is needed on medicine benefits and their performance, including the impacts of CHI on access to, affordability, and use of medicines at the household level.

Step-wedge cluster-randomised community-based trials: an application to the study of the impact of community health insurance

Background

We describe a step-wedge cluster-randomised community-based trial which has been conducted since 2003 to accompany the implementation of a community health insurance (CHI) scheme in West Africa. The trial aims at overcoming the paucity of evidence-based information on the impact of CHI. Impact is defined in terms of changes in health service utilisation and household protection against the cost of illness. Our exclusive focus on the description and discussion of the methods is justified by the fact that the study relies on a methodology previously applied in the field of disease control, but never in the field of health financing.

Methods

First, we clarify how clusters were defined both in respect of statistical considerations and of local geographical and socio-cultural concerns. Second, we illustrate how households within clusters were sampled. Third, we expound the data collection process and the survey instruments. Finally, we outline the statistical tools to be applied to estimate the impact of CHI.

Conclusion

We discuss all design choices both in relation to methodological considerations and to specific ethical and organisational concerns faced in the field. On the basis of the appraisal of our experience, we postulate that conducting relatively sophisticated trials (such as our step-wedge cluster-randomised community-based trial) aimed at generating sound public health evidence, is both feasible and valuable also in low income settings. Our work shows that if accurately designed in conjunction with local health authorities, such trials have the potential to generate sound scientific evidence and do not hinder, but at times even facilitate, the implementation of complex health interventions such as CHI.

People's willingness to pay for health insurance in rural Vietnam

Background

The inequity caused by health financing in Vietnam, which mainly relies on out-of-pocket payments, has put pre-payment reform high on the political agenda. This paper reports on a study of the willingness to pay for health insurance among a rural population in northern Vietnam, exploring whether the Vietnamese are willing to pay enough to sufficiently finance a health insurance system.

Methods

Using the Epidemiological Field Laboratory for Health Systems Research in the Bavi district (FilaBavi), 2070 households were randomly selected for the study. Existing FilaBavi interviewers were trained especially for this study. The interview questionnaire was developed through a pilot study followed by focus group discussions among interviewers. Determinants of households' willingness to pay were studied through interval regression by which problems such as zero answers, skewness, outliers and the heaping effect may be solved.

Results

Households' average willingness to pay (WTP) is higher than their costs for public health care and self-treatment. For 70–80% of the respondents, average WTP is also sufficient to pay the lower range of premiums in existing health insurance programmes. However, the average WTP would only be sufficient to finance about half of total household public, as well as private, health care costs. Variables that reflect income, health care need, age and educational level were significant determinants of households' willingness to pay. Contrary to expectations, age was negatively related to willingness to pay.

Conclusion

Since WTP is sufficient to cover household costs for public health care, it depends to what extent households would substitute private for public care and increase utilization as to whether WTP would also be sufficient enough to finance health insurance. This study highlights potential for public information schemes that may change the negative attitude towards health insurance, which this study has uncovered. A key task for policy makers is to win the trust of the population in relation to a health insurance system, particularly among the old and those with relatively low education.

The differences in characteristics between health-care users and non-users: implication for introducing community-based health insurance in Burkina Faso

The purposes of this study are to describe the characteristics of different health-care users, to explain such characteristics using a health demand model and to estimate the price-related probability change for different types of health care in order to provide policy guidance for the introduction of community-based health insurance (CBI) in Burkina Faso. Data were collected from a household survey using a two stage cluster sampling approach. Household interviews were carried out during April and May 2003. In the interviewed 7,939 individuals in 988 households, there were 558 people reported one or more illness episodes; two-thirds of these people did not seek professional care. Health care non-users display lower household income and expenditure, older age and lower perceived severity of disease. The main reason for choosing no-care and self-care was 'not enough money'. Multinomial logistic regression confirms these observations. Higher household cash-income, higher perceived severity of disease and acute disease significantly increased the probability of using western care. Older age and higher price-cash income ratio significantly increased the probability of no-care or self-care. If CBI were introduced the probability of using western care would increase by 4.33% and the probability of using self-care would reduce by 3.98%. The price-related probability change of using western care for lower income people is higher than for higher income although the quantity changed is relatively small. In conclusion, the introduction of CBI might increase the use of medical services, especially for the poor. Co-payment for the rich might be necessary. Premium adjusted for income or subsidies for the poor can be considered in order to absorb a greater number of poor households into CBI and further improve equity in terms of enrollment. However, the role of CBI in Burkina Faso is rather limited: it might only increase utilisation of western health care by a probability of 4%.

Willingness to pay for social health insurance among informal sector workers in Wuhan, China: a contingent valuation study

Background

Most of the about 140 million informal sector workers in urban China do not have health insurance. A 1998 central government policy leaves it to the discretion of municipal governments to offer informal sector workers in cities voluntary participation in a social health insurance for formal sector workers, the so-called 'basic health insurance' (BHI).

Methods

We used the contingent valuation method to assess the maximum willingness to pay (WTP) for BHI among informal sector workers, including unregistered rural-to-urban migrants, in Wuhan City, China. We selected respondents in a two-stage self-weighted cluster sampling scheme.

Results

On average, informal sector workers were willing to pay substantial amounts for BHI (30 Renminbi (RMB), 95% confidence interval (CI) 27-33) as well as substantial proportions of their incomes (4.6%, 95% CI 4.1-5.1%). Average WTP increased significantly when any one of the copayments of the BHI was removed in the valuation: to 51 RMB (95% CI 46-56) without reimbursement ceiling; to 43 RMB (95% CI 37-49) without deductible; and to 47 RMB (95% CI 40-54) without coinsurance. WTP was higher than estimates of the cost of BHI based on past health expenditure or on premium contributions of formal sector workers. Predicted coverage with BHI declined steeply with the premium contribution at low contribution levels.

When we applied equity weighting in the aggregation of individual WTP values in order to adjust for inequity in the distribution of income, mean WTP for BHI increased with inequality aversion over a plausible range of the aversion parameter. Holding other factors constant in multiple regression analysis, for a 1% increase in income WTP for BHI with different copayments increased by 0.434-0.499% (all p < 0.0001), and for a 1% increase in past health care expenditure WTP increased by 0.076-0.148% (all p < 0.0004). Being male, a migrant, or without permanent employment significantly decreased WTP for BHI. Education was not a significant determinant of WTP for BHI.

Conclusion

Our results suggest that Chinese municipal governments should allow informal sector workers to participate in the BHI. From a normative perspective, BHI for informal sector workers is likely to increase social welfare because average WTP for BHI is significantly higher than estimates of the average cost of BHI. We further find that informal sector workers do not value the BHI as a mechanism to recover the relatively frequent but small financial losses associated with common illnesses, but because it protects against the rare but large financial losses associated with catastrophic care. From a behavioural perspective, our results predict that at a price equal to the average premium contribution of formal sector workers 35% of informal sector workers will enrol in the BHI. Subsidies and changes in insurance attributes (e.g. including catastrophic care and portability) should be effective in increasing BHI coverage. In addition, coverage should expand with rising incomes among informal sector workers in China. Finally, adverse selection will be unlikely to be a large problem, if the BHI is offered to informal sector workers.

Health insurance benefit packages prioritized by low-income clients in India: three criteria to estimate effectiveness of choice

We applied a decision tool for rationing choices, with a predetermined budget of about 11 US dollars per household per year, to identify priorities of poor people regarding health insurance benefits in India in late 2005. A total of 302 individuals, organized in 24 groups, participated from a number of villages and neighborhoods of towns in Karnataka and Maharashtra. Many individuals were illiterate, innumerate and without insurance experience. Involving clients in insurance package design is based on an implied assumption that people can make judicious rationing decisions. Judiciousness was assessed by examining the association between the frequency of choosing a package and its perceived effectiveness. Perceived effectiveness was evaluated by comparing respondents' choices to the costs registered in 2049 illness episodes among a comparable cohort, using three criteria: 'reimbursement' (reimbursement regardless of the absolute level of expenditure), 'fairness' (higher reimbursement rate for higher expenses) and 'catastrophic coverage' (insurance for catastrophic exposure). The most frequently chosen packages scored highly on all three criteria; thus, rationing choices were confirmed as judicious. Fully 88.4% of the respondents selected at least three of the following benefits: outpatient, inpatient, drugs and tests, with a clear preference to cover high aggregate costs regardless of their probability. The results show that involving prospective clients in benefit package design can be done without compromising the judiciousness of rationing choices, even with people who have low education, low-income and no previous experience in similar exercises.

Willingness to pay for health insurance among rural and poor persons: field evidence from seven micro health insurance units in India

This study, conducted in India in 2005, provides evidence on Willingness to pay (WTP), gathered through a unidirectional (descending) bidding game among 3024 households (HH) in seven locations where micro health insurance units are in operation. Insured persons reported slightly higher WTP values than uninsured. About two-thirds of the sample agreed to pay at least 1%; about half the sample was willing to pay at least 1.35%; 30% was willing to pay about 2.0% of annual HH income as health insurance premium. Nominal WTP correlates positively with income but relative WTP (expressed as percent of HH income) correlates negatively. The correlation between WTP and education is secondary to that of WTP with HH income. Household composition did not affect WTP. However, HHs that experienced a high-cost health event and male respondents reported slightly higher WTP. The observed nominal levels of WTP are higher than has been estimated hitherto.

Determinants of household health expenditure on western institutional health care

We try to identify determinants of illness reporting, provider choice and resulting expenditure with different econometric models using data from a representative household panel survey of 800 households in Nouna health district, Burkina Faso, during 2000-2001. The factors "being an adult", "married", "illness occurred in rainy season" and "severe illness" significantly increased the magnitude of health expenditure. Compared to malaria, individuals spent more on other infectious diseases, injury and the other disease category. In contrast, people were less likely to spend on chronic illness. An individual who belonged to a household headed by a female, a literate household head and with a higher household expenditure had a significantly positive association with the magnitude of expenditure. Findings from this study can be used for policy implication to improve health system performance in Burkina Faso through enhancing health care utilization.