Distress financing in coping with out-of-pocket expenditure for maternity care in India

Background

The cost of maternity care is seen as the barrier in utilizing maternity care, resulting in high maternal deaths. This study focuses on the distress financing and its coping mechanisms associated with maternity care expenditure in India so that corrective measures can be taken to reduce the burden of maternity care.

Methods

This study used the National Sample Survey (NSS) data conducted in 20,014–15 (71^st round of NSS) and 2017–18(75^th round of NSS). We define distress financing as use of formal borrowing, borrowing from friends or family or sale of asser to finance maternity care. Percentage of pregnant/delivered females using distress financing were calculated.. The present study also used multinomial logistic regression with 95% to understand the impact of socio-economic variables on distress financing and concentration index to measure the inequality in maternity care expenditure.

Results

This study found that the maternity care expenditure has decreased from the INR. 9379 in 2014–15 to INR. 7835 in 2017–18. The percentage of households using distress financing is higher among the poorest (13.2%). Almost 14% of the SC households experience distress financing. Among EAG + A states, particularly in Madhya Pradesh and Uttarakhand, the percentage of households are which experience a high level of distress financing increased from 8.9 to 18.3 and 0.7 to 8.1 from 2014–15 to 2017–18 respectively. The study finds that more urban households (37%) utilized insurance than rural households (26%). Among EAG + A states, 67.9 percent of households were dependent upon household savings, and it was 63.6 percent in the non-EAG states. The households with a high burden of maternity care expenditure were at higher risk of borrowing money to finance the cost of maternity as compared to use of savings/income for the same (relative risk (RR) (R: 2.59; P < 0.01; 95% CI: 2.15–3.13). Mothers belonging to the SC caste were at significantly higher risk (RR: 1.43; P < 0.1; 95% CI: 1.07–1.91). of using borrowings as compared to the use of income/savings. Mothers with college education were 50% more likely to use health insurance as compared to those with primary education.

Conclusions

The study found that even though many programs for maternity care services are there, the maternity care expenditure, particularly the delivery care expenses, is very high in many states. The study recommends that India should increase subsidized maternity care facilities to decrease catastrophic maternity expenditure among households.

Equity in health insurance schemes enrollment in low and middle-income countries: A systematic review and meta-analysis

Background

Ensuring access to essential quality health services and reducing financial hardship for all individuals regardless of their ability to pay are the main goals of universal health coverage. Various health insurance schemes have been recently implemented in low- and middle-income countries (LMICs) to achieve both of these objectives. We systematically reviewed all available literature to assess the extent to which current health insurance schemes truly reach the poor and underserved populations in LMICs.

Methods

In the systematic review, we searched on PubMed, Web of Science, EconLit and Google Scholar to identify eligible studies which captured health insurance enrollment information in LMICs from 2010 up to September 2019. Two authors independently selected studies, extracted data, and appraised included studies. The primary outcome of interest was health insurance enrollment of the most vulnerable populations relative to enrollment of the best-off subgroups. We classified households both with respect to their highest educational attainment and their relative wealth and used random-effects meta-analysis to estimate average enrollment gaps.

Results

48 studies from 17 countries met the inclusion criteria. The average enrollment rate into health insurance schemes for vulnerable populations was 36% with an inter-quartile range of 26%. On average, across countries, households from the wealthiest subgroup had 61% higher odds (95% CI: 1.49 to 1.73) of insurance enrollment than households in the poorest group in the same country. Similarly, the most educated groups had 64% (95% CI: 1.32 to 1.95) higher odds of enrollment than the least educated groups.

Conclusion

The results of this study show that despite major efforts by governments, health insurance schemes in low-and middle-income countries are generally not reaching the targeted underserved populations and predominantly supporting better-off population groups. Current health insurance designs should be carefully scrutinized, and the extent to which health insurance can be used to support the most vulnerable populations carefully re-assessed by countries, which are aiming to use health insurance schemes as means to reach their UHC goals. Furthermore, studies exploring best practices to include vulnerable groups in health insurance schemes are needed.

Registration

Not available

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01608-x.

Delivering health insurance through informal financial groups: Evidence on moral hazard and adverse selection

Moral hazard and adverse selection are potential explanations for missing health insurance in low-income countries. In recent years, informal financial institutions have attempted to complete health insurance markets by offering micro health insurance (MHI). We evaluate an MHI offered through informal financial institutions (Self-Help Groups) in Maharashtra, India. Exploiting random assignment of when villages were offered the MHI, we do not find support for MHI increasing health care utilization. In contrast, we do find evidence for adverse selection: enrollees are significantly more likely than non-enrollees to report poor health prior to the introduction of MHI. This adverse selection persists even when the MHI is offered as a group insurance to Self-Help Groups, as opposed to individual insurance. Our results suggest that MHI offered through informal financial groups may not suffer from moral hazard, but does fall short of eliminating adverse selection.

Socioeconomic inequality in premiums for a community-based health insurance scheme in Rwanda

Community-based health insurance (CBHI) has gained popularity in many low- and middle-income countries, partly as a policy response to calls for low-cost, pro-poor health financing solutions. In Africa, Rwanda has successfully implemented two types of CBHI systems since 2005, one of which with a flat rate premium (2005-10) and the other with a stratified premium (2011-present). Existing CBHI evaluations have, however, tended to ignore the potential distributional aspects of the household contributions made towards CBHI. In this paper, we investigate the pattern of socioeconomic inequality in CBHI household premium contributions in Rwanda within the implementation periods. We also assess gender differences in CBHI contributions. Using the 2010/11 and 2013/14 rounds of national survey data, we quantify the magnitude of inequality in CBHI payments, decompose the concentration index of inequality, calculate Kakwani indices and implement unconditional quantile regression decomposition to assess gender differences in CBHI expenditure. We find that the CBHI with stratified premiums is less regressive than CBHI with a flat rate premium system. Decomposition analysis indicates that income and CBHI stratification explain a large share of the inequality in CBHI payments. With respect to gender, female-headed households make lower contributions towards CBHI expenditure, compared with male-headed households. In terms of policy implications, the results suggest that there may be a need for increasing the premium bracket for the wealthier households, as well as for the provision of more subsidies to vulnerable households.

Barriers to uptake of community-based health insurance in sub-Saharan Africa: a systematic review

In the past two decades, community-based Health Insurance (CBHI) is expanding in most of sub-Saharan African countries with the aim of improving equitable access to health services for the informal sector population. However, population enrolment into CBHI and membership renewals thereafter remains stubbornly low. The purpose of this systematic review is to generate an evidence to better understand barriers to uptake of CBHI in sub-Saharan African countries. We systematically searched for relevant studies from databases: PubMed, Scopus, Cumulative Index of Nursing and Allied Health Literature (CINAHL), PsychInfo, ProQest, Excerpta Medica dataBASE (EMBASE) and Africa-Wide Information. The search strategy combined detailed terms related to (i) CBHI, (ii) enrolment/renewal and (iii) sub-Saharan African countries. A narrative synthesis of findings was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The protocol for this systematic review was registered with International Prospective Register of Systematic Reviews (PROSPERO) (ref: CRD42020183959). The database search identified 4055 potential references from which 15 articles reporting on 17 studies met the eligibility criteria. The findings revealed that barriers to uptake of CBHI in sub-Saharan Africa were multidimensional in nature. Lack of awareness about the importance of health insurance, socio-economic factors, health beliefs, lack of trust towards scheme management, poor quality of health services, perceived health status and limited health benefit entitlements were reported as barriers that affect enrolments into CBHI and membership renewals. The methodological quality of studies included in this review has been found to be mostly suboptimal. The overall findings of this systematic review identified major barriers of CBHI uptake in sub-Saharan African countries which may help policymakers to make evidence-informed decisions. Findings of this review also highlighted that further research with a robust methodological quality, depth and breadth is needed to help better understand the factors that limit CBHI uptake at individual, societal and structural levels in sub-Saharan Africa.

Education and Experience as Determinants of Micro Health Insurance Enrolment

BACKGROUND

India faces a formidable challenge of providing universal health coverage to its uninsured population in the informal sector of the economy. Numerous micro health insurance (MHI) schemes have emerged as health financing mechanisms to reduce medical-illness-induced poverty. Existing research shows that the purchase of health insurance is most likely to be determined by health status, expected healthcare expenditure, and past health experiences in addition to socio-economic variables. We add to the understanding of various factors influencing enrolment in MHI from an Indian perspective.

METHODS

A survey was carried out to collect quantitative data in three districts in the state of Karnataka, India.

RESULTS

We show that education does not matter as significantly as experience does, in the determination of new insurance purchases. In other words, the importance of new insurance is not understood by those who are merely educated, but by those who have either fallen ill, or have previously seen the hazards of usurious borrowing.

CONCLUSION

Our study provides deeper insights into the role of usurious borrowing and past illness in determining insurance purchases and highlights the formidable challenge of financial sustainability in the MHI market of India.

Factors affecting enrollment status of households for community based health insurance in a resource-limited peripheral area in Southern Ethiopia. Mixed method

BACKGROUND

Despite the efforts made by the government of Ethiopia, the community-based health insurance (CBHI) enrollment rate failed to reach the potential beneficiaries. Therefore, this study aimed to assess the enrollment status of households for community-based health insurance and associated factors in peripheral areas of Southern Ethiopia.

METHODS

We conducted a community based cross-sectional study design with both quantitative and qualitative methods. Systematic random sampling was employed to select 820 households from 27, April to 12 June 2018. A pretested structured questionnaire, in-depth interview, and focus group discussion guiding tool were used to obtain information. A binary logistic regression model was used to assess the association between independent and outcome variables. A P-Value of less than 0.05 was taken as a cutoff to declare association in multivariable analysis. Qualitative data were analyzed manually using the thematic analysis method.

RESULTS

Out of 820 households, 273[33.30%; 95% CI: 29.9-36.20] were enrolled in the community based health insurance scheme. Having good knowledge [AOR = 13.97, 95%CI: 8.64, 22.60], having family size of greater than five [AOR = 1.88, 95% CI: 1.15, 3.06], presence of frequently ill individual [AOR = 3.90, 95% CI: 2.03, 7.51] and presence of chronic illness [AOR = 3.64, 95% CI: 1.67, 7.79] were positively associated with CBHI enrollment. In addition, poor quality of care, lack of managerial commitment, lack of trust and transparency, unavailability of basic logistics and supplies were also barriers for CBHI enrollment.

CONCLUSION AND RECOMMENDATION

The study found that lower community based health insurance enrollment status. A higher probability of CBHI enrollment among higher health care demanding population groups was observed. Poor perceived quality of health care, poor managerial support and lack of trust were found to be barriers for non-enrollment. Therefore, wide-range awareness creation strategies should be used to address adverse selection and poor knowledge. In addition, trust should be built among communities through transparent management. Furthermore, the quality of care being given in public health facilities should be improved to encourage the community to be enrolled in CBHI.

Perceived Quality of Healthcare and Availability of Supplies Determine Household-Level Willingness to Join a Community-Based Health Insurance Scheme in Amhara Region, Ethiopia

Purpose

The Ethiopian health system has been challenged by a shortage of funds and is heavily reliant on foreign donation. However, voluntary community-based health insurance (CBHI) has been implemented to reach and cover the very large agricultural sector since 2010. Thus, the level of acceptability of the scheme needs to be regularly assessed through households’ willingness to join before the nationwide rollout of the scheme. This study was intended to assess the level of willingness to join in community-based health insurance and associated factors in northwest Ethiopia.

Patients and Methods

Using a pretested structured questionnaire, a cross-sectional community-based study was conducted in 2017 in Amhara Region, northwest Ethiopia. Using a multi-stage sampling method, from 15 clusters in which CBHI was implemented, 1,179 households without CBHI membership were included as a sample for the study. Bivariable and multivariable logistic regression was fitted to assess the association between predictor variables and the outcome of interest.

Results

Out of the total (1,179) participants, 60.5% (713) were willing to join the scheme. Households’ occupation (AOR=2.26; 95% CI:=1.12–5.07), perceived good (AOR=2.21; 95% CI:=1.53−3.21), and medium (AOR=1.44; 95% CI=1.22–2.0) healthcare quality and richer wealth status (AOR=1.72; 95% CI=1.08–2.73) were associated with higher odds of willingness to join the scheme.

Conclusion

As The study revealed that level of willingness to join is lower compared to other studies. Therefore, social protection activities for the low-income population and enhancement of the capacity of health facilities are crucial.

Enrollment in community based health insurance program and the associated factors among households in Boricha district, Sidama Zone, Southern Ethiopia; a cross-sectional study

Background

In absence of any form of health insurance, out-of-pocket payments for health care lead to decreased use of health services and catastrophic health expenditures. Community-based health insurances has been promised financial model for informal sectors to reduce these problems in many countries. When this comes down to Ethiopia, in the South Nation Nationality People’s Region of the country established 52 schemes including Boricha district, the study area However, there has been little evidence about the enrollment status and the associated factors in the study area in particular elsewhere in general.

Objective

The study aims to assess the current enrollment status of households in community based health insurance and the associated factors in Boricha district of Sidama Zone, Southern Ethiopia.

Methods and materials

A community based cross-sectional study design was employed from February 01, 2019 to March 31, 2019, using a sample of 632 households. Data were collected using interviewer-administered pre-tested questionnaire and entered into EPI-Info 7and transported to SPSSversion20 for analysis. Multi-variable logistic regression analysis along with odds ratio and the corresponding 95% CI was conducted and significance was declared at P-value <0.05.

Results

Current enrollment status of households in community based health insurance was found to be 81 (12.8%). According to this study, educational status; secondary school& above[AOR = 2.749, 95%CI(1.142, 6.618)], timing of collecting premium [AOR = 0.433; 95% CI (0.196, 0.958)], family size ≥5, [AOR = 4.16;95%CI (1.337, 12.944)], no trust on scheme management[AOR = 0.272; 95%CI (0.140, 0.528)], lack of information [AOR = 0.086; 95%CI (0.026, 0.288)], dissatisfaction with health care service received[AOR = 0.303; 95%CI (0.171, 0.537)], no chronic illness in the family[AOR = 0.259; 95%C.I.(0.137, 0.488)] were factors significantly associated with current enrollment status in CBHI.

Conclusions

Households head’s education status, timing of premium collection, family size, no trust on scheme management, lack of information, services dissatisfaction and chronic illness in the family member were the identified factors associated with enrollment in CBHI in the study area. Therefore, to enhance the enrollment and sustainability of CBHI in the study area awareness creation, improving timing of premium collection, strengthening scheme management, improving quality of service are the areas that decision makers needs to intervene.

Impact of voluntary community-based health insurance on child stunting: Evidence from rural Uganda

While community-based health insurance increasingly becomes part of the health financing landscape in developing countries, there is still limited research about its impacts on health outcomes. Using cross-sectional data from rural south-western Uganda, we apply a two-stage residual inclusion instrumental variables method to study the impact of insurance participation on child stunting in under-five children. We find that one year of a household's participation in community-based health insurance was associated with a 4.3 percentage point less probability of stunting. Children of two years or less dominated the effect but there were also statistically significant benefits of enrolling in insurance after a child's birth. The expansion of community-based health insurance might have more dividends to improving health, in addition to financial protection and service utilisation in rural developing countries.

Determinants of health insurance enrolment in Ghana: evidence from three national household surveys

In 2003, Ghana implemented a National Health Insurance Scheme (NHIS) to move towards Universal Health Coverage. NHIS enrolment is mandatory for all Ghanaians, but the most recent estimates show that coverage stands under 40%. The evidence on the relationship between socio-economic characteristics and NHIS enrolment is mixed, and comes mainly from studies conducted in a few areas. Therefore, in this study we investigate the socio-economic determinants of NHIS enrolment using three recent national household surveys. We used data from the Ghanaian Demographic and Health Survey conducted in 2014, the Multiple Indicator Cluster Survey conducted in 2011 and the sixth wave of the Ghana Living Standard Survey conducted in 2012-13. Given the multilevel nature of the three databases, we use multilevel logistic regression models to estimate the probability of enrolment for women and men separately. We used three levels of analysis: geographical clusters, household and individual units. We found that education, wealth, marital status-and to some extent-age were positively associated with enrolment. Furthermore, we found that enrolment was correlated with the type of occupation. The analyses of three national household surveys highlight the challenges of understanding the complex dynamics of factors contributing to low NHIS enrolment rates. The results indicate that current policies aimed at identifying and subsidizing underprivileged population groups might insufficiently encourage health insurance enrolment.

Determinants of Enrolment and Renewing of Community-Based Health Insurance in Households With Under-5 Children in Rural South-Western Uganda

Background: The desire for universal health coverage in developing countries has brought attention to communitybased health insurance (CBHI) schemes in developing countries. The government of Uganda is currently debating policy for the national health insurance programme, targeting the integration of existing CBHI schemes into a larger national risk pool. However, while enrolment has been largely studied in other countries, it remains a generally under-covered issue from a Ugandan perspective. Using a large CBHI scheme, this study, therefore, aims at shedding more light on the determinants of households’ decisions to enrol and renew membership in these schemes.

Methods: We collected household data from 464 households in 14 villages served by a large CBHI scheme in southwestern Uganda. We then estimated logistic and zero-inflated negative binomial (ZINB) regressions to understand the determinants of enrolment and renewing membership in CBHI, respectively.

Results: Results revealed that household’s socioeconomic status, husband’s employment in rural casual work (odds ratio [OR]: 2.581, CI: 1.104-6.032) and knowledge of health insurance premiums (OR: 17.072, CI: 7.027-41.477) were significant predictors of enrolment. Social capital and connectivity, assessed by the number of voluntary groups a household belonged to, was also positively associated with CBHI participation (OR: 5.664, CI: 2.927-10.963). More positive perceptions on insurance (OR: 2.991, CI: 1.273-7.029), access to information were also associated with enrolment and renewing among others. Burial group size and number of burial groups in a village, were all significantly associated with increased the likelihood of renewing CBHI.

Conclusion: While socioeconomic factors remain important predictors of participation in insurance, mechanisms to promote inclusion should be devised. Improving the participation of communities can enhance trust in insurance and eventual coverage. Moreover, for households already insured, access to correct information and strengthening their social network information pathways enhances their chances of renewing.

Potential demand for voluntary community-based health insurance improvement in rural Lao People's Democratic Republic: A randomized conjoint experiment

INTRODUCTION

In Lao People's Democratic Republic (PDR), community-based health insurance (CBHI) is the only voluntary insurance scheme; it typically targets self-employed people, most of whom reside in rural areas and are dependent on agricultural activities for subsistence. However, until very recently, the enrollment rate has fallen short and failed to reach a large percentage of the target group. To promote the CBHI scheme and increase demand, some supporting components should be considered for inclusion together with the health infrastructure component.

OBJECTIVES

This paper provides empirical evidence that the benefit package components of hypothetical CBHI schemes have causal effects on enrollment probabilities. Furthermore, we examine the distribution of willingness to pay (WTP) in response to policy changes based on a sample of 5,800 observations.

METHODS

A randomized conjoint experiment is conducted in rural villages in Savannakhet Province, Lao PDR, to elicit stated preference data. Each respondent ranks three options-two hypothetical alternatives and the CBHI status quo scheme. The levels of seven attributes-insurance coverage for medical consultations, hospitalizations, traffic accidents, pharmaceuticals and transportation; premiums; and prepaid discounts-are randomly and simultaneously assigned to the two alternatives.

RESULTS

The findings suggest that the average WTP is at least as large as 10.9% of the per capita income of those who live in rural areas, which is higher than the WTP for health insurance averaged across low- and middle-income countries (LMICs) in the literature. The component of round-trip transportation insurance coverage has a significant effect on WTP distribution, particularly increasing the share of the highest bin.

CONCLUSION

Therefore, the low CBHI scheme enrollment rate in Lao PDR does not necessarily imply low demand among the targeted population, as the finding from the WTP analysis illustrates potential demand for the CBHI scheme. Specifically, if transportation is addressed, enrollment is likely to significantly increase.

The effect of consensus on demand for voluntary micro health insurance in rural India

INTRODUCTION

This study deals with examining factors that catalyze demand for community-based micro health insurance (MHI) schemes. We hypothesize that demand for health insurance is a collective decision in the context of informality and poverty. Our hypothesis challenges the classical theory of demand which posits individual expected diminishing utility. We examine factors beyond the traditional exogenous variables.

METHODS

This study uses data collected through a household survey conducted among self-help groups in rural India in the states of Uttar Pradesh and Bihar before the implementation of three community-based MHI schemes. Additional information was extracted from the management information system maintained by the schemes. At the first step, we compared the estimated probability of a household joining the scheme (obtained by applying logistic regression) to the actual uptake. In the next step, we analyzed the role of consensus within groups on demand for health insurance (by applying ordinary least square regressions).

RESULTS

The results of the logistic regressions indicated that exogenous household characteristics could not explain the probability of joining health insurance. We observed that group consensus on several critical issues, such as the price of the insurance, perceptions about exposure to adverse health events, and perceptions of the quality of service of local health care providers, was the important determinant of demand for insurance.

CONCLUSION

Based on the analysis, we reject the null hypothesis that demand is an individual decision at the household level. The analysis upholds the assumption that demand is created through a process of consensus building on perceptions of risk exposure, welfare gains from the insurance, and quality of local health care provision. Success in catalyzing demand for health insurance in the informal sector depends on encouraging group dialog.

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.

Barriers and facilitators to implementation, uptake and sustainability of community-based health insurance schemes in low- and middle-income countries: a systematic review

BACKGROUND

Community-based health insurance (CBHI) has evolved as an alternative health financing mechanism to out of pocket payments in low- and middle-income countries (LMICs), particularly in areas where government or employer-based health insurance is minimal. This systematic review aimed to assess the barriers and facilitators to implementation, uptake and sustainability of CHBI schemes in LMICs.

METHODS

We searched six electronic databases and grey literature. We included both quantitative and qualitative studies written in English language and published after year 1992. Two reviewers worked in duplicate and independently to complete study selection, data abstraction, and assessment of methodological features. We synthesized the findings based on thematic analysis and categorized according to the ecological model into individual, interpersonal, community and systems levels.

RESULTS

Of 15,510 citations, 51 met the eligibility criteria. Individual factors included awareness and understanding of the concept of CBHI, trust in scheme and scheme managers, perceived service quality, and demographic characteristics, which influenced enrollment and sustainability. Interpersonal factors such as household dynamics, other family members enrolled in the scheme, and social solidarity influenced enrollment and renewal of membership. Community-level factors such as culture and community involvement in scheme development influenced enrollment and sustainability of scheme. Systems-level factors encompassed governance, financial and delivery arrangement. Government involvement, accountability of scheme management, and strong policymaker-implementer relation facilitated implementation and sustainability of scheme. Packages that covered outpatient and inpatient care and those tailored to community needs contributed to increased enrollment. Amount and timing of premium collection was reported to negatively influence enrollment while factors reported as threats to sustainability included facility bankruptcy, operating on small budgets, rising healthcare costs, small risk pool, irregular contributions, and overutilization of services. At the delivery level, accessibility of facilities, facility environment, and health personnel influenced enrollment, service utilization and dropout rates.

CONCLUSION

There are a multitude of interrelated factors at the individual, interpersonal, community and systems levels that drive the implementation, uptake and sustainability of CBHI schemes. We discuss the implications of the findings at the policy and research level.

TRIAL REGISTRATION

The review protocol is registered in PROSPERO International prospective register of systematic reviews (ID =  CRD42015019812 ).

Government health insurance and spatial peer effects: New evidence from India

What is the role of spatial peers in diffusion of information about health care? We use the implementation of a health insurance program in Karnataka, India that provided free tertiary care to poor households to explore this issue. We use administrative data on location of patient, condition for which the patient was hospitalized and date of hospitalization (10,507 observations) from this program starting November 2009 to June 2011 for 19 months to analyze spatial and temporal clustering of tertiary care. We find that the use of healthcare today is associated with an increase in healthcare use in the same local area (group of villages) in future time periods and this association persists even after we control for (1) local area fixed effects to account for time invariant factors related to disease prevalence and (2) local area specific time fixed effects to control for differential trends in health and insurance related outreach activities. In particular, we find that 1 new hospitalization today results in 0.35 additional future hospitalizations for the same condition in the same local area. We also document that these effects are stronger in densely populated areas and become pronounced as the insurance program becomes more mature suggesting that word of mouth diffusion of information might be an explanation for our findings. We conclude by discussing implications of our results for healthcare policy in developing economies.

A Comparative Study on Outcome of Government and Co-Operative Community-Based Health Insurance in Nepal

Background

There are different models for community-based health insurance (CBHI), and in Nepal, among them, the government and the local communities (co-ops) are responsible for operating the CBHI models that are in practice.

Aims

The aim of this study is to compare the outcomes in relation to benefit packages, population coverage, inclusiveness, healthcare utilization, and promptness of treatment for the two types of CBHI models in Nepal.

Methods

This study was an observational and interactive descriptive study using the concurrent mixed approach of data collection, framing, and compilation. Quantitative data were collected from records, and qualitative data were collected from key informants in all 12 CBHI groups. Unstructured questionnaires, observation checklists, and memo notepads were used for data collection. Descriptive statistics and the Mann–Whitney U test were used when appropriate. Ethically, written informed consent was obtained from the respondents who participated in the study, and they were told that they could withdraw from the study anytime.

Results

The study revealed the following: new enrolment did not increase in either group; however, the healthcare utilization rate did (Government 107% and co-ops 137%), while the benefit packages remained almost same for both groups. Overall, inclusiveness was higher for the government group. For the CBHI co-ops, enrollment among the religious minority and the discount negotiated with the hospitals for treatment were significantly higher, and the promptness in reaching a hospital was significantly faster (p < 0.05) than that in the government-operated CBHI.

Conclusion

Findings indicate that CBHI through co-ops would be a better model because of its lower costs and ability to enhance self-responsiveness and the overall health system. Health insurance coverage is the most important component to achieve universal health coverage.

An in-depth investigation of the causes of persistent low membership of community-based health insurance: a case study of the mutual health organisation of Dar Naïm, Mauritania

BACKGROUND

Persistent low membership is observed in many community-based health insurance (CBHI) schemes in Africa. Causes for low membership have been identified and solutions suggested, but this did not result in increased membership. In this case study of the mutual health organisation of Dar Naïm in Mauritania we explore the underlying drivers that may explain why membership continued to stagnate although several plans for change had been designed.

METHODS

We used a systems approach focussed on processes, underlying dynamics and complex interactions that produce the outcomes, to delve into 10 years of data collected between 2003 and 2012. We used qualitative research methods to analyse the data and interpret patterns.

RESULTS

Direct causes of stagnation and possible solutions had been identified in the early years of operations, but most of the possible solutions were not implemented. A combination of reasons explains why consecutive action plans were not put into practice, showing the complexity of implementation and the considerable management capacity required, as well as the challenges of integrating a novel organisational structure into exiting social structures.

CONCLUSIONS

For any CBHI project aiming at high membership, skilled professional management seems essential, with capacity to question and adapt routine procedures and interpret interactions within the wider society. Countries that include community-based health insurance in their strategic plan towards universal coverage will have to pay more attention to management capacity and the minutiae of implementation.

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.

Community-based health insurance and communities' scheme requirement compliance in Thehuldere district, northeast Ethiopia: cross-sectional community-based study

BACKGROUND

Community-based health insurance (CBHI) is becoming a prominent and promising concept in tackling financial health care issues confronting the poor rural communities in developing countries. Ethiopia endorsed and constituted CBHI schemes in 13 pilot "woredas" in 2010/11. This study aimed to assess the compliance of the community to CBHI scheme requirements in Thehuledere district, northeast Ethiopia.

METHODS

A community-based cross-sectional study was conducted among 530 respondents between April and June 2015 in Thehuledere District, South Wollo Zone, northeast Ethiopia. A systematic random sampling technique was deployed to select the study participants. A self-administered, structured, pre-tested questionnaire was used to collect the data. Bivariate and multivariate logistic regression analyses were used to identify factors associated with CBHI compliance.

RESULTS

A total of 511 study participants were included in the study. Approximately 77.9% of the study population complied with CBHI requirements: members' age (AOR = 0.74, 95% CI: 0.62-0.8), premium fee affordability (AOR: 2.66, 95% CI: [1.13-4.42]), members' occupation (AOR = 0.14, 95% CI: 0.04-0.45), members' attitude toward CBHI management (AOR = 2.11 [1.14-3.90]), and CBHI members' knowledge (AOR = 0.24, 95% CI: [0.13-0.42]) were found to be major predictors of community compliance to CBHI requirements.

CONCLUSION

CBHI requirement compliance at the early stage was relatively high. We observed that members' age, premium fee affordability, occupation, attitude, and knowledge were significant predictors. CBHI management's involvement in awareness creation and training on requirements of the CBHI scheme would contribute to better outcomes and success.

Impact of community-based health insurance in rural India on self-medication & financial protection of the insured

BACKGROUND & OBJECTIVES

The evidence-base of the impact of community-based health insurance (CBHI) on access to healthcare and financial protection in India is weak. We investigated the impact of CBHI in rural Uttar Pradesh and Bihar s0 tates of India on insured households' self-medication and financial position.

METHODS

Data originated from (i) household surveys, and (ii) the Management Information System of each CBHI. Study design was "staggered implementation" cluster randomized controlled trial with enrollment of one-third of the treatment group in each of the years 2011, 2012 and 2013. Around 40-50 per cent of the households that were offered to enroll joined. The benefits-packages covered outpatient care in all three locations and in-patient care in two locations. To overcome self-selection enrollment bias, we constructed comparable control and treatment groups using Kernel Propensity Score Matching (K-PSM). To quantify impact, both difference-in-difference (DiD), and conditional-DiD (combined K-PSM with DiD) were used to assess robustness of results.

RESULTS

Post-intervention (2013), self-medication was less practiced by insured HHs. Fewer insured households than uninsured households reported borrowing to finance care for non-hospitalization events. Being insured for two years also improved the HH's location along the income distribution, namely insured HHs were more likely to experience income quintile-upgrade in one location, and less likely to experience a quintile-downgrade in two locations.

INTERPRETATION & CONCLUSIONS

The realized benefits of insurance included better access to healthcare, reduced financial risks and improved economic mobility, suggesting that in our context health insurance creates welfare gains. These findings have implications for theoretical, ethical, policy and practice considerations.

The need for better evidence to evaluate the health & economic benefits of India's Rashtriya Swasthya Bima Yojana

In this review the existing evidence on the impact of Rashtriya Swasthya Bima Yojana (RSBY) is discussed in the context of international literature available on health insurance. We describe potential pathways through which health insurance can affect health and economic outcomes, discuss evidence from other developing countries, and identify potential biases and inconsistencies in existing studies on RSBY impact. Given the relatively recent introduction of RSBY, lack of quality, verifiable data on utilization patterns, and the absence of reliable evaluation studies, there is a need to exercise caution while assessing the merits of the programme. Considering the enormous potential and cost of the programme, we emphasize the need for a rigorous impact evaluation of RSBY. It will not only help capture the real impact of the scheme, but may also be able to estimate the extent of systemic inefficiencies at the level of the consumer.

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.

Impact of Community-based Health Insurance on Access and Financial Protection: Evidence from Three Randomized Control Trials in Rural India

Since the 1990s, community-based health insurance (CBHI) schemes have been proposed to reduce the financial consequences of illness and enhance access to healthcare in developing countries. Convincing evidence on the ability of such schemes to meet their objectives is scarce. This paper uses randomized control trials conducted in rural Uttar Pradesh and Bihar (India) to evaluate the effects of three CBHI schemes on healthcare utilization and expenditure. We find that the schemes have no effect on these outcomes. The results suggest that CBHI schemes of the type examined in this paper are unlikely to have a substantial impact on access and financial protection in developing countries. Copyright © 2015 John Wiley & Sons, Ltd.

Healthcare seeking behaviour among self-help group households in Rural Bihar and Uttar Pradesh, India

Background

In recent years, supported by non-governmental organizations (NGOs), a number of community-based health insurance (CBHI) schemes have been operating in rural India. Such schemes design their benefit packages according to local priorities. This paper examines healthcare seeking behaviour among self-help group households with a view to understanding the implications for the benefit packages offered by such schemes.

Methods

We use cross-sectional data collected from two of India’s poorest states and estimate an alternative-specific conditional logit model to examine healthcare seeking behaviour.

Results

We find that the majority of respondents do access some form of care and that there is overwhelming use of private providers. Non-degree allopathic providers (NDAP) also called rural medical practitioners are the most popular providers. In the case of acute illnesses, proximity plays an important role in determining provider choice. For chronic illnesses, cost of care influences provider choice.

Conclusion

Given the importance of proximity in determining provider choice, benefit packages offered by CBHI schemes should consider coverage of transportation costs and reimbursement of foregone earnings.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-015-1254-9) contains supplementary material, which is available to authorized users.

Economic consequences of ill-health for households in northern rural India

BACKGROUND

As compared to other countries in South East Asia, India's health care system is characterized by very high out of pocket payments, and consequently low financial protection and access to care. This paper describes the relative importance of ill-health compared to other adverse events, the conduits through which ill-health affects household welfare and the coping strategies used to finance these expenses.

METHODS

Cross-sectional data are used from a survey conducted with 5241 households in Uttar Pradesh and Bihar in 2010 that included a household shocks module and detailed information about health care use and spending.

RESULTS

Health-related adverse events were the second most common adverse events (34%), after natural disasters (51%). Crop and livestock disease and weddings each affected about 8% of households. Only a fourth of households reported to have recovered from illness and/or death in the family (by the time of the survey). Most of the households' economic burden related to ill-health was depending on direct medical costs, but indirect costs (such as lost earnings and transportation or food costs) were also not negligible. Close to half of the health expenditures were made for chronic conditions. Households tried to cope with health-related expenditures mostly by dissaving, borrowing and selling assets. Few households reported having to reduce (food) consumption in response to ill-health.

CONCLUSIONS

In the absence of pre-financing schemes, ill-health events pose a substantial threat to household welfare in rural India. While most households seem to be able to smooth consumption in the short term, coping strategies like selling assets and borrowing from moneylenders are likely to have severe long term consequences. As most of the households' economic risk related to ill-health appears to depend on out of pocket spending, introducing health insurance may contribute significantly to alleviate economic hardship for families in rural India. The importance of care for chronic diseases, however, represents a big challenge for the sustainability of community based health insurance schemes, since it is necessary to ensure a sufficient degree of risk pooling.

"One for all and all for one": consensus-building within communities in rural India on their health microinsurance package

Introduction

This study deals with consensus by poor persons in the informal sector in rural India on the benefit-package of their community-based health insurance (CBHI). In this article we describe the process of involving rural poor in benefit-package design and assess the underlying reasons for choices they made and their ability to reach group consensus.

Methods

The benefit-package selection process entailed four steps: narrowing down the options by community representatives, plus three Choosing Healthplans All Together (CHAT) rounds conducted among female members of self-help groups. We use mixed-methods and four sources of data: baseline study, CHAT exercises, in-depth interviews, and evaluation questionnaires. We define consensus as a community resolution reached by discussion, considering all opinions, and to which everyone agrees. We use the coefficient of unalikeability to express consensus quantitatively (as variability of categorical variables) rather than just categorically (as a binomial Yes/No).

Findings

The coefficient of unalikeability decreased consistently over consecutive CHAT rounds, reaching zero (ie, 100% consensus) in two locations, and confirmed gradual adoption of consensus. Evaluation interviews revealed that the wish to be part of a consensus was dominant in all locations. The in-depth interviews indicated that people enjoyed the participatory deliberations, were satisfied with the selection, and that group decisions reflected a consensus rather than majority. Moreover, evidence suggests that pre-selectors and communities aimed to enhance the likelihood that many households would benefit from CBHI.

Conclusion

The voluntary and contributory CBHI relies on an engaging experience with others to validate perceived priorities of the target group. The strongest motive for choice was the wish to join a consensus (more than price or package-composition) and the intention that many members should benefit. The degree of consensus improved with iterative CHAT rounds. Harnessing group consensus requires catalytic intervention, as the process is not spontaneous.

Non-degree allopathic practitioners as first contact points for acute illness episodes: insights from a qualitative study in rural northern India

BACKGROUND

In 2005, the Indian government launched the National Rural Health Mission (NRHM) to improve the quality of and access to rural public health care. Despite these efforts, recent evidence shows that the rural poor continue to primarily consult private non-degree allopathic practitioners (NDAPs) for acute illness episodes. To examine this phenomenon, we explore the rural poor's perception and utilization of the rural health care system and the role and accessibility of NDAPs therein.

METHODS

Our study is based on qualitative data from focus group discussions conducted in three rural districts in Bihar and Uttar Pradesh, two high-focus states of the NRHM in northern India, in 2009/2010. Our study population consists of female micro-credit self-help group members and their male household heads. We apply a directed content analysis and use a theoretical framework to differentiate between physical, financial and cultural access to care.

RESULTS

Our study population distinguishes between "home treatment" (informal self-care), "local treatment" (formally unqualified care) and "outside treatment" (formally qualified care). Because of their proximity, flexible payment options and familiarity with patients' belief systems, among other things, local NDAPs are physically, financially and culturally accessible. They are usually the first contact points for patients before turning to qualified practitioners, and treat minor illnesses, provide first relief, refer patients to other providers and administer formally prescribed treatments.

CONCLUSION

Our findings are similar for all three study sites and reinforce recent findings from southern and eastern India. The poor's understanding and utilization of the rural health system deviates from governmental ideas. Because of their embeddedness in the community, private NDAPs are the most accessible medical providers and first contact points for acute illness episodes. Thus, they de-facto fulfill the role envisaged by the Indian government for accredited social health activists introduced as part of the NRHM. We conclude that instead of trying to replace NDAPs with public initiatives, the Indian government should regulate, qualify and integrate them as part of the existing public health care system. This way, we argue, India can improve the rural poor's access to formally qualified practitioners.