Community-based health insurance programmes and the national health insurance scheme of Nigeria: challenges to uptake and integration
© Odeyemi; licensee BioMed Central Ltd. 2014
Received: 17 July 2013
Accepted: 7 February 2014
Published: 21 February 2014
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.
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.
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.
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.
KeywordsCommunity-Based Health Insurance CBHI Healthcare National Health Insurance Scheme NHIS Sub-Saharan Africa Nigeria
Universal healthcare coverage (UHC) has been difficult to achieve in many developing countries, with large populations remaining over-reliant on direct (out-of-pocket, OOP) expenses that include over-the-counter payments for medicines and fees for consultations and procedures . The World Health Organization (WHO) views medical fees as a significant obstacle to healthcare coverage and utilisation, and has stated that the only way to reduce reliance on direct payments is for governments to encourage the risk-pooling prepayment approach . In this environment, community-based health insurance (CBHI) has emerged as an alternative to user fees. CBHI schemes are designed to ensure that sufficient resources are made available for members to access effective health care . Contributions are accumulated and managed to spread the risk of payment for health care among all scheme members, although CBHI is known to be particularly vulnerable to adverse selection, where disproportionate enrolment by high risk contributors accompanies non-participation by low risk individuals [2, 3].
There are various forms of CBHI, including mutual health organisations, medical aid societies and micro-insurance schemes. All are voluntary and apply the basic principle of risk sharing . Unfortunately, some CBHI schemes operating in sub-Saharan Africa (SSA), including that of Nigeria, have been hampered by low enrolment rates, limited resource mobilisation and poor sustainability .
Health care provision in Nigeria is the responsibility of the three tiers of government, with the university teaching hospitals and federal medical centres (tertiary health care) being run by the federal government, while state governments manage general hospitals, and local government focuses on dispensaries (which are regulated by the federal government through National Primary Health Care Development Agency, or NPHCDA) . Although expenditure on health rose from 12.5 million Nigerian naira in 1970 to 98.2 million in 2008, the healthcare system remains inefficient . After independence in 1962, the Nigerian government was able to use oil revenues and general taxation to fund universal free health care mainly via public facilities . However, the global slump in oil prices during the 1980s, coupled with economic and political instability and the general poor state of Nigeria’s health services, led to the need to rebuild Nigeria’s health infrastructure . In May 1999 the Nigerian government created the National Health Insurance Scheme (NHIS), with formal enabling of private sector participation to reflect Nigeria’s operation of a mixed economy and to correct the previous poor integration of private health facilities [5, 6]. Although the enabling law was signed in 1999, Nigeria’s NHIS did not in fact become fully operational until 2005 .
The Nigerian NHIS is an agency under the Nigerian Federal Ministry of Health and consists of three main programmes: one formal and two informal [6, 8, 9]. The Formal Sector Social Health Insurance Programme (FSSHIP) covers public employees and the organised private sector, and is implemented via a managed care model funded through percentage contributions from employers and employees. It is mandatory for organisations with ten or more employees [6, 8, 9]. The two other schemes, the Urban Self-Employed Social Health Insurance Programme (USSHIP) and The Rural Community Social Health Insurance Programme (RCSHIP) are outside the formal sector and are non-profit voluntary schemes based on the CBHI model. Revenue is generated for the USSHIP by flat-rate monthly payments with contributions dependent on the health package chosen, whereas RCSHIP members acquire accreditation according to their health needs and then choose benefits, with cash contributions being made as flat-rate monthly payments or in instalments.
Financing is not linked to ability to pay for either the USSHIP or RCSHIP, both require high levels of self-management, and benefit packages are not fully comprehensive [6, 9]. Enrolment has been disappointing, with around 5 million people in all three NHIS programmes (~3% of the population) [7, 8]. Nevertheless, the Executive Secretary of the NHIS, Dr Martins Olufemi Thomas, has recently assured Nigerians of his determination to attain the president’s target of 30% coverage by 2015 . The need for equitable health care that responds to the needs of the people of Nigeria has been highlighted recently by a cross-sectional study of the semi-urban Samaru community that showed over a quarter of families having difficulty settling their medical bills . Catastrophic health expenditure was shown by the need to sell assets or borrow money, or even to resort to begging.
Equity of healthcare access in Nigeria has been discussed recently , and the present review therefore focuses on ways in which participation in the CBHI elements of the Nigerian healthcare system might be improved. The aim of this study is to provide an overview of the present status of CBHI in Nigeria and other countries in SSA to identify and summarise the issues that affect the successful implementation and sustainability of these programmes. The experience of CBHI in other countries will then be drawn upon to make recommendations for improving the uptake and sustainability of CBHI in the informal sector in Nigeria.
Searches of PubMed and EconLit were undertaken using the search string (Community-based health insurance OR Community health insurance) AND (Nigeria OR Ghana OR developing countries OR Senegal OR Rwanda OR Cameroon OR Africa OR Uganda OR Kenya OR Tanzania OR Guinea) NOT India. Criteria for inclusion were that papers should report analyses of CBHI uptake and policy implications that were informative in identifying barriers to enrolment and sustainability. Meta-analyses and authoritative reviews on the subject were also included. Other relevant sources that were utilised for key demographic, health and economic data included principally websites of organisations such as the World Health Organization (WHO), official government NHIS websites of countries of interest, the World Bank and the Center for Health Market Innovations.
Although papers detailing research in Asian countries were not included in the main analysis, points of interest from the Asian experience of CBHI that became apparent during the literature review are briefly covered in the discussion to increase the generalisability of the findings.
Analysis of data
Papers were selected with the assistance of an independent expert (JN). We accepted literature that dealt specifically with CBHI schemes based on the model of voluntary participation and the concept of risk pooling, and that set out to analyse factors contributing to recruitment and retention. We also included relevant reviews and discussion papers, and official or policy documents that dealt with reasons for and potential solutions to difficulties with CBHI enrolment. To aid with selection, papers were tabulated in a spreadsheet and ordered by country and classified as studies, reviews or other. After sorting and obtaining full copies of the papers selected, we examined each publication for information on factors relevant to the success or otherwise of CBHI schemes, with particular emphasis on observations recurring across different countries. Positive and negative contributors to successful CBHI implementation that had been identified were then tabulated with a listing of countries where these factors had been noted. The observations were used to formulate recommendations for policy decisions with the potential to improve uptake in Nigeria and other countries where progress with CBHI has been poor.
Literature search findings
Type of paper
Main findings pertinent to the present analysis
Adinma, 2010 
Descriptive cross-sectional study with interventional component carried out in 120 women of reproductive age at Obionu Health Centre, Igboukwu
Benefit shown for integration of maternal health services into CBHI schemes
Dienye, 2011 
Questionnaire cross-sectional survey of 229 surgical patients who consented to the study
Patients paid for care mostly with personal savings; most were unaware of the NHIS. When informed, 84.3% were willing to enrol. Information must be disseminated to promote acceptance of CBHI in rural areas
Onwujekwe, 2010 
Questionnaire survey of 3070 households selected by simple random sampling. Contingent valuation was used to determine WTP using the bidding game format. Correlations between socioeconomic status and geographic locations with WTP were investigated. Log-ordinary least squares was used to examine the construct validity of elicited WTP
Economic status and place of residence influence WTP for CBHI membership. Consumer awareness should be promoted, and government or donor subsidies are needed to ensure success and sustainability
Onwujekwe, 2010 
Questionnaire survey of 3070 households selected by simple random sampling. Focus group discussions were used to collect qualitative data, which was then examined for links between benefit package preferences with socioeconomic status and geographic residence of the respondents
Rural and poorer households preferred comprehensive packages; urban dwellers and the better off preferred more basic packages. Long-term viability must be promoted by quick access to care and benefits, and reduction in cost of treatment
Onwujekwe, 2009 
Questionnaire survey of 971 respondents in two communities selected by simple random sampling. Data analysis examined socioeconomic status, differences in enrolment levels, utilisation, willingness to renew registration, and payments
Highlighted the need for subsidies to ensure enrolment and equitable risk protection among the very poor
Onwujekwe, 2011 
Questionnaire survey of 3070 randomly selected households. Head of household or most senior member interviewed, and acceptability of CBHI scored on a scale of 1 to 10
Greatest willingness to enrol detected among the poorest households. Less poor groups may be more aware of shortcomings in programmes, and may therefore be more likely to express distrust and cynicism about the success of the scheme
Senegal, Mali & Ghana
Jütting, 2003 
Survey of 346 randomly selected households (2860 persons): 70% members and 30% non-members. Models used to examine impact of CBHI on health care use and expenditure
Members more likely to use facilities than non-members, and pay substantially less when they do. The very poorest households do not enrol, however: cost of participation must be reduced by lowering of prices or addition of subsidies
Ouimet, 2007 
Study of all Senegal CBHI providers, including interviews with subscribers and promoters, logistical analysis of links between subscribers and organisations and composite indicators representing values
Showed conflicts between promoter and subscriber values
Smith, 2008 
Senegal; Mali; Ghana
Data from three household surveys carried out by USAID-funded Partners for Health Reformplus. After presentation of descriptive statistics, multiple regression was used to estimate relationships between CBHI membership and access to formal maternal health services
CBHI membership is positively associated with maternal health service use. CBHI is a potential demand-side mechanism to increase maternal health care access, but complementary supply-side interventions to improve quality of and geographic access to care are also critical
Bucagu, 2012 
Systematic review of literature, national policy documents and three Demographic & Health Surveys (2000, 2005 and 2010) to identify health system factors driving maternity service improvements
CBHI identified as a primary factor, together with better leadership and governance
Schmidt, 2006 
Analysis of data from six household surveys
The goals of maximising health revenue and maximising participation in CBHI are mutually exclusive. The top three quartiles of the Rwandan population were able to contribute US$1 per capita per year, but subsidies were recommended to extend coverage to the poorest quartile
Dhillon, 2012 
Investigation of the impact of subsidising CBHI enrolment, removing point-of-service co-payments, and improving service delivery on health facility utilisation rates in Mayange, a rural area containing approximately 25,000 people
Improvement of service delivery and reduced financial barriers (elimination of copayments and increased subsidies) increases health facility utilisation under CBHI
Schneider, 2006 
Cross-sectional household survey data collected in 2000 in the context of the introduction of CBHI: 3139 households (354 insured and 2785 uninsured) - 14,574 individuals in total. Analysis via an indirect standardisation approach used to measure health inequality
Substantial inequality in utilisation linked to user fees - these were linked to horizontal inequity in service use across scheme members. In addition, benefit packages need to be large enough to protect households against catastrophic expenditure
Logie, 2008 
Descriptive review summarising three health system developments introduced by the Rwandan government to lower barriers to care: coordination of donors and external aid with government policy, and monitoring the effectiveness of aid; a country-wide independent CBHI scheme; and the introduction of a performance-based pay initiative
Annual fee too expensive for the very poor and insufficient to fund basic care - extra central funding and donor contributions needed. Addition of contributions from other insurance schemes and exemptions for the poor recommended
Basaza, 2010 
Semi-structured interviews with senior Ministry of Health staff and District Health Officers - qualitative study
Revealed gaps in knowledge and understanding of schemes among Ministry of Health and District Health Office staff. Also highlighted OOP expenditure as a problem
Basaza, 2007 
Case study of two CBHI schemes: review of scheme records, key informant interviews and exit polls with both insured and non-insured patients
Various demand and supply side factors identified
Basaza, 2008 
Reasons for low enrolment were investigated in two different models of CBHI. Focus group discussions and in-depth interviews were carried out with members and non-members to acquire more insight and understanding in people’s perception of CHI, in reasons for joining/not joining and in the possibilities for increased enrolment.
Highlighted scheme design problems, ability to pay premiums, poor quality of care, trust, etc.
Kyomugisha, 2009 
Qualitative descriptive cross-sectional study: focus group discussions with scheme members and non-members (158 participants)
Schemes were not sustainable because of small budgets, low enrolment and lack of government support. Effect of abolition of user fees on scheme enrolment was minimal. Governments should ensure that quality does not suffer when user fees are removed, and schemes need substantial support to build sustainability
De Allegri, 2006 
In-depth interviews with 32 heads of households in Nouna District, BF
Previously neglected factors, such as institutional rigidities and socio-cultural practices, are important in shaping the decision to enrol
Dong, 2003 
WTP study: household survey involving 2414 individuals and 705 household heads. Take-it-or-leave-it (TIOLI) and bidding game methods used to determine WTP
Pointed out the importance of considering differences between the theoretical and real markets, and between WTP and the costs of benefit packages
Dong, 2004 
WTP survey: random sample of 698 household heads interviewed with bidding game method.
Decision makers need to consider WTP when setting enrolment units and premiums
Dong, 2004 
Focus group discussions carried out after a pilot based on three key informant interviews; followed by a household survey (160 households). Qualitative survey with costings; the bidding game method was used to determine WTP and feasibility of running CBHI+
Subsidies highlighted; household characteristics influenced preferences
Dong, 2009 
Survey of 756 rural and 553 urban households. logistic regression was used to study the influence of individual and household factors on CBHI drop-outs
Drop-out rates influenced by affordability, health needs and health demand, quality of care, and household head and household characteristics
Parmar, 2012 
4-year study of adverse selection and targeted subsidies. CBHI was randomly offered to 41 villages and 1 town (Nouna) during 2004–6, with premium subsidies offered to poor households in 2007. Data were subsequently collected by household panel survey from randomly selected households (n = 6795); fixed effect models were applied
Targeted subsidies may increase coverage but may also increase adverse selection. Such subsidies for the very poor or other high-risk groups must be accompanied by strategies to bridge the financial gap created by adverse selection and thus assist sustainability
Souares, 2010 
Community wealth ranking was used to identify the poorest quintile of households among 7762 in Nouna district who were then offered insurance at half the usual premium for 2007
Annual enrolment increased from 18 households (1.1%) in 2006 to 186 (11.1%) in 2007
Donfouet, 2011 
Contingent valuation study based on survey of 410 rural households. Willingness to pay investigated
Substantial demand for CBHI in rural Cameroon, but social marketing strategies such as mass media campaigns are needed to raise awareness
Criel, 2003 
Focus group discussions carried out to explore reasons for low enrolment
Poor quality of care highlighted as a factor
Positive and negative factors influencing uptake of CBHI and other forms of social health insurance in SSA, and implications for policymakers
Examples of countries where factors noteda
Issues identified and policy implications
Factors positively linked to uptake
Provision of uniform benefit packages offering wide illness coverage
Benefits should be predefined and comprehensive, with a good coverage of likely disease burden
Provision of services at accredited facilities helps to ensure uniformity of benefits offered
Adequate public financing/realistic pricing
Ghana, Rwanda, Burkina Faso
Use of funds from taxation is necessary to allow funding to become progressive and to encourage/enable the less well-off to join through subsidies and fee exemptions
Targeted subsidies positively influenced enrolment in Nouna, BF, although there is also a danger of adverse selection
Elimination or minimisation of copayments
Increases in subsidies to the point where copayments are eliminated could lead to as much as 100% coverage
User fees in Rwanda were found to be linked to substantial inequality in utilisation, with medical visits being more common among the more well-off uninsured
Strong desire/willingness to join
Greatest willingness noted among poorest households in Nigeria
Policy makers should undertake research to determine WTP; social marketing can encourage participation
Avoidance of focus on maximisation of health revenue
CBHI participation and a focus on the generation of healthcare revenues are mutually exclusive
Improvements in education and socioeconomic status
Enrolment in schemes may increase in line with social and economic progress and development over the long term
De Allegri 
Provision of maternal healthcare benefits
Senegal, Mali, Ghana, Rwanda, Nigeria
Inclusion of maternal healthcare benefits promotes interest in CBHI as a demand-side driver, and CBHI is a primary contributor to strong maternal health services
Scheme organisers should ensure that packages are comprehensive, as excessive limitation discourages uptake
Awareness of the limitations of traditional medicine
Noted in the Nouna, BF survey. Further research is needed, but this observation emphases the value of improved education and communication
De Allegri 
Negative factors that discourage or limit uptake
Excessive requirement for OOP expenditure, inability to pay
Uganda, Burkina Faso, Guinea, Senegal, Nigeria
Major determinant of enrolment; even where implementation has been predominantly successful, the very poorest populations may still find participation financially difficult
OOP remains significant in healthcare systems in many countries (despite actions such as abolition of user fees in government institutions in Uganda)
Regressive flat-rate payments are a problem in Nigeria, and inability to pay premiums is the single biggest obstacle in Uganda. There are no mechanisms in place to help those who cannot afford to join
Ambiguous and contradictory healthcare funding policy is a significant problem that must be addressed
Social exclusion due to religion or ethnicity
Noted in Senegal, where the Roman Catholic Church supports the Mutuelles, and where Christians were reported in 2003 to be more likely than Moslems to enrol. In interviews, Moslems were under the mistaken impression that CBHI was open to Christians only
Lack of legal framework or umbrella organisation
Failure to provide any proper governance or official framework for CBHI schemes is linked to low enrolment
Lack of government (or donor) support
Uganda, Burkina Faso, Nigeria
Small budgets, low enrolment and lack of government support cause schemes to fail. Schemes need substantial support to build their sustainability; technical and policy decisions should account for this
Excessively rigid enrolment requirements or institutional rigidity
Uganda, Burkina Faso
Failure to recruit the required number of people in a village has been a key feature affecting schemes in Uganda (mandatory 60% of a group or 100 families per village)
Rules for group membership should reflect what is achievable
Mismatch of values expressed by promoters and subscribers; failure to align the ‘real’ market with the theoretical one, and to match benefits with WTP
Senegal, Burkina Faso, Nigeria
Need to align expectations/needs of promoters (focus on financial sustainability) and subscribers (who look for sustainability and solidarity)
Increase participation of members in decision making; failure to engage beneficiary participation in Nigeria has been pinpointed as a major problem
Ensure that prospective members are willing to pay for the benefits on offer, and that the market in any locality matches the theoretical one on which projections are based
Lack of information
Uganda, Burkina Faso, Nigeria
Governments and promoters must ensure that schemes are properly and accurately publicised, and the public properly informed; lack of knowledge can lead to scepticism
Lack of information is a significant problem in Nigeria
Authorities must ensure that government and health officials are fully informed about the packages on offer
Poor quality of healthcare
Concerns relate to cleanliness, long queues before being seen, and lack of some prescribed medicines
Noted as the main reason for lack of interest in the Maliando Mutual Health Organisation in Conakry, Guinea
Lack of trust; perception that schemes are unfair or even unnecessary; dislike of health care personnel and cultural resistance
Belief that non-members are treated better in hospital than scheme members
Integrity of fund managers and transparency of operation: “Nothing is done to ensure that fund managers account to scheme members” (Ugandan interview respondent)
Some members pay premiums continuously but never fall sick
“I wasn’t bothered since I am young and not likely to fall sick”; “If I do not fall sick, I should not pay for someone else” (Ugandan survey respondents)
Schemes must be fair, well run and affordable, and the public sufficiently well-informed to appreciate the need for coverage and mutuality
High drop-out rates
Related to other factors noted in this table: affordability, health needs and demand, quality of care and household characteristics
Improve perception of schemes by heads of households, ensure that large households are able to maintain contributions (e.g. flexibility in payment options); ensure that service offered meets expectations (e.g. in line with education, etc.)
CBHI schemes and their uptake in Nigeria and other SSA countries
It is difficult to find up-to-date details of schemes currently running in Nigeria or recent national estimates of participation rates. Moreover, as mentioned earlier, the NHIS was fully implemented only relatively recently (2005). Metiboba reported in 2011 a statement made in 2009 by Audu, the executive secretary for the NHIS, that only 3% of the entire Nigerian population was covered . Underlying problems have been reviewed more recently by Baba & Omotara , who place the poor performance of Nigeria’s NHIS within the wider context of a fragmented approach to healthcare that involves both federal and state governments, a deterioration in the public health service caused by a ‘brain drain’ and lack of resources, and the high levels of poverty encountered in Nigeria .
Examples of implementation of CBHI under Nigeria’s mixed informal sector model include the Hygeia Community Health Plan (HCHP), the first programme to be run in Lagos and Kwara State under the oversight of the Health Insurance Fund (HIF), an international not-for-profit organisation that undertakes to deliver private health insurance and services to low and middle income families. An ongoing study is assessing the ability of the HCHP to provide cardiovascular disease preventive care in a low resource setting .
Other studies have focused on communities in Anambra State, where a government/community healthcare co-financing scheme is in operation [21, 25]. This scheme mobilises the community via a health committee which has overseen refurbishment and re-equipping of the publicly owned health centre, sourced drugs and employed or re-deployed health personnel. The community members themselves set the premium to enrol at 100 and 50 Nigerian naira per month for each adult and child, respectively. The scheme focuses on maternal and child health. Enrolment in the scheme was reported to be 15.5% in a non-successful community but 48.4% in a successful one . High enrolment was linked chiefly to increased awareness of the scheme, while low enrolment was linked to regressive contributions, failure to fit implementation to a specific area, insufficient community involvement, and lack of trust in the scheme and its management .
Senegal, Mali and Ghana
Gains in Senegal surpass those in most other African countries (17.9% participation in non-formal CBHI by 2007), particularly in reduction of OOP payments, but organisational difficulties prevail: a legal framework for CBHI was established in 2003 but was still under revision in 2010 . Participation in Mali remains very poor, with OOP expenditure rising between 2004 and 2007 . The Malian government is attempting to address this by merging three existing schemes (formal sector coverage, medical assistance for the indigenous population, and mutuelle health organisations for the informal sector) and attempting to extend health coverage through the mutuelles.
In contrast, Ghana’s NHIS scheme has been relatively successful [6, 40]: 66.4% of the population had been covered by June 2010, with 29.6% in the informal adult sector. The Ghanaian NHIS is of special interest because of the way it adapts the SHI model to include informal workers. The combination of a network of CBHI-type entities (the District-Wide Mutual Health Insurance schemes) with a centralised authority and source of funding (the National Health Insurance Fund) ensures potential nationwide coverage and helps to guarantee financial sustainability. Thus, the NHIS adapts the best aspects of two very different health financing models to fit Ghana’s specific socioeconomic requirements .
Rwanda’s health system is financed both by state funds and by individual contributions through health insurance and direct fees for services. Civil servants, pensioners who have previously contributed towards medical care and certain private institutions are covered by a medical insurance scheme overseen by the Rwanda Social Security Board . To achieve universal coverage, the government of Rwanda has established a social health insurance programme called the Mutuelles de Santé. The scheme has been in place since 1999 and has been highly successful, with CBHI covering the entire country by 2005 . An evaluation of the scheme’s performance to 2008 showed improved medical care utilisation and protection of households from catastrophic health spending under CBHI, with Rwanda being the only country in SSA to achieve >90% coverage . Benefits are provided at two levels: a Minimum Package of Activities to cover all services and drugs at health centres, and a Complementary Package of Activities covering limited hospital services. Premiums and copayments vary, but the government covers these costs for the indigent population and other vulnerable groups . The key to Rwanda’s success in implementing CBHI appears to lie in a strong societal consensus over equality of access to health care with financial protection, crucially supported by the government through investment in the health sector, effective legislation to provide basic care for the uninsured, and an intensive nationwide programme .
A report from Rwanda in 2006 indicated significantly higher utilisation rates for both actual and needs-adjusted medical visits among scheme members than among persons paying user fees .
East African Countries (Uganda, Tanzania, Kenya)
These countries are characterised by very poor progress and have been undermined by serious challenges from high levels of poverty, population growth, a very high prevalence of HIV/AIDS and chronic underfunding of the health sector. Very poor participation is typical . Most information comes from Uganda, where CBHI operates in the ~30% of the system covered by the private not-for-profit sector: participation in Uganda suffered badly in 2001 when user fees were abolished in the public system (~60% of facilities) [13, 20]. In 2007, only 2% of Ugandans eligible for CBHI were actually enrolled .
Enrolment remains marginal and OOP expenditure is very high in Burkina Faso. Research focuses on a pilot CBHI scheme that was implemented in the Nouna Health District in 2004 [17, 38, 47]. As poverty has been identified as a key barrier to enrolment, the authorities have used community wealth ranking to identify the poorest households, who then receive significant subsidies. This approach has been found to be effective and has been recommended for use elsewhere .
There is strong demand in Cameroon for CBHI for poor rural households . This demand, however, has not been matched by increased protection from catastrophic health expenditure: in 2007, OOP expenditure remained at 94.5%. Pilot schemes have been launched and there is a stated aim to have one CBHI scheme per district by 2015, but there remains no national umbrella organisation and finance is lacking .
Other SSA Countries
In Guinea, the Union des Mutuelles de Santé de Guinée Forestière (UMSGF) was established as part of a health insurance program in 1999, but fewer than 1.5% of Guineans had CBHI coverage in 2006, and OOP expenditure remained at 99.5% . There is no legal framework or umbrella organisation for CBHI. The situation is similar in Benin (no legal framework; CBHI coverage <1.4% in 2006) . Niger is encumbered by very slow progress, extreme poverty and low government capacity: schemes have been introduced but coverage remains minimal . Tanzania is making modest progress with CBHI, but problems include flat-rate premiums with inability to pay and the persistence of potentially catastrophic OOP costs for referral care . Data from the Democratic Republic of Congo are limited chiefly to the Bwamanda Insurance Scheme, a mutuelle that is achieving high rates of coverage by using latent capacity in a hospital to supply low-cost insurance to rural poor who would otherwise high pay high OOP fees [20, 48].
Drivers of success and sustainability
Factors driving the success or failure of CBHI schemes appear as recurring themes in Nigeria and other SSA countries (Table 2). Problems are chiefly operational in nature and include failure to account for the inability of the target population to pay for scheme membership, lack of clear legislative and regulatory frameworks coupled with inadequate financial support, and unrealistic enrolment requirements. The last is linked to failure on the part of administrators to align ‘real-world’ socioeconomic conditions with those suggested by theoretical models, to account for the target population’s willingness to pay for a scheme, and to engage communities in decision making from the earliest stages. Failure to engage beneficiary participation in CBHI, lack of comprehensive cover and failure to appoint an omnibus regulator have all been criticised . Moreover, patient preferences may not be receiving sufficient attention, and packages suitable for one community may not suit another . These issues recur across countries that have faced significant difficulties in implementing CBHI. Problems with quality of service and a lack of trust in the integrity of the schemes and their administrators and providers have also been identified, particularly in Uganda, Guinea and Burkina Faso (Table 2). Lack of awareness also continues to present barriers to enrolment [7, 23]: 97% of a sample of rural Nigerian surgical patients in one survey had no knowledge of their government’s insurance Schemes . Most had paid for their treatment from personal savings or had relied on family members. In Senegal, Moslems were found in the early 2000s to be much less likely than Christians to enrol because they mistakenly believed that the schemes were open to Christians only .
Conversely, success factors are also evident. Researchers in Cameroon and Nigeria have documented a clear desire on the part of less well-off households to join schemes (Table 2), and over 3000 Nigerian survey respondents stated that CBHI was an acceptable means of paying for health regardless of socioeconomic background or location . Interestingly, the poorest households expressed the greatest willingness to enrol. Countries such as Ghana and Rwanda have shown key drivers of success to include uniform and comprehensive benefit packages, adequate finance by government and elimination or minimisation of copayments. Flat-rate payments are likely to discourage the very poor [9, 25], and the use of funds from taxation has been shown to be necessary to avoid the need for regressive member contributions. Even in a relatively successful country such as Senegal, there has been difficulty in reaching the very poorest members of society, which has highlighted the need for subsidies . Targeted subsidies for the most disadvantaged have a positive influence as long as adverse selection is avoided [21, 23] (Table 2).
Providing a specific focus for CBHI (e.g. maternity services ) has been shown to assist adequate funding and improve coverage in rural communities. Other initiatives of this kind include the Hygeia Community Health Plan (Lagos and Kwara State, Nigeria) that aims to improve access to cardiovascular care in low-resource settings .
In contrast to industrialised nations, which generally have fully developed publicly funded health systems and/or properly regulated insurance provision, healthcare provision in many developing countries remains fragmented and non-universal. CBHI has emerged as a potential strategy to address this. The contribution that CBHI can make to the achievement of UHC is acknowledged by international organisations such as the WHO, the World Bank and the United Nations Children’s Fund (UNICEF), despite its known shortcomings .
The evidence reviewed points to CBHI’s potential role in achievement of outcomes linked to the UN’s Millennium Development Goals (MDGs). For example, Goal 5 is to improve maternal health, and Adinma et al . showed improved delivery and utilisation of maternal health services after the introduction of a CBHI-type scheme in Anambra State, Nigeria (see above). Similarly, in Rwanda, marked increases among rural populations in proportions of births with skilled support, deliveries in institutions, and use of contraception were reported after performance-based financing, leadership and governance within the context of scaling up CBHI programmes . CBHI is also known to provide financial protection by reducing OOP spending; it increases cost recovery, financial protection and utilisation of inpatient and outpatient services [50, 51]. There may also be a positive effect on social inclusion .
The question remains, however, as to how to expand cover effectively to those in greatest need in a way that is viable, fair and sustainable, and that delivers a high standard of service. Evidence from many countries illustrates that enrolment into CBHI schemes is driven by a variety of inter-related factors, and that poor uptake cannot simply be attributed to income or socioeconomic and geographical differences.
The evidence reviewed generally shows that most of the successful schemes are regulated properly and supported financially by central governments. Experience of CBHI in regions outside SSA supports this . Most CBHI schemes in India, for example, are driven by non-governmental organisations (NGOs), with much organisational diversity . Critical issues still to be addressed include flaws in design, such as minimal exclusions to reduce OOP payments, and enrolment of whole family units to control adverse selection . Strategic purchasing and effective monitoring are also necessary, and financial viability could be increased through the amalgamation of smaller schemes. Most notably, the government of India has created a more supportive policy environment by granting legal recognition to CBHI schemes and providing subsidies for the poor. In order to move forward, premiums should be affordable, benefit packages comprehensive, providers regulated, and reimbursements cashless and straightforward .
The Indian government is taking steps to address these problems through the introduction of federally regulated schemes such as National Rural Health Mission (NRHM) of the Ministry of Health and Family Welfare, the Rashtriya Swasthya Bima Yojana (RSBY) of the Ministry of Labour and Employment, and the Rajiv Aarogyasri scheme launched by the state government of Andhra Pradesh . These schemes have achieved early success, and reflect a pattern in Asian countries of moving away from informal coverage and bringing SHI schemes into regulated governmental frameworks. In Indonesia, Jamkesmas, a government-financed program for the poor, has become the largest insurance programme, and is expected to be integrated with all other SHI schemes by 2014 . As part of its effort to achieve UHC, the Philippines introduced the government-financed health coverage program (HCP) for poor households in 1996. A sound design feature of the HCP was its incorporation into the National Health Insurance Program, but problems have arisen as a result of a reliance on local government units to enrol and pay for the poor, use of finance from uncertain sources (e.g. the Philippines Charity Sweepstakes), suboptimal benefit package design and accountability issues. Thus, although the health insurance landscape in Asia differs somewhat from that in SSA, there are some common patterns and lessons that can be drawn.
In Nigeria, although the USSHIP and RCSHIP offer promising ways of scaling up NHIS participation outside the compulsory formal sector, engagement with the NHIS remains primarily through the FSSHIP. There is nevertheless a strong demand for cover among the least well-off, and positive elements are already in place. These include the accreditation of providers and the requirement to include at least 500 members grouped around common economic activities (USSHIP) or a community (RCSHIP). This minimum size and requirement for coherency across the group, together with membership accreditation, would be expected to improve sustainability. The findings of the present study suggest that the uptake and sustainability of non-statutory NHIS elements in Nigeria could be improved by the following:
Closer integration of CBHI with the formal sector under the existing NHIS umbrella, with improved regulation and guarantee of financial stability by central government. Government support via tax revenues is necessary to cover gaps and ensure sustainability.
Elimination of regressive funding (flat rate payments).
Elimination of unrealistic pricing and minimisation of OOP payments, equity of availability of benefit packages, and consideration of targeted public subsidies.
Improved understanding of beneficiary needs by policymakers. Scheme benefits need to be comprehensive and easily understood, and administrators and providers trusted by beneficiaries. Evidence strongly suggests that current lack of confidence is being driven by lack of awareness and poor communication, which could be addressed through targeted information campaigns.
Increased citizen participation in the organisation and running of schemes (the Nigerian model provides for member involvement). Information about the schemes available should be widely disseminated and understood.
Ensuring transparency and monitoring of quality of service: communities may not be enrolling because of lack of information or misinformation, lack of trust and cultural resistance, or a perception that schemes are unfair and the standard of care is inadequate.
Monitoring of risk sharing, claims-to-revenue ratios and operating costs to ensure long-term sustainability .
Closer scheme integration and increased government support would reflect the situation in Ghana and Rwanda, where voluntary programmes have been more successful. Similar thinking can be found elsewhere in SSA, as exemplified by the comments of a senior Ugandan ministry official in one survey: “Health is something that everyone needs to maintain, and therefore community health insurance has a place in Uganda. Let us start with national policies facilitating community health insurance. Regulations are very important and gradual implementation is needed” .
Attempts to cover wide gaps with public funding may prove too great a burden for the general taxation system, in which case donor funding may be an option. This is being pursued in Nigeria through grants from the International Finance Corporation (IFC), but health care as a proportion of total spending was only 4.9% in 2009, so there is a great deal of scope for increased national spending on health to meet gaps in healthcare provision .
CBHI is by its nature voluntary, and the WHO has expressed doubts about the efficacy of voluntary participation in the drive to achieve UHC . As described earlier in this review, voluntary schemes are vulnerable to adverse risk selection which can lead to inadequate risk pooling . Conversely, however, voluntary schemes can raise funds in the absence of widespread prepayment and pooling. They can also familiarise people with the benefits of insurance and prepayment, although they have a limited ability to cover a range of services for those too poor to pay premiums .
Introduction of compulsion at some level might be controversial and difficult to implement, especially in the informal sector and in remote settings, and conflicts with the voluntary CBHI model. In contrast, SHI schemes elsewhere are often statutory with safety nets being provided through general taxation. A major challenge for Nigeria is poverty in rural areas, and there is little room for imposition of penalties. However, this study demonstrates many lessons from a variety of countries and initiatives that could make CBHI an effective tool in widening health care.
In terms of limitations, it is recognised that this study is based on a search of two electronic databases (PubMed and EconLit) and relevant websites, and informally published ‘grey’ literature was not examined in detail. The systematic approach used, however, is likely to have captured relevant studies and also provides an exemplar for future research relevant to the successful implementation of CBHI programmes in developing countries.
Implementation of CBHI-type programmes within the NHIS of Nigeria has been disappointing to date, but experience elsewhere suggests that uptake and sustainability could be improved through policies that include closer integration of the informal and formal sectors under the existing NHIS umbrella with increasing involvement of beneficiaries in scheme design and management, improvements in communication and education, higher public and private healthcare funding, and targeted financial assistance. These findings are likely to be instructive for policymakers in SSA generally in achieving UHC goals and improving health outcomes.
We acknowledge the contribution of Dr John Nixon, Teaching Associate in Health Economics at the Department of Economics and Related Studies, University of York, UK, who provided valuable guidance on literature searching and selection. We also thank Dr Nixon for his assistance with the direction and format of the manuscript and his comments on earlier versions of the paper. Medical writing support for the preparation of this paper was provided by Christopher J. Dunn on behalf of Bioscript Stirling Ltd and was funded by Astellas Pharma Europe Ltd.
- The World Health Report: Health System Financing: The Path To Universal Coverage. 2010, http://www.who.int/whr/2010/whr10_en.pdf. Accessed 9 November, 2013Google Scholar
- The World Health Report 2000: Health Systems: Improving Performance. 2000, http://www.who.int/whr/2000/en/whr00_en.pdf. Accessed 9 November, 2013Google Scholar
- Carrin G, Waelkens MP, Criel B: Community-based health insurance in developing countries: a study of its contribution to the performance of health financing systems. Trop Med Int Health. 2005, 10 (8): 799-811. 10.1111/j.1365-3156.2005.01455.x.PubMedView ArticleGoogle Scholar
- De Allegri M, Sauerborn R, Kouyaté B, Flessa S: Community health insurance in sub-Saharan Africa: what operational difficulties hamper its successful development?. Trop Med Int Health. 2009, 14 (5): 586-596. 10.1111/j.1365-3156.2009.02262.x.PubMedView ArticleGoogle Scholar
- Baba M, Omotara B: Nigeria’s Public Health: Gains And Challenges. 2012, http://www.equilibri.net/nuovo/articolo/nigerias-public-health-gains-and-challenges-0. Accessed 30 December, 2013Google Scholar
- Odeyemi IA, Nixon J: Assessing equity in health care through the national health insurance schemes of Nigeria and Ghana: a review-based comparative analysis. Int J Equity Health. 2013, 12: 9-10.1186/1475-9276-12-9.PubMed CentralPubMedView ArticleGoogle Scholar
- Metiboba S: Nigeria’s National Health Insurance Scheme: the need for beneficiary participation. Res J Int Studies. 2011, 22: 51-56.Google Scholar
- National Health Insurance System. 2012, Nigeria, http://www.jointlearningnetwork.org/content/national-health-insurance-system. Accessed 15 November, 2013
- NHIS: NHIS Programs. http://www.nhis.gov.ng/index.php?option=com_content&view=article&id=53&Itemid=57. Accessed 15 November, 2013
- National Health Insurance Scheme: 2013, http://www.nhis.gov.ng/. Accessed 30 December, 2013
- Sambo MN, Idris SH, Bashir SS, Muhammad JB: Financial hardship in settling medical bills among households in a semi-urban community in northwest Nigeria. West Afr J Med. 2013, 32 (1): 14-18.PubMedGoogle Scholar
- Ouimet MJ, Fournier P, Diop I, Haddad S: Solidarity or financial sustainability: an analysis of the values of community-based health insurance subscribers and promoters in Senegal. Can J Public Health. 2007, 98 (4): 341-346.PubMedGoogle Scholar
- Basaza RK, Criel B, Van der Stuyft P: Community health insurance amidst abolition of user fees in Uganda: the view from policy makers and health service managers. BMC Health Serv Res. 2010, 10: 33-10.1186/1472-6963-10-33.PubMed CentralPubMedView ArticleGoogle Scholar
- Donfouet HP, Makaudze E, Mahieu PA, Malin E: The determinants of the willingness-to-pay for community-based prepayment scheme in rural Cameroon. Int J Health Care Finance Econ. 2011, 11 (3): 209-220. 10.1007/s10754-011-9097-3.PubMedView ArticleGoogle Scholar
- Dong H, Kouyate B, Cairns J, Mugisha F, Sauerborn R: Willingness-to-pay for community-based insurance in Burkina Faso. Health Econ. 2003, 12 (10): 849-862. 10.1002/hec.771.PubMedView ArticleGoogle Scholar
- Dong H, Kouyate B, Cairns J, Sauerborn R: Differential willingness of household heads to pay community-based health insurance premia for themselves and other household members. Health Policy Plan. 2004, 19 (2): 120-126. 10.1093/heapol/czh014.PubMedView ArticleGoogle Scholar
- Dong H, Mugisha F, Gbangou A, Kouyate B, Sauerborn R: The feasibility of community-based health insurance in Burkina Faso. Health Policy. 2004, 69 (1): 45-53. 10.1016/j.healthpol.2003.12.001.PubMedView ArticleGoogle Scholar
- Logie DE, Rowson M, Ndagije F: Innovations in Rwanda’s health system: looking to the future. Lancet. 2008, 372 (9634): 256-261. 10.1016/S0140-6736(08)60962-9.PubMedView ArticleGoogle Scholar
- Bucagu M, Kagubare JM, Basinga P, Ngabo F, Timmons BK, Lee AC: Impact of health systems strengthening on coverage of maternal health services in Rwanda, 2000-2010: a systematic review. Reprod Health Matters. 2012, 20 (39): 50-61.PubMedView ArticleGoogle Scholar
- Soors W, Devadasan N, Durairaj V, Criel B: Community Health Insurance And Universal Coverage: Multiple Paths, Many Rivers To Cross. World Health Report. 2010, http://www.who.int/healthsystems/topics/financing/healthreport/48_CHI.pdf. Accessed 23 November 2013Google Scholar
- Adinma ED, Nwakoby BA, Adinma BD: Integrating maternal health services into a health insurance scheme: effect on healthcare delivery. Nig Q J Hosp Med. 2010, 20 (2): 86-93.PubMedView ArticleGoogle Scholar
- Dienye PO, Brisibe SF, Eke R: Sources of healthcare financing among surgical patients in a rural Niger Delta practice in Nigeria. Rural Remote Health. 2011, 11 (2): 1577-PubMedGoogle Scholar
- Onwujekwe O, Okereke E, Onoka C, Uzochukwu B, Kirigia J, Petu A: Willingness to pay for community-based health insurance in Nigeria: do economic status and place of residence matter?. Health Policy Plan. 2010, 25 (2): 155-161. 10.1093/heapol/czp046.PubMedView ArticleGoogle Scholar
- Onwujekwe O, Onoka C, Uguru N, Nnenna T, Uzochukwu B, Eze S, Kirigia J, Petu A: Preferences for benefit packages for community-based health insurance: an exploratory study in Nigeria. BMC Health Serv Res. 2010, 10: 162-10.1186/1472-6963-10-162.PubMed CentralPubMedView ArticleGoogle Scholar
- Onwujekwe O, Onoka C, Uzochukwu B, Okoli C, Obikeze E, Eze S: Is community-based health insurance an equitable strategy for paying for healthcare? Experiences from southeast Nigeria. Health Policy. 2009, 92 (1): 96-102. 10.1016/j.healthpol.2009.02.007.PubMedView ArticleGoogle Scholar
- Onwujekwe O, Onoka C, Uguru N, Tasie N, Uzochukwu B, Kirigia J, Petu A: Socio-economic and geographic differences in acceptability of community-based health insurance. Public Health. 2011, 125 (11): 806-808. 10.1016/j.puhe.2011.09.006.PubMedView ArticleGoogle Scholar
- Jütting J: Do community-based health insurance schemes improve poor people’s access to health care? Evidence from rural Senegal. World Dev. 2003, 32: 273-288.View ArticleGoogle Scholar
- Smith KV, Sulzbach S: Community-based health insurance and access to maternal health services: evidence from three West African countries. Soc Sci Med. 2008, 66 (12): 2460-2473. 10.1016/j.socscimed.2008.01.044.PubMedView ArticleGoogle Scholar
- Schmidt JO, Mayindo JK, Kalk A: Thresholds for health insurance in Rwanda: who should pay how much?. Trop Med Int Health. 2006, 11 (8): 1327-1333. 10.1111/j.1365-3156.2006.01661.x.PubMedView ArticleGoogle Scholar
- Dhillon RS, Bonds MH, Fraden M, Ndahiro D, Ruxin J: The impact of reducing financial barriers on utilisation of a primary health care facility in Rwanda. Glob Public Health. 2012, 7 (1): 71-86. 10.1080/17441692.2011.593536.PubMed CentralPubMedView ArticleGoogle Scholar
- Schneider P, Hanson K: Horizontal equity in utilisation of care and fairness of health financing: a comparison of micro-health insurance and user fees in Rwanda. Health Econ. 2006, 15 (1): 19-31. 10.1002/hec.1014.PubMedView ArticleGoogle Scholar
- Basaza R, Criel B, Van der Stuyft P: Low enrollment in Ugandan Community Health Insurance schemes: underlying causes and policy implications. BMC Health Serv Res. 2007, 7: 105-10.1186/1472-6963-7-105.PubMed CentralPubMedView ArticleGoogle Scholar
- Basaza R, Criel B, Van der Stuyft P: Community health insurance in Uganda: why does enrolment remain low? A view from beneath. Health Policy. 2008, 87 (2): 172-184. 10.1016/j.healthpol.2007.12.008.PubMedView ArticleGoogle Scholar
- Kyomugisha EL, Buregyeya E, Ekirapa E, Mugisha JF, Bazeyo W: Strategies for sustainability and equity of prepayment health schemes in Uganda. Afr Health Sci. 2009, 9 (Suppl 2): S59-65.PubMed CentralPubMedGoogle Scholar
- De Allegri M, Sanon M, Sauerborn R: “To enrol or not to enrol?”: a qualitative investigation of demand for health insurance in rural west africa. Soc Sci Med. 2006, 62 (6): 1520-1527. 10.1016/j.socscimed.2005.07.036.PubMedView ArticleGoogle Scholar
- Dong H, De Allegri M, Gnawali D, Souares A, Sauerborn R: Drop-out analysis of community-based health insurance membership at Nouna, Burkina Faso. Health Policy. 2009, 92 (2–3): 174-179.PubMedView ArticleGoogle Scholar
- Parmar D, Souares A, de Allegri M, Savadogo G, Sauerborn R: Adverse selection in a community-based health insurance scheme in rural Africa: implications for introducing targeted subsidies. BMC Health Serv Res. 2012, 12: 181-10.1186/1472-6963-12-181.PubMed CentralPubMedView ArticleGoogle Scholar
- Souares A, Savadogo G, Dong H, Parmar D, Sié A, Sauerborn R: Using community wealth ranking to identify the poor for subsidies: a case study of community-based health insurance in Nouna, Burkina Faso. Health Soc Care Community. 2010, 18 (4): 363-368.PubMedGoogle Scholar
- Criel B, Waelkens MP: Declining subscriptions to the Maliando Mutual Health Organisation in Guinea-Conakry (West Africa): what is going wrong?. Soc Sci Med. 2003, 57 (7): 1205-1219. 10.1016/S0277-9536(02)00495-1.PubMedView ArticleGoogle Scholar
- National Health Insurance Scheme of Ghana: http://www.nhis.gov.gh/?CategoryID=216. Accessed 12 December, 2013
- Hendriks M, Brewster L, Wit F, Bolarinwa OA, Odusola AO, Redekop W, Bindraban N, Vollaard A, Alli S, Adenusi P, Agbede K, Akande T, Lange J, Schultsz C: Cardiovascular disease prevention in rural Nigeria in the context of a community based health insurance scheme: QUality Improvement Cardiovascular care Kwara-I (QUICK-I). BMC Public Health. 2011, 11: 186-10.1186/1471-2458-11-186.PubMed CentralPubMedView ArticleGoogle Scholar
- Center For Health Market Innovations: Ghana National Health Insurance Scheme. http://healthmarketinnovations.org/program/ghana-national-health-insurance-scheme. Accessed 21 August, 2013
- Rwanda Social Security Board: 2013, http://www.csr.gov.rw/content/medical-scheme. Accessed 30 December, 2013
- Lu C, Chin B, Lewandowski JL, Basinga P, Hirschhorn LR, Hill K, Murray M, Binagwaho A: Towards universal health coverage: an evaluation of Rwanda Mutuelles in its first eight years. PLoS One. 2012, 7 (6): e39282-10.1371/journal.pone.0039282.PubMed CentralPubMedView ArticleGoogle Scholar
- Center For Health Market Innovations: Mutuelles de Santé, Rwanda, http://healthmarketinnovations.org/program/mutuelles-de-sante-rwanda. Accessed 21 August, 2013
- Basaza R, Pariyo G, Criel B: What are the emerging features of community health insurance schemes in East Africa?. Risk Manag Healthc Policy. 2009, 2: 47-53.PubMed CentralPubMedView ArticleGoogle Scholar
- Dong H, Gbangou A, De Allegri M, Pokhrel S, Sauerborn R: The differences in characteristics between health-care users and non-users: implication for introducing community-based health insurance in Burkina Faso. Eur J Health Econ. 2008, 9 (1): 41-50. 10.1007/s10198-006-0031-4.PubMedView ArticleGoogle Scholar
- Center For Health Market Innovations: Bwamanda Insurance Scheme. http://healthmarketinnovations.org/program/bwamanda-insurance-scheme. Accessed 21 August, 2013
- Universal Health Coverage Study Series: http://bit.ly/14Vgivx. Accessed 21 February, 2013
- Ekman B: Community-based health insurance in low-income countries: a systematic review of the evidence. Health Policy Plan. 2004, 19 (5): 249-270. 10.1093/heapol/czh031.PubMedView ArticleGoogle Scholar
- Spaan E, Mathijssen J, Tromp N, McBain F, ten Have A, Baltussen R: The impact of health insurance in Africa and Asia: a systematic review. Bull World Health Organ. 2012, 90 (9): 685-692. 10.2471/BLT.12.102301.PubMed CentralPubMedView ArticleGoogle Scholar
- Devadasan N, Ranson K, Van Damme W, Acharya A, Criel B: The landscape of community health insurance in India: an overview based on 10 case studies. Health Policy. 2006, 78 (2–3): 224-234.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.