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

Can routine assessment of older people's mental health lead to improved outcomes: A regression discontinuity analysis

OBJECTIVE

To assess whether case finding for depression among people aged 65 and above improves mental health.

DESIGN

Opportunistic evaluation using a regression discontinuity analysis with data from a randomised controlled trial.

SETTING

The REFORM trial, a falls prevention study that recruited patients from NHS podiatry clinics.

PARTICIPANTS

1010 community-dwelling adults over the age of 65 with at least one risk factor for falling (recent previous fall or fear of falling).

INTERVENTION

Letter sent to patient's General Practitioner if they scored 10 points or above on the 15-item Geriatric Depression Scale (GDS-15) informing them of the patient's risk of depression.

MAIN OUTCOME MEASURE

GDS-15 score six months after initial completion of GDS-15.

RESULTS

895 (88.6%) of the 1010 participants randomised into REFORM had a valid baseline and six-month GDS-15 score and were included in this study. The mean GDS-15 baseline score was 3.5 (SD 3.0, median 3.0, range 0-15); 639 (71.4%) scored 0-4, 204 (22.8%) scored 5-9 indicating mild depression, and 52 (5.8%) scored 10 or higher indicating severe depression. At six months follow-up, those scoring 10 points or higher at baseline had, on average, a reduction of 1.08 points on the GDS-15 scale (95% confidence interval -1.83 to -0.33, p = 0.005) compared to those scoring less than 10, using the simplest linear regression model.

CONCLUSION

Case finding of depression in podiatry patients based on a GDS-15 score of 10 or more followed by a letter to their General Practitioner significantly reduced depression severity. Whether this applies to all older patients in primary care is unknown. Further research is required to confirm these findings. Regression discontinuity analyses could be prespecified and embedded within other existing research studies.

Efficiency effects of public hospital closures in the context of public hospital reform: a multistep efficiency analysis

In the wake of hospital reforms introduced in 2011 in Turkey, public hospitals were grouped into associations with joint management and some shared operational and administrative functions, similar in some ways to hospital trusts in the English National Health Service. Reorganization of public hospitals effect hospital and market area characteristics and existence of hospitals. The objective of this study is to examine the effect of closure on competitive hospital performances. Using administrative data from Turkish Public Hospital Statistical Yearbooks for the years 2005 to 2007 and 2014 to 2017, we conducted a three-step efficiency analysis by incorporating data envelopment analysis (DEA) and propensity score matching techniques, followed by a difference-in-differences (DiD) regression. First, we used bootstrapped DEA to calculate the efficiency scores of hospitals that were located near hospitals that had been closed. Second, we used nearest neighbour propensity score matching to form control groups and ensure that any differences between these and the intervention groups could be attributed to being near a hospital that had closed rather than differences in hospital and market area characteristics. Lastly, we employed DiD regression analysis to explore whether being near a closed hospital had an impact on the efficiency of the surviving hospitals while considering the effect of the 2011 hospital reform policies. To shed light on a potential time lag between hospital closure and changes in efficiency, we used various periods for comparison. Our results suggest that the efficiency of public hospitals in Turkey increased in hospitals that were located near hospitals that closed in Turkey from 2011. Hospital closure improves the efficiency of competitive hospitals under hospital market reforms. Future studies may wish to examine the efficiency effects of government and private sector collaboration on competition in the hospital market.

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.

Barriers in quest for cancer care access in two states of northeast India

BACKGROUND

The cancer burden in northeast India is high, with low survival and low case detection. Despite the availability of cancer institutes in the region, existing literature remarks on the increasing travel outside the region for cancer care. However, research is sparse on identifying impediment factors to the access of state cancer institutes.

OBJECTIVE

To examine the barriers to cancer care in five common cancer sites: oral, lungs, stomach, breast and cervix.

METHOD

Following a descriptive multiple-embedded case study design integrating quantitative and qualitative approaches, 388 participants were selected in phase one by stratified random sampling. In phase two, by purposive sampling, 21 semi-structured interviews were conducted.

RESULT

The result suggests that family decision is the central factor in cancer care access. Treatment initiation is delayed because the existing government health insurance scheme does not cover diagnostic tests. Adverse steps are taken to fund cancer treatment. Besides, opting for alternative medicines were due to fear of surgery, chemotherapy and recommendations by relatives. Arranging accommodation, transportation and infrastructure shortage was another hurdle. In contrast, the lack of awareness of the state cancer institutes was a barrier to its access.

CONCLUSION

This paper identifies and describes factors that hinder access to state cancer institutes. The findings could enhance policy interventions for efficient cancer care access in the region. Integration with NGOs working at the state level for cancer services would support ease of access by providing funds for diagnostic tests, accommodation and transportation, especially for those who cannot afford it.

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.

Out-of-pocket expenditure on childhood infections and its financial burden on Indian households: Evidence from nationally representative household survey (2017-18)

The key objective of this research was to estimate out of pocket expenditure (OOPE) incurred by the Indian households for the treatment of childhood infections. We estimated OOPE estimates on outpatient care and hospitalization by disease conditions and type of health facilities. In addition, we also estimated OOPE as a share of households' total consumption expenditure (TCE) by MPCE quintile groups to assess the quantum of the financial burden on the households. We analyzed the Social Consumption: Health (SCH) data from National Sample Survey Organization (NSSO) 75th round (2017-18). Outcome indicators were prevalence of selected infectious diseases in children aged less than 5 years, per episode of OOPE on outpatient care in the preceding 15 days, hospitalization in the preceding year and OOPE as a share of households' total consumption expenditure. Our analysis suggests that the most common childhood infection was 'fever with rash' followed by 'acute upper respiratory infection' and 'acute meningitis'. However, the highest OOPE for outpatient care and hospitalization was reported for 'viral hepatitis' and 'tuberculosis' episodes. Among the households reporting childhood infections, OOPE was 4.8% and 6.7% of households' total consumption expenditure (TCE) for outpatient care and hospitalization, respectively. Furthermore, OOPE as a share of TCE was disproportionately higher for the poorest MPCE quintiles (outpatient, 7.9%; hospitalization, 8.2%) in comparison to the richest MPCE quintiles (outpatient, 4.8%; hospitalization, 6.7%). This treatment and care-related OOPE has equity implications for Indian households as the poorest households bear a disproportionately higher burden of OOPE as a share of TCE. Ensuring financial risk protection and universal access to care for childhood illnesses is critical to addressing inequity in care.

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.

Endogenous health risks, poverty traps, and the roles of health insurance in poverty alleviation

BACKGROUND

Family education investment is a key factor in reducing intergenerational transmission of poverty. At the price of higher health risk, the poor may overdraw their bodies to earn more money to invest in education. This study investigates the effect of physical overdraft, health risks and health insurance on poverty and economic growth.

METHODS

This paper proposes an economic development model of endogenous health risks and poverty by setting up a physical overdraft decision. Furthermore, we introduce mutual health insurance mechanism to analyze its poverty alleviation effects.

RESULTS

First, this study shows that health risks weaken the economy and are among the leading causes of poverty. Second, mutual health insurance can alleviate, but not completely eliminate, the negative impact of health risks on the economy. Third, appropriate health insurance arrangements can lift some or even all poor households out of poverty.

CONCLUSION

Health risks have a significant effect on poverty. Furthermore, health insurance mechanisms have the advantages of transferring health risks, reducing poverty and improving health equity.

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.

How does Context Influence Implementation Mechanism of Publicly Funded Health Insurance Schemes in Indian States

Introduction:

The success of any insurance scheme is contingent upon well-defined processes related to payment, referral, grievances and quality control mechanisms. Any deviation observed may result in unsatisfactory performance. This study attempts to examine various processes related to the implementation of Pradhan Mantri Jan Arogya Yojana (PMJAY) and a state-specific insurance scheme across three states of India.

Objective:

To describe the policies and process adapted by selected states in implementing a government-sponsored health insurance scheme. To examine the strategies that work effectively, how they operate and what contextual factors enable or disable the desired implementation mechanisms.

Methodology:

The three states of Karnataka, Chhattisgarh, and Odisha were selected to understand various processes related to the implementation of Publicly Funded Health Insurance Schemes (PFHIS) schemes in diverse settings. A realist evaluation framework was used to study the contexts and mechanisms and how this influences outcomes.

Results:

The three schemes differ in implementation modes and follow different strategies owing to the local contexts. Some mechanisms worked well in specific contexts, whereas similar things have hindered the process in other contexts.

Conclusion:

The evidence generated is helpful to strengthen implementation processes under PMJAY and allows learning from each other to increase uptake of the scheme.

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

OBJECTIVE

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

DESIGN

Systematic review.

DATA SOURCES

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

ELIGIBILITY CRITERIA

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

DATA EXTRACTION AND SYNTHESIS

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

OUTCOMES

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

RESULTS

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

CONCLUSION

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

REGISTRATION

Not registered.

A Retrospective Study of Factors Affecting Pathway and Time to Diagnosis, Time to Treatment in Children with Cancer in a Single Center in South India

Introduction The overall cure rate of childhood cancers is above 79% in the developed world, whereas in the developing world, like in India, it is around 50%. It is vital to know the routes of presentation and factors affecting the presentation of childhood cancers in primary, secondary, and tertiary care to design a better survival strategy in childhood cancer.

Objective The aim of this study was to know the factors affecting the time to diagnosis and time to treatment in children with cancers in a single center in South India.

Materials and Methods It was a retrospective cohort study of children diagnosed with cancer between January 1, 2014 and December 31, 2016 at the pediatric oncology unit, KMC Hospital Mangalore, India. The patient interval, time to diagnosis, patient's family, economic background, parental education, and referral pattern were recorded, and its impact on the time taken to diagnosis was studied. The data was analyzed using SPSS 20.0 software.

Results Out of 111 children, 72 were boys (64.8%). Fifty-one (46%) children belonged to the less than 5-year age group. The most common cancer was acute lymphoblastic leukemia, diagnosed in 50% (56/111) children, followed by acute myeloid leukemia in 14/111(12.6%), brain tumors in 9 (8.1%), and neuroblastoma in 10 (9%) children. The median patient interval/patient delay was 14 days (1–90 days), referral interval was 14 days (1–150 days), and overall time to diagnosis was 41 days (1–194 days). The first contact was the pediatrician in 86/111 (77.4%). Sixty-four percent (71/111) referral came from a secondary care hospital, and the remaining from the outpatient clinics. There was no difference in sex and patient interval (p = 0.278) and overall time to diagnosis (p = 0.4169), age (p = 0.041), mother’s education (p = 0.034), and type of cancer (p = 0.013) were three critical factors that determined the time to diagnosis.

Conclusion Majority of the children diagnosed with cancer presented via referral from pediatricians. An equal number of them were referred to as routine and emergency patients. Age, mother's education, and type of cancers were the crucial factors associated with the overall time taken to diagnosis.

Making Health Insurance Pro-poor: Lessons from 20 Developing Countries

The last 20 years have seen a substantial growth in research on the extent to which health sector reforms are pro-poor or pro-rich. What has been missing is knowledge synthesis work to derive operational lessons from the empirical research. This article fills the gap for the most popular form of health financing reform, health insurance. Based on publications covering 20 developing countries, we find that health insurance is no panacea for improving equity in the health sector. More importantly, we find certain design elements of health insurance can increase the likelihood of tackling inequality in the health sector in developing countries.

Coverage and correlates of health insurance in the north-eastern states of India

Purpose

The paper aims to analyze the coverage of health insurance and its correlates in the north-eastern region of India.

Design/methodology/approach

The study accessed the raw data of the National Family Health Survey (NFHS-4) (2015–16), which was an extensive, multiround survey conducted in a representative sample of households throughout India, which included socioeconomic, demographic and information on coverage of health insurance of any member of the household. The multivariate analysis of logistic regression was adopted to find the correlates of health insurance for all the eight (8) north-eastern states of India.

Findings

The results observed that among the north-eastern states, the coverage of health insurance was highest in Arunachal Pradesh (59%) followed by Tripura (58%), Mizoram (47%) surpassing the all India level of 27%, whereas the lowest was in Manipur (4%) followed by Nagaland (6%) and Assam (10%). The multivariate analysis of logistic regression found that the socioeconomic and demographic factors, households with a bank account and below poverty line (BPL) cardholders played a significant role in the coverage of health insurance in the north-eastern states of India.

Research limitations/implications

The study focuses only on the coverage and correlates of health insurance. Further evaluation studies on each scheme of the social health insurance are needed for proper assessment of the health insurance schemes in the region.

Practical implications

There has been evidence around the world (South Korea, Taiwan and Thailand) that health insurance could be a protective shield from the entrapment into poverty due to high health expenditure. The NFHS-4 put up the finding that in the north-eastern part of India, the coverage of health insurance had been low. This implied that the region could fall into poverty due to high medical expenses on health. Taking account of multiple health insurance providers, risk pooling and consolidation of health insurance providers have become the need of the hour.

Originality/value

The study is different from other studies of health insurance since it covered all the eight (8) north-eastern states of India, which are ethnically, culturally and historically distinct from the rest of India in general and within the region and states in particular and examines the impact of each of the independent variables with the dependent variables. The study has shown that the variation in health insurance coverage associated with socioeconomic and other household-level demographic attributes (although not very strong).

Insured clients out-of-pocket payments for health care under the national health insurance scheme in Ghana

BACKGROUND

In 2003, Ghana implemented a National Health Insurance Scheme (NHIS) designed to promote universal health coverage and equitable access to health care. The scheme has largely been successful, yet it is confronted with many challenges threatening its sustainability. Out-of-pocket payments (OOP) by insured clients is one of such challenges of the scheme. This study sought to examine the types of services OOP charges are made for by insured clients and how much insured clients pay out-of-pocket.

METHODS

This was a descriptive cross-sectional health facility survey. A total of 2066 respondents were interviewed using structured questionnaires at the point of health care exit in the Ashanti, Northern and Central regions of Ghana. Health facilities of different levels were selected from 3 districts in each of the three regions. Data were collected between April and June 2018. Using Epidata and STATA Version 13.1 data analyses were done using multiple logistic regression and simple descriptive statistics and the results presented as proportions and means.

RESULTS

Of all the survey respondents 49.7% reported paying out-of-pocket for out-patient care while 46.9% of the insured clients paid out-of-pocket. Forty-two percent of the insured poorest quintile also paid out-of-pocket. Insured clients paid for consultation (75%) and drugs (63.2%) while 34.9% purchased drugs outside the health facility they visited. The unavailability of drugs (67.9%) and drugs not covered by the NHIS (20.8%) at the health facility led to out-of-pocket payments. On average, patients paid GHS33.00 (USD6.6) out-of-pocket. Compared to the Ashanti region, patients living in the Northern region were 74% less at odds to pay out-of-pocket for health care.

CONCLUSION AND RECOMMENDATION

Insured clients of Ghana's NHIS seeking health care in accredited health facilities make out-of-pocket payments for consultation and drugs that are covered by the scheme. The out-of-pocket payments are largely attributed to unavailability of drugs at the facilities while the consultation fees are charged to meet the administrative costs of services. These charges occur in disadvantaged regions and in all health facilities. The high reliance on out-of-pocket payments can impede Ghana's progress towards achieving Universal Health Coverage and the Sustainable Development Goal 3, seeking to end poverty and reduce inequalities. In order to build trust and confidence in the NHIS there is the need to eliminate out-of-pocket payments for consultation and medicines by insured clients.

Long-term exposure to indoor air pollution and risk of tuberculosis

Indoor air pollution (IAP) is a recognized risk factor for various diseases. This paper examines the role of indoor solid fuel exposure in the risk of mycobacterium tuberculosis (TB) in Delhi Metropolitan, India. Using a cross-sectional design, subjects were screened for a history of active TB and lifelong exposure to IAP sources, such as solid fuel burning and kerosene. The TB prevalence rate in the study area was 1117 per 100 000 population. Every year, increase in solid fuel exposure was associated with a three percent higher likelihood of a history of active TB. Subjects exposed to solid fuel and kerosene use for both heating home and cooking showed significant associations with TB. Age, household expenditure (a proxy of income), lung function, and smoking also showed significant associations with TB. Smokers and solid fuel-exposed subjects were four times more likely to have a history of active TB than non-smoker and unexposed subjects. These finding calls strategies to mitigate solid fuel exposure, such as use of clean cookstove and ventilation, to mitigate the risk of TB which aligns with the United Nations' goal of "End TB by 2030."

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

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

Resource limited centres can deliver treatment for children with acute lymphoblastic leukaemia with risk-stratified minimal residual disease based UKALL 2003 protocol with no modification and a good outcome

OBJECTIVES

Acute Lymphoblastic Leukemia (ALL) is the most common malignancy in children. With improved supportive care and a better understanding of the disease biology, it is now a curable cancer in the developed world. However, in low-income countries, the cure rate remains relatively poor. We report our experience on the survival of children with ALL treated on the MRD-based risk-stratified UKALL 2003 protocol, from a center in South India.

METHODS

All consecutive children diagnosed with ALL between years 2013 and 2019 were included in this retrospective study. All received uniform treatment as per the UKALL 2003 protocol based on NCI risk and post-induction MRD status. All the details including the type of leukemia, NCI risk status, date of diagnosis, treatment start date, the regimen, MRD status, cytogenetics, molecular genetics, and complications were captured. Analysis was done using prism GraphPad version 8.0.

RESULTS

A total of 107 children were started on treatment during this period. The majority of them were boys (68/107). Fifty-nine of them were NCI standard risk (55%). B-ALL was the most common type (92%).Total of 56/107(52.3%) children received treatment under the government's insurance scheme for low-income bracket. The post-induction MRD was performed in 95/107 children. It was >0.01% in 22% (21/95) of children. Five (4.7%) children relapsed so far with a mean follow up of 27 months from the diagnosis. There were 17 deaths (15.9%). The EFS at 3 years was 85% (95% CI 75% to 92%).

CONCLUSION

It is feasible to deliver chemotherapy as per the UKALL2003 protocol without any modifications in resource-limited setting. The survival rates have significantly improved over the years in our center from 5 years EFS of 60% in 2010 and now to 3 year EFS of 85%. It is important to note that there was no treatment abandonment in our cohort.

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.

Poverty and health-related quality of life: a cross-sectional study in rural China

BACKGROUND

The association between poverty and health has been widely assessed. However, whether the association between poverty and health-related quality of life (HRQOL) holds among different groups is unknown. This study aimed to 1) assess the association between poverty and HRQOL among rural residents in China and 2) examine whether the association holds among different populations, thereby supporting policy-making and implementation.

METHODS

A multistage, stratified, random household survey was conducted with self-administered questionnaires. Matched samples were generated by the censored exact matching method to reduce selection bias between the poverty and comparison groups. We applied Tobit and ordinal logit regression models to evaluate the association between poverty and HRQOL measured by the EQ-5D-3 L among different groups.

RESULTS

The health utility score of the poverty group was 6.1% lower than that of comparison group (95% CI = - 0.085, - 0.037), with anxiety/depression being most common (95% CI = 1.220, 1.791). The association between poverty and HRQOL was significantly stronger among residents from central China, males, people who were middle-aged, elderly, highly educated, married, or widowed, those living far from healthcare facilities, and those without chronic disease. Male and highly educated subjects reported worse mobility, self-care, usual activities, pain/discomfort and anxiety/depression dimensions than the other respondents. Middle-aged (95% CI = 1.692, 2.851) and married respondents (95% CI = 1.692, 2.509) and respondents with chronic diseases (95% CI = 1.770, 2.849) were most affected in the anxiety/depression.

CONCLUSIONS

The HRQOL of individuals living in poverty is lower than that of the general population, and the mental health dimension is most affected by poverty among respondents who are middle-aged or married and respondents with chronic diseases. The identification of populations that are more affected by poverty is critical to improve their HRQOL. Various associations have indicated the need for integrated policies and specific decision-making.

The Effect of Influenza Vaccination for the Elderly on Hospitalization and Mortality: An Observational Study With a Regression Discontinuity Design

BACKGROUND

Observational studies using traditional research designs suggest that influenza vaccination reduces hospitalizations and mortality among elderly persons. Accordingly, health authorities in some countries prioritize vaccination of this population. Nevertheless, questions remain about this policy's effectiveness given the potential for bias and confounding in observational data.

OBJECTIVE

To determine the effectiveness of the influenza vaccine in reducing hospitalizations and mortality among elderly persons by using an observational research design that reduces the possibility of bias and confounding.

DESIGN

A regression discontinuity design was applied to the sharp change in vaccination rate at age 65 years that resulted from an age-based vaccination policy in the United Kingdom. In this design, comparisons were limited to individuals who were near the age-65 threshold and were thus plausibly similar along most dimensions except vaccination rate.

SETTING

England and Wales.

PARTICIPANTS

Adults aged 55 to 75 years residing in the study area during 2000 to 2014.

INTERVENTION

Seasonal influenza vaccine.

MEASUREMENTS

Hospitalization and mortality rates by month of age.

RESULTS

The data included 170 million episodes of care and 7.6 million deaths. Turning 65 was associated with a statistically and clinically significant increase in rate of seasonal influenza vaccination. However, no evidence indicated that vaccination reduced hospitalizations or mortality among elderly persons. The estimates were precise enough to rule out results from many previous studies.

LIMITATION

The study relied on observational data, and its focus was limited to individuals near age 65 years.

CONCLUSION

Current vaccination strategies prioritizing elderly persons may be less effective than believed at reducing serious morbidity and mortality in this population, which suggests that supplementary strategies may be necessary.

PRIMARY FUNDING SOURCE

National Institute on Aging.

How Cancer Supportive and Palliative Care is Developed: Comparing the Policy-Making Process in Three Countries from Three Continents

Background:

Supportive and palliative care worldwide is recognized as one of the six main cancer control bases and plays an important role in managing the complications of cancer. Limited studies have been published in the field of this policy analysis in the world.

Aim:

This study aimed to analysis the policy-making process of supportive and palliative cancer care in three countries.

Methodology:

This qualitative study is a part of a comparative study. The data were collected through reviewing scientific and administrative documents, the World Health Organization website and reports, government websites, and other authoritative websites. Searches were done through texts in English and valid databases, in the period between 2000 and 2018. To investigate the policy process, heuristic stages model is implemented consisting of the four stages: agenda setting, policy formulation, policy implementation, and policy evaluation.

Results:

The findings of the study were categorized based on the conceptual model used in four areas related to the policy process, including agenda setting, policy formulation, policy implementation, and evaluation of cancer palliative care policies.

Conclusion:

Several factors are involved in how cancer palliative care policy is included in policy-makers' agenda, understanding a necessity, raising public awareness, and acceptance as a result of sensing the physical and nonphysical care outcomes. The stages of development, implementation, and evaluation of palliative care in countries regardless of existing differences are a function of the health system and context of each country.

Expanding healthcare coverage: An experience from Rashtriya Swasthya Bima Yojna

Background & objectives:

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

Methods:

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

Results:

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

Interpretation & conclusions:

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

The costs of seeking healthcare: Illness, treatment seeking and out of pocket expenditures among the urban poor in Delhi, India

The poor often experience illness and the treatment costs are high and even catastrophic for the poor. This paper reports the extent of illness, treatment-seeking behaviour and out of pocket healthcare expenditures and the determinants of treatment-seeking behaviour and healthcare expenditures among the urban poor living in Delhi. A total of 2,998 households participated in the study. Socio-demographic details, illness experiences (episodic illness in the past 3 months, hospitalisation in the past 1 year and any chronic illness), treatment seeking and healthcare expenditures were collected for all household members through a pretested, interviewer-administered questionnaire. Logistic regressions were carried out for factors associated with treatment-seeking choices. Multiple linear regressions were carried for factors associated with out of pocket expenditures (OOPE). Of the total 15,218 household members (of the 2,998 households), 4,052 (26.6%) experienced episodic illness (mainly fever, respiratory illnesses, food- and waterborne diseases and eye infections) in the past 3 months, 230 (1.5%) were hospitalised and 976 (6.4%) have chronic illness (mainly hypertension, diabetes, arthritis and respiratory problems). Of the 2,998 households, 2,225 (74.2%) households reported at least one event of illness. Unqualified practitioners were the main source of care for episodic illnesses. Perceived seriousness of the illness, having Employees State Insurance Scheme (ESIS) benefit, higher educational status of the head of the household, higher monthly household incomes, belonging other backward castes and settled-migrant status led to seeking formal care. Dengue was the main reason for hospitalisation. Government including ESIS hospitals were mainly utilised for hospitalisation. Healthcare expenditures were higher for private healthcare. Possession of mandatory health insurance was protective against OOPEs. OOPEs were more for the men/boys and for the young. Improving access to government healthcare services is important. Extending the ESIS to the unorganised workers including urban poor migrants should be considered so as to bring them under mandatory social protection.

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.

Health insurance and mental illness

One of the important provisions of the Mental Healthcare Act, 2017, in section 21 (4), is the inclusion of "mental illnesses" for health insurance coverage. This is a progressive step toward considering mental illness at par with physical illness, which will, in turn, ensure better access to mental health care. In this context, the article summarizes the concept of "health insurance" and then goes on to talk about various provisions for persons with mental illnesses in India. We also discuss some of the relevant concerns that may arise in this context. Whereas insurance for mental illness is a welcome step toward achieving universal health coverage, there is a need to deliberate on various issues before we can achieve that.

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.

The impact of user charges on health outcomes in low-income and middle-income countries: a systematic review

BACKGROUND

User charges are widely used health financing mechanisms in many health systems in low-income and middle-income countries (LMICs) due to insufficient public health spending on health. This study systematically reviews the evidence on the relationship between user charges and health outcomes in LMICs, and explores underlying mechanisms of this relationship.

METHODS

Published studies were identified via electronic medical, public health, health services and economics databases from 1990 to September 2017. We included studies that evaluated the impact of user charges on health in LMICs using randomised control trial (RCT) or quasi-experimental (QE) study designs. Study quality was assessed using Cochrane Risk of Bias and Risk of Bias in Non-Randomized Studies-of Intervention for RCT and QE studies, respectively.

RESULTS

We identified 17 studies from 12 countries (five upper-middle income countries, five lower-middle income countries and two low-income countries) that met our selection criteria. The findings suggested a modest relationship between reduction in user charges and improvements in health outcomes, but this depended on health outcomes measured, the populations studied, study quality and policy settings. The relationship between reduced user charges and improved health outcomes was more evident in studies focusing on children and lower-income populations. Studies examining infectious disease-related outcomes, chronic disease management and nutritional outcomes were too few to draw meaningful conclusions. Improved access to healthcare as a result of reduction in out-of-pocket expenditure was identified as the possible causal pathway for improved health.

CONCLUSIONS

Reduced user charges were associated with improved health outcomes, particularly for lower-income groups and children in LMICs. Accelerating progress towards universal health coverage through prepayment mechanisms such as taxation and insurance can lead to improved health outcomes and reduced health inequalities in LMICs.

TRIAL REGISTRATION NUMBER

CRD 42017054737.

The burden of cancers and their variations across the states of India: the Global Burden of Disease Study 1990-2016

Background

Previous efforts to report estimates of cancer incidence and mortality in India and its different parts include the National Cancer Registry Programme Reports, Sample Registration System cause of death findings, Cancer Incidence in Five Continents Series, and GLOBOCAN. We present a comprehensive picture of the patterns and time trends of the burden of total cancer and specific cancer types in each state of India estimated as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 because such a systematic compilation is not readily available.

Methods

We used all accessible data from multiple sources, including 42 population-based cancer registries and the nationwide Sample Registration System of India, to estimate the incidence of 28 types of cancer in every state of India from 1990 to 2016 and the deaths and disability-adjusted life-years (DALYs) caused by them, as part of GBD 2016. We present incidence, DALYs, and death rates for all cancers together, and the trends of all types of cancers, highlighting the heterogeneity in the burden of specific types of cancers across the states of India. We also present the contribution of major risk factors to cancer DALYs in India.

Findings

8·3% (95% uncertainty interval [UI] 7·9–8·6) of the total deaths and 5·0% (4·6–5·5) of the total DALYs in India in 2016 were due to cancer, which was double the contribution of cancer in 1990. However, the age-standardised incidence rate of cancer did not change substantially during this period. The age-standardised cancer DALY rate had a 2·6 times variation across the states of India in 2016. The ten cancers responsible for the highest proportion of cancer DALYs in India in 2016 were stomach (9·0% of the total cancer DALYs), breast (8·2%), lung (7·5%), lip and oral cavity (7·2%), pharynx other than nasopharynx (6·8%), colon and rectum (5·8%), leukaemia (5·2%), cervical (5·2%), oesophageal (4·3%), and brain and nervous system (3·5%) cancer. Among these cancers, the age-standardised incidence rate of breast cancer increased significantly by 40·7% (95% UI 7·0–85·6) from 1990 to 2016, whereas it decreased for stomach (39·7%; 34·3–44·0), lip and oral cavity (6·4%; 0·4–18·6), cervical (39·7%; 26·5–57·3), and oesophageal cancer (31·2%; 27·9–34·9), and leukaemia (16·1%; 4·3–24·2). We found substantial inter-state heterogeneity in the age-standardised incidence rate of the different types of cancers in 2016, with a 3·3 times to 11·6 times variation for the four most frequent cancers (lip and oral, breast, lung, and stomach). Tobacco use was the leading risk factor for cancers in India to which the highest proportion (10·9%) of cancer DALYs could be attributed in 2016.

Interpretation

The substantial heterogeneity in the state-level incidence rate and health loss trends of the different types of cancer in India over this 26-year period should be taken into account to strengthen infrastructure and human resources for cancer prevention and control at both the national and state levels. These efforts should focus on the ten cancers contributing the highest DALYs in India, including cancers of the stomach, lung, pharynx other than nasopharynx, colon and rectum, leukaemia, oesophageal, and brain and nervous system, in addition to breast, lip and oral cavity, and cervical cancer, which are currently the focus of screening and early detection programmes.

Funding

Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

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.

India's Largest Hospital Insurance Program Faces Challenges In Using Claims Data To Measure Quality

The routine data generated by India’s universal coverage programs offer an important opportunity to evaluate and track the quality of health care systematically and on a large scale. We examined the potential and challenges of measuring the quality of hospital care through claims data from India’s hospital insurance program for the poor, Rashtriya Swasthya Bima Yojana (RSBY). Using data from one district in India, we illustrate how these data already provide useful insights and show that simple efforts to enhance data quality and an effort to expand the data captured could facilitate RSBY’s ability to track quality of care. The data collected by RSBY has significant potential to characterize and uncover the provision of low-quality care and help inform much-needed efforts to raise the quality of hospital care.

Social health insurance for the poor: lessons from a health insurance programme in Karnataka, India

Life-saving technology used to treat catastrophic illnesses such as heart disease and cancer is often out of reach for the poor. As life expectancy increases in poor countries and the burden from chronic illnesses continues to rise, so will the unmet need for expensive tertiary care. Understanding how best to increase access to and reduce the financial burden of expensive tertiary care is a crucial task for the global health community in the coming decades. In 2010, Karnataka, a state in India, rolled out the Vajpayee Arogyashree scheme (VAS), a social health insurance scheme focused on increasing access to tertiary care for households below the poverty line. VAS was rolled out in a way that allowed for robust evaluation of its causal effects and several studies have examined various impacts of the scheme on poor households. In this analysis article, we summarise the key findings and assess how these findings can be used to inform other social health insurance schemes. First, the evidence suggests that VAS led to a substantial reduction in mortality driven by increased tertiary care utilisation as well as use of better quality facilities and earlier diagnosis. Second, VAS significantly reduced the financial burden of receiving tertiary care. Third, these benefits of social health insurance were achieved at a reasonable cost to society and taxpayers. Several unique features of VAS led to its success at improving health and financial well-being including effective outreach via health camps, targeting expensive conditions with high disease burden, easy enrolment process, cashless treatment, bundled payment for hospital services, participation of both public and private hospitals and prior authorisation to improve appropriateness of care.

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

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

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

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

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

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

Treatment eligibility and retention in clinical HIV care: A regression discontinuity study in South Africa

BACKGROUND

Loss to follow-up is high among HIV patients not yet receiving antiretroviral therapy (ART). Clinical trials have demonstrated the clinical efficacy of early ART; however, these trials may miss an important real-world consequence of providing ART at diagnosis: its impact on retention in care.

METHODS AND FINDINGS

We examined the effect of immediate (versus deferred) ART on retention in care using a regression discontinuity design. The analysis included all patients (N = 11,306) entering clinical HIV care with a first CD4 count between 12 August 2011 and 31 December 2012 in a public-sector HIV care and treatment program in rural South Africa. Patients were assigned to immediate versus deferred ART eligibility, as determined by a CD4 count < 350 cells/μl, per South African national guidelines. Patients referred to pre-ART care were instructed to return every 6 months for CD4 monitoring. Patients initiated on ART were instructed to return at 6 and 12 months post-initiation and annually thereafter for CD4 and viral load monitoring. We assessed retention in HIV care at 12 months, as measured by the presence of a clinic visit, lab test, or ART initiation 6 to 18 months after initial CD4 test. Differences in retention between patients presenting with CD4 counts just above versus just below the 350-cells/μl threshold were estimated using local linear regression models with a data-driven bandwidth and with the algorithm for selecting the bandwidth chosen ex ante. Among patients with CD4 counts close to the 350-cells/μl threshold, having an ART-eligible CD4 count (<350 cells/μl) was associated with higher 12-month retention than not having an ART-eligible CD4 count (50% versus 32%), an intention-to-treat risk difference of 18 percentage points (95% CI 11 to 23; p < 0.001). The decision to start ART was determined by CD4 count for one in four patients (25%) presenting close to the eligibility threshold (95% CI 20% to 31%; p < 0.001). In this subpopulation, having an ART-eligible CD4 count was associated with higher 12-month retention than not having an ART-eligible CD4 count (91% versus 21%), a complier causal risk difference of 70 percentage points (95% CI 42 to 98; p < 0.001). The major limitations of the study are the potential for limited generalizability, the potential for outcome misclassification, and the absence of data on longer-term health outcomes.

CONCLUSIONS

Patients who were eligible for immediate ART had dramatically higher retention in HIV care than patients who just missed the CD4-count eligibility cutoff. The clinical and population health benefits of offering immediate ART regardless of CD4 count may be larger than suggested by clinical trials.

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

Background

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

Aims

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

Methods

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

Results

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

Conclusion

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

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.

Evidence for underuse of effective medical services around the world

Underuse-the failure to use effective and affordable medical interventions-is common and responsible for substantial suffering, disability, and loss of life worldwide. Underuse occurs at every point along the treatment continuum, from populations lacking access to health care to inadequate supply of medical resources and labour, slow or partial uptake of innovations, and patients not accessing or declining them. The extent of underuse for different interventions varies by country, and is documented in countries of high, middle, and low-income, and across different types of health-care systems, payment models, and health services. Most research into underuse has focused on measuring solutions to the problem, with considerably less attention paid to its global prevalence or its consequences for patients and populations. Although focused effort and resources can overcome specific underuse problems, comparatively little is spent on work to better understand and overcome the barriers to improved uptake of effective interventions, and methods to make them affordable.

Social Security Measures for Elderly Population in Delhi, India: Awareness, Utilization and Barriers

INTRODUCTION

World population of elderly is increasing at a fast pace. The number of elderly in India has increased by 54.77% in the last 15 years. A number of social security measures have been taken by Indian government.

AIM

To assess awareness, utilization and barriers faced while utilizing social security schemes by elderly in a secondary care hospital situated in a rural area in Delhi, India.

MATERIALS AND METHODS

A cross-sectional study was conducted among 360 individuals aged 60 years and above in a secondary care hospital situated in a rural area in Delhi. A pre-tested, semi-structured schedule prepared in local language was used. Data was analysed using SPSS software (version 17.0). Chi-square test was used to observe any statistical association between categorical variables. The results were considered statistically significant if p-value was less than 0.05.

RESULTS

A majority of study subjects were females (54.2%), Hindu (89.7%), married (60.3%) and were not engaged in any occupation (82.8%). Awareness about Indira Gandhi National Old Age Pension Scheme (IGNOAPS) was present among 286 (79.4%) and Annapurna scheme in 193 (53.6%) subjects. Among 223 subjects who were below poverty line, 179 (80.3%) were aware of IGNOAPS; while, 112 (50.2%) were utilizing the scheme. There was no association of awareness with education status, occupation, religion, family type, marital status and caste (p>0.05). Corruption and tedious administrative formalities were major barriers reported.

CONCLUSION

Awareness generation, provision of information on how to approach the concerned authority for utilizing the scheme and ease of administrative procedures should be an integral part of any social security scheme or measure. In the present study, about 79.4% of elderly were aware and 45% of the eligible subjects were utilizing pension scheme. Major barriers reported in utilization of schemes were corruption and tedious administrative procedures.

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.