Equitable utilisation of Indian community based health insurance scheme among its rural membership: cluster randomised controlled trial

Impact of community-based health insurance in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

To systematically evaluate the empirical evidence on the impact of community-based health insurance (CBHI) on healthcare utilization and financial risk protection in low- and middle-income countries (LMIC).

METHODS

We searched PubMed, CINAHL, Cochrane CENTRAL, CNKI, PsycINFO, Scopus, WHO Global Index Medicus, and Web of Science including grey literature, Google Scholar®, and citation tracking for randomized controlled trials (RCTs), non-RCTs, and quasi-experimental studies that evaluated the impact of CBHI schemes on healthcare utilization and financial risk protection in LMICs. We assessed the risk of bias using Cochrane's Risk of Bias 2.0 and Risk of Bias in Non-randomized Studies of Interventions tools for RCTs and quasi/non-RCTs, respectively. We also performed a narrative synthesis of all included studies and meta-analyses of comparable studies using random-effects models. We pre-registered our study protocol on PROSPERO: CRD42022362796.

RESULTS

We identified 61 articles: 49 peer-reviewed publications, 10 working papers, 1 preprint, and 1 graduate dissertation covering a total of 221,568 households (1,012,542 persons) across 20 LMICs. Overall, CBHI schemes in LMICs substantially improved healthcare utilization, especially outpatient services, and improved financial risk protection in 24 out of 43 studies. Pooled estimates showed that insured households had higher odds of healthcare utilization (AOR = 1.60, 95% CI: 1.04-2.47), use of outpatient health services (AOR = 1.58, 95% CI: 1.22-2.05), and health facility delivery (AOR = 2.21, 95% CI: 1.61-3.02), but insignificant increase in inpatient hospitalization (AOR = 1.53, 95% CI: 0.74-3.14). The insured households had lower out-of-pocket health expenditure (AOR = 0.94, 95% CI: 0.92-0.97), lower incidence of catastrophic health expenditure at 10% total household expenditure (AOR = 0.69, 95% CI: 0.54-0.88), and 40% non-food expenditure (AOR = 0.72, 95% CI: 0.54-0.96). The main limitations of our study are the limited data available for meta-analyses and high heterogeneity persisted in subgroup and sensitivity analyses.

CONCLUSIONS

Our study shows that CBHI generally improves healthcare utilization but inconsistently delivers financial protection from health expenditure shocks. With pragmatic context-specific policies and operational modifications, CBHI could be a promising mechanism for achieving universal health coverage (UHC) in LMICs.

Impact of community-based health insurance on utilisation of preventive health services in rural Uganda: a propensity score matching approach

The effect of voluntary health insurance on preventive health has received limited research attention in developing countries, even when they suffer immensely from easily preventable illnesses. This paper surveys households in rural south-western Uganda, which are geographically serviced by a voluntary Community-based health insurance scheme, and applied propensity score matching to assess the effect of enrolment on using mosquito nets and deworming under-five children. We find that enrolment in the scheme increased the probability of using a mosquito net by 26% and deworming by 18%. We postulate that these findings are partly mediated by information diffusion and social networks, financial protection, which gives households the capacity to save and use service more, especially curative services that are delivered alongside preventive services. This paper provides more insight into the broader effects of health insurance in developing countries, beyond financial protection and utilisation of hospital-based services.

Health insurance in India: what do we know and why is ethnographic research needed

The percentage of India's national budget allocated to the health sector remains one of the lowest in the world, and healthcare expenditures are largely out-of-pocket (OOP). Currently, efforts are being made to expand health insurance coverage as one means of addressing health disparity and reducing catastrophic health costs. In this review, we document reasons for rising interest in health insurance and summarize the country's history of insurance projects to date. We note that most of these projects focus on in-patient hospital costs, not the larger burden of out-patient costs. We briefly highlight some of the more popular forms that government, private, and community-based insurance schemes have taken and the results of quantitative research conducted to assess their reach and cost-effectiveness. We argue that ethnographic case studies could add much to existing health service and policy research, and provide a better understanding of the life cycle and impact of insurance programs on both insurance holders and healthcare providers. Drawing on preliminary fieldwork in South India and recognizing the need for a broad-based implementation science perspective (studying up, down and sideways), we identify six key topics demanding more in-depth research, among others: (1) public awareness and understanding of insurance; (2) misunderstanding of insurance and how this influences health care utilization; (3) differences in behavior patterns in cash and cashless insurance systems; (4) impact of insurance on quality of care and doctor-patient relations; (5) (mis)trust in health insurance schemes; and (6) health insurance coverage of chronic illnesses, rehabilitation and OOP expenses.

Understanding CBHI hospitalisation patterns: a comparison of insured and uninsured women in Gujarat, India

Background

Community-based health insurance has been associated with increased hospitalisation in low-income settings, but with limited analysis of the illnesses for which claims are submitted. A review of claims submitted to VimoSEWA, an inpatient insurance scheme in Gujarat, India, found that fever, diarrhoea and hysterectomy, the latter at a mean age of 37 years, were the leading reasons for claims by adult women. We compared the morbidity, outpatient treatment-seeking and hospitalisation patterns of VimoSEWA-insured women with uninsured women.

Methods

We utilised data from a cross-sectional survey of 1,934 insured and uninsured women in Gujarat, India. Multivariable logistic regression identified predictors of insurance coverage and the association of insurance with hospitalisation. Self-reported data on morbidity, outpatient care and hospitalisation were compared between insured and uninsured women.

Results

Age, marital status and occupation of adult women were associated with insurance status. Reported recent morbidity, type of illness and outpatient treatment were similar among insured and uninsured women. Multivariable analysis revealed strong evidence of a higher odds of hospitalisation amongst the insured (OR = 2.7; 95% ci. 1.6, 4.7). The leading reason for hospitalisation for uninsured and insured women was hysterectomy, at a similar mean age of 36, followed by common ailments such as fever and diarrhoea. Insured women appeared to have a higher probability of being hospitalised than uninsured women for all causes, rather than specifically for fever, diarrhoea or hysterectomy. Length of stay was similar while choice of hospital differed between insured and uninsured women.

Conclusions

Despite similar reported morbidity patterns and initial treatment-seeking behaviour, VimoSEWA members were more likely to be hospitalised. The data did not provide strong evidence that inpatient hospitalisation replaced outpatient treatment for common illnesses or that insurance was the primary inducement for hysterectomy in the population. Rather, it appears that VimoSEWA members behaved differently in deciding if, and where, to be hospitalised for any condition. Further research is required to explore this decision-making process and roles, if any, played by adverse selection and moral hazard. Lastly, these hospitalisation patterns raise concerns regarding population health needs and access to quality preventive and outpatient services.

Evolving social health scheme for workers in unorganized sector: key evidences from study of cycle rickshaw pullers in Delhi, India

BACKGROUND

In view of high out-of-pocket costs and low spending even for basic healthcare for the poor employed in the unorganized sector, policy makers in India have turned their attention to developing a financing mechanism for social health insurance with the desire to provide quality care to the poor and economically disadvantaged.

OBJECTIVES

This study aims to assess and determine the disease profile, treatment expenditure and willingness to pay for health insurance among rickshaw pullers in Delhi.

METHODS

The study was conducted among 500 rickshaw pullers from five zones of the Municipal Corporation of Delhi, taking a sample of 100 from each zone.

RESULTS

The average cost of treatment was Rs.505 for outpatient and Rs. 3200 for inpatient care. To finance the treatment expenditure, 27.5% of the respondents spent from their household savings, and 43% had to borrow funds. Any "spell of sickness" and "total expenditure on acute illness" were significantly (p < 0.01) associated with the willingness to pay for health insurance. Overall, the majority (83%) of participants were willing to pay for health insurance.

CONCLUSION

The study provides the evidence for the need for urgent policy development by introducing a social health insurance package including wage losses for the vulnerable groups such as rickshaw pullers in the unorganized sector in India, which significantly contribute to pollution free and cheap transportation of community, tourists and commercial goods as well.

Household preferences for cataract surgery in rural India: a population-based stated preference survey

PURPOSE

Cataract surgery is provided both by the private and public sector in India. Free cataract surgery (with minimal amenities) funded through subsidies/reimbursements by government and non-governmental organizations is provided for underprivileged and poor patients, especially in rural areas. However, no evidence exists whether this free surgery is used by those who could afford to pay and are willing to pay for cataract surgery. So, understanding willingness to pay and preferences for cataract surgery in the population can have important policy implications.

METHODS

A cross-sectional survey of 1272 households from four randomly drawn rural household clusters in Theni district, Tamilnadu state, India was conducted. Respondents from households were presented with scenarios (with and without free surgery availability) to elicit their willingness to pay and preferences for cataract surgery.

RESULTS

Of those willing to undergo surgery; 696 (57%) were willing to undergo paid surgery, 148 (12%) only free surgery, and 378 (31%) paid surgery if no free surgery was available. In a multinomial logit model, household wealth measures, income variables and family history of cataract surgery largely distinguished the preferences. Good understanding of cataract and its intervention only marginally influenced preference for paid surgery.

CONCLUSION

A larger number of people were willing to pay when free surgery was not available. Free surgery may be crowding out surgery for which costs can be recovered. With non-cataract causes of blindness in the Indian population also requiring attention, this has implications for allocation of scarce resources.

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.

Applying the net-benefit framework for assessing cost-effectiveness of interventions towards universal health coverage

In assessing the cost-effectiveness of an intervention, the interpretation and handling of uncertainties of the traditional summary measure, the Incremental Cost Effectiveness Ratio (ICER), can be problematic. This is particularly the case with strategies towards universal health coverage in which the decision makers are typically concerned with coverage and equity issues. We explored the feasibility and relative advantages of the net-benefit framework (NBF) (compared to the more traditional Incremental Cost-Effectiveness Ratio, ICER) in presenting results of cost-effectiveness analysis of a community based health insurance (CBHI) scheme in Nouna, a rural district of Burkina Faso. Data were collected from April to December 2007 from Nouna's longitudinal Demographic Surveillance System on utilization of health services, membership of the CBHI, covariates, and CBHI costs. The incremental cost of a 1 increase in utilization of health services by household members of the CBHI was 433,000 XOF ($1000 approximately). The incremental cost varies significantly by covariates. The probability of the CBHI achieving a 1% increase in utilization of health services, when the ceiling ratio is $1,000, is barely 30% for households in Nouna villages compared to 90% for households in Nouna town. Compared to the ICER, the NBF provides more useful information for policy making.

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.

Provider payment in community-based health insurance schemes in developing countries: a systematic review

Objectives Community-based health insurance (CBI) is a common mechanism to generate financial resources for health care in developing countries. We review for the first time provider payment methods used in CBI in developing countries and their impact on CBI performance.

Methods We conducted a systematic review of the literature on provider payment methods used by CBI in developing countries published up to January 2010.

Results Information on provider payment was available for a total of 32 CBI schemes in 34 reviewed publications: 17 schemes in South Asia, 10 in sub-Saharan Africa, 4 in East Asia and 1 in Latin America. Various types of provider payment were applied by the CBI schemes: 17 used fee-for-service, 12 used salaries, 9 applied a coverage ceiling, 7 used capitation and 6 applied a co-insurance. The evidence suggests that provider payment impacts CBI performance through provider participation and support for CBI, population enrolment and patient satisfaction with CBI, quantity and quality of services provided and provider and patient retention. Lack of provider participation in designing and choosing a CBI payment method can lead to reduced provider support for the scheme.

Conclusion CBI schemes in developing countries have used a wide range of provider payment methods. The existing evidence suggests that payment methods are a key determinant of CBI performance and sustainability, but the strength of this evidence is limited since it is largely based on observational studies rather than on trials or on quasi-experimental research. According to the evidence, provider payment can affect provider participation, satisfaction and retention in CBI; the quantity and quality of services provided to CBI patients; patient demand of CBI services; and population enrollment, risk pooling and financial sustainability of CBI. CBI schemes should carefully consider how their current payment methods influence their performance, how changes in the methods could improve performance, and how such effects could be assessed with scientific rigour to increase the strength of evidence on this topic.

Health insurance and health-seeking behavior: evidence from a randomized community-based insurance rollout in rural Burkina Faso

In 2004, a community-based health insurance (CBI) scheme was introduced in Nouna district, Burkina Faso, with the primary objective of improving access to facility-based health services. In order to overcome self-selection issues in the analysis of the behavioral effects of insurance, we combine four waves of the Nouna Health District Household Survey into a panel data set, and use the randomized timing of insurance rollout to estimate the causal effect of insurance coverage on health-seeking behavior. While we find a generally positive association between CBI affiliation and treatment seeking, we cannot reject the null that the introduction of health insurance does not have any effect on treatment seeking in general, and utilization of facility-based professional care, in particular. Low levels of health care provider satisfaction, poor perceived quality of care by enrollees, and ambiguity in the coverage level of the CBI benefit package appear to have contributed to these weak results. Our findings imply that the basic notion of insurance mechanically increasing facility-based professional care is not necessarily true empirically, and likely contingent on a large number of contextual factors affecting health-seeking behavior within households and communities.

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.

A functional model for monitoring equity and effectiveness in purchasing health insurance premiums for the poor: evidence from Cambodia and the Lao PDR

OBJECTIVES

To assess the impact on equity and effectiveness of introducing targeted subsidies for the poor into existing voluntary health insurance schemes in Low Income Countries with special reference to cross-subsidisation.

METHODS

A functional model was constructed using routine collected financial data to analyse changes in financial flows and resulting shifts in cross-subsidization between poor and non-poor. Data were collected from two sites, in Cambodia at Kampot operational health district and in the Lao People's Democratic Republic at Nambak district.

RESULTS

Six key variables were identified as determining the financial flows between the subsidy and the insurance schemes and with health providers: population coverage, premium rate, facility contact rate, capitation rate, cost of treatment and changes in administration costs. Negative cross-subsidization was revealed where capitation was used as the payment mechanism and where utilisation rates of the poor were significantly below the non-poor. The same level of access for the poor could have been achieved with a lower Health Equity Fund subsidy if used as a direct reimbursement of user charges by the Health Equity Fund to the provider rather than through the Community Based Health Insurance scheme.

CONCLUSIONS

Purchasing premiums for the poor under these conditions is more costly than direct reimbursement to the provider for the same level of service delivery. Negative cross-subsidization is a serious risk that must be managed appropriately and the benefits of a larger risk pool (cross-subsidization of the poor) are not evident. Benefits from combined coverage may accrue in the longer term with an expanded base of voluntary payers or when those with subsidized premiums are lifted out of poverty.

Impact evaluation of India's 'Yeshasvini' community-based health insurance programme

Using propensity score matching techniques, the study evaluates the impact of India's Yeshasvini community-based health insurance programme on health-care utilisation, financial protection, treatment outcomes and economic well-being. The programme offers free out-patient diagnosis and lab tests at discounted rates when ill, but, more importantly, it covers highly catastrophic and less discretionary in-patient surgical procedures. For its impact evaluation, 4109 randomly selected households in villages in rural Karnataka, an Indian state, were interviewed using a structured questionnaire. A comprehensive set of indicators was developed and the quality of matching was tested. Generally, the programme is found to have increased utilisation of health-care services, reduced out-of-pocket spending, and ensured better health and economic outcomes. More specifically, however, these effects vary across socio-economic groups and medical episodes. The programme operates by bringing the direct price of health-care down but the extent to which this effectively occurs across medical episodes is an empirical issue. Further, the effects are more pronounced for the better-off households. The article demonstrates that community insurance presents a workable model for providing high-end services in resource-poor settings through an emphasis on accountability and local management.

A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals

OBJECTIVE

Statisticians have criticized the use of significance testing to compare the distribution of baseline covariates between treatment groups in randomized controlled trials (RCTs). Furthermore, some have advocated for the use of regression adjustment to estimate the effect of treatment after adjusting for potential imbalances in prognostically important baseline covariates between treatment groups.

STUDY DESIGN AND SETTING

We examined 114 RCTs published in the New England Journal of Medicine, the Journal of the American Medical Association, The Lancet, and the British Medical Journal between January 1, 2007 and June 30, 2007.

RESULTS

Significance testing was used to compare baseline characteristics between treatment arms in 38% of the studies. The practice was very rare in British journals and more common in the U.S. journals. In 29% of the studies, the primary outcome was continuous, whereas in 65% of the studies, the primary outcome was either dichotomous or time-to-event in nature. Adjustment for baseline covariates was reported when estimating the treatment effect in 34% of the studies.

CONCLUSIONS

Our findings suggest the need for greater editorial consistency across journals in the reporting of RCTs. Furthermore, there is a need for greater debate about the relative merits of unadjusted vs. adjusted estimates of treatment effect.

Abolishing user fees in Africa

Valéry Ridde and Slim Haddad discuss a new trial in Ghana in which households were randomized into a pre-payment scheme allowing free primary care or to a control group who paid user fees for health care.

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.

Community based health insurance in developing countries

Removing financial barriers is only the first step towards better access to care for poor people