State health insurance and out-of-pocket health expenditures in Andhra Pradesh, India

Evaluating the Perceived Benefits and Effectiveness of a Government Health Insurance Scheme for Chronic Kidney Disease Patients: A Study in Nellore, Andhra Pradesh

Background Chronic kidney disease (CKD) is prevalent in India, particularly among underprivileged populations. Government initiatives such as the Dr. YSR Aarogyasri Health Insurance Scheme aim to provide affordable healthcare to economically impoverished individuals with kidney diseases. This study assessed participants' perceptions of the scheme's benefits, effectiveness, and challenges. Methods A cross-sectional study was conducted in Nellore, Andhra Pradesh, involving 100 CKD patients. Data was collected using a structured questionnaire assessing socio-demographic factors, insurance scheme's awareness, perceived benefits, and effectiveness. Multivariable logistic regression analysis was employed to identify factors influencing participants' perceptions. Results Participants aged over 40 years were more likely to perceive the Dr. YSR Aarogyasri Health Insurance Scheme positively (crude odds ratio {COR}: 9.2; 95% CI: 2.6-31.7). Males (adjusted odds ration {aOR} 1.5; 95% CI: 1.1-2.1), married individuals (aOR 1.3; 95% CI: 0.8-1.7), and those with higher education (aOR 1.9; 95% CI: 1.1-3.2) reported greater scheme effectiveness. However, 32% of CKD patients lacked awareness of the scheme's enrolment process, 29% believed that the eligibility criteria were too strict, and 17% of insured patients reported gaps in coverage for specific services, treatments, and medications, reducing the scheme's appeal to diseased patients. Discussion Older males and those with diabetes, who require extensive care, perceive the scheme as beneficial. However, gaps in awareness and coverage remain barriers to its full effectiveness. Conclusion While the Dr. YSR Aarogyasri Health Insurance Scheme provides critical financial relief for CKD patients, enhancing its outreach and expanding coverage could improve its impact. These findings can guide policy improvements to optimize the scheme's effectiveness and accessibility.

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.

What is the coverage of your health insurance plan? An audit of hospital billing

The provocative advice of health policymakers in endorsing private health insurance, as a critical tool for health reforms, is well-reckoned as a deterrent to mounting healthcare expenditure in the wake of the public health insurance quagmire. However, scholarly evidence has condemned the ineffectiveness of private health insurance in containing out-of-pocket expenditure. In this backdrop, we carried out a nuanced investigation of the coverage pattern of private health insurance policies. We examined the one-year billing information of private health insurance holders hospitalized in a multi-specialty teaching hospital. We found that private health insurance fails to provide full coverage, leading to underinsurance though minimal financial protection was extended. Moreover, reimbursement patterns under various cost heads are also discussed. We conclude by emphasizing the need for future research to fill the knowledge gap. We claim methodological novelty in its approach to data collection.

The effectiveness of a government-sponsored health protection scheme in reducing financial risks for the below-poverty-line population in Bangladesh

The Government of Bangladesh is piloting a non-contributory health protection scheme called Shasthyo Surokhsha Karmasuchi (SSK) to increase access to quality essential healthcare services for the below-poverty-line (BPL) population. This paper assesses the effect of the SSK scheme on out-of-pocket expenditure (OOPE) for healthcare, catastrophic health expenditure (CHE) and economic impoverishment of the enrolled population. A comparative cross-sectional study was conducted in Tangail District, where the SSK was implemented. From August 2019 to March 2020, a total of 2315 BPL households (HHs) (1170 intervention and 1145 comparison) that had at least one individual with inpatient care experience in the last 12 months were surveyed. A household is said to have incurred CHE if their OOPE for healthcare exceeds the total (or non-food) HH's expenditure threshold. Multiple regression analysis was performed using OOPE, incidence of CHE and impoverishment as dependent variables and SSK membership status, actual BPL status and benefits use status as the main explanatory variables. Overall, the OOPE was significantly lower (P < 0.01) in the intervention areas (Bangladeshi Taka (BDT) 23 366) compared with the comparison areas (BDT 24 757). Regression analysis revealed that the OOPE, CHE incidence at threshold of 10% of total expenditure and 40% of non-food expenditure and impoverishment were 33% (P < 0.01), 46% (P < 0.01), 42% (P < 0.01) and 30% (P < 0.01) lower, respectively, in the intervention areas than in the comparison areas. Additionally, HHs that utilized SSK benefits experienced even lower OOPE by 92% (P < 0.01), CHE incidence at 10% and 40% threshold levels by 72% (P < 0.01) and 59% (P < 0.01), respectively, and impoverishment by 27% at 10% level of significance. These findings demonstrated the significant positive effect of the SSK in reducing financial burdens associated with healthcare utilization among the enrolled HHs. This illustrates the importance of the nationwide scaling up of the scheme in Bangladesh to reduce the undue financial risk of healthcare utilization for those in poverty.

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.

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.

India's Opportunity to Address Human Resource Challenges in Healthcare

India's health indicators have improved in recent times but continue to lag behind those of its peer nations. The country with a population of 1.3 billion, has an estimated active health workers density of doctors and nurses/midwives of 5.0 and 6.0 respectively, for 10,000 persons, which is much lower than the WHO threshold of 44.5 doctors, nurses, and midwives per 10,000 population. The issue is compounded by the skewed inter-state, urban-rural, and public-private sector divide. Calls to urgently augment the skilled health workforce reinforce the central role human resources have in healthcare, which has evolved into a complex multifactorial issue. The paucity of skilled personnel must be addressed if India is to accelerate its progress toward achieving universal health coverage and its sustainable development goals (SDGs). The recent increase in the federal health budget offers an unprecedented opportunity to do this. This article utilizes the ready materials, extract and analyze data, distill findings (READ) approach to adding to the authors' experiential learning to analyze the health system in India. The growing divide between the public and the burgeoning private health sector systems, with the latter's booming medical tourism industry and medical schools, are analyzed along with the newly minted National Medical Council, to recommend policies that would help India achieve its SDGs.

Does the presence of health insurance and health facilities improve access to healthcare for major morbidities among Indigenous communities and older widows in India? Evidence from India Human Development Surveys I and II

In this paper, we examine whether access to treatment for major morbidity conditions is determined by the social class of the person who needs treatment. Secondly, we assess whether health insurance coverage and the presence of a PHC have any significant impact on the utilisation of health services, either public or private, for treatment and, more importantly, whether the presence of health insurance and PHC modify the treatment use behaviour for the two excluded communities of interest namely Indigenous communities and older widows using data from two rounds (2005 and 2012) of the nationally representative India Human Development Survey (IHDS). We estimated a multilevel mixed effects model with treatment for major morbidity as the outcome variable and social groups, older widows, the presence of a PHC and the survey wave as the main explanatory variables. The results confirmed access to treatment for major morbidity was affected by social class with Indigenous communities and older widows less likely to access treatment. Health insurance coverage did not have an effect that was large enough to induce a positive change in the likelihood of accessing treatment. The presence of a functional PHC increased the likelihood of treatment for all social groups except Indigenous communities. This is not surprising as Indigenous communities generally live in locations where the terrain is more challenging and decentralised healthcare up to the PHC might not work as effectively as it does for others. The social class to which one belongs has a significant impact on the ability of a person to access healthcare. Efforts to address inequity needs to take this into account and design interventions that are decentralised and planned with the involvement of local communities to be effective. Merely addressing one or two barriers to access in an isolated fashion will not lead to equitable access.

Short and longer-term impacts of health insurance on catastrophic health expenditures in Kwara State, Nigeria

BACKGROUND

Out- of-pocket health expenditures (OOPs) constitute a significant proportion of total health expenditures in many low- and middle-income countries (LMICs), leading to an increased likelihood of exposure to financial catastrophe in the event of illness. Health insurance has the potential to reduce catastrophic health expenditures (CHE), but rigorous evidence of its sustained impact is limited, especially in LMICs. This study examined the short- and longer-term effects of a health insurance program in Kwara State, Nigeria on CHE.

METHODS

The analysis is based on a panel dataset consisting of 3 waves of household surveys in program and comparison areas. The balanced data consists of 1,039 households and 3,450 individuals. We employed a difference-in-differences (DiD) regression approach to estimate intention-to-treat effects, and then computed average treatment effects on the treated by combining DiD with propensity score weighting and an instrumental variables analysis. CHE was measured as OOPs exceeding 10% of household consumption and 40% of capacity-to-pay (CTP).

RESULTS

Using 10% of consumption as a CHE measure, we found that living in the program area was associated with a 4.3 percentage point (pp) decrease in CHE occurrence (p < 0.05), while the effect on insured households was 5.7 pp (p < 0.05). The longer-term impact four years after program introduction was not significant. Heterogeneity analyses show a reduction in CHE of 7.2 pp (p < 0.01) in the short-term for the poorest tercile. No significant effects were found for the middle and richest terciles, nor in the longer-term. Households with a chronically ill member experienced a reduction in CHE of 9.4 pp (p < 0.01) in the short-term, but not in the longer-term. Most estimates based on the 40% of CTP measure were not statistically significant.

CONCLUSION

These findings highlight the critical role of health insurance in reducing the likelihood of catastrophic health expenditures, especially for vulnerable populations such as the poor and the chronically ill, and by extension in achieving universal health coverage. They also show that the beneficial impacts of health insurance may attenuate over time, as households potentially adjust their health-seeking behavior to the new scheme.

Mandatory health insurance and health care utilization in Togo

BACKGROUND

Despite the implementation of a mandatory health insurance (MHI) scheme in Togo since 2011, its coverage rate remains low, resulting in a high out-of-pocket payment rate. More than 10 years after its implementation, there are few empirical studies investigating the extent to which Togo's mandatory health insurance has improved beneficiaries' access to health care. Examining how MHI and healthcare use in Togo are related is the goal of this study.

METHODS

We use data from the Harmonized Survey on Living Conditions of Households (EHCVM), conducted in the member states of the West African Economic and Monetary Union (WAEMU) in 2018-2019 and covering 6,171 households in Togo. We employ multinomial logistic regression, given that the dependent variable is polytomous.

RESULTS

The results reveal a high rate of non-utilization of healthcare professionals in the case of illness, even among individuals with MHI coverage. Furthermore, the findings show that the MHI increases the likelihood of seeing a specialist physician and other formal health care professionals when sick. The results also reveal that a household's wealth is positively correlated with the likelihood of seeing formal health care professionals. Urban residents are statistically and significantly more likely than rural residents to see both a specialist physician and a general practitioner. The Grand Lomé region has a statistically and significantly higher likelihood of seeing a specialist physician than the Maritime region.

CONCLUSION

The results support the government's plan to implement universal health insurance. The government should take action to raise the standard of treatment provided to insured patients in health care centers. Additionally, the government should consider waiving medical fees for low-income policyholders. When waiving medical costs for low-income policyholders, the Togolese government should focus on the regions with the worst economic conditions. These interventions should be essential to ensure that no one is left behind. The difference between urban and rural communities should be reduced through supply-side policies that focus on rural areas.

Eliciting relative preferences for the attributes of health insurance schemes among rural consumers in India

There is a limited understanding of the preferences of rural consumers in India for health insurance schemes. In this article, we investigate the preferences of the rural population for the attributes of a health insurance scheme by implementing a discrete choice experiment (DCE). We identified six attributes through qualitative and quantitative study: enrollment, management, benefit package, coverage, transportation facility, and monthly premium. A D-efficient design of 18 choices has been constructed, each comprising two health insurance choices. We collected the representative sample from 675 household heads of the rural population through personal interviews. The preferences for the attributes and attribute levels were estimated using the multinomial logit (MNL) and random-parameter logit (RPL) models. The analysis shows that all attribute levels significantly affect the choice behavior (P < 0.05). The relative order of preferences for attributes are; enrollment, benefit package, monthly premium, management, coverage, and transportation.

Which indicator should be used? A comparison between the incidence and intensity of catastrophic health expenditure: using difference-in-difference analysis

BACKGROUND

Catastrophic health expenditure (CHE) represents out-of-pocket payment as a share of household income. Most previous studies have focused on incidence aspects when assessing health policy effects. However, because CHE incidence is a binary variable, the effect of the health policy could not accurately be evaluated. On the contrary, the intensity of CHE is a continuous variable that can yield completely different results from previous studies. This study reassesses the coverage expansion plan for four serious diseases using the intensity of CHE in Korea.

METHODS

We used the Korea Health Panel Study from 2013 to 2015 to conduct the analysis. The study population is households with chronic diseases patients. We divided the population into two groups: the policy beneficiary group, i.e., households with a patient of any of the four serious diseases, and the non-beneficiary group. A difference-in-difference model was employed to compare the variation in the intensity and incidence of CHE between the two groups. We defined the incidence of CHE as when the ratio of out-of-pocket medical expenses to household income is more than a threshold of 10%, and the intensity of CHE is the height of the ratio subtracting the threshold 10%.

RESULTS

The increased rate of CHE intensity in households with four serious diseases was lower than that in households with other chronic diseases. The interaction term, which represents the effect of the policy, has a significant impact on the intensity but not on the incidence of CHE.

CONCLUSIONS

CHE indicators should be applied differently according to the purpose of policy evaluation. The incidence of CHE should be used as the final achievement indicator, and the intensity of CHE should be used as the process indicator. Furthermore, because CHE has an inherent characteristic that is measured by the ratio of household income to medical expenses, to lower this, a differential out-of-pocket maximum policy for each income class is more appropriate than a policy for strengthening the coverage for specific diseases.

What Policy Approaches Were Effective in Reducing Catastrophic Health Expenditure? A Systematic Review of Studies from Multiple Countries

BACKGROUND

The United Nations set a goal for universal health coverage in all countries by 2030 and selected the catastrophic health expenditure (CHE) indicator as an assessment tool for this goal. Many countries have strived to reduce household CHE. However, no study has compared countries whose policies have had a remarkable effect on decreasing CHE. Therefore, the purpose of this systematic literature review is to find appropriate methods for measuring CHE that can help us to analyze the impact of health policies and identify countries whose health policies are most effective in reducing CHE.

METHOD

PubMed and Web of Science were searched. Studies that measured the incidence or intensity of CHE in multiple years were included. Two independent reviewers screened the literature, extracted the data, and analyzed the studies selected. Thirty-eight studies met the inclusion criteria for the review. We classified the selected research papers to random sampling and quasi-experimental studies.

RESULTS

We graphically presented the results of CHE incidence and intensity rates reported in the collected papers as a time series data set. Since most studies did not use sample weights, it was not easy to confirm whether the time series changes of CHE are significant. Therefore, we could find only two countries that had policy effects. Both countries established policies that focus on the poor.

CONCLUSION

There are so many studies that analyze CHE, but policies that are effective in reducing CHE are unknown. This study uses a systematic literature review methodology to determine effective policies by comparing CHE time series trends among countries. As a policy implication, it was found that because CHE is defined as the ratio of the ability to pay to medical expenses, a policy of differential medical expenses that is based on income level is effective.

Catastrophic Health Expenditure on Private Sector Pharmaceuticals: A Cross-Sectional Analysis from the State of Odisha, India

India has high rates of catastrophic health expenditure (CHE): 16% of Indian households incur CHE. To understand why CHE is so high, we conducted an in-depth analysis in the state of Odisha—a state with high rates of public sector facility use, reported eligibility for public insurance of 80%, and the provision of drugs for free in government-run facilities—yet with the second-highest rates of CHE across India (24%). We collected household data in 2019 representative of the state of Odisha and captured extensive information about healthcare seeking, including the facility type, its sector (private or public), how much was spent out-of-pocket, and where drugs were obtained. We employ Shapley decomposition to attribute variation in CHE and other financial hardship metrics to characteristics of healthcare, controlling for health and social determinants. We find that 36.3% (95% uncertainty interval: 32.7–40.1) of explained variation in CHE is attributed to whether a private sector pharmacy was used and the number of drugs obtained. Of all outpatient visits, 13% are with a private sector chemist, a similar rate as public primary providers (15%). Insurance was used in just 6% of hospitalizations and its use explained just 0.2% (0.1–0.4) of CHE overall. Eighty-six percent of users of outpatient care obtained drugs from the private sector. We estimate that eliminating spending on private drugs would reduce CHE by 56% in Odisha. The private sector for pharmaceuticals fulfills an essential health system function in Odisha—supplying drugs to the vast majority of patients. To improve financial risk protection in Odisha, the role currently fulfilled by private sector pharmacies must be considered alongside existing shortcomings in the public sector provision of drugs and the lack of outpatient care and drug coverage in public insurance programs.

Potential Impact of the Insurance on Catastrophic Health Expenditures Among the Urban Poor Population in India

Background:

Urban poor face a disproportionate burden of ill health and high out-of-pocket expenditure (OOPE), creating a severe unmet need for affordable and quality health care. This article highlights the impact of health insurance on OOPE and catastrophic healthcare expenditure among the urban poor of India.

Methods:

The study uses randomly collected household data from a baseline survey conducted in the states of Rajasthan and Uttar Pradesh. Separate Insurance impact models have been generated for the analysis.

Results:

Mean out-of-pocket health expenses is higher in the private health facility for the inpatient care but in case of outpatient care, the expenditure was more in public. Expenditure on medicine constitutes the largest part of the total OOPE. Insurance impact model shows that coverage on medicine alone can reduce medical impoverishment by 85% in the case of Outpatient Deparment (OPD) and 71% in the case of Inpatient Department (IPD). The urban poor preferred private facility for treatment in case of illness, albeit when it comes to delivery, they prefer public facility

Conclusions:

Study findings indicate overt reliance on private health care must be regulated, to reduce OOPE among the urban poor. Also, effective universal health insurance can go a long way in reducing the OOPE with availability of free medicines and diagnostics in the public health facilities.

A STUDY OF CATASTROPHIC HEALTH EXPENDITURES IN INDIA - EVIDENCE FROM NATIONALLY REPRESENTATIVE SURVEY DATA: 2014-2018

Abstract

Background: India is taking steps to provide Universal Health Coverage (UHC). Out-of-pocket (OOP) health care payment is the most important mechanism for health care payment in India. This study aims to investigate the effect of OOP health care payments on catastrophic health expenditures (CHE).

Methods: Data from the National Sample Survey Organization, Social Consumption in Health 2014 and 2018 are used to investigate the effect of OOP health expenditure on household welfare in India. Three aspects of catastrophic expenditure were analyzed in this paper: (i) incidence and intensity of ‘catastrophic’ health expenditure, (ii) socioeconomic inequality in catastrophic health expenditures, and (iii) factors affecting catastrophic health expenditures.

Results: The odds of incidence and intensity of CHE were higher for the poorer households. Using the logistic regression model, it was observed that the odds of incidence of CHE was higher among the households with at least one child aged less than 5 years, one elderly person, one secondary educated female member, and if at least one member in the household used a private healthcare facility for treatment. The multiple regression model showed that the intensity of CHE was higher among households with members having chronic illness, and if members had higher duration of stay in the hospital. Subsidizing healthcare to the households having elderly members and children is necessary to reduce CHE.

Conclusion: Expanding health insurance coverage, increasing coverage limits, and inclusion of coverage for outpatient and preventive services are vital to protect households. Strengthening public primary health infrastructure and setting up a regulatory organization to establish policies and conduct regular audits to ensure that private hospitals do not increase hospitalizations and the duration of stay is necessary.

Magnitude and determinants of inpatient health expenditure among the elderly in India

As India is experiencing both the epidemiological and demographic transition, the grey population is expected to incur huge expenditure on health care, especially hospitalization expenditure, in the coming decades. The present study, thus, examines the magnitude of different types of inpatient health expenditure (medical, non-medical, total and out-of-pocket expenditure) and factors affecting them among the Indian elderly, using a health expenditure model empirically tested by the World Health Organization. Data were drawn from the 75th Round of the Health Survey conducted by the National Sample Survey Office, Government of India. In addition to basic descriptive statistics, the study employs a two-stage least square and a generalized linear model with log-link and gamma distribution to conduct the econometric analysis. The study finds that higher income, education, and household size, diseases like cancer, treatment involving surgery, poor physical mobility, and the elderly opting for packages involve higher inpatient health spending, while both private and social health insurance tends to reduce the same. So, a thrust on insurance-financed health systems may reduce health spending among the elderly. In this context, the study suggests that a disease-specific policy is required for the elderly along with ensuring state-of-the-art treatment facilities for them in public hospitals for critical ailments.

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.

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.

Changes in Catastrophic Health Expenditures Depending on Health Policies in Turkey

Without any financial protection out of pocket health expenses are essential both because their increase causes difficulties in accessing higher quality health services for households and more importantly because it complicates access to most basic health services. As a result of the Health Transformation Program in practice in the Turkish healthcare system since 2003, significant changes have been done in all layers of the health system. Turkish Statistics Institute (TurkStat) publishes the ratio of households that bear catastrophic health expenditures since 2002. According to TurkStat data, the ratio of households with catastrophic expenditure has fallen from 0.81% in 2002 to 0.17% in 2011 with the health transformation project. However, it has started to rise since 2012 and has reached 0.31% in 2014. This study aims to evaluate the expenditure items that may have caused the rise of the ratio of households with catastrophic health expenditures since 2012, which had previously dropped with the Health Transformation Program that has caused fundamental changes in health policies. Methodology and definitions presented in the article named “Distribution of health payments and catastrophic expenditures: Methodology” by Ke Xu published by the World Health Organization in 2005 have been used. Percentages of health expenditure items among the total expenditure of households with positive health expenditure and households with catastrophic health expenditure between 2007 and 2014 have been evaluated using descriptive analysis. Findings have been interpreted in light of the health policies in practice between 2007 and 2014. An overview of the impact of the health policies reveals that medicine expenditures have decreased both for household and public health expenditures. Despite the impact of policies on the pharmaceutical industry was criticized by the industry, the positive impact can be seen by the decrease in the spending on medicine for households spending on health. Hospital service with positive health expenditure is seen to decrease health expenditure. The reasons for the increase in households with catastrophic health expenditure need further research. As a result, the study strives to discuss the possible policy reasons for the observed effects.

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.

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.

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.

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.

Evaluation of the Safe Care, Saving Lives (SCSL) quality improvement collaborative for neonatal health in Telangana and Andhra Pradesh, India: a study protocol

Background: The collaborative quality improvement approach proposed by the Institute for Healthcare Improvement has the potential to improve coverage of evidence-based maternal and newborn health practices. The Safe Care, Saving Lives initiative supported the implementation of 20 evidence-based maternal and newborn care practices, targeting labour wards and neonatal care units in 85 public and private hospitals in Telangana and Andhra Pradesh, India.

Objective: We present a protocol for the evaluation of this programme which aims to (a) estimate the effect of the initiative on evidence-based care practices and mortality; (b) evaluate the mechanisms leading to changes in adherence to evidence-based practices, and their relationship with contextual factors; (c) explore the feasibility of scaling-up the approach.

Methods: The mixed-method evaluation is based on a plausibility design nested within a phased implementation. The 29 non-randomly selected hospitals comprising wave II of the programme were compared to the 31 remaining hospitals where the quality improvement approach started later. We assessed mortality and adherence to evidence-based practices at baseline and endline using abstraction of registers, checklists, observations and interviews in intervention and comparison hospitals. We also explored the mechanisms and drivers of change in adherence to evidence-based practices. Qualitative methods investigated the mechanisms of change in purposefully selected case study hospitals. A readiness assessment complemented the analysis of what works and why. We used a difference-in-difference approach to estimate the effects of the intervention on mortality and coverage. Thematic analysis was used for the qualitative data.

Discussion: This is the first quality improvement collaborative targeting neonatal health in secondary and tertiary hospitals in a middle-income country linked to a government health insurance scheme. Our process evaluation is theory driven and will refine hypotheses about how this quality improvement approach contributes to institutionalization of evidence-based practices.

The impact of public health insurance on health care utilisation, financial protection and health status in low- and middle-income countries: A systematic review

BACKGROUND

Expanding public health insurance seeks to attain several desirable objectives, including increasing access to healthcare services, reducing the risk of catastrophic healthcare expenditures, and improving health outcomes. The extent to which these objectives are met in a real-world policy context remains an empirical question of increasing research and policy interest in recent years.

METHODS

We reviewed systematically empirical studies published from July 2010 to September 2016 using Medline, Embase, Econlit, CINAHL Plus via EBSCO, and Web of Science and grey literature databases. No language restrictions were applied. Our focus was on both randomised and observational studies, particularly those including explicitly attempts to tackle selection bias in estimating the treatment effect of health insurance. The main outcomes are: (1) utilisation of health services, (2) financial protection for the target population, and (3) changes in health status.

FINDINGS

8755 abstracts and 118 full-text articles were assessed. Sixty-eight studies met the inclusion criteria including six randomised studies, reflecting a substantial increase in the quantity and quality of research output compared to the time period before 2010. Overall, health insurance schemes in low- and middle-income countries (LMICs) have been found to improve access to health care as measured by increased utilisation of health care facilities (32 out of 40 studies). There also appeared to be a favourable effect on financial protection (26 out of 46 studies), although several studies indicated otherwise. There is moderate evidence that health insurance schemes improve the health of the insured (9 out of 12 studies).

INTERPRETATION

Increased health insurance coverage generally appears to increase access to health care facilities, improve financial protection and improve health status, although findings are not totally consistent. Understanding the drivers of differences in the outcomes of insurance reforms is critical to inform future implementations of publicly funded health insurance to achieve the broader goal of universal health coverage.

Socioeconomic determinants of out-of-pocket pharmaceutical expenditure among middle-aged and elderly adults based on the China Health and Retirement Longitudinal Survey

OBJECTIVE

Out-of-pocket pharmaceutical expenditure (OOPPE) is a considerable burden for middle-aged and elderly adults due to their high prevalence of diseases, insufficient income and absence of medical insurance in China. The objective of this study was to assess the determinants of OOPPE among Chinese middle-aged and elderly adults.

METHODS

This is a cross-sectional study based on the China Health and Retirement Longitudinal Survey conducted in 2015. The Andersen behavioural health model was used to select the factors. Binary multivariable logistic and generalised linear regressions were both applied to examine the determinants of OOPPE.

RESULTS

Of the respondents, 15.28%, 5.20% and 51.35% reported an OOPPE for outpatient services, inpatient services and self-medication, respectively. The OOPPE for outpatient services, inpatient services and self-medication was US$6.66, US$17.93 and US$15.32, respectively. Increased age significantly influenced the likelihood of OOPPE, and older people (aged >65 years) had lower OOPPE for outpatient services. Having health insurance significantly reduced the likelihood of OOPPE for outpatient and inpatient services but increased OOPPE for self-medication. In general, compared with the low-income group, higher income groups had a significantly lower likelihood of having an OOPPE, and when they did the amounts were less. Generally, middle-aged and elderly people with poor self-reported health status, limitation of daily activities, and critical or chronic diseases had a significantly higher likelihood of having an OOPPE and at a significantly higher amount.

CONCLUSION

Policy-making efforts should focus on reducing self-medication OOPPE and alleviating its associated socioeconomic determinants to ease the economic burden of diseases among middle-aged and elderly adults in China.

Whether the industrial workers of slums have access to job insurance?

Purpose

Securing a job in an industry is a boon for most of the slum dwellers. When the primary earner of a slum household suffers from occupational illness and injuries, without insurance coverage or partial coverage of insurance, this boon may become a curse in the long run. The occupational security and safety along with the fact that whether such workers are insured is an important aspect and has a close link with the expenditure on illness. Thus, the accessibility to employees’ insurance in the risky industrial occupation, particularly for slum dwellers, is crucial to protect them from falling into poverty. Studies on occupational health of the poor workers are either limited to informal sectors or remain industry specific and the analysis of their accessibility to job insurance is rarely done. The paper aims to discuss these issues.

Design/methodology/approach

The research questions are framed to analyze the types of insurance accessible to workers across various industries; the accessibility to insurance, however, varying across risk intensities of various industries; and the determinants of insurance accessibility of the industrial workers living in slums. The determinants of accessibility of job insurance are analyzed with a binary Logit model. A multi-stage random sampling technique is used to collect the primary data from 320 industrial workers living in the slums of the Indian state of West Bengal.

Findings

The industrial workers, irrespective of the types of industries, are exposed to a high-risk category without proper job insurance. The higher industrial income is not adequate to prevent financial hardships. Access to insurance is more likely for the respondents with job tenure of more than two years and less likely for the workers who are working for more than eight hours per day.

Social implications

This study provides a significant insight to the policymakers concerning health dynamics of the slum dwellers, which can improve their livelihood.

Originality/value

The analysis of the industry-specific risk intensities with accessibility to insurance contributes to understanding the coverage of the insurance scheme for the workers in slums.

The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

Background

Rising food bank use in the past decade in the UK raises questions about whether food insecurity has increased. Using the 2016 Food and You survey, we describe the magnitude and severity of the problem, examine characteristics associated with severity of food insecurity, and examine how vulnerability has changed among low-income households by comparing 2016 data to the 2004 Low Income Diet and Nutrition Survey.

Methods

The Food and You survey is a representative survey of adults living in England, Wales, and Northern Ireland (n=3118). Generalised ordered logistic regression models were used to examine how socioeconomic characteristics related to severity of food insecurity. Coarsened exact matching was used to match respondents to respondents in the 2004 survey. Logistic regression models were used to examine if food insecurity rose between survey years.

Results

20.7% (95% CI 18.7% to 22.8%) of adults experienced food insecurity in 2016, and 2.72% (95% CI 2.07% to 3.58%) were severely food insecure. Younger age, non-white ethnicity, low education, disability, unemployment, and low income were all associated with food insecurity, but only the latter three characteristics were associated with severe food insecurity. Controlling for socioeconomic variables, the probability of low-income adults being food insecure rose from 27.7% (95% CI 24.8% to 30.6 %) in 2004 to 45.8% (95% CI 41.6% to 49.9%) in 2016. The rise was most pronounced for people with disabilities.

Conclusions

Food insecurity affects economically deprived groups in the UK, but unemployment, disability and low income are characteristics specifically associated with severe food insecurity. Vulnerability to food insecurity has worsened among low-income adults since 2004, particularly among those with disabilities.

Inequity & burden of out-of-pocket health spending: District level evidences from India

Background & objectives:

Numerous studies have highlighted the regressive and immiserating impact of out-of-pocket (OOP) health spending in India. However, most of these studies have explored this issue at the national or up to the State level, with an associated risk of overlooking intra-State diversities in the health system and health-seeking behaviour and their implication on the financial burden of healthcare. This study was aimed to address this issue by analyzing district level diversities in inequity, financial burden and impoverishing impact of OOP health spending.

Methods:

A household survey of 62,335 individuals from 12,134 households, covering eight districts across three States, namely Gujarat, Haryana and Rajasthan was conducted during 2014-2015. Other than general household characteristics, the survey collected information on household OOP [sum total of expenditure on doctor consultation, drugs, diagnostic tests etc. on inpatient depatment (IPD), outpatient depatment (OPD) or chronic ailments] and household monthly consumption expenditure [sum total of monthly expenditure on food, clothing, education, healthcare (OOP) and others]. Gini index of consumption expenditure, concentration index and Kakwani index (KI) of progressivity of OOP, catastrophic burden (at 20% threshold) and poverty impact (using district-level poverty thresholds) were computed, for these eight districts using the survey data. The concentration curve (of OOP expenditure) and Lorenz curve (of consumption expenditure) for the eight districts were also drawn.

Results:

The distribution of OOP was found to be regressive in all the districts, with significant inter-district variations in equity parameters within a State (KI ranges from −0.062 to −0.353). Chhota Udepur, the only tribal district within the sample was found to have the most regressive distribution (KI of −0.353) of OOP. Furthermore, the economic burden of OOP was more pronounced among the rural sample (CB of 19.2% and IM of 8.9%) compared to the urban sample (CB of 9.4% and IM of 3.7%).

Interpretation & conclusions:

The results indicate that greater decentralized planning taking into account district-level health financing patterns could be an effective way to tackle inequity and financial vulnerability emerging out of OOP expenses on healthcare.

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.

Health financing strategies to reduce out-of-pocket burden in India: a comparative study of three states

Background

To achieve the Sustainable Development Goals, Indian States have implemented different strategies to arrest high out-of-pocket expenditure (OOPE) and to increase equity into healthcare system. Tamil Nadu (TN) and Rajasthan have implemented free medicine scheme in all public hospitals and West Bengal (WB) has devised Fair Price Medicine Shop (FPMS) scheme, a public-private-partnership model in the state. In this background, the objectives of the paper are to -

Study the utilization pattern of public in-patient care facilities for the states,

Examine the effectiveness of the strategies adopted by the states to arrest high OOPE and

Analyze the extent of equity in public in-patient care services in the states.

Methods

National Sample Survey (71st and 60th round) data, Detailed Demand for Grants of the state governments and the National Rural/Urban Health Mission data have been used for the study. Exploratory data analysis and benefit incidence analysis have been applied to estimate the utilization, OOPE and extend of equity in the states.

Results

The results show that overall utilization of public facilities in TN and Rajasthan has increased substantially; whereas, utilization of public facility has decreased in WB even among the poorest. In addition, OOPE for both medical and medicine is the highest in WB among three states for public sector hospitalizations. Surprisingly, OOPE on medicine is the highest for the poorest class of WB. Analysis showed that the mismatch between actual need and FPMS drug-list has led to high OOPE in the state. Overall, benefit incidence of public subsidy is the highest among the poorest class in all the states. However, geographical sector-wise inequity in public subsidy distribution persists in the states. Analysis of cost of inpatient care shows that TN provides the maximum subsidy for hospitalization and WB provides the minimum. An inverse relationship between utilization of inpatient care and public subsidy has been observed from the analysis.

Conclusion

In conclusion we could say that TN & Rajasthan have successfully implemented their health financing strategies to reduce the health expenditure burden. However, policy-level changes are required to improve the situation in WB.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3633-5) contains supplementary material, which is available to authorized users.

Out-of-pocket expenditure for hospitalization in Haryana State of India: Extent, determinants & financial risk protection

Background & objectives:

India aspires to achieve universal health coverage, which requires ensuring financial risk protection (FRP). This study was done to assess the extent of out-of-pocket (OOP) expenditure and FRP for hospitalization in Haryana State, India. Further, the determinants for FRP were also evaluated.

Methods:

Data collected as a part of a household level survey conducted in Haryana ‘Concurrent Evaluation of National Rural Health Mission: Haryana Health Survey’ were analyzed. Descriptive analysis was undertaken to assess socio-demographic characteristics, hospitalization rate, extent and determinants of OOP expenditure and FRP. Prevalence of catastrophic health expenditure (CHE) (more than 40% of non-food expenditure) and impoverishment (Int$ 1.25) were estimated. Multivariate logistic regression was used to assess determinants of FRP.

Results:

Hospitalization rate was found to be 3106 persons or 3307 episodes per 100,000 population. Median OOP expenditure on hospitalization was ₹ 8000 (USD 133), which was predominantly attributed to medicines (37%). Prevalence of CHE was 25.2 per cent with higher prevalence amongst males [odds ratio (OR)=1.30], those belonging to scheduled caste and scheduled tribes (OR=1.35), poorest 20 per cent households (OR=3.05), having injuries (OR=4.03) and non-communicable diseases (OR=3.13) admitted in a private hospital (OR=2.69) and those who were insured (OR=1.74). There was a 12 per cent relative increase in poverty head count due to OOP payments on healthcare.

Interpretation & conclusions:

Our findings showed that hospitalization resulted in significant OOP expenditure, leading to CHEs and impoverishment of households. Impact of OOP expenditures was inequitably more on the vulnerable groups. OOP expenditure may be curtailed through provision of free medicines and diagnostics and removal of any form of user charges.

The impact of subsidized private health insurance and health facility upgrades on healthcare utilization and spending in rural Nigeria

This paper analyzes the quantitative impact of an intervention that provides subsidized low-cost private health insurance together with health facility upgrades in Nigeria. The evaluation, which measures impact on healthcare utilization and spending, is based on a quasi-experimental design and utilizes three population-based household surveys over a 4-year period. After 4 years, the intervention increased healthcare use by 25.2 percentage points in the treatment area overall and by 17.7 percentage points among the insured. Utilization of modern healthcare facilities increased after 4 years by 20.4 percentage points in the treatment area and by 18.4 percentage points among the insured due to the intervention. After 2 years of program implementation, the intervention reduced healthcare spending by 51% compared with baseline, while after 4 years, spending resumed to pre-intervention levels.

Out-of-pocket expenditure for health care: District level estimates for Haryana state in India

INTRODUCTION

In this paper, we present district level out-of-pocket (OOP) expenditures with respect to outpatient consultation within last 15 days and hospitalization in last 1 year for Haryana state.

METHODS

The data from a large cross-sectional household survey covering all 21 districts of Haryana comprising of randomly selected 79 742 households were analyzed. Of the total sample, 56 056 households consisting of 314 639 individuals in 21 districts of Haryana state were surveyed to gather information on OOP expenditure incurred on outpatient consultation within last 15 days. Similarly, 59 901 households and 324 977 respondents were interviewed to elicit OOP expenditures for any hospitalization during the 1 year preceding the survey. Mean OOP expenditure per OP consultation, per hospitalization as well as per capita were computed. Mean OOP expenditure was also estimated by the type of provider, gender, and district.

RESULTS

The mean OOP expenditure for OP consultation and hospitalization in Haryana was Indian National Rupees (INR) 1005 (US Dollar [USD] 16.1; 95% CI: INR 934-1076) and INR 22 489 (USD 360.0; 95% CI: INR 21 375-23 608), respectively. Mean per capita OOP expenditure for OP consultation, which was INR 85 (USD 1.3) in Haryana, varied from INR 595 (USD 9.5) in district Panipat to INR 29 (USD 0.5) in district Kaithal.

CONCLUSION

This is the first study to comprehensively present district level estimates for OOP expenditure for health care. These estimates are useful for policy planning, and preparation for district and state health accounts.

Sex differences in utilisation of hospital care in a state-sponsored health insurance programme providing access to free services in South India

Background

Universal healthcare coverage provides healthcare and financial protection to all citizens and might help to facilitate gender equity in care. We assessed the utilisation of hospital care services among women and men in a large underprivileged population with access to free hospital care in India.

Methods

The Rajiv Aarogyasri Community Health Insurance Scheme, a state-sponsored scheme, provided access to free hospital care for poor households across undivided Andhra Pradesh. Claims data for hospitalisations between 2008 and 2012 were analysed to determine the number of individuals, hospitalisations, bed-days and hospital expenditure for sex-specific and sex-neutral conditions, by sex, disease category and age group.

Results

A total of 961 442 individuals (43% women), 1 223 723 hospitalisations (48% women), 7.7 million bed-days (47% women) and hospital expenditure of US$579.3 million (42% women) were recorded. Sex-specific conditions accounted for 27% of hospitalisations, 12% of bed-days and 15% of costs for women, compared with 5%, 4% and 4% in men. Women had a lower share of hospitalisations (42%), bed-days (45%) and costs (39%) for sex-neutral conditions than men. These findings were observed across 14 of 18 disease categories and across all age groups, but especially for older and younger women.

Interpretation

In this large underprivileged population in India with access to free hospital care, utilisation of hospital care differed for women and men. For sex-neutral conditions, women accessed a smaller proportion of care than men, suggesting that coverage of hospital care alone is not sufficient to guarantee gender equity in access to healthcare.

Quantifying the financial burden of households' out-of-pocket payments on medicines in India: a repeated cross-sectional analysis of National Sample Survey data, 1994-2014

OBJECTIVE

The objective of this research is to generate new evidence on financial implications of medicines out-of-pocket (OOP) payments for households. Another objective is to investigate which disease conditions contributed to a significant proportion of households' financial burden.

SETTING

All Indian states including union territories, 1993-2014.

DESIGN

Repeated cross-sectional household surveys.

DATA

Secondary data of nationwide Consumer Expenditure Surveys for the years 1993-1994, 2004-2005 and 2011-2012 and one wave of Social Consumption: Health for the year 2014 from National Sample Survey Organisation.

OUTCOME MEASURES

OOP expenditure on healthcare in general and medicines in specific.

RESULTS

Total OOP payments and medicines OOP payments were estimated to be 6.77% (95% CI 6.70% to 6.84%) and 4.49% (95% CI 4.45% to 4.54%) of total consumption expenditure, respectively, in the year 2011-2012 which marked significant increase since 1993-1994. These proportions were 11.46% (95% CI 11.36% to 11.56%) and 7.60% (95% CI 7.54% to 7.67%) of non-food expenditure, respectively, in the same year. Total OOP payments and medicines OOP payments were catastrophic for 17.9% (95% CI 17.7% to 18.2%) and 11.2% (95% CI 11.0% to 11.4%) households, respectively, in 2011-2012 at the 10% of total consumption expenditure threshold, implying 29 million households incurred catastrophic OOP payments in the year 2011-2012. Further, medicines OOP payments pushed 3.09% (95% CI 2.99% to 3.20%), implying 38 million persons into poverty in the year 2011-2012. Among the leading cause of diseases that caused significant OOP payments are cancers, injuries, cardiovascular diseases, genitourinary conditions and mental disorders.

CONCLUSIONS

Purchase of medicines constitutes the single largest component of the total OOP payments by households. Hence, strengthening government intervention in providing medicines free in public healthcare facilities has the potential to considerably reduce medicine-related spending and total OOP payments of households and reduction in OOP-induced poverty.

Effectiveness of government strategies for financial protection against costs of hospitalization Care in India

Background

In the past decade, India has seen the introduction of many ‘publicly funded health insurance’ schemes (PFHIs) that claim to cover approximately 300 million people and are essentially forms of purchasing care from both public and private providers to reduce out-of-pocket expenditure (OOPE) for hospitalization.

Methods

Data from a recent government-organized nationwide household survey, The National Sample Survey 71st Round, were used to analyse the effectiveness and equity of tax-funded public health services and PFHIs as distinct but overlapping approaches to financial protection for hospitalization across different socio-economic categories. Cross-tabulation analysis, multivariate logistic regression and propensity score matching were the main analytical methods used.

Results

Government hospitals provide access to 45.6% of all hospitalization needs. Although poorer quintiles use public hospitals more often, even in the poorest quintile, as many as 37.2% are utilizing private hospitals. The average OOPE that a household experiences for hospitalization in public hospitals is approximately only one-fifth of the OOPE for hospitalization in the private sector. PFHI schemes cover 12.8% of the population, and coverage is higher in upper quintiles and in urban areas. Hospitalization rates increase with PFHI coverage, and this occurs with both public and private providers. Propensity score matching shows that PFHI contributes to a marginal reduction (1%) in ‘catastrophic health expenditure incidence at the 25% threshold’ (CHE-25) for the bottom three quintiles. The reported coverage of PFHIs was greater in the upper income quintiles. Utilization of public services was greater in the poorer income quintiles and more marginalized social groups.

Conclusions

Periodic surveys are essential to guide policy choices regarding the appropriate mix of strategies for financial protection in pluralistic systems. There is a need for caution regarding any shift in the role of governments from providing services to purchasing care, given the contexts and limitations of currently available PFHIs. Even with tax-funded public services, although the average OOPE is lower than the care purchased through PFHIs, there is still a modest level of CHE and impoverishment due to health care costs that persist. Both strategies need to be synergized for more effective financial protection.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5431-8) contains supplementary material, which is available to authorized users.

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.

Treatment-seeking and out-of-pocket expenditure on childhood illness in a migrant tribal community in Bhubaneswar, Odisha State, India

BACKGROUND

In India, migrant status, tribal affiliation and poverty render tribal migrants more vulnerable than any other group which leads to high treatment costs and the risk of low access to health care.

OBJECTIVE

To examine treatment-seeking behaviour and out-of-pocket (OOP) expenditure on the treatment of childhood illnesses, with a focus on gender in a migrant tribal community in Bhubaneswar, eastern India.

METHODS

A total of 175 households with a child aged 0-14 years and who had migrated within the last 12 years were selected from tribal-dominated slums. Data on health-seeking behaviour and expenditure on a recent illness in the youngest child were collected by interviewing mothers during October 2007 to March 2008.

RESULTS

Of the 175 children, 78.8% had at least one episode of illness during the previous year. Of the total number of episodes, 71% had been treated and 61% of them had incurred OOP expenditure. A significantly lower proportion of episodes of illness in girls had been treated than in boys (P = 0.01) and incurred OOP expenditure (P = 0.05). Private health care was preferred and only 16.5% availed themselves of the government sources. About 89 and 87% of households of boys and girls, respectively, incurred OOP expenditure. A child's gender (female) (P = 0.05), mother's education (P = 0.002) and type of illness (P = 0.002) were significantly associated with total OOP expenditure.

CONCLUSION

Further studies are warranted to address the low access to government health care and thereby reduce high OOP expenditure by tribal migrants on low incomes. Efforts are required to increase the ability of communities and health providers to identify and address the issues of gender and equity in health care along with a focus on culture-sensitive service provision.

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.

Out of Pocket Expenditure for Hospitalization among Below Poverty Line Households in District Solan, Himachal Pradesh, India, 2013

INTRODUCTION

Health insurance schemes, like Rashtriya Swasthya Bima Yojana (RSBY), should provide financial protection against catastrophic health costs by reducing out of pocket expenditure (OOPE) for hospitalizations. We estimated and compared the proportion and extent of OOPE among below poverty line (BPL) families beneficiaries and not beneficiaries by RSBY during hospitalizations in district Solan, H.P., India, 2013.

METHODS

We conducted a cross sectional survey among hospitalized BPL families in the beneficiaries and non-beneficiaries groups. We compared proportion incurring OOPE and its extent during hospitalization, pre/post-hospitalization periods in different domains.

RESULTS

Overall, proportion of non-beneficiaries who incurred OOPE was higher than the beneficiaries but it was not statistically significant (87.2% vs. 80.9%). The median overall OOPE was $39 (Rs 2567) in the non-beneficiaries group as compared to $11 (Rs 713) in the beneficiaries group (p<0.01). Median expenditure on in house and out house drugs and consumables was $23 (Rs 1500) in the non beneficiaries group as compared to nil in the beneficiaries group (p<0.01). Non-beneficiary status was significantly associated [OR: 2.4 (1.3-4.3)] with OOPE above median independently and also after adjusting for various covariates.

CONCLUSION

RSBY has decreased the extent of OOPE among the beneficiaries; however OOPE was incurred mainly due to purchase of drugs from outside the health facility. The treatment seeking behaviour in beneficiaries group has improved among comparatively older group with chronic conditions. RSBY has enabled beneficiaries to get more facilities such as drugs, consumables and diagnostics from the health facility.

Economic vulnerability to health shocks and coping strategies: evidence from Andhra Pradesh, India

Empirical research has shown that households in developing countries are unable to sustain current levels of consumption during and after severe health crises due to substantial increase in medical expenditure and/or loss of income. Health events are also found to have an adverse impact on nutritional status and educational attainment of household members. Thus, in this study, we investigate: who are vulnerable to welfare loss from health shocks, what are the household responses to cope with the economic burden of health shocks and if policy responses like state health insurance schemes are effective in reducing the economic vulnerability. We use self-reported measures of health shocks and coping strategies from the longitudinal survey of the ongoing Young Lives project in India [Andhra Pradesh (AP)] to identify the characteristics of vulnerable groups and perform three-level random intercept logistic regression that takes into account contextual or environmental factors. What emerges is socioeconomic status of household (determined by education, wealth, occupation and caste/religious group) and its demographic characteristics like gender of the household head and proportion of elderly and disabled members matter for outcomes related to health events. Households adopt different strategies to cope with the economic costs of ill-health; borrowing is the most widely used strategy. For credit, majority of households rely on informal sources (moneylenders, friends, relatives, etc.) and have little or no access to formal sources. However, health shock to main breadwinner leads to households adopting costly strategies like reducing consumption or sending children to work. We found no evidence that the state health insurance scheme reduced the household welfare loss from health shocks and their coping strategies. The results suggest that health insurance schemes have to be complemented with access to micro-credit and social security schemes for self-employed persons/workers in informal sector to reduce the economic burden faced by households due to health shocks.

Has the Rajiv Aarogyasri Community Health Insurance Scheme of Andhra Pradesh Addressed the Educational Divide in Accessing Health Care?

BACKGROUND

Equity of access to healthcare remains a major challenge with families continuing to face financial and non-financial barriers to services. Lack of education has been shown to be a key risk factor for 'catastrophic' health expenditure (CHE), in many countries including India. Consequently, ways to address the education divide need to be explored. We aimed to assess whether the innovative state-funded Rajiv Aarogyasri Community Health Insurance Scheme of Andhra Pradesh state launched in 2007, has achieved equity of access to hospital inpatient care among households with varying levels of education.

METHODS

We used the National Sample Survey Organization 2004 survey as our baseline and the same survey design to collect post-intervention data from 8623 households in the state in 2012. Two outcomes, hospitalisation and CHE for inpatient care, were estimated using education as a measure of socio-economic status and transforming levels of education into ridit scores. We derived relative indices of inequality by regressing the outcome measures on education, transformed as a ridit score, using logistic regression models with appropriate weights and accounting for the complex survey design.

FINDINGS

Between 2004 and 2012, there was a 39% reduction in the likelihood of the most educated person being hospitalised compared to the least educated, with reductions observed in all households as well as those that had used the Aarogyasri. For CHE the inequality disappeared in 2012 in both groups. Sub-group analyses by economic status, social groups and rural-urban residence showed a decrease in relative indices of inequality in most groups. Nevertheless, inequalities in hospitalisation and CHE persisted across most groups.

CONCLUSION

During the time of the Aarogyasri scheme implementation inequalities in access to hospital care were substantially reduced but not eliminated across the education divide. Universal access to education and schemes such as Aarogyasri have the synergistic potential to achieve equity of access to healthcare.

Private sector participation in delivering tertiary health care: a dichotomy of access and affordability across two Indian states

Poor quality care in public sector hospitals coupled with the costs of care in the private sector have trapped India's poor in a vicious cycle of poverty, ill health and debt for many decades. To address this, the governments of Andhra Pradesh (AP) and Maharashtra (MH), India, have attempted to improve people's access to hospital care by partnering with the private sector. A number of government-sponsored schemes with differing specifications have been launched to facilitate this strategy.

AIMS

This article aims to compare changes in access to, and affordability and efficiency of private and public hospital inpatient (IP) treatments between MH and AP from 2004 to 2012 and to assess whether the health financing innovations in one state resulted in larger or smaller benefits compared with the other.

METHODS

We used data from household surveys conducted in 2004 and 2012 in the two states and undertook a difference-in-difference (DID) analysis. The results focus on hospitalization, out-of-pocket expenditure and length of stay.

RESULTS

The average IP expenditure for private hospital care has increased in both states, but more so in MH. There was also an observable increase in both utilization of and expenditure on nephrology treatment in private hospitals in AP. The duration of stay recorded in days for private hospitals has increased slightly in MH and declined in AP with a significant DID. The utilization of public hospitals has reduced in AP and increased in MH.

CONCLUSION

The state of AP appears to have benefited more than MH in terms of improved access to care by involving the private sector. The Aarogyasri scheme is likely to have contributed to these impacts in AP at least in part. Our study needs to be followed up with repeated evaluations to ascertain the long-term impacts of involving the private sector in providing hospital care.

Government health insurance for people below poverty line in India: quasi-experimental evaluation of insurance and health outcomes

OBJECTIVES

To evaluate the effects of a government insurance program covering tertiary care for people below the poverty line in Karnataka, India, on out-of-pocket expenditures, hospital use, and mortality.

DESIGN

Geographic regression discontinuity study.

SETTING

572 villages in Karnataka, India.

PARTICIPANTS

31,476 households (22,796 below poverty line and 8680 above poverty line) in 300 villages where the scheme was implemented and 28,633 households (21,767 below poverty line and 6866 above poverty line) in 272 neighboring matched villages ineligible for the scheme.

INTERVENTION

A government insurance program (Vajpayee Arogyashree scheme) that provided free tertiary care to households below the poverty line in about half of villages in Karnataka from February 2010 to August 2012.

MAIN OUTCOME MEASURE

Out-of-pocket expenditures, hospital use, and mortality.

RESULTS

Among households below the poverty line, the mortality rate from conditions potentially responsive to services covered by the scheme (mostly cardiac conditions and cancer) was 0.32% in households eligible for the scheme compared with 0.90% among ineligible households just south of the eligibility border (difference of 0.58 percentage points, 95% confidence interval 0.40 to 0.75; P<0.001). We found no difference in mortality rates for households above the poverty line (households above the poverty line were not eligible for the scheme), with a mortality rate from conditions covered by the scheme of 0.56% in eligible villages compared with 0.55% in ineligible villages (difference of 0.01 percentage points, -0.03 to 0.03; P=0.95). Eligible households had significantly reduced out-of-pocket health expenditures for admissions to hospitals with tertiary care facilities likely to be covered by the scheme (64% reduction, 35% to 97%; P<0.001). There was no significant increase in use of covered services, although the point estimate of a 44.2% increase approached significance (-5.1% to 90.5%; P=0.059). Both reductions in out-of-pocket expenditures and potential increases in use might have contributed to the observed reductions in mortality.

CONCLUSIONS

Insuring poor households for efficacious but costly and underused health services significantly improves population health in India.

Moving to universal coverage? Trends in the burden of out-of-pocket payments for health care across social groups in India, 1999-2000 to 2011-12

In the background of ongoing health sector reforms in India, the paper investigates the magnitude and trends in out-of-pocket and catastrophic payments for key population sub-groups. Data from three rounds of nationally representative consumer expenditure surveys (1999-2000, 2004-05 and 2011-12) were pooled to assess changes over time in a range of out-of-pocket -related outcome indicators for the poorest 20% households, scheduled caste and tribe households and Muslims households relative to their better-off/majority religion counterparts. Our results suggest that the poorest 20% of households experienced a decline in the proportion reporting any OOP for inpatient care relative to the top 20% and Muslim households saw an increase in the proportion reporting any inpatient OOP relative to non-Muslim households during 2000-2012. The change in the proportion of Muslim households or SC/ST households reporting any OOP for outpatient care was similar to that for their respective more advantaged counterparts; but the poorest 20% of households experienced a faster increase in the proportion reporting any OOP for outpatient care than their top 20% counterparts. SC/ST, Muslim and the poorest 20% of households experienced as faster increase in the share of outpatient OOP in total household spending relative to their advantaged counterparts. We conclude that the financial burden of out of pocket spending increased faster among the disadvantaged groups relative to their more advantaged counterparts. Although the poorest 20% saw a relative decline in OOP spending on inpatient care as a share of household spending, this is likely the result of foregoing inpatient care, than of accessing benefits from the recent expansion of cashless publicly financed insurance schemes for inpatient care. Our results highlight the need to explore the reasons underlying the lack of effectiveness of existing public health financing programs and public sector health services in reaching less-advantaged castes and religious minorities.