Do poor people in the poorer states pay more for healthcare in India?

Reproductive and child health transition among selected empowered action groups states of India: A district-level analysis

BACKGROUND

Health is an inseparable part of life and central to all life supporting systems. The reproductive and child health shares a major portion of public health cases that is crucial for socio-economic development. Studies on reproductive and child health have traditionally been focused on demographic aspects using socio-economic parameters. Given the emphasis of Sustainable Development Goal (SDG)-3 on health and well-being, it is imperative to understand the geo-spatial dimension with the visible transition of key health indicators of fertility, maternal and infant/child health in the high burdened districts within these high focus Empowered Action Group (EAG) states of Rajasthan, Madhya Pradesh, Uttar Pradesh and Bihar that make up nearly 40% of India's population with relatively laggard health status.

METHODOLOGY

This paper aims to understand the status and trend of key reproductive and child health indicators and vital statistics based on the recent representative demographic surveys. We intend to undertake a district level spatio-temporal analysis by developing District Composite Health Profile (DCHP) using Composite Index Method on selected 13 equally weighted key reproductive and child health indicators. The study has been carried out using data from National Family Health Survey-4 (2015-16) and National Family Health Survey-5 (2019-21) survey rounds. We employed geo-spatial techniques i.e. Moran's-I, and univariate LISA to comprehend the geographical clustering of high and low health burden districts and their heterogeneities at the district level.

RESULTS/CONCLUSIONS

The study highlights emerging inter-districts, and inter-state disparities over survey periods. With consistent improvement in the selected EAG states over time, the overall reproductive and child health status through DCHP along with each indicator was relatively better in the states of Rajasthan and worse in Bihar. Districts along the Terai belt in Uttar Pradesh and Bihar consistently performed sluggish during survey rounds. The geo-spatial clustering follows the political boundary of states, albeit with intra-state variations. Monitoring of key health indicators using composite index method provides a useful leverage for identifying priority districts/regions for universal health access that should also consider geographical space as an important policy dimension.

Centre-level variation in the survival of patients receiving haemodialysis in India: findings from a nationwide private haemodialysis network

Background

There are no large studies examining survival in patients receiving haemodialysis in India or considering centre-level effects on survival. We measured survival variation between dialysis centres across India and evaluated the extent to which differences are explained by measured centre characteristics.

Methods

This is a multilevel analysis of patient survival in centres of the NephroPlus dialysis network consisting of 193 centres across India. Patients receiving haemodialysis at a centre for ≥90 days between April 2014 and June 2019 were included, with analyses restricted to centres with ≥10 such patients. The primary outcome was all-cause mortality, measured from 90 days after joining a centre. Proportional hazards models with shared frailty were used to model centre- and patient-level effects on survival.

Findings

Amongst 23,601 patients (median age 53 years; 29% female), the unadjusted centre-specific 180-day Kaplan-Meier survival estimates ranged between 55% (95% confidence interval [CI] 38-80%) and 100%, with a median of 88% (interquartile interval 83%-92%). After accounting for multilevel factors, estimated 180-day survival ranged between 83% (73-89%) and 97% (95-98%), with 90% 180-day survival in the average centre. The mortality rate in patients attending rural centres was 32% (Hazard Ratio 1.32; 95% CI 1.06-1.65) higher than those at urban centres in adjusted analyses. Multiple patient characteristics were associated with mortality.

Interpretation

This is the first national benchmark for survival amongst dialysis patients in India. Centre- and patient-level characteristics are associated with survival but there remains unexplained variation between centres. As India continues to widen dialysis access, ongoing quality improvement programs will be an important part of ensuring that patients experience the best possible outcomes at the point of care.

Funding

This project received no external funding.

Cancer care and economic burden-A narrative review

Cancer care poses a significant economic burden in India, where noncommunicable diseases contribute to a large number of deaths and disability-adjusted life-years. Despite economic growth, equitable wealth distribution remains a challenge, leading to inequalities in healthcare access. India's healthcare system is primarily privatized, financed through out-of-pocket expenditure (OOPE), and lacks coverage for a majority of the population. As a result, individuals without financial means face catastrophic health consequences when seeking necessary healthcare. OOPE in India's healthcare system is a major concern, with medicines accounting for a significant portion of expenses, followed by diagnostic tests and consultation fees. Nonmedical expenses also contribute to the financial burden. Cancer care specifically faces substantial financial challenges, with high treatment costs, reduced workforce participation, and the need for distress financing. Cancer-related OOPE is predominantly borne by patients and their families, leading to significant financial strain. The lack of comprehensive health insurance coverage and limited access to publicly funded healthcare services exacerbate the problem. Catastrophic health expenditure (CHE) in cancer care is prevalent, pushing households into financial distress and potentially impoverishment. Efforts have been made to address this issue, such as increasing public spending on healthcare and implementing health insurance schemes. However, challenges remain in ensuring their effectiveness and reach. The role of family care physicians is crucial in supporting patients and their families during catastrophic health expenditures related to cancer-related palliative care. They coordinate care, provide advocacy, emotional support, symptom management, and facilitate end-of-life discussions. Comprehensive measures are needed to strengthen healthcare infrastructure, improve access to affordable cancer care, enhance health insurance coverage, and implement supportive measures for cancer patients. Additionally, promoting preventive measures and early detection can help reduce the need for expensive treatments and decrease the risk of catastrophic health expenditures.

How social norms and values shape household healthcare expenditures and resource allocation: Insights from India

We present a novel perspective on thinking about and studying healthcare spending in contexts where few health-related financial risk protection mechanisms exist and where out-of-pocket spending by households is the norm. Drawing on interviews conducted across 20 villages in two states of India, we illustrate and problematize how a complex interplay of social norms and cultural factors underpin spending decisions within households in such contexts. While our analysis draws on the fieldwork at large, we present our findings through selected narratives - stories of patients suffering from chronic breathlessness. We engage with and reveal the various ways in which social norms dynamically drive this household economy, and shape resource allocation-related decisions. We conclude that in health system contexts where out-of-pocket spending by households is the norm, it is essential to recognise the pragmatic and calculative nature of intra-household allocation of resources, and how it involves bargaining and negotiations at the intersection of social norms, economic class, caste, gender, age, and productive status. And at the same time, how all of this occurs within the economy of the family, and how it plays out differently for different members of a family is also important to recognise. Such recognition can not only help one better appreciate how this household level economy may sometimes maintain and perpetuate entrenched hierarchies and gender inequities, crucially, it can help target health related social protection policies and strategies and make them more responsive to the needs of the most vulnerable in the society and within households.

In search of a fix to the primary health care chasm in India: can institutionalizing a public health cadre and inducting family physicians be the answer?

India's woes with an underprioritized and hence underfunded and understaffed public health system continue to plague public healthcare delivery. Though the need for appropriately qualified public health cadre to lead public health programmes is well established, a well-meaning conducive approach to implementing this is lacking. As the COVID-19 pandemic brought back the focus on India's fragmented health system and primary healthcare deficiencies, we discuss the primary healthcare conundrum in India in search of a quintessential fix. We argue for instituting a well-thought and inclusive public health cadre to lead preventive and promotive public health programmes and manage public health delivery. With the aim being to increase community confidence in primary health care, along with the need to augment primary healthcare infrastructure, we argue for a need to augment primary healthcare with physicians trained in family medicine. Provisioning medical officers and general practitioners trained in family medicine can salvage community's confidence in primary care, increase primary healthcare utilization, stymie over-specialization of care, channelize and prioritize referrals, and guarantee competence in healthcare quality for rural communities.

Harnessing Bourdieu's social theory to understand the deteriorating doctor-patient-nurse relationship in West Bengal government hospitals

Communication patterns between doctors, nurses and patients determine both the efficiency of healthcare delivery, and the job satisfaction of healthcare workers. Job satisfaction is important to ensure retention of the doctor and nurse populations. Incidents of assault against physicians and nurses from relatives and family members of patients have become frequent both in the pre-pandemic and COVID-19 eras. Along with appreciation for frontline healthcare workers serving during the pandemic, there is physical violence directed at them for failing to salvage infected patients. Using Bourdieu's concepts of social space, forms of capital, and habitus this paper endeavors to theorize some of the interaction patterns observed in doctor-patient, nurse-patient, and doctor-nurse encounters that contribute to the waning of the relationship between healthcare workers and wider society as observed in West Bengal, India. Primary empirical data was collected through in-person, in-depth semi-structured interviews with both open and closed-ended questions conducted throughout 2018 across 5 government hospitals in Kolkata (major metropolitan center) and 1 hospital in a suburban area with population 100,000. The respondents consisted of 51 nurses (100% women), 20 doctors (5% women), and 33 patients (33.3% women) recruited using purposive and snowball sampling. Social space analysis indicated that the cumulative patient social capital is comparable to that of the doctors, despite the doctor's higher levels of cultural and economic capital because of the high patient to doctor ratio. The patient population can thus concentrate and delegate their social capital to select agents leading to violence against healthcare workers. Through this analysis, two doctors' habitus were postulated, along with a nurse and a patient habitus. The first doctor habitus is structured by the idealized status of doctors and the second habitus is structured by their resource-limited working conditions. The nurse habitus is structured by the desire for economic empowerment along with dutifully providing care as instructed. The patient habitus is structured by the need to balance healthcare expenditures with their limited financial means. This paper establishes how the habitus of the agents and the politics of healthcare interact to exacerbate extant tensions between healthcare workers and the population they care for.

Nonfatal drowning-related hospitalizations and associated healthcare expenditure in India: An analysis of nationally representative survey data

BACKGROUND

Drowning is a global public health challenge, with significant burden in low- and middle-income countries. There are few studies exploring nonfatal drowning, including the economic and social impacts. This study aimed to quantify unintentional drowning-related hospitalization in India and associated healthcare expenditure.

METHOD

Unit level data on unintentional drowning-related hospitalization were obtained from the 75th rounds of the National Sample Survey of Indian households conducted in 2018. The outcome variables were indices of health care cost such as out of pocket expenditure (OOPE), health care burden (HCB), catastrophic health expenditure (CHE), impoverishment, and hardship financing. Descriptive statistics and multivariate analysis were conducted after adjusting for inflation using the pharmaceutical price index for December 2020. The association of socio-demographic characteristics with the outcome variable was reported as relative risk with 95% CI and expenditure reported in Indian Rupees (INR) and United States dollars (USD).

RESULTS

174 respondents reported drowning-related hospitalization (a crude rate of 15.91-31.34 hospitalizations per 100,000 population). Proportionately, more males (63.4%), persons aged 21-50 years (44.9%) and rural dwelling respondents (69.9%) were hospitalized. Drowning-related hospitalization costs on average INR25,421 ($345.11USD) per person per drowning incident. Costs were higher among older respondents, females, urban respondents, and longer lengths of hospital stays. About 14.4% of respondents reported hardship financing as a result of treatment costs and 9.0% of households reported pushed below the poverty line when reporting drowning-related hospitalization.

CONCLUSIONS

Drowning can be an economically catastrophic injury, especially for those already impacted by poverty. Drowning is a significant public health problem in India. Investment in drowning prevention program will reduce hospitalization and economic burden.

PRACTICAL APPLICATIONS

This study provides support for investment in drowning prevention in India, including a need to ensure drowning prevention interventions address the determinants of health across the lifespan.

Examining the rural-urban divide in predisposing, enabling, and need factors of unsafe abortion in India using Andersen's behavioral model

BACKGROUND

The prevalence of unsafe abortions significantly varies with geography; therefore, more research is needed to understand the rural-urban differences in unsafe abortion practices in India. The present study aims to explore the rural-urban differences in predisposing, enabling, and need factors of unsafe abortion in India.

METHODS

The present study used the fourth round of the National Family Health Survey (2015-16) and included the women aged 15-49 who terminated pregnancies by induced abortion during the 5 years prior to the survey (N = 9113) as the study sample. Descriptive statistics, bivariate chi-square significance test and multivariate logistic regression model were used to accomplish the study objectives.

RESULTS

The findings revealed that almost one-third of pregnancies were terminated through unsafe measures with sharp rural-urban contrast. The likelihood of unsafe abortions increases with decreasing women's age and spousal level of education. Younger women in urban settings were more vulnerable to unsafe abortion practices. In rural settings, women with an uneducated spouse are more likely to have unsafe abortions (OR: 1.92). Poor households were more likely to undergo unsafe abortions, which were more common in rural settings (OR: 1.26). The unmet need for family planning was revealed to be a significant need factor for unsafe abortion, particularly in rural settings.

CONCLUSION

Although abortion is legal, India's high estimated frequency of unsafe abortions reveals a serious public health issue. Due to socio-economic vulnerability, unmet family planning needs, and a lack of awareness, significant numbers of women still practice unsafe abortions in India.

Components of Out-of-Pocket Expenditure and Their Relative Contribution to Economic Burden of Diseases in India

Importance

High out-of-pocket expenditure (OOPE) on health in India may limit achieving universal health coverage. A clear insight on the components of health expenditure may be necessary to make allocative decisions to reduce OOPE, and such details by sociodemographic group and state have not been studied in India.

Objective

To analyze the relative contribution of drugs, diagnostic tests, doctor and surgeon fees, and expenditure on other medical services and nonmedical health-related services, such as transport, lodging, and food, by sociodemographic characteristics of patients, geography, and type of illness.

Design, Setting, and Participants

A population-based cross-sectional health consumption survey conducted by the National Sample Survey Organisation in 2018 was analyzed in this cross-sectional study. Respondents who provided complete information on costs of medicine, doctors, diagnostics tests, other medical costs, and nonmedical costs were selected. Data were analyzed from August through September 2021.

Main Outcomes and Measures

Mean and median share of components (ie, medicine, diagnostic tests, doctor fees, other medical costs, and nonmedical costs) in total health care expenditure and income were calculated. Bivariate survey-weighted mean (with 95% CI) and median (IQR) expenditures were calculated for each component across sociodemographic characteristics. The proportion of total expenditure and income contributed by each cost was calculated for each individual. Mean and median were then used to summarize such proportions at the population level. The association between state net domestic product per capita and component share of each health care service was graphically explored.

Results

Health expenditure details were analyzed for 43 781 individuals for inpatient costs (27 272 [64.3%] women; 26 830 individuals aged 25-64 years [59.9%]) and 8914 individuals for outpatient costs (4176 [48.2%] women; 4901 individuals aged 25-64 years [54.2%]); most individuals were rural residents (24 106 inpatients [67.0]; 4591 outpatients [63.9%]). Medicines accounted for a mean of 29.1% (95% CI, 28.9%-29.2%) of OOPE among inpatients and 60.3% (95% CI, 59.7%-60.9%) of OOPE among outpatients. Doctor consultation charges were a mean of 15.3% (95% CI, 15.1%-15.4%) of OOPE among inpatients and 12.4% (95% CI, 12.1%-12.6%) of OOPE among outpatients. Diagnostic tests accounted for a mean of 12.3% (95% CI, 12.2%-12.4%) of OOPE for inpatient and 9.2% (95% CI, 8.9%-9.5%) of OOPE for outpatient services. Nonmedical costs accounted for a mean of 23.6% (95% CI, 23.3%-23.8%) of OOPE among inpatients and 14.6% (95% CI, 14.1%-15.1%) of OOPE among outpatients. Mean share of OOPE from doctor consultations and diagnostic test charges increased with socioeconomic status. For example, for the lowest vs highest monthly per capita income quintile among inpatients, doctor consultations accounted for 11.5% (95% CI, 11.1%-11.8%) vs 21.2% (95% CI, 20.8%-21.6%), and diagnostic test charges accounted for 10.9% (95% CI, 10.6%-11.1%) vs 14.3% (95% CI, 14.0%-14.5%). The proportion of mean annual health expenditure from mean annual income was $299 of $1918 (15.6%) for inpatient and $391 of $1788 (21.9%) for outpatient services.

Conclusions and Relevance

This study found that nonmedical costs were significant, share of total health care OOPE from doctor consultation and diagnostic test charges increased with socioeconomic status, and annual cost as a proportion of annual income was lower for inpatient than outpatient services.

Impact of Mobile Endoscopy Unit for Rendering Gastrointestinal Endoscopy Services at Two Community Health Centers in Western India

Background Patients with gastrointestinal (GI) symptoms in remote areas do not have access to standard medical care with the issues related to cost of medical care, transportation, health literacy, lack of healthcare insurance—all preventing healthcare access in a timely manner. To overcome this, we designed a mobile endoscopy van with the intent to provide free essential medical services to the rural population.

Methods This is a retrospective study of patients with predominantly upper GI symptoms at two community health centers (each 2 days camp). This is an audit of endoscopy findings in a community set up using a Mobile Endoscopy Unit (MEU). Patients' details were collected in a pre-designed questionnaire. Only those patients with alarm symptoms and suspicion of any pathological state underwent esophagogastroduodenoscopy (EGD) in MEU. Data analysis was done using descriptive statistics.

Results A total of 724 patients (424 [58.5%] males; mean [SD] age 48.5 [5.2] years) were included. The commonest presenting symptom was heartburn in 377 (52.1%) patients. The median duration of symptoms was 6.5 (range: 2–36) months. Gastroesophageal reflux disease was seen in 16 (6.8%) patients, ulceroproliferative growth was noted in the stomach in 3 (1.3%) patients. Eighteen (7.6%) patients had a positive rapid urease test and received Helicobacter pylori eradication therapy. The most commonly prescribed drugs were proton-pump inhibitors in 692 (95.6%) patients. Nine (1.2%) patients had chronic liver disease secondary to alcoholism and were counseled for abstinence. All procedures were safely performed without any immediate adverse events.

Conclusions Community outreach strategies such as the use of mobile endoscopy unit were found to be very useful in the diagnosis of GI symptoms. More research is needed in low-income countries to treat complex pathological states in rural patients.

Consumer preferences for health insurance, in the wake of covid-19: Ranked features and customer segments

The current study is conceptualized to assess the perception of the general population towards health insurance providers and the policy features, to segment them based on their attitudes. The mixed-method design is used in this study. One fifty health insurance users response were analyzed. The data analysis technique includes focus group discussion, henry garret ranking method, factor analysis and cluster analysis. This study concludes that health insurance providers needs to devise insurance policies incorporating the features of home health, telemedicine and income protection features. The existing users should be offered customization option due to covid-19 to prevent customer switch.

Demographics, Pattern of Care, and Outcome Analysis of Malignant Melanomas - Experience From a Tertiary Cancer Centre in India

Background

Treatment of malignant melanoma has undergone a paradigm shift with the advent of immune checkpoint inhibitors (ICI) and targeted therapies. However, access to ICI is limited in low-middle income countries (LMICs).

Patients and Methods

Histologically confirmed malignant melanoma cases registered from 2013 to 2019 were analysed for pattern of care, safety, and efficacy of systemic therapies (ST).

Results

There were 659 patients with a median age of 53 (range 44–63) years; 58.9% were males; 55.2% were mucosal melanomas. Most common primary sites were extremities (36.6%) and anorectum (31.4%). Nearly 10.8% of the metastatic cohort were BRAF mutated. Among 368 non-metastatic patients (172 prior treated, 185 de novo, and 11 unresectable), with a median follow-up of 26 months (0–83 months), median EFS and OS were 29.5 (95% CI: 22–40) and 33.3 (95% CI: 29.5–41.2) months, respectively. In the metastatic cohort, with a median follow up of 24 (0–85) months, the median EFS for BSC was 3.1 (95% CI 1.9–4.8) months versus 3.98 (95% CI 3.2–4.7) months with any ST (HR: 0.69, 95% CI: 0.52–0.92; P = 0.011). The median OS was 3.9 (95% CI 3.3–6.4) months for BSC alone versus 12.0 (95% CI 10.5–15.1) months in any ST (HR: 0.38, 95% CI: 0.28–0.50; P < 0.001). The disease control rate was 51.55%. Commonest grade 3–4 toxicity was anemia with chemotherapy (9.5%) and ICI (8.8%). In multivariate analysis, any ST received had a better prognostic impact in the metastatic cohort.

Conclusions

Large real-world data reflects the treatment patterns adopted in LMIC for melanomas and poor access to expensive, standard of care therapies. Other systemic therapies provide meaningful clinical benefit and are worth exploring especially when the standard therapies are challenging to administer.

Is IV iron sucrose a cost-effective option for treatment of severe anaemia in pregnancy as compared with oral iron?

Anaemia in pregnancy is a public health concern because it is strongly associated with maternal and perinatal morbidity and mortality. An open label randomized controlled trial (RCT) was conducted in India across four government medical colleges, comparing intravenous (IV) iron sucrose and oral iron for the treatment of anaemia in pregnancy. This RCT failed to demonstrate superiority of IV iron sucrose compared with oral iron therapy in reducing adverse clinical (maternal and foetal/neonatal) outcomes in moderate-to-severe anaemia in pregnancy. However, IV iron sucrose seemed to reduce the need for blood transfusion among women with severe anaemia. The study objective was to conduct a cost-effectiveness analysis of IV iron sucrose over oral therapy for treatment of severe anaemia in pregnancy, alongside the RCT, to inform policy. The outcome of interest in our study was a 'safe delivery' defined by the absence of composite maternal and foetal/neonatal adverse clinical outcomes. Incremental cost-effectiveness ratio (ICER) was calculated from a limited societal perspective. IV iron sucrose was found to be more costly but more effective than the oral therapy for treatment of severe anaemia. The ICER was calculated at INR 31 951 (USD 445.2) per safe delivery. We considered a threshold of half the gross national income for decision-making. Considering this threshold of India (INR 57 230, USD 797.4), IV iron-sucrose remained cost-effective in 67% of the iterations in the model. At the current ICER, for every 32 severely anaemic pregnant woman treated with IV iron sucrose one additional pregnant woman will have a safe delivery. Such analyses can complement the national strategy to support evidence-based action.

Measuring catastrophe in paying for healthcare: A comparative methodological approach by using National Sample Survey, India

Healthcare expenditure significantly varies among various segments of the population. The appropriate measures of catastrophic health expenditure (CHE) will help to unravel the real burden of spending among households. Present study provides a link between the theoretical insights from Grossman's model and various methodological approaches for the estimation of CHE by using data from the three rounds of nationally representative Consumer Expenditure Surveys, India. Statistical analysis has been carried out by using multivariate logistic regression to identify the major determinants of CHE. Findings indicate that the occurrence of CHE has increased during 1993-2012. Rural residents and households with varying age composition such as with higher numbers of children and elderly were at higher risk. Economic status is significantly associated with CHE and increased demand for healthcare. The measurements differ as per the methodological approaches of CHE and definition of household's capacity to pay. Approach-based variations in the results can be of key importance in determining trends and magnitude in CHE. Despite these variations in measurements, study finds a limited incidence of CHE among the disadvantaged segment of the population though a greater share was devoted to health expenditure in recent years. Better risk pooling mechanism is required to address the healthcare needs of the disadvantaged segment such as elderly, children, poor and rural population in India.

Economic gradient of onset of disability in India

Background

Disability in India is associated with increasing non-communicable diseases, rising longevity, and increasing accidents and injuries. Though studies have examined prevalence, patterns, and socioeconomic correlates of disability, no attempt has been made in estimating age of onset of disability in India.

Objective

This paper investigates the economic gradient of age of onset of locomotor, visual, hearing, speech, mental retardation, mental illness, and other disabilities in India.

Method

We use nationally representative data of 106,894 disabled individuals from the 76th round of National Sample Survey (NSS), 2018. Descriptive statistics, kernel density, Kaplan-Meier survival curves, and linear regression models are used in the analysis.

Result

The disability rate in India was 2184 per 100,000 persons. The disability rate was highest for locomotor (1353) followed by hearing (296), visual (234), speech (228), mental retardation (158), and mental illness (131). Over 85% of mental retardation and 80% of speech disabilities occur at birth, while 82% of locomotor and 81% of visual disabilities occur after birth. Among those who had disability after birth, the median age for mental retardation was 2 years followed by mental illness (28 years), speech (29 years), locomotor (42 years), visual (55 years), and 56 years for hearing disability. Adjusting for socioeconomic covariates, the age of onset of locomotor and speech disabilities among the poorest individuals were 7 and 11 years earlier than the richest, respectively.

Conclusion

The economic gradient of onset of locomotive and speech disabilities are strong. The age of onset of disability was earliest for mental retardation followed by mental illness and speech disability.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10826-5.

Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004-18

Background

Estimates of catastrophic health expenditure (CHE) are counterintuitive to researchers, policy makers, and developmental partners due to data and methodological limitation. While inferences drawn from use of capacity-to-pay (CTP) and budget share (BS) approaches are inconsistent, the non-availability of data on food expenditure in the health survey in India is an added limitation.

Methods

Using data from the health and consumption surveys of National Sample Surveys over 14 years, we have overcome these limitations and estimated the incidence and intensity of CHE and impoverishment using the CTP approach.

Results

The incidence of CHE for health services in India was 12.5% in 2004, 13.4% in 2014 and 9.1% by 2018. Among those households incurring CHE, they spent 1.25 times of their capacity to pay in 2004 (intensity of CHE), 1.71 times in 2014 and 1.31 times by 2018. The impoverishment due to health spending was 4.8% in 2004, 5.1% in 2014 and 3.3% in 2018. The state variations in incidence and intensity of CHE and incidence of impoverishment is large. The concentration index (CI) of CHE was − 0.16 in 2004, − 0.18 in 2014 and − 0.22 in 2018 suggesting increasing inequality over time. The concentration curves based on CTP approach suggests that the CHE was concentrated among poor. The odds of incurring CHE were lowest among the richest households [OR 0.22; 95% CI: 0.21, 0.24], households with elderly members [OR 1.20; 95% CI:1.12, 1.18] and households using both inpatient and outpatient services [OR 2.80, 95% CI 2.66, 2.95]. Access to health insurance reduced the chance of CHE and impoverishment among the richest households. The pattern of impoverishment was similar to that of CHE.

Conclusion

In the last 14 years, the CHE and impoverishment in India has declined while inequality in CHE has increased.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01421-6.

Understanding equity of institutional delivery in public health centre by level of care in India: an assessment using benefit incidence analysis

BACKGROUND

The National Health Mission (NHM), the largest ever publicly funded health programme worldwide, used over half of the national health budget in India and primarily aimed to improve maternal and child health in the country. Though large scale public health investment has improved the health care utilization and health outcomes across states and socio-economic groups in India, little is known on the equity concern of NHM. In this context, this paper examines the utilization pattern and net benefit of public subsidy for institutional delivery by the level of care in India.

METHODS

Data from the most recent round of the National Family Health Survey (NFHS 4), conducted during 2015-16, was used in the study. A total of 148,645 last birth delivered in a health centre during the 5 years preceding the survey were used for the analyses. Out-of-pocket (OOP) payment on delivery care was taken as the dependent variable and was analysed by primary care and secondary level of care. Benefits Incidence Analysis (BIA), descriptive statistics, concentration index (CI), and concentration curve (CC) were used to do the analysis.

RESULTS

Institutional delivery from the public health centres in India is pro-poor and has a strong economic gradient. However, about 28% mothers from richest wealth quintile did not pay for delivery in public health centres compared to 16% among the poorest wealth quintile. Benefit incidence analyses suggests a pro-poor distribution of institutional delivery both at primary and secondary level of care. In 2015-16, at the primary level, about 32.29% of subsidies were used by the poorest, 27.22% by poorer, 20.39% by middle, 13.36% by richer and 6.73% by the richest wealth quintile. The pattern at the secondary level was similar, though the magnitude was lower. The concentration index of institutional delivery in public health centres was - 0.161 [95% CI, - 0.158, - 0.165] compared to 0.296 [95% CI, 0.289, 0.303] from private health centres.

CONCLUSION

Provision and use of public subsidy for institutional delivery in public health centres is pro-poor in India. Improving the quality of service in primary health centres is recommended to increase utilisation and reduce OOP payment for health care in India.

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.

Mapping fear among doctors manning screening clinics for COVID19. Results from cloud based survey in Eastern parts of India

Background:

As the number of cases of COVID19 from novel corona virus 2019 rises so are the number of deaths ensuing from it. Doctors have been in front in these calamitous times across the world. India has less number of doctors so doctors are overwhelmed with more number of patients to cater. Thereby they are also fearing that they will be exposed much as they often work in limited resource settings.

Methods:

An on line survey was to include doctors from eastern states in India for measuring the reasons of their fear and suggest possible solutions based on the results achieved thus. After IEC clearance a semi-structured anonymous questionnaire was sent on google forms as links on known to doctors, working in screening OPDs or flu clinics especially for COVID-19.

Results:

Out of 59 Doctors majority were provided with sanitizers for practicing hand hygiene. Gloves were provided everywhere but masks particularly N95 and Triple Layer surgical masks were not there for all. Training was not given universally. Fear was dependent on age in our sample.

Conclusion:

Training and strict adherence to infection control measures along with resources can help in removing the fear.