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

Impact of Government-Funded Health Insurance on Out-of-Pocket Expenditure and Quality of Hospital-Based Care in Indian States of Madhya Pradesh and Maharashtra

BACKGROUND

With its clear focus on financial protection, government-funded health insurance (GFHI) stands out among the strategies for universal health coverage (UHC) implemented by low-to-middle income countries globally. Since 2018, India has implemented a GFHI programme called the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY), which covers 500 million individuals. The current study aims to evaluate the performance of GFHI in meeting its key objectives of improving access, quality and financial protection for hospital-based care in two large central Indian states: Madhya Pradesh and Maharashtra.

METHODS

The study measures access in terms of utilisation of inpatient care. Financial protection was measured in terms of catastrophic health expenditure which was defined as the incidence of out-of-pocket expenditure (OOPE) above thresholds of 10% and 25% of annual household expenditure. Patient-satisfaction with care was taken as an indicator of quality. A household survey was conducted in 2023, covering a multi-stage sample of 11,569 and 12,384 individuals in Madhya Pradesh and Maharashtra, respectively. Multi-variate analyses were conducted to find the effect of GFHI-enrolment on the desired outcomes. The instrumental variable method was applied to address potential endogeneity in insurance enrolment. Additionally, propensity score matching was done to ensure robustness.

RESULTS

Around 71% and 63% of surveyed individuals were enrolled under GFHI in Madhya Pradesh and Maharashtra, respectively. The hospitalisation rate did not differ much between the GFHI-enrolled and non-enrolled population. The average OOPE on hospitalisation was similar for the GFHI-enrolled and non-enrolled patients. The OOPE and catastrophic health expenditure in private hospitals remained very high, irrespective of GFHI enrolment. The pattern was similar in both states. Multi-variate adjusted models showed that GFHI had no significant effect on utilisation, quality, OOPE and catastrophic health expenditure. The above results were confirmed by propensity score matching.

CONCLUSIONS

Coverage by GFHI enrolment was ineffective in improving access, quality or financial protection for inpatient hospital care despite 5 years of implementation of the programme. Long-standing supply-side gaps and poor regulation of private providers continue to hamper the effectiveness of GFHI in India.

The Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) after four years of implementation - is it making an impact on quality of inpatient care and financial protection in India?

BACKGROUND

India launched a national health insurance scheme named Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) in 2018 as a key policy for universal health coverage. The ambitious scheme covers 100 million poor households. None of the studies have examined its impact on the quality of care. The existing studies on the impact of AB-PMJAY on financial protection have been limited to early experiences of its implementation. Since then, the government has improved the scheme's design. The current study was aimed at evaluating the impact of AB-PMJAY on improving utilisation, quality, and financial protection for inpatient care after four years of its implementation.

METHODS

Two annual waves of household surveys were conducted for years 2021 and 2022 in Chhattisgarh state. The surveys had a sample representative of the state's population, covering around 15,000 individuals. Quality was measured in terms of patient satisfaction and length of stay. Financial protection was measured through indicators of catastrophic health expenditure at different thresholds. Multivariate adjusted models and propensity score matching were applied to examine the impacts of AB-PMJAY. In addition, the instrumental variable method was used to address the selection problem.

RESULTS

Enrollment under AB-PMJAY was not associated with increased utilisation of inpatient care. Among individuals enrolled under AB-PMJAY who utilised private hospitals, the proportion incurring catastrophic health expenditure at the threshold of 10% of annual consumption expenditure was 78.1% and 70.9% in 2021 and 2022, respectively. The utilisation of private hospitals was associated with greater catastrophic expenditure irrespective of AB-PMJAY coverage. Enrollment under AB-PMJAY was not associated with reduced out-of-pocket expenditure or catastrophic health expenditure.

CONCLUSIONS

AB-PMJAY has achieved a large coverage of the population but after four years of implementation and an evidence-based increase in reimbursement prices for hospitals, it has not made an impact on improving utilisation, quality, or financial protection. The private hospitals contracted under the scheme continued to overcharge patients, and purchasing was ineffective in regulating provider behaviour. Further research is recommended to assess the impact of publicly funded health insurance schemes on financial protection in other low- and middle-income countries.

A Hybrid Form of Telemedicine and Quality Improvement: A Unique Way to Extend Intensive Care Services to Neonates

OBJECTIVES

To evaluate the impact of hybrid support (tele-mentoring and conventional support) on adverse outcome among neonates admitted to 10 special newborn care units (SNCUs) in Chhattisgarh.

METHODS

This before-and-after study was conducted at 10 SNCUs in Chhattisgarh in 2022. Conventional support was given earlier and later, that was supplemented with tele-rounds which were carried out using Skype technology. The principal investigator (PI) visited each unit for one day per month to kickstart quality improvement (QI) projects and provide guidance. Patient outcome data were collected on clinical sepsis proportion, IV fluid usage, antibiotic usage, length of stay, referral and mortality.

RESULTS

A total of 2807 babies across 10 units were assessed. This was retrospectively correlated with 5169 babies in these units in the year before the intervention was started. The percentage of clinical neonatal sepsis cases decreased from 53.4% to 29.4% (P < 0.05). IV fluid usage dropped from 40% to 22.2% (P < 0.05). The initiation and continuation of kangaroo mother care (KMC) increased from 55.5% to 93.8% (P < 0.05). The average length of stay decreased from 5.5 ± 0.97 d to 4 ± 0.2 d (P < 0.05). Oxygen utilization decreased from 39.3% to 33.6% (P < 0.05). The proportion of antibiotic usage decreased from 50.2% to 39.7% (P < 0.05). The mortality rate decreased from 8.18% to 6.99% (P < 0.05). Referral rate decreased from 13.12% to 11.93% (P < 0.05).

CONCLUSIONS

The implementation of a QI package through hybrid support, which includes tele-mentoring, supportive supervision visits, and local QI project advocacy, proves to be an effective approach in enhancing newborn intensive care.

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.

Publicly funded health insurance schemes and demand for health services: evidence from an Indian state using a matching estimator approach

Using Demographic and Health Survey data (2015-16) from the state of Andhra Pradesh, we estimate the differential probability of hysterectomy (removal of uterus) for women (aged 15-49 years) covered under publicly funded health insurance (PFHI) schemes relative to those not covered. To reduce the extent of selection bias into treatment assignment (PFHI coverage) we use matching methods, propensity score matching, and coarsened exact matching, achieving a comparable treatment and control group. We find that PFHI coverage increases the probability of undergoing a hysterectomy by 7-11 percentage points in our study sample. Sub-sample analysis indicates that the observed increase is significant for women with lower education levels and higher order parity. Additionally, we perform a test of no-hidden bias by estimating the treatment effect on placebo outcomes (doctor's visit, health check-up). The robustness of the results is established using different matching specifications and sensitivity analysis. The study results are indicative of increased demand for surgical intervention associated with PFHI coverage in our study sample, suggesting a need for critical evaluation of the PFHI scheme design and delivery in the context of increasing reliance on PFHI schemes for delivering specialised care to poor people, neglect of preventive and primary care, and the prevailing fiscal constraints in the healthcare sector.

Is health insurance really benefitting Indian population? Evidence from a nationally representative sample survey

BACKGROUND

Universal health coverage (UHC) is the centrepiece of the sustainable development goals and aims to ensure access to essential and quality healthcare services to all without facing financial hardships. Several health insurance programmes have been launched in India to progress towards UHC.

OBJECTIVE

This study aims to assess the impact of health insurance (overall health insurance, government sponsored health insurance (GSHI), and private voluntary health insurance) on accessibility and utilization of inpatient care, out-of-pocket health expenditure (OOPE), catastrophic health expenditure (CHE), and impoverishment in India.

DATA AND METHODOLOGY

The 75th round of National Sample Survey Office was used in the study, which covered 555,115 individuals, 113,823 households, and 91,445 hospitalization incidence all over India. Descriptive statistics, multivariable logistic regression, and propensity score matching (PSM) methods were employed.

RESULTS

Enrolment under health insurance has impacted the accessibility and utilization pattern of hospitalization to some extent for the insured. PSM showed that enrolment under GSHI schemes reduced OOPE by INR 3314 (USD 49) and CHE incidence by 1%-4% at various thresholds. Among poor persons, there was a marginal but statistically significant reduction of OOPE among those enrolled under GSHI schemes (p < 0.05). However, GSHI schemes did not statistically significantly reduce the CHE burden for poor persons enrolled (p > 0.05). Furthermore, enrolment under private voluntary health insurance reduced OOPE by INR 13,511 (USD 198) and CHE by 13.47% at 10% threshold, 4.61% at 25% threshold, and 2.65% at 40% threshold. However, its uptake was primarily confined to richer economic quintiles and urban areas that exacerbates equity concerns. All the results were confirmed through robustness measures employed.

CONCLUSIONS

There is a necessity to increase awareness and uptake of health insurance, along with introducing comprehensive insurance packages covering both inpatient and outpatient care. Also, increasing public health spending, strengthening public healthcare facilities, and improving regulatory implementation of private healthcare providers are imperative to augment financial protection.

Gender-specific inequalities in coverage of Publicly Funded Health Insurance Schemes in Southern States of India: evidence from National Family Health Surveys

BACKGROUND

Publicly Funded Health Insurance Schemes (PFHIS) are intended to play a role in achieving Universal Health Coverage (UHC). In countries like India, PFHISs have low penetrance and provide limited coverage of services and of family members within households, which can mean that women lose out. Gender inequities in relation to financial risk protection are understudied. Given the emphasis being placed on achieving UHC for all in India, this paper examined intersecting gender inequalities and changes in PFHIS coverage in southern India, where its penetrance is greater and of longer duration.

DATA AND METHODS

This study used the fourth (NFHS-4, 2015-16) and fifth (NFHS-5, 2019-21) rounds of India's National Family Health Survey for five southern states: namely, Andhra Pradesh, Karnataka, Kerala, Tamil Nadu, and Telangana. The World Health Organization's Health Equity Assessment Toolkit (HEAT) Plus and Stata were used to analyse PFHIS coverage disaggregated by seven dimensions of inequality. Ratios and differences for binary dimensions; Between Group Variance and Theil Index for unordered dimensions; Absolute and Relative Concentration Index (RCI) for ordered dimensions were computed separately for women and men.

RESULTS

Overall, PFHIS coverage increased significantly (p < 0.001) among women and men in Andhra Pradesh, and Kerala from NFHS-4 to NFHS-5. Overall, men had higher PFHIS coverage than women, especially in Andhra Pradesh, Tamil Nadu, and Telangana in both surveys. In both absolute and relative terms, PFHIS coverage was concentrated among older women and men across all states; age-related inequalities were higher among women than men in both surveys in Andhra Pradesh, Kerala, and Telengana. The magnitude of education-related inequalities was twice as high as among women in Telangana (RCINFHS-4: -12.23; RCINFHS-5: -9.98) and Andhra Pradesh (RCINFHS-4: -8.05; RCINFHS-5: -7.84) as compared to men in Telangana (RCINFHS-4: -5.58; RCINFHS-5: -2.30) and Andhra Pradesh (RCINFHS-4: -4.40; RCINFHS-5: -3.12) and these inequalities remained in NFHS-5, suggesting that lower education level women had greater coverage. In the latter survey, a high magnitude of wealth-related inequality was observed in women (RCINFHS-4: -15.78; RCINFHS-5: -14.36) and men (RCINFHS-4: -20.42; RCINFHS-5: -13.84) belonging to Kerala, whereas this inequality has decreased from NFHS-4 to NFHS-5., again suggestive of greater coverage among poorer populations. Caste-related inequalities were higher in women than men in both surveys, the magnitude of inequalities decreased between 2015-16 and 2019-20.

CONCLUSIONS

We found gender inequalities in self-reported enrolment in southern states with long-standing PFHIS. Inequalities favoured the poor, uneducated and elderly, which is to some extend desirable when rolling out a PFHIS intended for harder to reach populations. However, religion and caste-based inequalities, while reducing, were still prevalent among women. If PFHIS are to truly offer financial risk protection, they must address the intersecting marginalization faced by women and men, while meeting eventual goals of risk pooling, indicated by high coverage and low inequality across population sub-groups.

Global Cancer Surgery: pragmatic solutions to improve cancer surgery outcomes worldwide

The first Lancet Oncology Commission on Global Cancer Surgery was published in 2015 and serves as a landmark paper in the field of cancer surgery. The Commission highlighted the burden of cancer and the importance of cancer surgery, while documenting the many inadequacies in the ability to deliver safe, timely, and affordable cancer surgical care. This Commission builds on the first Commission by focusing on solutions and actions to improve access to cancer surgery globally, developed by drawing upon the expertise from cancer surgery leaders across the world. We present solution frameworks in nine domains that can improve access to cancer surgery. These nine domains were refined to identify solutions specific to the six WHO regions. On the basis of these solutions, we developed eight actions to propel essential improvements in the global capacity for cancer surgery. Our initiatives are broad in scope, pragmatic, affordable, and contextually applicable, and aimed at cancer surgeons as well as leaders, administrators, elected officials, and health policy advocates. We envision that the solutions and actions contained within the Commission will address inequities and promote safe, timely, and affordable cancer surgery for every patient, regardless of their socioeconomic status or geographic location.

Assessing inequalities in publicly funded health insurance scheme coverage and out-of-pocket expenditure for hospitalization: findings from a household survey in Kerala

BACKGROUND

Increasing financial risk protection is a key feature of Universal Health Coverage and the path towards health for all. Publicly Funded Health Insurance Schemes (PFHIS) have been considered as one of the pathways to safeguard against financial shocks and potentially reduce Out-of-Pocket Expenditure (OOPE). The south Indian state of Kerala has roughly a decade-long experience in implementing PFHIS. To date, there have been very few assessments of the coverage of these schemes and their impact on expenditure. Aiming to fill this gap, we explored the extent of and inequalities in insurance coverage, as well as choice of providers, and median cost of hospitalization in Kerala among insured and uninsured individuals.

METHODS

A cross-sectional household survey was conducted in four districts of Kerala as part of a larger health systems research study from July-October 2019. We employed multistage random sampling to collect data from 13,064 individuals covering 3234 households in the catchment area of eight primary health care facilities. We used descriptive statistics, bivariate and multivariate analysis. We evaluated socioeconomic disparities using an absolute measure of inequality-the Slope Index of Inequality (SII) and a relative measure-the Relative Concentration Index (RCI).

RESULTS

A substantial proportion of our study respondents reported that they were covered by PFHIS (45.8%). Respondents belonging to lowest and middle wealth quintiles of household had significantly greater odds of being covered by insurance than respondents belonging to the richest wealth quintile. The negative magnitude of RCI [-16.8% (95%CI: -25.3, -8.4)] and SII [-21.5% (95%CI: -36.1, -7.0)] suggest a higher concentration of PFHIS coverage among the poor. Median OOPE for hospitalisation at private health facilities was INR 9000 (approx. USD 108.70) among those covered by PFHIS, whereas it was INR 10500 (approx. USD 126.82) at private health facilities among those not covered by insurance.

CONCLUSION

While PFHIS seems to be appropriately targeting poorer populations, among the insured, OOPE for hospitalization persists. Among the uninsured, population subgroups with advantage are spending the greatest amount, raising questions about whether those facing relative disadvantage are forgoing care altogether or seeking care using cheaper, public avenues. Further policy action to more effectively reduce financial burden among left behind eligible populations under PFHIS will be essential to UHC progress in the state.

Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys

BACKGROUND

Universal Health Coverage (UHC) aims to ensure universal access to quality healthcare according to health needs. The extent to which population health needs are met should be a key measure for progress on UHC. The indicators in use for measuring access mostly relate to physical accessibility or insurance coverage. Or, utilization of services is taken as indirect measure for access but it is assessed against only the perceived healthcare needs. The unperceived needs do not get taken into account. The present study was aimed at demonstrating an approach for measuring the unmet healthcare needs using household survey data as an additional measure of UHC.

METHODS

A household survey was conducted in Chhattisgarh state of India, covering a multi-stage sample of 3153 individuals. Healthcare need was measured in terms of perceived needs which would be self-reported and unperceived needs where clinical measurement supplemented the interview response. Estimation of unperceived healthcare needs was limited to three tracer conditions- hypertension, diabetes and depression. Multivariate analysis was conducted to find the determinants of the various measures of the perceived and unperceived needs.

RESULTS

Of the surveyed individuals, 10.47% reported perceived healthcare needs for acute ailments in the last 15 days. 10.62% individuals self-reported suffering from chronic conditions. 12.75% of those with acute ailment and 18.40% with chronic ailments received no treatment, while 27.83% and 9.07% respectively received treatment from unqualified providers. On an average, patients with chronic ailments received only half the medication doses required annually. The latent need was very high for chronic ailments. 47.42% of individuals above 30 years age never had blood pressure measured. 95% of those identified with likelihood of depression had not sought any healthcare and they did not know they could be suffering from depression.

CONCLUSION

To assess progress on UHC more meaningfully, better methods are needed to measure unmet healthcare needs, taking into account both the perceived and unperceived needs, as well as incomplete care and inappropriate care. Appropriately designed household surveys offer a significant potential to allow its periodic measurement. Their limitations in measuring the 'inappropriate care' may necessitate supplementation with qualitative methods.

Does government health insurance protect households from out of pocket expenditure and distress financing for caesarean and non-caesarean institutional deliveries in India? Findings from the national family health survey (2019-21)

OBJECTIVE

Institutional deliveries have been promoted in India to reduce maternal and neonatal mortality. While the institutional deliveries have increased, they tend to involve large out of pocket expenditure (OOPE) and distress financing for households. In order to protect the families from financial hardship, publicly funded health insurance (PFHI) schemes have been implemented in India. An expanded national health insurance scheme called the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PMJAY) was launched in 2018. The current study was aimed at evaluating the performance of PFHI in reducing the OOPE and distress financing for the caesarean and non-caesarean institutional deliveries after the launch of PMJAY. This study analysed the nationally representative dataset of the National Family Health Survey (NFHS-5) conducted in 2019-21.

RESULTS

Enrollment under PMJAY or other PFHI was not associated with any reduction in out of pocket expenditure or distress financing for caesarean or non-caesarean institutional deliveries across India. Irrespective of the PFHI coverage, the average OOPE in private hospitals was five times larger than public hospitals. Private hospitals showed an excessive rate of using caesarean-section. Utilization of private hospitals was significantly associated with incurring larger OOPE and occurrence of distress financing.

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.

Impact of India's publicly financed health insurance scheme on public sector district hospitals: a health financing perspective

Background

Districts hospitals in India play a pivotal role in delivering health care services in the public sector and are empanelled under India's national health insurance scheme i.e. Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana (PMJAY). In this paper, we evaluate the extent to which the PMJAY impacts the district hospitals from a financing perspective.

Methods

We used cost data from India's nationally representative costing study-'Costing of Health Services in India' (CHSI) to determine the incremental cost of treating PMJAY patients, after adjusting for resources that are paid through supply-side government financing route. Second, we used data on number and claim value paid to public district and sub-district hospitals during 2019, to determine the additional revenue generated through PMJAY. The annual net financial gain per district hospital was estimated as the difference between payments under PMJAY, and the incremental cost of delivering the services.

Findings

At current levels of utilisation, the district hospitals in India gain a net annual financial benefit of $ 26.1 (₹ 1839.3) million, which can potentially increase up to $ 41.8 (₹ 2942.9) million with an increase in the share of patient volume. For an average district hospital, we estimate net annual financial gain of $ 169,607 (₹ 11.9 million), increasing up to $ 271,372 (₹ 19.1 million) per hospital with increased utilisation.

Interpretation

Demand-side financing mechanisms can be used to strengthen the public sector. Increasing utilisation of district hospitals, by either gatekeeping or improving availability of services will enhance financial gains for district hospitals and strengthen public sector.

Funding

Department of Health Research, Ministry of Health & Family Welfare, Government of India.

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.

Performance of Third Party Administrators in Indian Healthcare

Health insurance companies, healthcare service providers and third party administrators (TPAs) play an important role in health system performance. Our study develops performance metrics for TPAs in the Indian healthcare setting. Further, we examine the relative importance of these metrics among the market segments that TPAs service. Auditing of TPAs on performance measures is not prevalent practice in the industry. This evaluation will enable critical assessment of both efficiency and quality of health insurance claims processing and provide insights on required modifications thus resulting in better performance and enhanced customer satisfaction. This study’s motivation stems from the possible impact that the objective performance evaluation of TPAs has on healthcare delivery, control and costs. Analytical Hierarchy Process was used to formulate a hierarchy of factors to determine TPA performance and to assess their relative importance among the market segments serviced. The findings suggest that the relative importance of performance metrics for TPAs vary across market segments. This study is limited to TPA performance. Studies can be undertaken to understand the performance metrics of other members in the healthcare system, such as clinics, hospitals and insured members.

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.

What is the Out-of-Pocket Expenditure on Medicines in India? An Empirical Assessment using a Novel Methodology

The share of expenditure on medicines as part of the total out-of-pocket (OOP) expenditure on healthcare services has been reported to be much higher in India than in other countries. This study was conducted to ascertain the extent of this share of medicines expenditure using a novel methodology. OOP expenditure data were collected through exit-interviews with 5252 out-patient department (OPD) patients in three states of India. Follow-up interviews were conducted after day 1 and 15 of the baseline to identify any additional expenditure incurred. In addition, medicine prescription data were collected from the patients through prescription audits. Self-reported expenditure on medicines was compared with the amount imputed using local market prices based on prescription data. The results were also compared with the mean expenditure on medicines per spell of ailment among non-hospitalized cases from National Sample Survey (NSS) 75th round for the corresponding states and districts, which is based on household survey methodology. The share of medicines in OOP expenditure did not change significantly for organized private hospitals using patient-reported versus imputation-based method (30.74% to 29.61%). Large reductions were observed for single-doctor clinics, especially in case of Ayurvedic (64.51% to 36.51%) and Homeopathic (57.53% to 42.74%) practitioners. After adjustment for socio-demographic factors and types of ailments, we found that household data collection as per NSS methodology leads to an increase of 25% and 26% in reported share of medicines for public and private sector out-patient consultations respectively, as compared to facility based exit interviews with imputation of expenditure for medicines as per actual quantity and price data. The nature of health care transactions at single-doctor clinics in rural India leads to an over-reporting of expenditure on medicines by patients. While household surveys are valid to provide total expenditure, these are less likely to correctly estimate the share of medicines expenditure.

Role of publicly funded health insurance in financial protection of the elderly from hospitalisation expenditure in India-findings from the longitudinal aging study

BACKGROUND

The elderly face a greater burden of illnesses than other age groups and have a more frequent need of healthcare, including in-patient hospitalisations. Catastrophic expenditure on hospitalisation of the elderly poses a significant challenge to India's aim of achieving Universal Health Coverage (UHC). India has implemented a policy of Publicly Funded Health Insurance (PFHI) to provide free inpatient care by empanelling private and public hospitals. The existing studies have examined the performance of PFHI in financial protection of the elderly.

METHODS

This study utilised the Longitudinal Ageing Study in India (LASI) Wave 1, conducted in 2017-18. LASI is a large-scale nationally representative survey collecting data on elderly health including illness burden, healthcare use and out of pocket expenditure (OOPE). It covered a sample 72,250 individuals aged 45 or above. Financial Protection was measured in terms of Catastrophic Health Expenditure (CHE). Multivariate analysis was conducted to find effect of PFHI on OOPE-quantile and logistic models were applied for OOPE and CHE respectively. For robustness, Propensity Score Matching (PSM) model was applied.

RESULTS

Of the hospitalisations, 35% had taken place in public hospitals. The mean OOPE for a hospitalisation in public sector was Indian Rupees (INR) 8276, whereas it was INR 49,700 in private facilities. Incidence of CHE was several times greater for using private hospitals as compared to public hospitals. Multi-variate analyses showed that enrolment under PFHI was not associated with lower OOPE or CHE. PSM model also confirmed that PFHI-enrolment had no effect on OOPE or CHE. Use of private facilities was a key determinant of OOPE, irrespective of enrolment under PFHI.

CONCLUSIONS

This was the first study in India to examine the performance of PFHI in the context of catastrophic hospitalisation expenditure faced by the elderly. It found that PFHI was not effective in financial protection of the elderly. The ongoing reliance on a poorly regulated private sector seems to be a key limitation of PFHI policy. Governments need to find more effective ways of protecting the elderly from catastrophic health expenditure if the goal of UHC has to be realized.

Experiences and challenges in accessing hospitalization in a government-funded health insurance scheme: Evidence from early implementation of Pradhan Mantri Jan Aarogya Yojana (PM-JAY) in India

INTRODUCTION

Government-sponsored health insurance schemes can play an important role in improving the reach of healthcare services. Launched in 2018 in India, Pradhan Mantri Jan Aarogya Yojana (PM-JAY) is one of the world's largest government-sponsored health insurance schemes. The objective of this study is to understand beneficiaries' experience of availing healthcare services at the empaneled hospitals in PM-JAY. This study examines the responsiveness of PM-JAY by measuring the prompt attention in service delivery, and access to information by the beneficiaries; financial burden experienced by the beneficiaries; and beneficiary's satisfaction with the experience of hospitalization under PMJAY and its determinants.

METHODS

The study was conducted during March-August 2019. Data were obtained through a survey conducted with 200 PM-JAY beneficiaries (or their caregivers) in the Indian states of Gujarat and Madhya Pradesh. The study population comprised of patients who received healthcare services at 14 study hospitals in April 2019. Prompt attention was measured in the form of a) effectiveness of helpdesk, and b) time taken at different stages of hospitalization and discharge events. Access to information by the beneficiaries was measured using the frequency and purpose of text messages and phone calls from the scheme authorities to the beneficiaries. The financial burden was measured in terms of the incidence and magnitude of out-of-pocket payments made by the beneficiaries separate from the cashless payment provided to hospitals by PMJAY. Beneficiaries' satisfaction was measured on a five-point Likert scale.

RESULTS

Socio-economically weaker sections of the society are availing healthcare services under PM-JAY. In Gujarat, the majority of the beneficiaries were made aware of the scheme by the government official channels. In Madhya Pradesh, the majority of the beneficiaries got to know about the scheme from informal sources. For most of the elements of prompt attention, access to information, and beneficiaries' satisfaction, hospitals in Gujarat performed significantly better than the hospitals in Madhya Pradesh. Similarly, for most of the elements of prompt attention, access to information, and beneficiaries' satisfaction, public hospitals performed significantly better than private hospitals. Incidence and magnitude of out-of-pocket payments were significantly higher in Madhya Pradesh as compared to Gujarat, and in private hospitals as compared to the public hospitals.

CONCLUSION

There is a need to focus on Information, Education, and Communication (IEC) activities for PM-JAY, especially in Madhya Pradesh. Capacity-building efforts need to be prioritized for private hospitals as compared to public hospitals, and for Madhya Pradesh as compared to Gujarat. There is a need to focus on enhancing the responsiveness of the scheme, and timely exchange of information with beneficiaries. There is also an urgent need for measures aimed at reducing the out-of-pocket payments made by the beneficiaries.

How much do government and households spend on an episode of hospitalisation in India? A comparison for public and private hospitals in Chhattisgarh state

BACKGROUND

Improvements in the financing of healthcare services are important for developing countries like India to make progress towards universal health coverage. Inpatient-care contributes to a big share of total health expenditure in India. India has a mixed health-system with a sizeable presence of private hospitals. Existing studies show that out-of-pocket expenditure (OOPE) incurred per hospitalisation in private hospitals was greater than public facilities. But, such comparisons have not taken into account the healthcare spending by government.

METHODS

For a valid comparison between public and for-profit private providers, this study in Indian state of Chhattisgarh assessed the combined spending by government and households per episode of hospitalisation. The supply-side and demand-side spending from public and private sources was taken into account. The study used two datasets: a) household survey for data on hospital utilisation, OOPE, cash incentives received by patients and claims raised under publicly funded health insurance (PFHI) schemes (n = 903 hospitalisation episodes) b) survey of public facilities to find supply-side government spending per hospitalisation (n = 64 facilities).

RESULTS

Taking into account all relevant demand and supply side expenditures, the average total spending per day of hospitalisation was INR 2833 for public hospitals and INR 6788 for private hospitals. Adjusted model for logarithmic transformation of OOPE while controlling for variables including case-mix showed that a hospitalisation in private hospitals was significantly more expensive than public hospitals (coefficient = 2.9, p < 0.001). Hospitalisations in private hospitals were more likely to result in a PFHI claim (adjusted-odds-ratio = 1.45, p = 0.02) and involve a greater amount than public hospitals (coefficient = 0.27, p < 0.001). Propensity-score matching models confirmed the above results. Overall, supply-side public spending contributed to 16% of total spending, demand-side spending through PFHI to 16%, cash incentives to 1% and OOPE to 67%. OOPE constituted 31% of total spending per episode in public and 86% in private hospitals.

CONCLUSIONS

Government and households put together spent substantially more per hospitalisation in private hospitals than public hospitals in Chhattisgarh. This has important implications for the allocative efficiency and the desired public-private provider-mix. Using public resources for purchasing inpatient care services from private providers may not be a suitable strategy for such contexts.

Strengthening leadership capacity: an unaddressed issue in Indian healthcare system

PURPOSE

Leadership skills are vital for efficient delivery of health reforms. India, a low- and middle-income country, is transforming its public health care significantly. The health workforce, particularly doctors, however lacks leadership skills. This study aims to highlight the leadership skills gap and raise concerns about how India might achieve its ambitious health reforms in the lack of formal, prospective leadership training for its workforce.

DESIGN/METHODOLOGY/APPROACH

This study conducted nine management development programmes between 2012 and 2020 and collected data from 416 (N = 444, 94% response rate) health-care professionals using a questionnaire. Participants were asked to inform leadership challenges that they perceived critical. A total of 47 unique challenges were identified, which were distributed across five domains of American College of Healthcare Executives Competency Assessment Tool (2020). Relevant information was also obtained from review of secondary sources including journal articles from scientific and grey literature and government websites.

FINDINGS

Majority of participants (85.36%) had never attended any management training and were from public sector (56.1%). Mean total experience was 18 years. Top 5 challenges were lack of motivation (54.26%), communication (52.38%), contracts management (48.31%), leadership skills (47.26%) and retention of workforce (45.56%). Maximum challenges (29) were in domain of business skills and knowledge, followed by knowledge of health-care environment (9), leadership, professionalism, and communication and relationship management (3 each).

ORIGINALITY/VALUE

In absence of the leadership training, senior health professionals particularly doctors in India, suffer leadership challenges. Efforts should be made to strengthen leadership capacity in Indian health-care system to advance the country's ongoing national health reforms.

Determinants of Out-of-Network Utilization of Care Among Insured Clients Under the National Health Insurance Fund of Sudan

Purpose

Knowledge of insured clients' utilization behavior is essential for developing evidence-based interventions for reform activities. This study explored the magnitude and determinants of voluntary out-of-network physician visit utilization among an insured population under the National Health Insurance Fund (NHIF) of Sudan.

Methods

This study was a cross-sectional survey conducted at the primary healthcare centers of NHIF in Al Jazirah state in Sudan. A structured interview questionnaire was used to collect data related to socio-economic and health insurance characteristics of NHIF clients and to assess their utilization behavior. Data were collected from September to October 2021.

Results

Of 768 NHIF clients who were interviewed (mean age 46 years, 55.1% females), 63.2% reported using out-of-network physician visits during the last six months prior to the interview. The median out-of-pocket payment for the last out-of-network physician visit was 5000 Sudanese pounds. The regression analysis revealed that clients’ gender, marital status, self-reported health, overall rating of the quality of care, rating of the general practitioner care, and ease of referral to a specialist were the significant determinants for seeking out-of-network physician care.

Conclusion

A high magnitude of out-of-network physician visit utilization was found among the insured NHIF clients of Al Jazirah state in Sudan. Policymakers should address issues identified in the current study to reduce patients’ leakage to out-of-network services.

Catastrophic health expenditure due to hospitalisation for COVID-19 treatment in India: findings from a primary survey

Objective

The COVID-19 pandemic has caused widespread illness and a significant proportion of the infected required hospitalisation for treatment. People in developing countries like India were vulnerable to high hospitalisation costs. Despite its crucial importance, few primary studies are available on this aspect of the pandemic. This study was aimed at finding out the out of pocket expenditure (OOPE) and incidence of catastrophic expenditure on hospitalisation of persons infected with COVID-19. A primary survey of 492 randomly selected hospitalisations of individuals tested positive for COVID-19 in high-burden districts during August to November 2020 was carried out telephonically in Chhattisgarh state of India.

Results

Public hospitals accounted for 69% of the hospitalisations for COVID-19 treatment. Mean OOPE per hospitalisation was Indian Rupees (INR) 4871 in public hospitals and INR 169,504 in private hospitals. Around 3% of hospitalisations in public hospitals and 59% in private hospitals resulted in catastrophic expenditure, at a threshold of 40% of non-food annual household expenditure. Enrolment under publicly or privately funded health insurance was not effective in curtailing OOPE. Multivariate analysis showed that utilisation of private hospitals was a key determinant of incurring catastrophic expenditure.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13104-022-05977-6.

The Political Economy of Public Health Inequalities and Inequities in India: Complexities, Challenges, and Strategies for Inclusive Public Health Care Policy

This article examines the political economy of health inequalities and inequities in the public health care system in India and identifies potential areas for interventions to promote equal and equitable health care for marginalized people. Drawing on the Political Economy of Health Model of Research, this article reiterates the inadequacy of policy frameworks and programs in ensuring accessible, affordable, and quality public health care services to all. We argue that for policies to be successful, policymakers should consider the diverse social registries of class, caste, religion, gender, region, ethnicity, and age, as well as their intersections. We also argue that health care policies and programs need to be: (a) dynamic and flexible, (b) intersectional and backed up by sufficient grassroots research, and (c) equitable at every stage of policy formulation, implementation, and evaluation.

Impact of public-funded health insurances in India on health care utilisation and financial risk protection: a systematic review

OBJECTIVE

Universal Health Coverage aims to address the challenges posed by healthcare inequalities and inequities by increasing the accessibility and affordability of healthcare for the entire population. This review provides information related to impact of public-funded health insurance (PFHI) on financial risk protection and utilisation of healthcare.

DESIGN

Systematic review.

DATA SOURCES

Medline (via PubMed, Web of Science), Scopus, Social Science Research Network and 3ie impact evaluation repository were searched from their inception until 15 July 2020, for English-language publications.

ELIGIBILITY CRITERIA

Studies giving information about the different PFHI in India, irrespective of population groups (above 18 years), were included. Cross-sectional studies with comparison, impact evaluations, difference-in-difference design based on before and after implementation of the scheme, pre-post, experimental trials and quasi-randomised trials were eligible for inclusion.

DATA EXTRACTION AND SYNTHESIS

Data extraction was performed by three reviewers independently. Due to heterogeneity in population and study design, statistical pooling was not possible; therefore, narrative synthesis was performed.

OUTCOMES

Utilisation of healthcare, willingness-to-pay (WTP), out-of-pocket expenditure (including outpatient and inpatient), catastrophic health expenditure and impoverishment.

RESULTS

The impact of PFHI on financial risk protection reports no conclusive evidence to suggest that the schemes had any impact on financial protection. The impact of PFHIs such as Rashtriya Swasthy Bima Yojana, Vajpayee Arogyashree and Pradhan Mantri Jan Arogya Yojana showed increased access and utilisation of healthcare services. There is a lack of evidence to conclude on WTP an additional amount to the existing monthly financial contribution.

CONCLUSION

Different central and state PFHIs increased the utilisation of healthcare services by the beneficiaries, but there was no conclusive evidence for reduction in financial risk protection of the beneficiaries.

REGISTRATION

Not registered.

A Narrative Synthesis Review of Out-of-Pocket Payments for Health Services Under Insurance Regimes: A Policy Implementation Gap Hindering Universal Health Coverage in Sub-Saharan Africa

BACKGROUND

"Achieve universal health coverage (UHC), including financial risk protection, access to quality essential healthcare services and access to safe, effective, quality and affordable essential medicines and vaccines for all" is the Sustainable Development Goal (SDG) 3.8 target. Although most high-income countries have achieved or are very close to this target, low- and middle-income countries (LMICs) especially those in sub-Saharan Africa (SSA) are still struggling with its achievement. One of the observed challenges in SSA is that even where services are supposed to be "free" at point-of-use because they are covered by a health insurance scheme, out-of-pocket fees are sometimes being made by clients. This represents a policy implementation gap. This study sought to synthesise the known evidence from the published literature on the 'what' and 'why' of this policy implementation gap in SSA.

METHODS

The study drew on Lipsky's street level bureaucracy (SLB) theory, the concept of practical norms, and Taryn Vian's framework of corruption in the health sector to explore this policy implementation gap through a narrative synthesis review. The data from selected literature were extracted and synthesized iteratively using a thematic content analysis approach.

RESULTS

Insured clients paid out-of-pocket for a wide range of services covered by insurance policies. They made formal and informal cash and in-kind payments. The reasons for the payments were complex and multifactorial, potentially explained in many but not all instances, by coping strategies of street level bureaucrats to conflicting health sector policy objectives and resource constraints. In other instances, these payments appeared to be related to structural violence and the 'corruption complex' governed by practical norms.

CONCLUSION

A continued top-down approach to health financing reforms and UHC policy is likely to face implementation gaps. It is important to explore bottom-up approaches - recognizing issues related to coping behaviour and practical norms in the face of unrealistic, conflicting policy dictates.

Why is women's utilization of a publicly funded health insurance low?: a qualitative study in Tamil Nadu, India

BACKGROUND

The continuing impetus for universal health coverage has given rise to publicly funded health insurance schemes in lower-middle income countries. However, there is insufficient understanding of how universal health coverage schemes impact gender equality and equity. This paper attempts to understand why utilization of a publicly funded health insurance scheme has been found to be lower among women compared to men in a southern Indian state. It aims to identify the gender barriers across various social institutions that thwart the policy objectives of providing financial protection and improved access to inpatient care for women.

METHODS

A qualitative study on the Chief Minister's Comprehensive Health Insurance Scheme was carried out in urban and rural impoverished localities in Tamil Nadu, a southern state in India. Thirty-three women and 16 men who had a recent history of hospitalization and 14 stakeholders were purposefully interviewed. Transcribed interviews were content analyzed based on Naila Kabeer's Social Relations Framework using gender as an analytical category.

RESULTS

While unpacking the navigation pathways of women to utilize publicly funded health insurance to access inpatient care, gender barriers are found operating at the household, community, and programmatic levels. Unpaid care work, financial dependence, mobility constraints, and gender norms emerged as the major gender-specific barriers arising from the household. Exclusions from insurance enrollment activities at the community level were mediated by a variety of social inequities. Market ideologies in insurance and health, combined with poor governance by State, resulted in out-of-pocket health expenditures, acute information asymmetry, selective availability of care, and poor acceptability. These gender barriers were found to be mediated by all four institutions-household, community, market, and State-resulting in lower utilization of the scheme by women.

CONCLUSIONS

Health policies which aim to provide financial protection and improve access to healthcare services need to address gender as a crucial social determinant. A gender-blind health insurance can not only leave many pre-existing gender barriers unaddressed but also accentuate others. This paper stresses that universal health coverage policy and programs need to have an explicit focus on gender and other social determinants to promote access and equity.

Estimating the cost of interventions to improve water, sanitation and hygiene in healthcare facilities across India

Introduction

Despite increasing utilisation of institutional healthcare in India, many healthcare facilities (HCFs) lack access to basic water, sanitation and hygiene (WASH) services. WASH services protect patients by improving infection prevention and control (IPC), which in turn can reduce the burden of healthcare-associated infections (HAIs). However, data on the cost of implementing WASH interventions in Indian HCFs are limited.

Methods

We surveyed 32 HCFs across India, varying in size, type and setting to obtain the direct costs of providing improved water supply, sanitation and IPC-supporting infrastructure. We calculated the average costs of WASH interventions and the number of HCFs nationwide requiring investments in WASH to estimate the financial cost of improving WASH across India’s public healthcare system over 1 year.

Results

Improving WASH across India’s public healthcare sector and sustaining services among upgraded facilities for 1 year would cost US$354 million in capital costs and US$289 million in recurrent costs from the provider perspective. The most costly interventions were those on water (US$238 million), linen reprocessing (US$112 million) and sanitation (US$104 million), while the least costly were interventions on hand hygiene (US$52 million), medical device reprocessing (US$56 million) and environmental surface cleaning (US$80 million). Overall, investments in rural HCFs would account for 64.4% of total costs, of which 52.3% would go towards primary health centres.

Conclusion

Improving IPC in Indian public HCFs can aid in the prevention of HAIs to reduce the spread of antimicrobial resistance. Although WASH is a necessary component of IPC, coverage remains low in HCFs in India. Using ex-post costs, our results estimate the investment levels needed to improve WASH across the Indian public healthcare system and provide a basis for policymakers to support IPC-related National Action Plan activities for antimicrobial resistance through investments in WASH.

Mixed and Multi-Methods Protocol to Evaluate Implementation Processes and Early Effects of the Pradhan Mantri Jan Arogya Yojana Scheme in Seven Indian States

In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers' experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India.

Health insurance coverage and its impact on out-of-pocket expenditures at a public sector hospital in Kerala, India

Background

Health insurance coverage ensures protection from catastrophic health-care expenditure, especially to the underprivileged sections of society. Health insurance schemes such as Ayushman Bharat are coming up in addition to the existing schemes such as Rashtriya Swasthya Bima Yojana in India. The objectives are to find the health insurance coverage and its impact on out-of-pocket (OOP) expenditure for public sector tertiary health-care hospitalization.

Methods

A cross-sectional study was conducted at a tertiary care hospital in Kerala. Insurance coverage was assessed among patients seeking inpatient care in various medical and surgical departments. OOP expenses incurred for those receiving and not receiving insurance coverage were compared. In addition, factors influencing enrolment and availing of insurance schemes were determined.

Results

The coverage of health insurance was found to be 74%. Awareness campaigns and activities of local self-government (LSG) departments were the important reasons for enrolment and availing, respectively. Significantly lower OOP expenditures occurred in insured persons with regard to expenses incurred for treatment procedures (P = 0.019), investigations (P = 0.004), and medicines (P = 0.001). Among the enrolled patients, 45% expressed dissatisfaction regarding available services.

Conclusion

A quarter of patients still remain out of insurance coverage. All patients are incurring OOP expenditures, though the insured patients have significantly lower OOP expenses. The role of primary care providers and LSG is pivotal in creating awareness and ensuring enrolment. Availing services depend on the availability of resources at the respective institution. Improvements in enrolment and use of health insurance should ultimately result in improved patient satisfaction.

Performance of India's national publicly funded health insurance scheme, Pradhan Mantri Jan Arogaya Yojana (PMJAY), in improving access and financial protection for hospital care: findings from household surveys in Chhattisgarh state

BACKGROUND

A national Publicly Funded Health Insurance (PFHI) scheme called Pradhan Mantri Jan Arogaya Yojana (PMJAY) was launched by government of India in 2018. PMJAY seeks to cover 500 million persons with an annual cover of around 7000 USD per household. PMJAY claims to be the largest government funded health scheme globally and has attracted an international debate as a policy for Universal Health Coverage. India's decade-long experience of the earlier national and state-specific PFHI schemes had shown poor effectiveness in financial protection. Most states in India have completed a year of implementation of PMJAY but no evaluations are available of this important scheme.

METHODS

The study was designed to find out the effect of enrolment under PMJAY in improving utilisation of hospital services and financial protection in Chhattisgarh which has been a leading state in implementing PFHI in terms of enrolment and claims. The study analyses three repeated cross-sections. Two of the cross-sections are from National Sample Survey (NSS) health rounds - year 2004 when there was no PFHI and 2014 when the older PFHI scheme was in operation. Primary data was collected in 2019-end to cover the first year of PMJAY implementation and it formed the third cross-section. Multivariate analysis was carried out. In addition, Propensity Score Matching and Instrumental Variable method were applied to address the selection problem in insurance.

RESULTS

Enrollment under PMJAY or other PFHI schemes did not increase utilisation of hospital-care in Chhattisgarh. Out of Pocket Expenditure (OOPE) and incidence of Catastrophic Health Expenditure did not decrease with enrollment under PMJAY or other PFHI schemes. The size of OOPE was significantly greater for utilisation in private sector, irrespective of enrollment under PMJAY.

CONCLUSION

PMJAY provided substantially larger vertical cover than earlier PFHI schemes in India but it has not been able to improve access or financial protection so far in the state. Though PMJAY is a relatively new scheme, the persistent failure of PFHI schemes over a decade raises doubts about suitability of publicly funded purchasing from private providers in the Indian context. Further research is recommended on such policies in LMIC contexts.

Using an equity-based framework for evaluating publicly funded health insurance programmes as an instrument of UHC in Chhattisgarh State, India

BACKGROUND

Universal health coverage (UHC) has provided the impetus for the introduction of publicly funded health insurance (PFHI) schemes in the mixed health systems of India and many other low- and middle-income countries. There is a need for a holistic understanding of the pathways of impact of PFHI schemes, including their role in promoting equity of access.

METHODS

This paper applies an equity-oriented evaluation framework to assess the impacts of PFHI schemes in Chhattisgarh State by synthesising literature from various sources and highlighting knowledge gaps. Data were collected from an extensive review of publications on PFHI schemes in Chhattisgarh since 2009, including empirical studies from the first author's PhD and grey literature such as programme evaluation reports, media articles and civil society campaign documents. The framework was constructed using concepts and frameworks from the health policy and systems research literature on UHC, access and health system building blocks, and is underpinned by the values of equity, human rights and the right to health.

RESULTS

The analysis finds that evidence of equitable enrolment in Chhattisgarh's PFHI scheme may mask many other inequities. Firstly, equitable enrolment does not automatically lead to the acceptability of the scheme for the poor or to equity in utilisation. Utilisation, especially in the private sector, is skewed towards the areas that have the least health and social need. Secondly, related to this, resource allocation patterns under PFHI deepen the 'infrastructure inequality trap', with resources being effectively transferred from tribal and vulnerable to 'better-off' areas and from the public to the private sector. Thirdly, PFHI fails in its fundamental objective of effective financial protection. Technological innovations, such as the biometric smart card and billing systems, have not provided the necessary safeguards nor led to greater accountability.

CONCLUSION

The study shows that development of PFHI schemes, within the context of wider neoliberal policies promoting private sector provisioning, has negative consequences for health equity and access. More research is needed on key knowledge gaps related to the impact of PFHI schemes on health systems. An over-reliance on and rapid expansion of PFHI schemes in India is unlikely to achieve UHC.

Quality of life perceptions amongst patients co-infected with Visceral Leishmaniasis and HIV: A qualitative study from Bihar, India

Background

Co-infection with Visceral Leishmaniasis (commonly known as Kala Azar, KA) and Human Immunodeficiency Virus (HIV) is increasingly being diagnosed among patients in Bihar. This qualitative study is the first assessment of self-reported quality of life among patients co-infected with KA-HIV in the Asian context.

Methods

We conducted semi-structured, in-depth interviews and adopted an inductive thematic analysis to generate evidence on the quality of life of patients co-infected with KA and HIV. Patients were purposively sampled until saturation was attained.

Results

We found that patients highly valued income or livelihood potential and health as indicators of a good quality life, and routinely went into debt accessing care in the private setup. This was due to perceptions of poor quality of care in the government setup and a lack of knowledge regarding available government services at the district level. KA symptoms were often misdiagnosed in the private sector as seasonal fever, while care providers found it difficult to disentangle the clinical symptoms of KA and HIV; hence, patients presented late to district hospitals. Patients perceived a high level of stigma, largely due to their HIV status, and routinely reported that HIV had “destroyed” their life.

Conclusions

Inadequate social support and referral pathways that were not conducive to patient needs negatively impacted patients’ quality of life. The dual burden of poverty interacting with the severity and chronicity of KA-HIV co-infection means financial support, increased community engagement, and collaborative decision making are crucial for co-infected patients. Increased provider awareness of co-infection and effective stigma-reduction interventions should be integrated to ensure that appropriate and effective access to care is possible for this vulnerable population. A sustainable long-term strategy requires a people-centered approach wherein the perceptions and life circumstances of patients are taken into account in the medical decision making process.

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.

When state-funded health insurance schemes fail to provide financial protection: An in-depth exploration of the experiences of patients from urban slums of Chhattisgarh, India

This paper explores the dynamics of access under the state-funded universal health insurance scheme in Chhattisgarh, India, and specifically the relationship between choice, affordability and acceptability. A qualitative case study of patients from the slums of Raipur City incurring significant heath expenditure despite using insurance, was conducted, examining the way patients and their families sought to navigate and negotiate hospitalisation under the scheme. Eight purposefully selected ('revelatory') instances of patients (and their families) utilising private hospitals are presented. Patients and their family exercised their agency to the extent that they could. Negotiations on payments took place at every stage, from admission to post-hospitalisation. Once admitted, however, families rapidly lost the initiative, and faced mounting costs, and increasingly harsh interactions with providers. The paper analyses how these outcomes were produced by a combination of failures of key regulatory mechanisms (notably the 'smart card'), dominant norms of care as a market transaction (rather than a right), and wider cultural acceptance of illegal informal healthcare payments. The unfavourable normative and cultural context of (especially) private sector provisioning in India needs to be recognised by policy makers seeking to ensure financial risk protection through publicly financed health insurance.

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.

Estimating the magnitude of diabetes mellitus and diabetic retinopathy in an older age urban population in Pune, western India

Objective

To estimate magnitude of diabetes mellitus (DM) and diabetic retinopathy (DR) in a high risk population in Pune, western India.

Methods

DR module in rapid assessment of avoidable blindness (RAAB) survey methodology was used. Sample size of 3527 was calculated based on estimates from previous studies in India. A certified RAAB trainer conducted a training of survey teams. Random cluster sampling with probability proportionate to size was adapted to select 60 clusters consisting of 60 individuals each. Two teams visited door to door until they finished visiting 60 persons each day. Visual acuity testing, torch light examination, red glow test were carried out to determine persons with visual impairment and its cause. Every participant then underwent a random blood sugar level testing. All diabetics (known and newly detected) underwent dilated retina evaluation with indirect ophthalmoscopy to determine their DR status. Data were entered into RAAB6 software and descriptive statistics generated.

Results

Response rate was 89.5 % (3221/3600), females (55.3%). The prevalence of DM in the sample was (706/3221) 21.9 %(95 CI 20.1 to 23.7). Prevalence of DR was 14.3 % (95% CI 11.7 to 16.9). Most diabetics (401/579, 69.3%) never had an eye examination for DR in the past. Cataract was the principal cause of blindness (50 % cases) among diabetics.

Conclusion

DM affects over fifth of persons above 50 years of age in western India. Nearly seventh of the diabetics have DR, but coverage of screening is poor in Pune.

Economic burden, impoverishment, and coping mechanisms associated with out-of-pocket health expenditure in India: A disaggregated analysis at the state level

INTRODUCTION

The high share of out-of-pocket (OOP) health expenditure imposes an extreme financial burden on households, and they have to incur a substantial amount of expenditure to avail health care services. This study analyses the inter-state differentials in the economic burden of OOP health expenditure, resultant impoverishment impact, and sources of finance used as coping mechanisms.

MATERIALS AND METHODS

The study is based on health expenditure survey, namely the 71^st Round on "Key Indicators of Social Consumption in India: Health," (2014) conducted in India by the National Sample Survey Organisation. The study uses headcount, payment gap, and concentration index to measure the economic burden, impoverishment impact of OOP health expenditure, and the level of inequality.

RESULTS

On the basis of results, the states can be divided into four distinct categories: (1) States with low economic burden and low poverty impact of OOP health expenditure, (2) low economic burden and high poverty impact of OOP health expenditure, (3) high economic burden and low poverty impact of OOP health expenditure, and (4) high economic burden and high poverty impact of OOP health expenditure.

CONCLUSIONS

Inter-state differentials in OOP health expenditure and impoverishment need proper attention of the government especially the policy makers.

Improvement of the reduction in catastrophic health expenditure in China's public health insurance

This study aimed to locate the contributing factors of Catastrophic Health Expenditure (CHE), evaluate their impacts, and try to propose strategies for reducing the possibilities of CHE in the context of China’s current public health insurance system. The financial data of all hospitalization cases from a sample hospital in 2013 were gathered and used to determine the pattern of household medical costs. A simulation model was constructed based on China’s current public health insurance system to evaluate the financial burden for medical service on Chinese patients, as well as to calculate the possibilities of CHE. Then, by adjusting several parameters, suggestions were made for China’s health insurance system in order to reduce CHE. It’s found with China’s current public health insurance system, the financial aid that a patient may receive depends on whether he is from an urban or rural area and whether he is employed. Due to the different insurance policies and the wide income gap between urban and rural areas, rural residents are much more financially vulnerable during health crisis. The possibility of CHE can be more than 50% for low-income rural families. The CHE ratio can be dramatically lowered by applying different policies for different household income groups. It’s concluded the financial burden for medical services of Chinese patients is quite large currently, especially for those from rural areas. By referencing different healthcare policies in the world, applying different health insurance policies for different income groups can dramatically reduce the possibility of CHE in China.

Assessing geographical inequity in availability of hospital services under the state-funded universal health insurance scheme in Chhattisgarh state, India, using a composite vulnerability index

BACKGROUND

Countries are increasingly adopting health insurance schemes for achieving Universal Health Coverage. India's state-funded health insurance scheme covers hospital care provided by 'empanelled' private and public hospitals.

OBJECTIVE

This paper assesses geographical equity in availability of hospital services under the universal health insurance scheme in Chhattisgarh state.

METHODS

The study makes use of district data from the insurance scheme and government surveys. Selected socio-economic indicators are combined to form a composite vulnerability index, which is used to rank and group the state's 27 districts into tertiles, named as highest, middle and lowest vulnerability districts (HVDs, MVDs, LVDs). Indicators of hospital service availability under the scheme - insurance coverage, number of empanelled private/public hospitals, numbers and amounts of claims - are compared across districts and tertiles. Two measures of inequality, difference and ratio, are used to compare availability between tertiles.

RESULTS

The study finds that there is a geographical pattern to vulnerability in Chhattisgarh state. Vulnerability increases with distance from the state's centre towards the periphery. The highest vulnerability districts have the highest insurance coverage, but the lowest availability of empanelled hospitals (3.4 hospitals per 100,000 enrolled in HVDs, vs 8.2/100,000 enrolled in LVDs). While public sector hospitals are distributed equally, the distribution of private hospitals across tertiles is highly unequal, with higher availability in LVDs. The number of claims (per 100,000 enrolled) in the HVDs is 3.5-times less than that in the LVDs. The claim amounts show a similar pattern.

CONCLUSIONS

Although insurance coverage is higher in the more vulnerable districts, availability of hospital services is inversely proportional to vulnerability and, therefore, the need for these services. Equitable enrolment in health insurance schemes does not automatically translate into equitable access to healthcare, which is also dependent on availability and specific dynamics of service provision under the scheme.