The Socioeconomic and Institutional Determinants of Participation in India's Health Insurance Scheme for the Poor

From Hesitancy to Acceptance: An Interpretative Approach to Unravel the Vaccination Motivation Among the Rural Population

Our study focuses on vaccination decisions within a collectivistic framework, prioritizing social and behavioral factors over individualistic views amidst COVID-19. Integrating behavioral biases and social ties, we inform targeted public health communication strategies. Examining vaccine uptake in rural India, we use Interpretative Phenomenological Analysis (IPA) to interpret deviations, capturing personal experiences and biases. Through the COM-B model and 25 interviews, we uncover motivations influenced by individual, family, and community factors. Synthesizing findings, we propose tailored public health communication grounded in behavioral psychology. Rather than disregarding biases, we explore their implications for effective interventions. This research advances health communication, particularly benefiting lower-middle-income countries with non-pharmacological approaches.

Measurement of Catastrophic Health Expenditure in India: A Systematic Review and Meta-Analysis

INTRODUCTION

The escalating burden of catastrophic health expenditure (CHE) poses a significant threat to individuals and households in India, where out-of-pocket expenditure (OOP) constitutes a substantial portion of healthcare financing. With rising OOP in India, a proper measurement to track and monitor CHE due to health expenditure is of utmost important. This study focuses on synthesizing findings, understanding measurement variations, and estimating the pooled incidence of CHE by health services, reported diseases, and survey types.

METHOD

Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a thorough search strategy was employed across multiple databases, between 2010 and 2023. Inclusion criteria encompassed observational or interventional studies reporting CHE incidence, while exclusion criteria screened out studies with unclear definitions, pharmacy revenue-based spending, or non-representative health facility surveys. A meta-analysis, utilizing a random-effects model, assessed the pooled CHE incidence. Sensitivity analysis and subgroup analyses were conducted to explore heterogeneity.

RESULTS

Out of 501 initially relevant articles, 36 studies met inclusion criteria. The review identified significant variations in CHE measurements, with incidence ranging from 5.1% to 69.9%. Meta-analysis indicated the estimated incidence of CHE at a 10% threshold is 0.30 [0.25-0.35], indicating a significant prevalence of financial hardship due to health expenses. The pooled incidence is estimated by considering different sub-groups. No statistical differences were found between inpatient and outpatient CHE. However, disease-specific estimates were significantly higher (52%) compared to combined diseases (21%). Notably, surveys focusing on health reported higher CHE (33%) than consumption surveys (14%).

DISCUSSION

The study highlights the intricate challenges in measuring CHE, emphasizing variations in recall periods, components considered in out-of-pocket expenditure, and diverse methods for defining capacity to pay. Notably, the findings underscore the need for standardized definitions and measurements across studies. The lack of uniformity in reporting exacerbates the challenge of comparing and comprehensively understanding the financial burden on households.

South Asia's unprotected poor: A systematic review of why social protection programs fail to reach their potential

The incongruity between South Asia's economic growth and extreme poverty has led to a growing interest in social protection and subsequent implementation of anti-poverty initiatives. However, many programs have consistently fallen short of their full potential in reaching the poor. We reviewed the literature to understand the factors behind this failure. A search of EconLit, Global Health Database, MEDLINE and SocINDEX, supplemented by an external search, yielded 42 papers evaluating 23 programs. Inclusion criteria included social and political determinants of program outcomes. Articles were assessed for quality using the GRADE and GRADE CERQual criteria and analyzed using Thomas & Harding's thematic synthesis approach. We identified five themes: (1) structurally flawed program theories overlook the complexities of poverty and are rooted in simplistic cause-and-effect approaches; (2) elite capture through appropriation of benefits, powerful positioning in program implementation, and gatekeeping through relationships of patronage; (3) insufficient targeting strategies to reach the poorest; (4) neglect of gendered restrictions, hidden costs, lack of legal documentation, and physical and social exclusion; (5) active self-exclusion from social protection to maintain dignity, a perception that programs are substandard, and a lack of resources required. The review highlights the well-documented disconnect between South Asian social protection program designs and the ground realities of their 'ideal' beneficiaries. This stems from a dominance of Western-led poverty discourse that disregards the influence of caste, the challenge of effective engagement with a group whose identity remains unclear, and fast-paced funding calls that do not lend themselves to meaningful identification and collaboration with the invisible poor. We suggest this disconnect is intentional and reflects a broader power dynamic rooted in geopolitical interests and national priorities. Study limitations reflect the shortcomings of the existing literature, which largely uses quantitative research methods that fail to capture the multidimensional experiences of the poor.

Out-of-Pocket Expenditure for Selected Surgeries in the Cardiology Department for Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY), Private Health Insurance, and Uninsured Patients in a Tertiary Care Teaching Hospital in Karnataka, India

INTRODUCTION

Cardiovascular diseases are a major public health issue and the leading cause of mortality globally. The global economic burden of out-of-pocket expenditure (OOPE) for cardiovascular surgeries and procedures is substantial, with average costs being significantly higher than other treatments. This imposes a heavy economic burden. Government insurance schemes like Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) aim to enhance affordability and access to cardiac care.

METHODOLOGY

This retrospective study analyzed OOPE incurred for top cardiac surgeries under AB-PMJAY, private insurance, and uninsured patients at a tertiary care teaching hospital in Karnataka. Data of 1021 patients undergoing common cardiac procedures from January to July 2023 were analyzed using descriptive statistics (mean, median) and the Shapiro-Wilk test for normality. The study aims to evaluate financial risk protection offered by AB-PMJAY compared to private plans and inform effective policy-making in reducing the OOPE burden for surgeries in India.

RESULTS

The study analyzed OOPE across 1021 patients undergoing any of four surgeries at a tertiary care teaching hospital in Karnataka. AB-PMJAY patients incurred zero OOPE across all surgeries. Uninsured patients faced the highest median OOPE, ranging from ₹1,15,292 (1390.57 USD) to ₹1,72,490 (2080.45 USD) depending on surgery type. Despite the presence of private insurance, the median out-of-pocket expenditure ranged from ₹1,689 (20.38 USD) to ₹68,788 (829.67 USD). Significant variations in OOPE were observed within different payment groups. Private insurance in comparison with AB-PMJAY had limitations like co-payments, deductibles, and limited coverage resulting in higher OOPE for patients.

DISCUSSION

The results illustrate the efficacy of AB-PMJAY in reducing the financial burden and improving the affordability of cardiac procedures compared to private insurance. This emphasizes the significance of programmmes funded by the government in reducing the OOPE burden and ensuring equitable healthcare access. The comprehensive and particular estimates of OOPE for different surgical procedures, categorized by payment methods provide valuable information to guide the development of policies that aim to reduce OOPE and progress toward universal health coverage in India.

Health insurance and child mortality: Evidence from India

Although less than a third of the population in developing countries is covered by health insurance, the number has been on the rise. Many countries have implemented national insurance policies in the past decade. However, there is limited evidence on their impact on child mortality in low- and middle-income contexts. Here we document the child mortality reducing effects of an at-scale national level health insurance policy in India. The Rashtriya Swasthya Bima Yojana (RSBY), was rolled out across India between 2008 and 2013. Leveraging the temporal and spatial variation in program implementation, we demonstrate that it lowered infant mortality by 6% and child under five mortality by 5%. The effects are largely concentrated among urban poor households. In terms of mechanisms, we find that the program effects seem to be driven by increased usage of reproductive health services by mothers. We also demonstrate a rise in usage of complementary health services that were were not covered under the policy (such as child immunizations), which suggests that RSBY had significant positive spillover effects on health care usage.

Health and health system effects on poverty: A narrative review of global evidence

Ill-health causes poverty. The effect runs through multiple mechanisms that span lifetimes and cross generations. Health systems can reduce poverty by improving health and weakening links from ill-health to poverty. This paper maps routes through which ill-health can cause poverty and identifies those that are potentially amenable to health policy. The review confirms that ill-health is an important contributor to poverty and it finds that the effect through health-related loss of earnings is often larger than that through medical expenses. Both effects are smaller in countries that are closer to universal health coverage and have higher social safety nets. The paper also reviews evidence from low- and middle-income countries (LMICs) and the United States (US) on the poverty-reduction effectiveness of public health insurance (PubHI) for low-income households. This reveals that PubHI does not always deliver financial protection to its targeted population in LMICs. Countries that have succeeded in achieving this goal often combine extension of coverage with supply-side interventions to build capacity and avoid perverse provider incentives in response to insurance. In the US, PubHI is effective in reducing poverty by shielding low-income households with children from healthcare costs and, consequently, generating long-run improvements in health that increase lifetime earnings. Poverty reduction is a potentially important co-benefit of health systems.

A step closer towards achieving universal health coverage: the role of gender in enrolment in health insurance in India

BACKGROUND

There is limited understanding of how universal health coverage (UHC) schemes such as publicly-funded health insurance (PFHI) benefit women as compared to men. Many of these schemes are gender-neutral in design but given the existing gender inequalities in many societies, their benefits may not be similar for women and men. We contribute to the evidence by conducting a gender analysis of the enrolment of individuals and households in India's national PFHI scheme, Rashtriya Swasthya Bima Yojana (RSBY).

METHODS

We used data from a cross-sectional household survey on RSBY eligible families across eight Indian states and studied different outcome variables at both the individual and household levels to compare enrolment among women and men. We applied multivariate logistic regressions and controlled for several demographic and socio-economic characteristics.

RESULTS

At the individual level, the analysis revealed no substantial differences in enrolment between men and women. Only in one state were women more likely to be enrolled in RSBY than men (AOR: 2.66, 95% CI: 1.32-5.38), and this pattern was linked to their status in the household. At the household level, analyses revealed that female-headed households had a higher likelihood to be enrolled (AOR: 1.36, 95% CI: 1.14-1.62), but not necessarily to have all household members enrolled.

CONCLUSION

Findings are surprising in light of India's well-documented gender bias, permeating different aspects of society, and are most likely an indication of success in designing a policy that did not favour participation by men above women, by mandating spouse enrolment and securing enrolment of up to five family members. Higher enrolment rates among female-headed households are also an indication of women's preferences for investments in health, in the context of a conducive policy environment. Further analyses are needed to examine if once enrolled, women also make use of the scheme benefits to the same extent as men do. India is called upon to capitalise on the achievements of RSBY and apply them to newer schemes such as PM-JAY.

Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data

INTRODUCTION

The provision of non-contributory public health insurance (NPHI) to marginalised populations is a critical step along the path to universal health coverage. We aimed to assess the extent to which Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (PM-JAY)-potentially, the world's largest NPHI programme-has succeeded in raising health insurance coverage of the poorest two-fifths of the population of India.

METHODS

We used nationally representative data from the National Family Health Survey on 633 699 and 601 509 households in 2015-2016 (pre-PM-JAY) and 2019-2021 (mostly, post PM-JAY), respectively. We stratified by urban/rural and estimated NPHI coverage nationally, and by state, district and socioeconomic categories. We decomposed coverage variance between states, districts, and households and measured socioeconomic inequality in coverage. For Uttar Pradesh, we tested whether coverage increased most in districts where PM-JAY had been implemented before the second survey and whether coverage increased most for targeted poorer households in these districts.

RESULTS

We estimated that NPHI coverage increased by 11.7 percentage points (pp) (95% CI 11.0% to 12.4%) and 8.0 pp (95% CI 7.3% to 8.7%) in rural and urban India, respectively. In rural areas, coverage increased most for targeted households and pro-rich inequality decreased. Geographical inequalities in coverage narrowed. Coverage did not increase more in states that implemented PM-JAY. In Uttar Pradesh, the coverage increase was larger by 3.4 pp (95% CI 0.9% to 6.0%) and 4.2 pp (95% CI 1.2% to 7.1%) in rural and urban areas, respectively, in districts exposed to PM-JAY and the increase was 3.5 pp (95% CI 0.9% to 6.1%) larger for targeted households in these districts.

CONCLUSION

The introduction of PM-JAY coincided with increased public health insurance coverage and decreased inequality in coverage. But the gains cannot all be plausibly attributed to PM-JAY, and they are insufficient to reach the goal of universal coverage of the poor.

Evolution of Government-funded health insurance for universal health coverage in India

India has run multiple Government-Funded Health Insurance schemes (GFHIS) over the past decades to ensure affordable healthcare. We assessed GFHIS evolution with a special focus on two national schemes - Rashtriya Swasthya Bima Yojana (RSBY) and Pradhan Mantri Jan Arogya Yojana (PMJAY). RSBY suffered from a static financial coverage cap, low enrollment, inequitable service supply, utilization, etc. PMJAY expanded coverage and mitigated some of RSBY's drawbacks. Investigating equity in PMJAY's supply and utilization across geography, sex, age, social groups, and healthcare sectors depicts several systemic skews. Kerala and Himachal Pradesh with low poverty and disease burden use more services. Males are more likely to seek care under PMJAY than females. Mid-age population (19-50 years) is a common group availing services. Scheduled Caste and Scheduled Tribe people have low service utilization. Most hospitals providing services are private. Such inequities can lead the most vulnerable populations further into deprivation due to healthcare inaccessibility.

UTILIZATION AND CHOICE OF HEALTH CARE: EMPIRICAL EVIDENCE FROM INDIA

Utilization and choice of health care services are two important decision-making issues once an individual perceives or realizes illness. Identifying and measuring the factors that influence health care utilization and choice are important concern for policy makers, to reduce health system inequality. Both demand and supply side factors influence the above-mentioned choice decisions. However, the nature and severity of illness can also affect the above choice decisions. This study has identified and measured the role of disease specification as an important determinant of choice decision along with its influence on other factors. This study also explored the regional and socio-economic variation of factors which hinder the utilization of government-provided health care services. Analyzing the data of women and child household members, the study found that disease specification affects the choice of health care provider and even influences the role of other important factors.

Wealth Status and Health Insurance Enrollment in India: An Empirical Analysis

Since 2005, health insurance (HI) coverage in India has significantly increased, largely because of the introduction of government-funded pro-poor insurance programs. As a result, the determinants of HI enrollment and their relative importance may have changed. Using National Family Health Survey (NFHS)-4 data, collected in 2015-2016, and employing a Probit regression model, we re-examine the determinants of household HI enrollment. Then, using a multinomial logistic regression model, we estimate the relative risk ratio for enrollment in different HI schemes. In comparison to the results on the determinants of HI enrollment using the NFHS data collected in 2005-2006, we find a decrease in the wealth gap in public HI enrollment. Nonetheless, disparities in enrollment remain, with some changes in those patterns. Households with low assets have lower enrollments in private and community-based health insurance (CBHI) programs. Households with a higher number of dependents have a higher likelihood of HI enrollment, especially in rural areas. In rural areas, poor Scheduled Caste and Scheduled Tribe households are more likely to be enrolled in public HI than the general Caste households. In urban areas, Muslim households have a lower likelihood of enrollment in any HI. The educational attainment of household heads is positively associated with enrollment in private HI, but it is negatively associated with enrollment in public HI. Since 2005-2006, while HI coverage has improved, disparities across social groups remain.

Awareness of India's national health insurance scheme (PM-JAY): a cross-sectional study across six states

The literature suggests that a first barrier towards accessing benefits of health insurance in low- and middle-income countries is lack of awareness of one's benefits. Yet, across settings and emerging schemes, limited scientific evidence is available on levels of awareness and their determinants. To fill this gap, we assessed socio-demographic and economic determinants of beneficiaries' awareness of the Pradhan Mantri Jan Arogya Yojana (PM-JAY), the national health insurance scheme launched in India in 2018, and their awareness of own eligibility. We relied on cross-sectional household (HH) survey data collected in six Indian states between 2019 and 2020. Representative data of HHs eligible for PM-JAY from 11 618 respondents (an adult representative from each surveyed HH) were used. We used descriptive statistics and multivariable logistic regression models to explore the association between awareness of PM-JAY and of one's own eligibility and socio-economic and demographic characteristics. About 62% of respondents were aware of PM-JAY, and among the aware, 78% knew that they were eligible for the scheme. Regression analysis confirmed that older respondents with a higher educational level and salaried jobs were more likely to know about PM-JAY. Awareness was lower among respondents from Meghalaya and Tamil Nadu. Respondents from Other Backward Classes, of wealthier socio-economic status or from Meghalaya or Gujarat were more likely to be aware of their eligibility status. Respondents from Chhattisgarh were less likely to know about their eligibility. Our study confirms that while more than half of the eligible population was aware of PM-JAY, considerable efforts are needed to achieve universal awareness. Socio-economic gradients confirm that the more marginalized are still less aware. We recommend implementing tailored, state-specific information dissemination approaches focusing on knowledge of specific scheme features to empower beneficiaries to demand their entitled services.

A Critical Analysis of the World's Largest Publicly Funded Health Insurance Program: India's Ayushman Bharat

Background

Launched in September 2018, the ABPMJAY is the world's largest publicly funded health insurance (PFHI) program with population coverage of 500 million. A systematic review was conducted.

Methods

A comprehensive literature search was conducted in four databases: PubMed, Web of Science, Scopus, and Google Scholar. The literature search was conducted with the search terms: "Ayushman Bharat OR ABPMJAY OR modicare AND RSBY." The search was set to title and abstract. Gray literature and government websites were also searched for relevant documents. A total of 881 documents were identified (PubMed: 53, Web of Science: 46, Scopus: 97, Google Scholar: 681, government websites: two, and gray literature: two). Fifty-two duplicates were identified. After the elimination of the duplicates, 829 unique documents were identified. These 829 unique citations were then subjected to a review of title and abstract independently by 2 reviewers. Six-hundred and ninety-two articles were rejected after review of title and abstract. One-hundred and thirty-seven articles were screened for full text independently by two reviewers. Sixty-six articles were rejected after review of the full text. Disagreements were resolved by discussion. Seventy-one unique articles were included in the final review. To attain the objective of the study, which is to critically analyze and provide an overview of Ayushman Bharat, a narrative synthesis was performed.

Results

Seven themes were identified from the review: (1) health and wellness centers (HWCs); (2) out-of-pocket health expenditure (OOPHE); (3) fraud; (4) upcoding and provision of unnecessary medical care; (5) moving focus away from primary care; (6) coverage; and (7) lop-sided access, exclusion at the periphery, and brain drain. There is very little impact evidence of the ABPMJAY available.

Conclusions

The government could plan impact evaluation studies in every state that the ABPMJAY is functional in. Any high-quality feedback generated might enable the National Health Authority, the government body leading and coordinating the ABPMJAY, to take necessary steps operationally and advice the government on strategy. Another concern is that the ABPMJAY PFHI might negatively impact the ongoing process of continuous strengthening and development of the government health-care system at all levels-primary, secondary, and tertiary. Continual recalibration and course corrections on the basis of high-quality feedback might enable ABPMJAY reduce catastrophic OOPHE for 500 million Indians. This is more than 6% of humanity: the largest block of people served by a single PFHI in history.

Explaining Caste-Based Disparities in Enrollment for National Health Insurance Program in India: a Decomposition Analysis

BACKGROUND

Caste plays a significant role in individual healthcare access and health outcomes in India. Discrimination against low-caste communities contributes to their poverty and poor health outcomes. The Rashtriya Swasthya Bima Yojana (RSBY), a national health insurance program, was created to improve healthcare access for the poor. This study accounts for caste-based disparities in RSBY enrollment in India by decomposing the contributions of relevant factors.

METHODS

Using the data from the 2015-2016 round of the National Family Health Survey, we compare RSBY enrollment rates of low-caste and high-caste households. We use a non-linear extension of Oaxaca-Blinder decomposition and estimate two models by pooling coefficients across the comparison groups and all caste groups. Enrollment differentials are decomposed into individual- and household-level characteristics, media access, and state-level fixed effects, allowing 2000 replications and random ordering of variables.

RESULTS

The analysis of 480,766 households show that scheduled tribe households have the highest enrollment (18.85%), followed by 14.13% for scheduled caste, 10.67% for other backward caste, and 9.33% for high caste. Household factors, family head's characteristics, media access, and state-level fixed effects account for a 32% to 52% gap in enrollment. More specifically, the enrollment gaps are attributable to differences in wealth status, educational attainment, residence, family size, dependency ratio, media access, and occupational activities of the households.

CONCLUSIONS

Weaker socio-economic status of low-caste households explains their high RSBY enrollments.

The trust and insurance models of healthcare purchasing in the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana in India: early findings from case studies of two states

BACKGROUND

The Pradhan Mantri Jan Arogya Yojana (PMJAY), a publicly funded health insurance scheme for the poor in India, was launched in 2018. Early experiences of states with various purchasing arrangements can provide valuable insights for its future performance. We sought to understand the institutional agencies and performance of the trust and insurance models of purchasing with respect to; a) Provider contracting b) Claim management c) Implementation costs.

METHODS

A mixed methods case study design was adopted. Two states, Uttar Pradesh (representing a trust model) and Jharkhand (representing the insurance model) were purposively selected. Data sources included document reviews, key informant interviews, quantitative scheme data from the provider empanelment and claims database, and primary data on costs. Descriptive statistics were reported for quantitative data, content analysis was used for thematic reporting of qualitative data.

RESULTS

In both models, the state was the final authority on empanelment decisions, with no significant influence of the insurance company. Private hospitals constituted the majority of empanelled providers, with wide variations in district-wise distribution of bed capacities in both states. The urgency of completing empanelment in the early days of the scheme created the need for both states to re-review hospitals and de-empanel those not meeting requirements. Very few quality- accredited private hospitals were empaneled. The trust displayed more oversight of support agencies for claim management, longer processing times, a higher claim rejection rate and numbers of queries raised, as compared to the insurance model. Support agencies in both states faced challenges in assessing the clinical decisions of hospitals. Cost-effectiveness showed mixed results; the trust cost less than the insurance model per beneficiary enrolled, but more per claim generated.

CONCLUSIONS

Efforts are required to enable a better distribution and ensure quality of care in empanelled hospitals. The adoption of standard treatment guidelines is needed to support hospitals and implementing agencies in better claim management. The oversight of agencies through enforcement of contracts remains vital in both models. Assessing the comparative performance of trusts and insurance companies in more states at later stages of scheme implementation, would be further useful to determine their cost-effectiveness as purchasers.

Public health facility quality and child immunization outcomes in rural India: A decomposition analysis

Universal coverage of routine childhood vaccines remains a challenge in many low- and middle-income countries (LMICs). In India, vaccination campaigns have increased full immunization coverage among 12-23 month old children from an estimated 62% in 2015-2016 to 76% in 2019-2020. Long-term improvements in coverage will likely require systemic changes to both the supply and demand sides of immunization programs. However, the effect of health system inputs on child vaccination outcomes remains poorly quantified in India. We examined the association between the quality of public health facilities and child vaccination outcomes in rural India using data from the nationally representative Integrated Child Health and Immunization Survey (2015-2016) which covered 1,346 public primary health sub-centers and 44,571 households. We constructed two indices of sub-center quality using multiple correspondence analysis: one related to the general health infrastructure quality and the other measuring vaccine service delivery. Using probit regression, we analyzed the relationship between vaccination outcomes in children under 2 years of age and sub-center quality, controlling for household socioeconomic characteristics. Additionally, we conducted Fairlie decomposition analysis by wealth group - bottom wealth quintile relative to the top four wealth quintiles- to examine factors contributing to gaps in immunization between rich and poor households. Infrastructure quality index was positively associated with completion of seven vaccination outcomes: full immunization, DPT-1 (first dose of diphtheria, pertussis, and tetanus), DPT-2, DPT-3, Bacillus Calmette-Guérin (BCG), hepatitis B (birth dose), and on-time vaccination (OTV). Vaccine service delivery index was positively associated with completion of measles vaccination. The distribution of infrastructure quality contributed to increased gaps in full immunization and OTV between rich and poor households, while greater proximity to vaccination site for poorer households reduced these gaps. Improved quality of health facilities, particularly facilities used by low-income households, may improve vaccination outcomes.

Improving hospital-based processes for effective implementation of Government funded health insurance schemes: evidence from early implementation of PM-JAY in India

Background

Government-sponsored health insurance schemes (GSHIS) aim to improve access to and utilization of healthcare services and offer financial protection to the population. India’s Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY) is one such GSHIS. This paper aims to understand how the processes put in place to manage hospital-based transactions, from the time a beneficiary arrives at the hospital to discharge are being implemented in PM-JAY and how to improve them to strengthen the scheme’s operation.

Methods

Guidelines were reviewed for the processes associated with hospital-based transactions, namely, beneficiary authentication, treatment package selection, preauthorization, discharge, and claims payments. Across 14 hospitals in Gujarat and Madhya Pradesh states, the above-mentioned processes were observed, and using a semi-structured interview guide fifty-three respondents were interviewed. The study was carried out from March 2019 to August 2019.

Results

Average turn-around time for claim reimbursement is two to six times higher than that proposed in guidelines and tender. As opposed to the guidelines, beneficiaries are incurring out-of-pocket expenditure while availing healthcare services. The training provided to the front-line workers is software-centric. Hospital-based processes are relatively more efficient in hospitals where frontline workers have a medical/paramedical/managerial background.

Conclusions

There is a need to broaden capacity-building efforts from enabling frontline staff to operate the scheme’s IT platform to developing the technical, managerial, and leadership skills required for them. At the hospital level, an empowered frontline worker is the key to efficient hospital-based processes. There is a need to streamline back-end processes to eliminate the causes for delay in the processing of claim payment requests. For policymakers, the most important and urgent need is to reduce out-of-pocket expenses. To that end, there is a need to both revisit and streamline the existing guidelines and ensure adherence to the guidelines.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07448-3.

Cancer in the older Indian population: Understanding the current context in an emerging economy

India is considered a demographically young country with over 65% of the population aged below 35 years. However, improvements in maternal and child health, and infectious diseases, have created a rapid epidemiological transition with an aging population (8.6% in 2011) with a projected increase (19% by 2050), equating to 104 million. In addition to the well-articulated issues surrounding the care of the older patients with cancer, the Indian context as an emerging economy provides additional social, political, economic and clinical challenges. This review addresses the key issues and possible solutions germane to both policymakers in India and other emerging economies. Extension of cancer prevention, equal, optimal treatment opportunities, and inclusion in clinical trials, akin to the younger population, must be encouraged. Various national health initiatives require effective implementation, to provide uniform, evidence-based, cancer care across India. Designated geriatric oncology departments, and required care at the primary healthcare level are essential.

Did the poor gain from India's health policy interventions? Evidence from benefit-incidence analysis, 2004-2018

Background

Health policy interventions were expected to improve access to health care delivery, provide financial risk protection, besides reducing inequities that underlie geographic and socio-economic variation in population access to health care. This article examines whether health policy interventions and accelerated health investments in India during 2004–2018 could close the gap in inequity in health care utilization and access to public subsidy by different population groups. Did the poor and socio-economically vulnerable population gain from such government initiatives, compared to the rich and affluent sections of society? And whether the intended objective of improving equity between different regions of the country been achieved during the policy initiatives? This article attempts to assess and provide robust evidence in the Indian context.

Methods

Employing Benefit-Incidence Analysis (BIA) framework, this paper advances earlier evidence by highlighting estimates of health care utilization, concentration and government subsidy by broader provider categories (public versus private) and across service levels (outpatient, inpatient, maternal, pre-and post-natal services). We used 2 waves of household surveys conducted by the National Sample Survey Organisation (NSSO) on health and morbidity. The period of analysis was chosen to represent policy interventions spanning 2004 (pre-policy) and 2018 (post-policy era). We present this evidence across three categories of Indian states, namely, high-focus states, high-focus north eastern states and non-focus states. Such categorization facilitates quantification of reform impact of policy level interventions across the three groups.

Results

Utilisation of healthcare services, except outpatient care visits, accelerated significantly in 2018 from 2004. The difference in utilisation rates between poor and rich (between poorest 20% and richest 20%) had significantly declined during the same period. As far as concentration of healthcare is concerned, the Concentrate Index (CI) underlying inpatient care in public sector fell from 0.07 in 2004 to 0.05 in 2018, implying less pro-rich distribution. The CI in relation to pre-natal, institutional delivery and postnatal services in government facilities were pro-poor both in 2004 and 2018 in all 3 groups of states. The distribution of public subsidy underscoring curative services (inpatient and outpatient) remained pro-rich in 2004 but turned less pro-rich in 2018, measured by CIs which declined sharply across all groups of states for both outpatient (from 0.21 in 2004 to 0.16 in 2018) and inpatient (from 0.24 in 2004 to 0.14 in 2018) respectively. The CI for subsidy on prenatal services declined from approximately 0.01 in 2004 to 0.12 in 2018. In respect to post-natal care, similar results were observed, implying the subsidy on prenatal and post-natal services was overwhelmingly received by poor. The CI underscoring subsidy for institutional delivery although remained positive both in 2018 and 2004, but slightly increased from 0.17 in 2004 to 0.28 in 2018.

Conclusions

Improvement in infrastructure and service provisioning through NHM route in the public facilities appears to have relatively benefited the poor. Yet they received a relatively smaller health subsidy than the rich when utilising inpatient and outpatient health services. Inequality continues to persist across all healthcare services in private health sector. Although the NHM remained committed to broader expansion of health care services, a singular focus on maternal and child health conditions especially in backward regions of the country has yielded desired results.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01489-0.

Determinants of choice of health insurance: Empirical evidence from responses of Indian households

Health insurance has been accepted as one of the channels that can serve the purpose of universalisation of health care and especially useful in the period of health crisis. This is the emerging and challenging sector in India. The present study explores the health insurance penetration in India using the latest two rounds of nationally representative datasets of the National Family Health Survey (2005-06 and 2015-16). This study identifies the covariates of households' participation and their choice for different health insurance schemes, using the average marginal effects of binary and multinomial logit regression models with conditional categories after checking their Kernel density function. The results suggest that health insurance in India is more skewed towards the households belonging to higher wealth quintile and in the front runner states. Age, occupation and education level are also positively associated with health insurance enrolment. The variable 'weighted information index', which is estimated through Principal Component Analysis, is a significant determinant of private health insurance and community-based health insurance, and this also caters to the richer households. The study also identifies several shortcomings of not accessing health insurance, their choices and suggests reforms with the goal of universalization of healthcare. The robustness check has been performed using 20 percent, 50 percent and 80 percent sub-sampling of the models.

Exploring the Financial Toxicities of Patients with Locally Advanced Head and Neck Malignancies, Being Treated in a Private Sector Hospital in North India: A Thematic Analysis

Background:

The high cost of cancer diagnosis and treatment is a global concern. Evidence derived, mostly from high-income countries, shows how it gradually impacts the personal and household financial condition causing the increased psychosocial burden of the patient and their families (termed “financial toxicity”).

Aim:

To qualitatively explore the financial toxicities in patients with advanced head and neck malignancies in India, and to consider how it impacts the patient and his family.

Methods:

Interviewing a purposive sample of 8 patients using semi-structured interviews face to face. Interviews were transcribed verbatim, and a thematic content analysis was carried out.

Results:

Four major themes were identified: burden and amplifying factors, impact, rescue and relieving factors, and learning and innovation. The burden of cost relates to diagnosis, treatment and non-medical costs which gets amplified while navigating the healthcare labyrinth. Emerging themes describe financial journey of cancer patients, the issues faced by them and the ways they tackle these issues during their treatment. Healthcare system factors like limited availability of adequate/comprehensive/meaningful insurance and reimbursements potentiate the toxicity. The financial toxicity leads to a significant adverse financial, psychological and social impact on the patient and the family. While moving through the process of care, there were a few learnings and innovations which patients proposed.

Conclusion:

This study provides qualitative evidence of the considerable and pervasive nature of financial toxicity in head and neck cancer patients in India. The findings have implications for all cancer patients and highlight the unmet need of psychosocial support for these patients.

Effect of health insurance program for the poor on out-of-pocket inpatient care cost in India: evidence from a nationally representative cross-sectional survey

BACKGROUND

In India, Out-of-pocket expenses accounts for about 62.6% of total health expenditure - one of the highest in the world. Lack of health insurance coverage and inadequate coverage are important reasons for high out-of-pocket health expenditures. There are many Public Health Insurance Programs offered by the Government that cover the cost of hospitalization for the people below poverty line (BPL), but their coverage is still not complete. The objective of this research is to examine the effect of Public Health Insurance Programs for the Poor on hospitalizations and inpatient Out-of-Pocket costs.

METHODS

Data from the recent national survey by the National Sample Survey Organization, Social Consumption in Health 2014 are used. Propensity score matching was used to identify comparable non-enrolled individuals for individuals enrolled in health insurance programs. Binary logistic regression model, Tobit model, and a Two-part model were used to study the effects of enrolment under Public Health Insurance Programs for the Poor on the incidence of hospitalizations, length of hospitalization, and Out-of- Pocket payments for inpatient care.

RESULTS

There were 64,270 BPL people in the sample. Individuals enrolled in health insurance for the poor have 1.21 higher odds of incidence of hospitalization compared to matched poor individuals without the health insurance coverage. Enrollment under the poor people health insurance program did not have any effect on length of hospitalization and inpatient Out-of-Pocket health expenditures. Logistic regression model showed that chronic illness, household size, and age of the individual had significant effects on hospitalization incidence. Tobit model results showed that individuals who had chronic illnesses and belonging to other backward social group had significant effects on hospital length of stay. Tobit model showed that days of hospital stay, education and age of patient, using a private hospital for treatment, admission in a paying ward, and having some specific comorbidities had significant positive effect on out-of-pocket costs.

CONCLUSIONS

Enrolment in the public health insurance programs for the poor increased the utilization of inpatient health care. Health insurance coverage should be expanded to cover outpatient services to discourage overutilization of inpatient services. To reduce out-of-pocket costs, insurance needs to cover all family members rather than restricting coverage to a specific maximum defined.

Expanding healthcare coverage: An experience from Rashtriya Swasthya Bima Yojna

Background & objectives:

Given that Ayushman Bharat Yojna was launched in 2018 in India, analysis of Rashtriya Swasthya Bima Yojna (RSBY) become relevant. The objective of this study was to examine the scheme design and the incentive structure under RSBY.

Methods:

The study was conducted in the districts of Patiala and Yamunanagar in the States of Punjab and Haryana, respectively (2011-2013). The mixed method study involved review of key documents; 20 in-depth interviews of key stakeholders; 399 exit interviews of RSBY and non-RSBY beneficiaries in Patiala and 353 in Yamunanagar from 12 selected RSBY empanelled hospitals; and analysis of secondary databases from State nodal agencies and district medical officers.

Results:

Insurance companies had considerable implementation responsibilities which led to conflict of interest in enrolment and empanelment. Enrolment was 15 per cent in Patiala and 42 per cent in Yamunanagar. Empanelment of health facilities was 17 (15%) in Patiala and 37 (30%) in Yamunanagar. Private-empanelled facilities were geographically clustered in the urban parts of the sub-districts. Monitoring was weak and led to breach of contracts. RSBY beneficiaries incurred out-of-pocket (OOP) expenditures (₹5748); however, it was lower than that for non-RSBY (₹10667). The scheme had in-built incentives for Centre, State, insurance companies and health providers (both public and private). There were no incentives for health staff for additional RSBY activities.

Interpretation & conclusions:

RSBY has in-built incentives for all stakeholders. Some of the gaps identified in the scheme design pertained to poor enrolment practices, distribution of roles and responsibilities, fixed package rates, weak monitoring and supervision, and incurring OOP expenditure.

Utilisation and financial protection for hospital care under publicly funded health insurance in three states in Southern India

BACKGROUND

Many LMICs have implemented Publicly Funded Health Insurance (PFHI) programmes to improve access and financial protection. The national PFHI scheme implemented in India for a decade has been recently modified and expanded to cover free hospital care for 500 million persons. Since increase in annual cover amount is one of the main design modifications in the new programme, the relevant policy question is whether such design change can improve financial protection for hospital care. An evaluation of state-specific PFHI programmes with vertical cover larger than RSBY can help answer this question. Three states in Southern India - Andhra Pradesh, Karnataka and Tamil Nadu have been pioneers in implementing PFHI with a large insurance cover.

METHODS

The current study was meant to evaluate the PFHI in above three states in improving utilisation of hospital services and financial protection against expenses of hospitalization. Two cross-sections from National Sample Survey's health rounds, the 60th round done in 2004 and the 71st round done in 2014 were analysed. Instrumental Variable method was applied to address endogeneity or the selection problem in insurance.

RESULTS

Enrollment under PFHI was not associated with increase in utilisation of hospital care in the three states. Private hospitals dominated the empanelment of facilities under PFHI as well as utilisation. Out of Pocket Expenditure and incidence of Catastrophic Health Expenditure did not decrease with enrollment under PFHI in the three states. The size of Out of Pocket Expenditure was significantly greater for utilisation in private sector, irrespective of insurance enrollment.

CONCLUSION

PFHI in the three states used substantially larger vertical cover than national scheme in 2014. The three states are known for their good governance. Yet, the PFHI programmes in all three states failed in fulfilling their fundamental purpose. Increasing vertical cover of PFHI and using either 'Trusts' or Insurance-companies as purchasers may not give desired results in absence of adequate regulation. The study raises doubts regarding effectiveness of contracting under PFHIs to influence provider-behavior in the Indian context. Further research is required to find solutions for addressing gaps that contribute to poor financial outcomes for patients under PFHI.

Program design, implementation and performance: the case of social health insurance in India

Published works on health insurance tend to focus on program design and its impact, neglecting the implementation process that links the two and affects outcomes. This paper examines the National Health Insurance [Rashtriya Swasthya Bima Yojana (RSBY)] in India with the objective of assessing the role of implementation structures and processes in shaping performance. The central question that the paper addresses is: why does the performance of RSBY vary across states despite similar program design? Using a comparative case study approach analyzing the program's functioning in three states, it finds the answer in the differences in governance of implementation. The unavoidable gaps in design of health care program allow abundant scope for opportunistic behavior on the part of different stakeholders. The study finds that the performance of the program, as a result, depends on the extent to which the governance mechanism is able to contain and channel opportunistic behavior during implementation. By opening up the black box of implementation, the paper contributes to improving the performance of national health insurance in India and elsewhere.

Ayushman Bharat National Health Protection Scheme: an Ethical Analysis

The Ayushman Bharat (Hindi for "India blessed with a long life") scheme is a government health insurance program that will cover about 100 million poor and vulnerable families in India providing up to INR 0.5 million per family per year for secondary and tertiary care hospitalization services. In addition, it also proposes to establish 150,000 health and wellness centers all over the country providing comprehensive primary health care. The beneficiaries of the hospital insurance scheme can avail health care services from both public and empanelled private health facilities. This scheme is one of the largest government-sponsored health insurance schemes in the world. Previous experience with government-financed health insurance schemes in India has shown that they are inequitable, inefficient, and do not provide financial protection. There is a lack of clarity on the budgetary provisions over the years when the utilization is likely to increase. The Ayushman Bharat scheme in its current form strengthens the "for profit" private health sector, requiring greater emphasis on its regulation. The scheme, which has primary, secondary, and tertiary care components, places a great focus on the secondary and tertiary care services and requires more investment in comprehensive primary health care. The potential problems of "profit-motivated" supplier-induced demand by private health care providers and corrupt practices are possible ethical burdens of the scheme. For the Ayushman Bharat to meet the ethical principle of justice, it should first address universal coverage of comprehensive primary health care and move on to hospital insurance in a progressive manner. The scheme should have provisions to strictly regulate secondary and tertiary care hospitalization in the private health sector to prevent misuse. It is the ethical responsibility of the government to ensure a strong and robust public health system, but the current provisioning of the Ayushman Bharat scheme does not do this and the reasons for this are explained in this paper.

Role of insurance in determining utilization of healthcare and financial risk protection in India

BACKGROUND

Universal health coverage has become a policy goal in most developing economies. We assess the association of health insurance (HI) schemes in general, and RSBY (National Health Insurance Scheme) in particular, on extent and pattern of healthcare utilization. Secondly, we assess the relationship of HI and RSBY on out-of-pocket (OOP) expenditures and financial risk protection (FRP).

METHODS

A cross-sectional study was undertaken to interview 62335 individuals among 12,134 households in 8 districts of three states in India i.e. Gujarat, Haryana and Uttar Pradesh (UP). Data on socio-demographic characteristics, assets, education, occupation, consumption expenditure, illness in last 15 days or hospitalization during last 365 days, treatment sought and its OOP expenditure was collected. We computed catastrophic health expenditures (CHE) as indicator for FRP. Hospitalization rate, choice of care provider and CHE were regressed to assess their association with insurance status and type of insurance scheme, after adjusting for other covariates.

RESULTS

Mean OOP expenditures for outpatient care among insured and uninsured were INR 961 (USD 16) and INR 840 (USD 14); and INR 32573 (USD 543) and INR 24788 (USD 413) for an episode of hospitalization respectively. The prevalence of CHE for hospitalization was 28% and 26% among the insured and uninsured population respectively. No significant association was observed in multivariate analysis between hospitalization rate, choice of care provider or CHE with insurance status or RSBY in particular.

CONCLUSION

Health insurance in its present form does not seem to provide requisite improvement in access to care or financial risk protection.

Horses for Courses: Moving India towards Universal Health Coverage through Targeted Policy Design

The debate on how India's health system should move towards universal health coverage was (meant to be) put to rest by the recent National Health Policy 2017. However, the new policy is silent about tackling bottlenecks mentioned in the said policy proposal. It aims to provide universal access to free primary care by strengthening the public system, and to secondary and tertiary care through strategic purchasing from the private sector, to overcome deficiencies in public provisioning in the short run. Yet, in doing so, it ignores critical factors needed to replicate successful models of public healthcare delivery from certain states that it hopes to emulate. The policy also overestimates the capacity of the public sector and downplays the challenges observed in purchasing secondary care. Drawing from literature in policy design, we emphasize that primary, secondary and tertiary care have distinct characteristics, and their provision requires separate approaches or policy tools depending on the context. Public provisioning, contract purchasing and insurance mechanisms are different policy tools that have to be matched with the context and characteristics of the policy arena. Given the current challenges of India's health system, we argue that tertiary care services are most suitable for insurance-based purchasing, while the public sector should concentrate on building the required capacities to dominate the provisioning of secondary care and fill gaps in primary care delivery, for India to achieve its universal coverage ambitions.

Hospital utilization and out of pocket expenditure in public and private sectors under the universal government health insurance scheme in Chhattisgarh State, India: Lessons for universal health coverage

Research on impact of publicly financed health insurance has paid relatively little attention to the nature of healthcare provision the schemes engage. India's National Health Insurance Scheme or RSBY was made universal by Chhattisgarh State in 2012. In the State, public and private sectors provide hospital services in a context of extensive gender, social, economic and geographical inequities. This study examined enrolment, utilization (public and private) and out of pocket (OOP) expenditure for the insured and uninsured, in Chhattisgarh. The Chhattisgarh State Central sample (n = 6026 members) of the 2014 National Sample Survey (71st Round) on Health was extracted and analyzed. Variables of enrolment, hospitalization, out of pocket (OOP) expenditure and catastrophic expenditure were descriptively analyzed. Multivariate analyses of factors associated with enrolment, hospitalization (by sector) and OOP expenditure were conducted, taking into account gender, socio-economic status, residence, type of facility and ailment. Insurance coverage was 38.8%. Rates of hospitalization were 33/1000 population among the insured and 29/1000 among the uninsured. Of those insured and hospitalized, 67.2% utilized the public sector. Women, rural residents, Scheduled Tribes and poorer groups were more likely to utilize the public sector for hospitalizations. Although the insured were less likely to incur out of pocket (OOP) expenditure, 95.1% of insured private sector users and 66.0% of insured public sector users, still incurred costs. Median OOP payments in the private sector were eight times those in the public sector. Of households with at least one member hospitalized, 35.5% experienced catastrophic health expenditures (>10% monthly household consumption expenditure). The study finds that despite insurance coverage, the majority still incurred OOP expenditure. The public sector was nevertheless less expensive, and catered to the more vulnerable groups. It suggests the need to further examine the roles of public and private sectors in financial risk protection through government health insurance.

Extending health insurance to the poor in India: An impact evaluation of Rashtriya Swasthya Bima Yojana on out of pocket spending for healthcare

India launched the 'Rashtriya Swasthya Bima Yojana' (RSBY) health insurance scheme for the poor in 2008. Utilising 3 waves (1999-2000, 2004-05 and 2011-12) of household level data from nationally representative surveys of the National Sample Survey Organisation (NSSO) (N = 346,615) and district level RSBY administrative data on enrolment, we estimated causal effects of RSBY on out-of-pocket expenditure. Using 'difference-in-differences' methods on households in matched districts we find that RSBY did not affect the likelihood of inpatient out-of-pocket spending, the level of inpatient out of pocket spending or catastrophic inpatient spending. We also do not find any statistically significant effect of RSBY on the level of outpatient out-of-pocket expenditure and the probability of incurring outpatient expenditure. In contrast, the likelihood of incurring any out of pocket spending (inpatient and outpatient) rose by 30% due to RSBY and was statistically significant. Although out of pocket spending levels did not change, RSBY raised household non-medical spending by 5%. Overall, the results suggest that RSBY has been ineffective in reducing the burden of out-of-pocket spending on poor households.

Impact of Publicly Financed Health Insurance Schemes on Healthcare Utilization and Financial Risk Protection in India: A Systematic Review

Several publicly financed health insurance schemes have been launched in India with the aim of providing universalizing health coverage (UHC). In this paper, we report the impact of publicly financed health insurance schemes on health service utilization, out-of-pocket (OOP) expenditure, financial risk protection and health status. Empirical research studies focussing on the impact or evaluation of publicly financed health insurance schemes in India were searched on PubMed, Google scholar, Ovid, Scopus, Embase and relevant websites. The studies were selected based on two stage screening PRISMA guidelines in which two researchers independently assessed the suitability and quality of the studies. The studies included in the review were divided into two groups i.e., with and without a comparison group. To assess the impact on utilization, OOP expenditure and health indicators, only the studies with a comparison group were reviewed. Out of 1265 articles screened after initial search, 43 studies were found eligible and reviewed in full text, finally yielding 14 studies which had a comparator group in their evaluation design. All the studies (n-7) focussing on utilization showed a positive effect in terms of increase in the consumption of health services with introduction of health insurance. About 70% studies (n-5) studies with a strong design and assessing financial risk protection showed no impact in reduction of OOP expenditures, while remaining 30% of evaluations (n-2), which particularly evaluated state sponsored health insurance schemes, reported a decline in OOP expenditure among the enrolled households. One study which evaluated impact on health outcome showed reduction in mortality among enrolled as compared to non-enrolled households, from conditions covered by the insurance scheme. While utilization of healthcare did improve among those enrolled in the scheme, there is no clear evidence yet to suggest that these have resulted in reduced OOP expenditures or higher financial risk protection.

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.

Study of Awareness, Enrollment, and Utilization of Rashtriya Swasthya Bima Yojana (National Health Insurance Scheme) in Maharashtra, India

INTRODUCTION

Government of India launched a social health protection program called Rashtriya Swasthya Bima Yojana (RSBY) in the year 2008 to provide financial protection from catastrophic health expenses to below poverty line households (HHs). The objectives of the current paper are to assess the current status of RSBY in Maharashtra at each step of awareness, enrollment, and utilization. In addition, urban and rural areas were compared, and social, political, economic, and cultural (SPEC) factors responsible for the better or poor proportions, especially for the awareness of the scheme, were identified.

METHODS

The study followed mixed methods approach. For quantitative data, a systematic multistage sampling design was adopted in both rural and urban areas covering 6000 HHs across 22 districts. For qualitative data, five districts were selected to conduct Stakeholder Analysis, Focused Group Discussions, and In-Depth Interviews with key informants to supplement the findings. The data were analyzed using innovative SPEC-by-steps tool developed by Health Inc.

RESULTS

It is seen that that the RSBY had a very limited success in Maharashtra. Out of 6000 HHs, only 29.7% were aware about the scheme and 21.6% were enrolled during the period of 2010-2012. Only 11.3% HHs reported that they were currently enrolled for RSBY. Although 1886 (33.1%) HHs reported at least one case of hospitalization in the last 1 year, only 16 (0.3%) HHs could actually utilize the benefits during hospitalization. It is seen that at each step, there is an increase in the exclusion of eligible HHs from the scheme. The participants felt that such schemes did not reach their intended beneficiaries due to various SPEC factors.

DISCUSSION AND CONCLUSION

The results of this study were quite similar to other studies done in the recent past. RSBY might still be continued in Maharashtra with modified focus along with good and improved strategy. Various other similar schemes in India can definitely learn few important lessons such as the need to improve awareness, issuing prompt enrollment cards with proper details, achieving universal enrollment, ongoing and prompt renewal, and ensuring proper utilization by proactively educating the vulnerable sections.