Out-of-pocket expenditure and catastrophic health spending on maternal care in public and private health centres in India: a comparative study of pre and post national health mission period

Household Catastrophic Health Expenditures in Maternal Care: A Cross-Sectional Study From Semnan, Iran

Background

Due to its indisputable influence on maternal and child health, maternal care is among the most crucial requisites in all health systems.

Objective

This study aimed to investigate the catastrophic health expenditures (CHE) in maternal care.

Methods

This cross-sectional survey included 400 pregnant women using systematic random sampling in Semnan, Iran, from July 1, 2022, to September 30, 2022. The study tool was a researcher-made questionnaire, the content validity of which was approved by experts, and CVR and CVI values of 0.89 and 0.91, respectively. The CHE occurs when out-of-pocket medical expenditures account for 40% of household affordability and more, so all pregnancy-related healthcare costs were recorded, and their ratio to the household's nonfood costs was calculated. Due to the qualitative nature of the data, a chi-square test was performed to evaluate the statistical association between demographic and background variables with CHE.

Results

The mean direct costs for maternal care was $1697, of which 48% was related to diagnostic services, 11% to various therapies, and 41% to medical treatment. The ratio of direct costs to nonfood costs was 48.67%, and 50% of pregnant women and their households suffered from CHE. Furthermore, the factors of educational status, employment status, basic health insurance, supplementary health insurance, mode of delivery, place of delivery, place of receiving care, and the woman's weight during pregnancy had statistically significant relationships with CHE (p < 0.05).

Conclusions

The status of financial support provided to Iranian pregnant women is not desirable. The Iranian health system should reduce the incidence of CHE in maternal care by taking the following steps: (1) fully covering the costs of maternal care services by strengthening insurance facilities, (2) investing enough money in domestic procurement of diagnostic technology and medical supplements, and (3) providing high-quality maternal care in the public sector facilities.

Assessing the financial burden of multimorbidity among patients aged 30 and above in India

BACKGROUND

Multimorbidity is associated with significant out-of-pocket expenditures (OOPE) and catastrophic health expenditure (CHE), especially in low- and middle-income countries like India. Despite this, there is limited research on the financial burden of multimorbidity in outpatient and inpatient care, and cross-state comparisons of CHE are underexplored.

METHODS

We conducted a cross-sectional analysis using nationally representative data from the National Sample Survey 75th Round 'Social Consumption in India: Health (2017-18)', focusing on patients aged 30 and above in outpatient and inpatient care in India. We assessed multimorbidity prevalence, OOPE, CHE incidence, and CHE intensity. Statistical models, including linear, log-linear, and logistic regressions, were used to examine the financial risk, with a focus on non-communicable diseases (NCDs), healthcare facility choice, and socioeconomic status and Epidemiological Transition Levels (ETLs).

RESULTS

Multimorbidity prevalence in outpatient care (6.1%) was six times higher than in inpatient care (1.1%). It was most prevalent among older adults, higher MPCE quintiles, urban patients, and those with NCDs. Multimorbidity was associated with higher OOPE, particularly in the rich quintile, patients seeking care from private providers, low ETL states, and rural areas. CHE incidence was highest in low ETL states, private healthcare users, poorest quintile, males, and patients aged 70 + years. CHE intensity, measured by mean positive overshoot, was greatest among the poorest quintile, low ETL states, rural, and male patients. Log-linear and logistic regressions indicated that multimorbidity patients with NCDs, those seeking private care, and those in low ETL states had higher OOPE and CHE risk. The poorest rural multimorbidity patients had the greatest likelihood of experiencing CHE. Furthermore, CHE intensity was significantly elevated among multimorbidity patients with NCDs (95% CI: 19.29-45.79), patients seeking care in private, poorest, and from low ETL states (95% CI: 7.36-35.79).

CONCLUSIONS

The high financial burden of OOPE and CHE among multimorbidity patients, particularly those with NCDs, highlight the urgent need for comprehensive health policies that address financial risk at the primary care level. To alleviate the financial burden among multimorbidity patients, especially in low-resource settings, it is crucial to expand public healthcare coverage, incorporate outpatient care into financial protection schemes, advocate for integrated care models and preventive strategies, establish standardized treatment protocols for reducing unnecessary medications linked to polypharmacy, and leverage the support of digital health technologies.

Health-related inequalities in out-of-pocket expenditure under universal health coverage in Taiwan: A cross-sectional decomposition analysis

OBJECTIVES

Studies have investigated income-related inequality in out-of-pocket expenditure (OOPE) on health care but less is known about health-related inequality of OOPE distribution. This study analysed the relationship between health-related inequality and OOPE and the factors contributing to OOPE inequality in Taiwan.

METHODS

We developed a household OOPE questionnaire and conducted a nationally representative cross-sectional survey of households in Taiwan between January and August 2022, using two-stage probability proportional-to-size sampling based on a national address registry in Taiwan. We calculated a concentration index to determine OOPE inequality in health. We then identified factors contributing to OOPE inequality in health distribution by performing a decomposition analysis.

RESULTS

A total of 657 people responded to the survey (81.4% response rate). The two largest categories of OOPE were spending on curative care and on medical goods and pharmaceuticals, with concentration indices of -0.265 (p < .001), -0.272 (p = .006) and -0.227 (p = .003), respectively, indicating that the OOPE burden fell disproportionately on people with poor health. Socioeconomic status explained significant proportions of inequality in total, curative and medical goods and pharmaceuticals OOPE. Utilisation of health care increased the OOPE burden among people with poor health while having private health insurance worked in the opposite direction.

CONCLUSION

In Taiwan, people in poor health faced a disproportionately high OOPE burden, indicating that the National Health Insurance scheme may not meet their needs for health care. There is a need for policies to take account of the different factors affecting health inequalities in OOPE in order to enhance equity in Taiwan's universal health system.

"Private Hospitals Generally Offer Better Treatment and Facilities": Out-of-Pocket Expenditure on Healthcare and the Preference for Private Healthcare Providers in South India

Out-of-pocket expenditure (OOPE) directly reflects households' financial burden for healthcare. Despite efforts to enhance accessibility and affordability through government initiatives and insurance schemes, OOPE remains problematic, especially in rural areas with inadequate public healthcare infrastructure. This study examines factors influencing OOPE in Karnataka's Dakshina Kannada, Udupi, and Shimoga districts, investigating socioeconomic characteristics, healthcare infrastructure, and accessibility to inform policies for equitable healthcare access and reduced household financial strain. Using purposive sampling, 61 semi-structured interviews were conducted in rural and urban South Karnataka, recorded in Kannada after obtaining consent, and thematically analyzed. Results revealed mixed perceptions of healthcare quality, cost, and accessibility between government and private hospitals. Government facilities were lauded for improved infrastructure and affordability, while private hospitals were preferred for quality and personalized care despite higher costs. Health insurance significantly impacted OOPE reduction. Participants emphasized the need for increased awareness of government insurance programs and improved quality in public hospitals. The study concludes that private hospitals are favored for superior care despite expenses, while government hospitals are valued for affordability. Expanding insurance coverage and improving public awareness are crucial for enhancing healthcare accessibility and affordability.

Financing for equity for women's, children's and adolescents' health in low- and middle-income countries: A scoping review

Over the past few decades, the world has witnessed considerable progress in women's, children's and adolescents' health (WCAH) and the Sustainable Development Goals (SDGs). Yet deep inequities remain between and within countries. This scoping review aims to map financing interventions and measures to improve equity in WCAH in low- and middle-income countries (LMICs). This scoping review was conducted following Joanna Briggs Institute (JBI) guidance for conducting such reviews as well as the PRISMA Extension for Scoping Reviews (PRISMA-ScR) for reporting scoping reviews. We searched Medline, PubMed, EMBASE and the World Health Organization's (WHO) Global Index Medicus, and relevant websites. The selection process was conducted in duplicate and independently. Out of 26 355 citations identified from electronic databases, relevant website searches and stakeholders' consultations, 413 studies were included in the final review. Conditional cash transfers (CCTs) (22.3%), health insurance (21.4%), user fee exemptions (18.1%) and vouchers (16.9%) were the most reported financial interventions and measures. The majority were targeted at women (57%) and children (21%) with others targeting adolescents (2.7%) and newborns (0.7%). The findings highlighted that CCTs, voucher programs and various insurance schemes can improve the utilization of maternal and child health services for the poor and the disadvantaged, and improve mortality and morbidity rates. However, multiple implementation challenges impact the effectiveness of these programmes. Some studies suggested that financial interventions alone would not be sufficient to achieve equity in health coverage among those of a lower income and those residing in remote regions. This review provides evidence on financing interventions to address the health needs of the most vulnerable communities. It can be used to inform the design of equitable health financing policies and health system reform efforts that are essential to moving towards universal health coverage (UHC). By also unveiling the knowledge gaps, it can be used to inform future research on financing interventions and measures to improve equity when addressing WCAH in LMICs.

Measuring the Prevalence, Treatment, and Associated Treatment Costs of Injury for Older Adults in India: Insights from the National Longitudinal Aging Study

This cross-sectional analysis of secondary data aimed to examine the injury prevalence, treatment, and associated healthcare expenditure among older adults in India. Longitudinal Aging Study India Wave 1 data for those aged 60+ years comprising sociodemographic characteristics and self-reported major injury, injury mechanism, falls and joint/bone fractures, treatment sought, and out-of-pocket expenditure (OOPE) were analyzed. Descriptive, relative risk, bivariate, and two-part regression model analyses were conducted. Fifteen percent of the 31,464 older adults surveyed had experienced a major injury, 13% a fall and 5% a bone/joint fracture. The risk of injury increased with age and income and was higher for urban residents and females. Seventy-eight percent of those who experienced injury sought medical treatment, 56% needing treatment for a serious fall and 3% undergoing surgery. Higher proportions of females than males required medical treatment for falls and injury-related surgery, yet on average, females were spending less than males for public or private hospital treatment. Injury-related OOPE increased with age and decreased with lower education. Scaling up injury prevention efforts specifically focused on older adults will be vital given the projected growth in the older adult population in India in coming years. Such efforts will prevent unnecessary health impacts and reduce health system utilization and associated individual and family economic burden.

Decomposing the inequalities in the catastrophic health expenditures on the hospitalization in India: empirical evidence from national sample survey data

Introduction

Sustainable Development Goal (SDG) Target 3.8.2 entails financial protection against catastrophic health expenditure (CHE) by reducing out-of-pocket expenditure (OOPE) on healthcare. India is characterized by one of the highest OOPE on healthcare, in conjunction with the pervasive socio-economic disparities entrenched in the population. As a corollary, India has embarked on the trajectory of ensuring financial risk protection, particularly for the poor, with the launch of various flagship initiatives. Overall, the evidence on wealth-related inequities in the incidence of CHE in low- and middle-Income countries has been heterogenous. Thus, this study was conducted to estimate the income-related inequalities in the incidence of CHE on hospitalization and glean the individual contributions of wider socio-economic determinants in influencing these inequalities in India.

Methods

The study employed cross-sectional data from the nationally represented survey on morbidity and healthcare (75th round of National Sample Survey Organization) conducted during 2017-2018, which circumscribed a sample size of 1,13,823 households and 5,57,887 individuals. The inequalities and need-adjusted inequities in the incidence of CHE on hospitalization care were assessed via the Erreygers corrected concentration index. Need-standardized concentration indices were further used to unravel the inter- and intra-regional income-related inequities in the outcome of interest. The factors associated with the incidence of CHE were explored using multivariate logistic regression within the framework of Andersen's model of behavioral health. Additionally, regression-based decomposition was performed to delineate the individual contributions of legitimate and illegitimate factors in the measured inequalities of CHE.

Results

Our findings revealed pervasive wealth-related inequalities in the CHE for hospitalization care in India, with a profound gap between the poorest and richest income quintiles. The negative value of the concentration index (EI: -0.19) indicated that the inequalities were significantly concentrated among the poor. Furthermore, the need-adjusted inequalities also demonstrated the pro-poor concentration (EI: -0.26), denoting the unfair systemic inequalities in the CHE, which are disadvantageous to the poor. Multivariate logistic results indicated that households with older adult, smaller size, vulnerable caste affiliation, poorest income quintile, no insurance cover, hospitalization in a private facility, longer stay duration in the hospital, and residence in the region at a lower level of epidemiological transition level were associated with increased likelihood of incurring CHE on hospitalization. The decomposition analysis unraveled that the contribution of non-need/illegitimate factors (127.1%) in driving the inequality was positive and relatively high vis-à-vis negative low contribution of need/legitimate factors (35.3%). However, most of the unfair inequalities were accounted for by socio-structural factors such as the size of the household and enabling factors such as income group and utilization pattern.

Conclusion

The study underscored the skewed distribution of CHE as the poor were found to incur more CHE on hospitalization care despite the targeted programs by the government. Concomitantly, most of the inequality was driven by illegitimate factors amenable to policy change. Thus, policy interventions such as increasing the awareness, enrollment, and utilization of Publicly Financed Health Insurance schemes, strengthening the public hospitals to provide improved quality of specialized care and referral mechanisms, and increasing the overall budgetary share of healthcare to improve the institutional capacities are suggested.

Determinants of public institutional births in India: An analysis using the National Family Health Survey (NFHS-5) factsheet data

Background

Institutional births ensure deliveries happen under the supervision of skilled healthcare personnel in an enabling environment. For countries like India, with high neonatal and maternal mortalities, achieving 100% coverage of institutional births is a top policy priority. In this respect, public health institutions have a key role, given that they remain the preferred choice by most of the population, owing to the existing barriers to healthcare access. While research in this domain has focused on private health institutions, there are limited studies, especially in the Indian context, that look at the enablers of institutional births in public health facilities. In this study, we look to identify the significant predictors of institutional birth in public health facilities in India.

Method

We rely on the National Family Health Survey (NFHS-5) factsheet data for analysis. Our dependent variable (DV) in this study is the % of institutional births in public health facilities. We first use Welch's t-test to determine if there is any significant difference between urban and rural areas in terms of the DV. We then use multiple linear regression and partial F-test to identify the best-fit model that predicts the variation in the DV. We generate two models in this study and use Akaike's Information Criterion (AIC) and adjusted R2 values to identify the best-fit model.

Results

We find no significant difference between urban and rural areas (P = 0.02, α =0.05) regarding the mean % of institutional births in public health facilities. The best-fit model is an interaction model with a moderate effect size (Adjusted2 = 0.35) and an AIC of 179.93, lower than the competitive model (AIC = 183.56). We find household health insurance (β = -0.29) and homebirth conducted under the supervision of skilled healthcare personnel (β = -0.56) to be significant predictors of institutional births in public facilities in India. Additionally, we observe low body mass index (BMI) and obesity to have a synergistic impact on the DV. Our findings show that the interaction between low BMI and obesity has a strong negative influence (β = -0.61) on institutional births in public health facilities in India.

Conclusion

Providing households with health insurance coverage may not improve the utilisation of public health facilities for deliveries in India, where other barriers to public healthcare access exist. Therefore, it is important to look at interventions that minimise the existing barriers to access. While the ultimate objective from a policy perspective should be achieving 100% coverage of institutional births in the long run, a short-term strategy makes sense in the Indian context, especially to manage the complications arising during births outside an institutional setting.

Access to Affordable Health: A Care Delivery Model of GNRC Hospitals in North-Eastern India

Introduction

The healthcare delivery system of Assam faces several challenges to provide affordable, accessible and quality care services. GNRC (Guwahati Neurological Research Center) is the first super-speciality hospital to address many of these gaps by delivering integrated affordable healthcare services to the populations of Assam and other parts of North-eastern India.

Description & Discussion

This paper describes the implementation of a care delivery model which provides integrated care delivery services through linking hospitals to primary healthcare services, including preventive, promotive, and curative care, along with delivering easily accessible and affordable care to the people of Assam and other parts of North-eastern India.

Conclusion

The proposed model is the first innovative approach from North-eastern India, Assam, to deliver affordable, accessible and patient-centric hospital led community-based preventive, promotive, and primary, secondary, and tertiary hospital-based care. It is anticipated that GNRC's "Affordable Health Mission" will help redesign and integrate the way primary, secondary and tertiary healthcare is delivered to the population of Assam in helping patients manage their own health and reduce the numbers that needs to be admitted to secondary care and tertiary care by improving patients' independence and well-being as well as dramatically reducing the cost to the overall health system.

A comprehensive examination of the economic impact of out-of-pocket health expenditures in India

More than 50% of health expenditure is financed through out-of-pocket payments in India, imposing a colossal financial burden on households. Amidst the rising incidence of non-communicable diseases, injuries, and an unfinished agenda of infectious diseases, this study examines comprehensively the economic impact of out-of-pocket health expenditure (OOPE) across 17 disease categories in India. Data from the latest round of the National Sample Survey (2017-18), titled 'Household Social Consumption: Health', were employed. Outcomes, namely, catastrophic health expenditure (CHE), poverty headcount ratio, distressed financing, foregone care, and loss of household earnings, were estimated. Results showed that 49% of households that sought hospitalization and/or outpatient care experienced CHE and 15% of households fell below the poverty line due to OOPE. Notably, outpatient care was more burdensome (CHE: 47.8% and impoverishment: 15.0%) than hospitalization (CHE: 43.1% and impoverishment: 10.7%). Nearly 16% of households used distressed sources to finance hospitalization-related OOPE. Cancer, genitourinary disorders, psychiatric and neurological disorders, obstetric conditions, and injuries imposed a substantial economic burden on households. OOPE and associated financial burden were higher among households where members sought care in private healthcare facilities compared with those treated in public facilities across most disease categories. The high burden of OOPE necessitates the need to increase health insurance uptake and consider outpatient services under the purview of health insurance. Concerted efforts to strengthen the public health sector, improved regulation of private healthcare providers, and prioritizing health promotion and disease prevention strategies are crucial to augment financial risk protection.

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

OBJECTIVE

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

RESULTS

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

Income-related inequality in out-of-pocket health-care expenditures under Taiwan's national health insurance system: An international comparable estimation based on A System of Health Accounts

National estimates of out-of-pocket health-care expenditures (OOP-HCEs) that use comparable international guidelines based on A Systems of Health Accounts (SHA) are generally unavailable in Taiwan. International comparable OOP are essential for designing universal health-coverage (UHC) policy. We designed an SHA-based household OOP questionnaire. A nationally representative cross-sectional survey was then conducted from January to August 2022. The final questionnaire was completed by 657 households and 1969 individuals. The total OOPs were divided into expenditures related to curative care (HC.1), rehabilitative care (HC.2), long-term care (HC.3), ancillary services (HC.4), and medical goods (HC.5). National estimates were calculated by accounting for the complex survey design. Variance was estimated through Taylor series linearization. The concentration index was calculated using household income as the ranking variable. We then identified factors contributing to the inequality in OOP distribution by household income. National estimates revealed an OOP of NT$424 billion, which accounted for 29.6% of Taiwan's national health expenditure in 2021. Private health insurance (PHI) reimbursements accounted for 9.0% of the total OOP. The OOPs for curative care and medical goods accounted for 50.1% and 39.0% of the total OOP, respectively. The OOPs after PHI reimbursements were progressive (concentration index = 0.103, P = 0.012). The frequency of medical-care use and the number of medical visits negatively affected progressive OOPs. International comparable OOPs revealed that under the Taiwanese National Health Insurance (NHI), OOPs can still be high. However, the NHI might have caused OOPs to be progressive from the perspective of income but regressive from the perspective of health status. Countries striving for UHC should consider the redistribution effect of public health insurance and possible inequalities in health.

The lived experience of carers who assist people with disability in Ernakulam, Kerala, India

PURPOSE

Family members are preferred providers of care for people with disability in India. Despite this, research which evaluates the impact of caregiving is limited. This qualitative study provides a comprehensive, in-depth exploration of the lived experience of carers who provide assistance to persons with a disability in Southwest India.

METHODS

In this qualitative study, 20 carers who assist persons with disability were purposively selected to undertake semi-structured interviews across a variety of domains. Data analysis was informed by Attride-Stirling's thematic network analysis.

RESULTS

Five global themes were identified which included; carers commitment to caring; concurrent demands of caregiving; mental and physical health of carers; networks and sources of non-financial support; and finances - strains and supports.

CONCLUSIONS

This study provides an in-depth exploration of the lived experience of carers in Kerala, India which will inform the future development of interventions to assist primary carers.Implications for rehabilitationFamily members are preferred providers of care for people with disability in India.By understanding the issues that affect carers who assist people with disability, it is possible to develop more effective, targeted, and sustainable interventions, that meet the needs of carers and alleviate some of their burden.Improving the health and wellbeing of carers needs to be urgently addressed in order to improve outcomes for those with disability - whom they care for.

Effect of Socioeconomic Factors on the Choice of Health care Institutions for Delivery Care

During the past two decades, Pakistan witnessed a significant progress in maternal health outcomes. However, there exist persistent urban-rural and socio-economic inequalities in access and utilization of maternal healthcare services across the country. The overall objective of this research was to identify the significant socio-economic factors determining the choice of healthcare institutions for delivery care. This was a cross-sectional study conducted in Rajan Pur, a predominantly rural district in Punjab province. Using a multi-stage random sampling technique, 368 mothers who had childbirths from 1st October to 31st December 2020 in different healthcare institutions were interviewed. Data for the study was collected through a validated study instrument used by earlier studies on maternal healthcare utilization. The results of logistic regression analysis showed that use of public healthcare facilities for delivery care increases with increasing maternal education, monthly household income, and distance to healthcare facilities. The findings and recommendations drawn from the research would provide some insights to health policymakers and planners in developing an integrated and viable maternal healthcare program in Pakistan.

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.

Bottleneck analysis of maternal and newborn health services in hard-to-reach areas of Bangladesh using ‘TANAHASHI’ framework’: An explanatory mixed-method study

Maternal and Newborn Health (MNH) is of paramount importance in the realm of attaining sustainable development goals that also focuses on universal health coverage (UHC). The study aimed at identifying and exploring the bottlenecks in MNH services in Hard-to-reach (HtR) areas of Bangladesh using the Tanahashi framework exploring the possible remedial approaches. The study was conducted in four different types of HtR areas (hilly, coastal, lowlands, and river islands) by utilizing a sequential explanatory mixed-method design. Overall, we collected information from 20 health facilities and 2,989 households by interviewing 2,768 recently delivered women (RDW) with a structured questionnaire and qualitative interviews (n = 55) of facility managers, local stakeholders, RDWs, and health care providers (HCP). The quantitative data were analyzed principally for descriptive statistics and the qualitative data was analyzed by utilizing the thematic approach. Antenatal care, under-5 care, and family planning services were available in almost all the facilities. However, Normal vaginal deliveries were performed in 55.6% of the union-level facilities. Only 40% of sub-district level facilities had provision for C-sections. Blood transfusion services were available in only 20.1% of facilities, whereas laboratory services were obtainable in 51.7% of facilities. Overall, the bottlenecks were identified in cases of availability of drugs, human resources, transportation, lack of knowledge regarding different essential services and health components, out of pocket expenditure etc. There have been several remedial approaches suggested from both the demand and supply side that included incentives for care providers for staying in these areas, a coordinated transport/referral system, and health education campaigns. More research works are warranted in HtR areas, especially to test the proposed interventions. Meanwhile, the government should take the necessary steps to overcome the bottlenecks identified.

Determinants of Turkish households' out-of-pocket expenditures on three categories of health care services: A multivariate probit approach

This study identifies the driving forces that contribute to the probabilities of incidence of out-of-pocket (OOP) expenditures by households in Turkey. Factors affecting the probability of OOP expenditures on medical products/devices/supplies (MP), outpatient services (OTS), and inpatient services (ITS) are examined using the Household Budget Survey data gathered by the Turkish Statistical Institute in 2018. The study applies the multivariate probit model. The incidence of OOP spending varied with 48.9% of the households reporting OOP expenditure on MP, 22.4% on OTS, and 25.4% on ITS. The largest probability changes were associated with household disposable annual income, household type and size, age category, and having private health insurance. Gender and marital status also influenced expenditures in some categories. Lifestyle choices had small and mixed effects, with smoking and alcohol consumption lowering the probability of OOP spending. From a policy standpoint, households with the lowest incomes, large households, and those where the household head was 'others' (retiree, student, housewife, not actively working, etc.) or had a condition preventing employment seemed to report OOP expenditures less frequently and may have chosen not to receive healthcare services, leading to the need for more healthcare services later.

The inequalities and determinants of Households' Distress Financing on Out-off-Pocket Health expenditure in Malaysia

Background

Out-of-pocket (OOP) payments for healthcare services potentially have severe consequences on households, especially among the poor. Under certain circumstances, healthcare payments are financed through selling household assets, or borrowings. This certainly could influence households’ decision, which likely resorts to forgoing healthcare services. Thus, the focal point of this study is aimed to identify the inequalities and determinants of distress financing among households in Malaysia.

Methods

This study used secondary data from the National Health and Morbidity Survey (NHMS) 2019, a national cross-sectional household survey that used a two-stage stratified random sampling design involving 5,146 households. The concentration curve and concentration index were used to determine the economic inequalities in distress financing. Whereas, the determinants of distress financing were identified using the modified Poisson regression model.

Results

The prevalence of borrowing without interest was the highest (13.86%), followed by borrowing with interest (1.03%) while selling off assets was the lowest (0.87%). Borrowing without interest was highest among rural (16.21%) and poor economic status (23.34%). The distribution of distress financing was higher among the poor, with a concentration index of -0.245. The modified Poisson regression analysis revealed that the poor, middle, rich, and richest had 0.57, 0.58, 0.40 and 0.36 times the risk to develop distress financing than the poorest socio-economic group. Whereas, the presence of one and two or more elderly were associated with a 1.94 and 1.59 times risk of experiencing distress financing than households with no elderly members. The risk of developing distress financing was also 1.28 and 1.58 times higher among households with one and two members receiving inpatient care in the past 12 months compared to none.

Conclusions

The findings implied that the improvement of health coverage should be emphasized to curtail the prevalence of distress financing, especially among those caring for the elderly, requiring admission to hospitals, and poor socio-economic groups. This study could be of interest to policymakers to help achieve and sustain health coverage for all.

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

Abstract

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

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

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

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

Horizontal inequity in the utilisation of Continuum of Maternal Health care Services (CMHS) in India: an investigation of ten years of National Rural Health Mission (NRHM)

BACKGROUND

Continuum of Maternal Health Care Services (CMHS) has garnered attention in recent times and reducing socio-economic disparity and geographical variations in its utilisation becomes crucial from an egalitarian perspective. In this study, we estimate inequity in the utilisation of CMHS in India between 2005 and 06 and 2015-16.

METHODS

We used two rounds of National Family Health Survey (NFHS) - 2005-06 and 2015-16 encompassing a sample size of 34,560 and 178,857 pregnant women respectively. The magnitude of horizontal inequities (HI) in the utilisation of CMHS was captured by adopting the Erreygers Corrected Concentration indices method. Need-based standardisation was conducted to disentangle the variations in the utilisation of CMHS across different wealth quintiles and state groups.  Further, a decomposition analysis was undertaken to enumerate the contribution of legitimate and illegitimate factors towards health inequity.

RESULTS

The study indicates that the pro-rich inequity in the utilisation of CMHS has increased by around 2 percentage points since the implementation of National Rural Health Mission (NRHM), where illegitimate factors are dominant. Decomposition analysis reveals that the contribution of access related barriers plummeted in the considered period of time. The results also indicate that mother's education and access to media continue to remain major contributors of pro-rich inequity in India. Considering, regional variations, it is found that the percentage of pro-rich inequity in high focus group states increased by around 3% between 2005 and 06 and 2015-16. The performance of southern states of India is commendable.

CONCLUSIONS

Our study concludes that there exists a pro-rich inequity in the utilisation of CMHS with marked variations across state boundaries. The pro-rich inequity in India has increased between 2005 and 06 and high focus group states suffered predominantly. Decentralisation of healthcare policies and  granting greater power to the states might lead to equitable distribution of CMHS.

Social and Regional Disparities in Utilization of Maternal and Child Healthcare Services in India: A Study of the Post-National Health Mission Period

BACKGROUND

India has enjoyed enhanced economic growth, but has fared poorly in human development indicators and health outcomes, over the last two decades. Significant health inequities and access to healthcare continue to exist and have widened within communities across states. This study examine the changes and disparities in maternal and child healthcare (MCH) among disadvantaged and advanced social groups in three states of India.

DATA AND METHODS

Four rounds of National Family Health Survey data were used to measure infant mortality rate (IMR) and under-five mortality rate (U5MR) according to the social groups for the selected states. This study investigates the socio-economic inequities manifested into caste and class differentials and inequities in availability, utilization, and affordability of maternal and healthcare services. Descriptive statistics and the logistic regression model were used. Individual- and household-level covariates were employed to understand the differentials in healthcare utilization.

RESULTS

The probability of not receiving full antenatal care (ANC) or full immunization for the children was highest among the Scheduled Caste/Scheduled Tribe (SC/ST) families, followed by economic class, mother's education and residence. Tamil Nadu showed the highest utilization of public health facilities, while Bihar was the poorest in terms of health outcomes and utilization of MCH care services even after the pre-National Health Mission (NHM) period. Bihar and West Bengal also showed private healthcare dependence.

CONCLUSION

This study detected the presence of significant caste/tribe differentials in the utilization of MCH care services in the selected states of India. Limited accessibility and unavailability of complete healthcare were the foremost reasons for the under-utilization of these services, especially for people from disadvantaged social groups. The result also suggested that it is perilous to confirm "Health for All" immediately. It will be the efficiency with which India addresses inequities in providing healthcare services and guarantees quality care of health services.

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.

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.

Impact of socio-economic inequity in access to maternal health benefits in India: Evidence from Janani Suraksha Yojana using NFHS data

BACKGROUND

Caste plays a significant role in Indian society and it influences women to health care access in the community. The implementation of the maternal health benefits scheme in India is biased due to caste identity. In this context, the paper investigates access to Janani Suraksha Yojana (JSY) among social groups to establish that caste still plays a pivotal role in Indian society. Also, this paper aims to quantify the discrimination against Scheduled Castes/Scheduled Tribes (SCs/STs) in accessing JSY.

METHODS

This paper uses a national-level data set of both NFHS-3 (2005-06) and NFHS-4 (2015-16). Both descriptive statistics and the Fairlie decomposition econometric model have been used to measure the explained and unexplained differences in access to JSY between SCs/STs and non-SCs/STs groups.

RESULTS

Overall, the total coverage of JSY in India is still, 36.4%. Further, it is found that 72% of access to JSY is explained by endowment variables. The remaining unexplained percentage (28%) indicates that there is caste discrimination (inequity associated social-discrimination) against SCs/STs in access to JSY. The highest difference (54%) between SCs/STs and non-SCs/STs in access to JSY comes from the wealth quintile, with the positive sign indicating that the gap between the two social groups is widening.

DISCUSSION AND CONCLUSION

It is necessary for the government to implement a better way to counter the caste-based discrimination in access to maternal health benefits scheme. In this regard, ASHA and Anganwadi workers must be trained to reduce the influence of dominant caste groups as well as they must be recruited from the same community to identify the right beneficiaries of JSY and in order to reduce inequity associated with social-discrimination.

Impact of public health programs on maternal and child health services and health outcomes in India: A systematic review

BACKGROUND

In the last two decades, India's central and many state governments launched several public health programs with the goal of improving maternal and child health outcomes. Many individual studies assessed the impact of these programs; however, they focused on select health programs and few specific outcomes.

OBJECTIVES AND METHODS

This paper summarizes the literature, published during 2000-2019, investigating the impacts of public health programs on both the uptake of maternal and child health services and the related-health outcomes in India. We followed PRISMA guidelines of systematic review, and carried out a narrative synthesis of the study findings.

FINDINGS AND CONCLUSION

We found 66 relevant studies covering 11 health programs across India. Most studies had applied non-experimental study designs (n = 50), with few applying experimental (n = 1) and quasi-experimental (n = 15) designs. Most studies (n = 64) assessed the impact on the intermediate outcomes of the uptake of various health services rather on the long-term outcomes of improvement in health. Overall we found studies reporting positive impacts, however, we could not find any strong consensus emerging from these studies about the impact, partly due to differences in: outcome indicators; study designs; study population; data sets. Several studies also reported considerable beneficial impacts among low socioeconomic population groups. However, given that the outreach of the public health programs have been low across the country and population groups, we found that broader objectives of health programs remained unassessed: most studies assessed the impact on who actually participated in the program (average treatment effect on-the-treated) rather on the target population (intent-to-treat effect). Furthermore, there was dearth of research on the impacts of the state-level programs. Future research need to assess the impact of the programs on health outcomes, and on quality adjusted measures of maternal and child health services and its continuum of care.

Regional inequality in the Janani Suraksha Yojana coverage in India: a geo-spatial analysis

Introduction

Although India has made significant progress in institutional delivery after the implementation of the National Rural Health Mission under which the Janani Suraksha Yojana (JSY) is a sub-programme which played a vital role in the increase of institutional delivery in public facilities. Therefore, this paper aims to provide an understanding of the JSY coverage at the district level in India. Further, it tries to carve out the factors responsible for the regional disparity of JSY coverage at district levels.

Methods

The study used the National Family Health Survey data, which is a cross-sectional survey conducted in 2015–16, India. The sample size of this study was 148,145 women aged 15–49 years who gave last birth in the institution during 5 years preceding the survey. Bivariate and multivariate regression analysis was used to fulfill the study objectives. Additionally, Moran’s I statistics and bivariate Local Indicator for Spatial Association (LISA) maps were used to understand spatial dependence and clustering of JSY coverage. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of JSY utilization.

Results

The value of spatial-autocorrelation for JSY was 0.71 which depicts the high dependence of the JSY coverage over districts of India. The overall coverage of JSY in India is 36.4% and it highly varied across different regions, districts, and even socioeconomic groups. The spatial error model depicts that if in a district the women with no schooling status increase by 10% then the benefits of JSY get increased by 2.3%. Similarly, if in a district the women from poor wealth quintile, it increases by 10% the benefits of JSY also increased by 4.6%. However, the coverage of JSY made greater imperative to understand it due to its clustering among districts of specific states only.

Conclusion

It is well reflected in the EAGs states in terms of spatial-inequality in service coverage. There is a need to universalize the JSY programme at a very individual level. And, it is required to revisit the policy strategy and the implementation plans at regional or district levels.

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.

Predictors of 'Out-of-Pocket Expenditure' on Routine Immunization of Under-Five Children: A Regression Analysis

Introduction: ‘Out-of-pocket expenditure’ (OOPE) is the expenditures at the point of receiving health care directly by households which affects the economic stability of the household. When the expenditure on immunization of under-five children results in OOPE, it affects the motivation of parents for vaccination inversely.

Aim: This study was planned to evaluate the out-of-pocket expenditure and to assess predictors of OOPE on routine immunization practices.

Settings and design: This was a cross-sectional community-based study conducted from May to August 2019 at one of the immunization sites at primary health centers under a tertiary care institute of southern Rajasthan.

Material and methods: At the selected health facility, randomly 75% of beneficiaries of routine immunization were enrolled for the study. Data were collected using a pre-designed, pre-tested semi-structured questionnaire about direct and indirect expenses during the process of immunization incurred by the parents of the vaccinee by interview technique.

Results: In the study, 72.36% were infants, and 56.10% had first birth order. Mother accompanied nearly half of the vaccinee (49.6%) to the vaccination centre and the most used mode of transportation was the personal vehicle (63%). Mean loss of wages among parents/caretakers was 0.58 (±0.66) USD (median = 0.69; interquartile range (IQR) = 0.69; 95% confidence interval (CI) = 0.42-0.73) while average cost of transportation worn was 0.16 (±0.20) USD (median = 0.07; IQR = 0.21; 95% CI = 0.12-0.19) and mean duration of travelling to reach health facility was 11.87 (±7.53) minutes (median = 10; IQR = 10; 95% CI = 10.53-13.20). Vaccination at the centre was free of cost (zero USD) and no cost was incurred for drugs or registration. Average OPPE was 0.74 (±0.97) USD (median = 0.35; IQR = 0.62; 95% CI = 0.56-0.91) and regression analysis predicted significant contributors as age of vaccinee (p = 0.00; OR = 0.11; 95% CI = 0.04-0.34), religion (p = 0.04; OR = 0.34; 95% CI = 0.12-0.97) area of residence (p = 0.00; OR = 6.77; 95% CI = 2.37-19.32), birth order of vaccinee (p = 0.02; OR = 0.3; 95% CI = 0.11-0.85), longer waiting time (p = 0.03; OR = 0.16; 95% CI = 0.03-0.85), travelling time (p = 0.00; OR = 3.47; 95% CI = 1.49-8.09) and long distances (p = 0.00; OR = 10.40; 95% CI = 2.56-42.03) travelled to reach vaccination centre.

Conclusion: The hidden cost of vaccination in the form of loss of wages and time, travel cost due to stretched distance traveled by family members to accompany vaccinee to immunization facility is experienced as OOPE by the families and could be one of the impediments in vaccination coverage. Amendments in the existing policies are required to reduce this invisible cost of vaccination.

Sexual and reproductive health services in universal health coverage: a review of recent evidence from low- and middle-income countries

If universal health coverage (UHC) cannot be achieved without the sexual and reproductive health (SRH) needs of the population being met, what then is the current situation vis-à-vis universal coverage of SRH services, and the extent to which SRH services have been prioritised in national UHC plans and processes? This was the central question that guided this critical review of more than 200 publications between 2010 and 2019. The findings are the following. The Essential Package of Healthcare Services (EPHS) across many countries excludes several critical SRH services (e.g. safe abortion services, reproductive cancers) that are already poorly available. Inadequate international and domestic public funding of SRH services contributes to a sustained burden of out-of-pocket expenditure (OOPE) and inequities in access to SRH services. Policy and legal barriers, restrictive gender norms and gender-based inequalities challenge the delivery and access to quality SRH services. The evidence is mixed as to whether an expanded role and scope of the private sector improves availability and access to services of underserved populations. As momentum gathers towards SRH and UHC, the following actions are necessary and urgent. Advocacy for greater priority for SRH in government EPHS and health budgets aligned with SRH and UHC goals is needed. Implementation of stable and sustained financing mechanisms that would reduce the proportion of SRH-financing from OOPE is a priority. Evidence, moving from descriptive towards explanatory studies which provide insights into the "hows" and "whys" of processes and pathways are essential for guiding policy and programme actions.

Maternal health situation in Empowered Action Group of states of India: A comparative analysis of state reports from National Family Health Survey (NFHS)-3 and 4

Motherhood is often claimed as the most positive and fulfilling experience. Nevertheless, there exist several women whose motherhood was associated with suffering, ill-health and even death. The condition is graver in few states of India which are socioeconomically backward (also called Empowered Action Group of states). The present study adopted a narrative description of various key indicators of maternal health as outlined in the NFHS-3 and NFHS-4 state reports. The prime focus was to examine whether the performance of those states has got better or worse in these two survey reports. The study has also discussed various factors related to the performance of each key indicator of maternal health. The overall limiting success of maternal health status in these states calls for improvement in execution of various maternal health related activities.

Does choice of health care facility matter? Assessing out-of-pocket expenditure and catastrophic spending on emergency obstetric care in India

The key recommendation of the Child Survival and Safe Motherhood programme was the provision of Emergency Obstetric Care (EmOC) for the prevention of maternal mortality, especially in developing countries like India. The objectives of this paper were three-fold: to examine the socioeconomic differentials in mean out-of-pocket expenditure on EmOC in public and private health care facilities in India; to evaluate the catastrophic health expenditure of households at the threshold levels of 5% and 10%; and finally, to assess the effects of various socioeconomic and demographic covariates on the levels of catastrophic health expenditure on EmOC. Data were extracted from the 71st round of the National Sample Survey Office (NSSO) survey conducted in India between January and June 2014. A stratified multi-stage sampling design was followed to conduct the survey. The information was collected from 65,932 households (rural: 36,480; urban: 29,452) and 33,104 individuals across various states and union territories in India. However, the present study had taken only 1653 sample women who availed EmOC care during the last one year preceding the survey date. Binary logistic regression was applied. Large differences in out-of-pocket expenditure on EmOC were found between private and public health care facilities. Mean annual out-of-pocket expenditure by women in private hospitals was INR 23,309 (US$367), which was about 6 times higher than in public hospitals, where mean spending was INR 3651 (US$58). Furthermore, logistic regression analysis showed a significant association between household socioeconomic status and level of catastrophic health expenditure on EmOC. The odds of catastrophic health expenditure in public health facilities among women from the North region were higher than among those from the Central, South and West regions. Age and level of education significantly influenced the mean level of catastrophic health expenditure. Access to good-quality obstetric care is key to reducing the maternal mortality rate and child deaths, and thus achieving Sustainable Development Goal 3. There is an urgent need for policy interventions to reduce the financial burden of households in accessing obstetric 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.

Determinant of inequality in cesarean delivery in India: A decomposition analysis

In India, Cesarean Section (CS) rate had got doubled in the last decade, with widespread diversity across the population subgroup. Hence, this study examined the pattern, inequality and driving correlates of CS in India. The attributes that shape the inequality in CS were private health facility, followed by the richest economic status, southern region, highest education level. A substantial rise in CS in private sectors and richer section raises the apprehension as to whether commercial motive of private providers contributes to the undue rise in CS that need not necessarily be genuine.

Exploring the determinants of distress health financing in Cambodia

Borrowing is a common coping strategy for households to meet healthcare costs in countries where social health protection is limited or non-existent. Borrowing with interest, hereinafter termed distress health financing or distress financing, can push households into heavy indebtedness and exacerbate the financial consequences of healthcare costs. We investigated distress health financing practices and associated factors among Cambodian households, using primary data from a nationally representative household survey of 5000 households. Multivariate logistic regression was used to determine factors associated with distress health financing. Results showed that 28.1% of households consuming healthcare borrowed to pay for that healthcare with 55% of these subjected to distress financing. The median loan was US$125 (US$200 for loans with interest and US$75 for loans without interest). Approximately 50.6% of healthcare-related loans were to pay for the costs of outpatient care in the past month, 45.8% for inpatient care and 3.6% for preventive care in the past 12 months. While the average period to pay off the loan was 8 months, 78% of households were still indebted from loans taken over 12 months before the survey. Distress financing is strongly associated with household poverty-the poorer the household the more likely it is to borrow, fall into debt and unable to pay off the debt-even for members of the health equity funds, a national scheme designed to improve financial access to health services for the poor. Other determinants of distress financing were household size, use of inpatient care and outpatient consultations with private providers or with both private and public providers. In order to ensure effective financial risk protection, Cambodia should establish a more comprehensive and effective social health protection scheme that provides maximum population coverage and prioritizes services for populations at risk of distress financing, especially poorer and larger households.

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

BACKGROUND

Rising health spending is associated with high out-of-pocket expenditure (OOPE), catastrophic health spending (CHS), increasing poverty, and impoverishment. Though studies have examined poverty and impoverishment effect of health spending in India, there is limited research on the regional patterns of health spending by type of health centers. This paper tests the hypothesis that the poor people from the poorer states of India pay significantly more for hospitalization in public health centers than those in the richer states of India.

METHODS

Data from the Social Consumption of Health Survey (71st round, 2014), carried out by the National Sample Survey (NSS) is used in the analyses. Descriptive statistics, log-linear regression model and tobit model were used to examine the determinants and variations in health spending.

RESULTS

Inter-state variations in the utilization of public health services and the OOPE on hospitalization are high in India. States with high levels of poverty make higher use of the public health centers and yet incur high OOPE. In 2014, the mean OOPE per episode of hospitalization in public health centers in India was ₹5688 and ₹4264 for the economically poor households. It was lowest in the economically developed state of Tamil Nadu and highest in the economically poorer state of Bihar. The OOPE per episode of hospitalization in public health centers among the poor in the poorer states was at least twice that in Tamil Nadu. Among the poor using public health centers, the share of direct cost account 24% in Tamil Nadu compared to over 80% in Bihar, Odisha and other poorer states. Adjusting for socio-economic correlates, the cost of hospitalization per episode (CHPE) among the poor using public health centers was 51% lower than for the non-poor using private health centers in India.

CONCLUSION

The poor people in the poorer states in India pay significantly more to avail hospitalization in public health centers than those in the developed states. Provision of free medicines, surgery and free diagnostic tests in public health centers may reduce the high OOPE and medical poverty in India.

Out-of-pocket expenditure and distress financing on institutional delivery in India

BACKGROUND

Despite large investment in central and state sponsored schemes for maternal care, out-of-pocket expenditure (OOPE) and catastrophic health spending (CHS) on institutional delivery remain high over time, across states and across socio-economic groups. Though many studies have examined the OOPE and CHS, few studies have examined the nature and extent of distress financing on institutional delivery in India.

DATA

Data from the fourth round of National Family Health Survey (NFHS 4), 2015-16 was used for the analysis. Distress financing was defined as borrowing money or selling assets to meet the OOPE on delivery care. Composite variables, descriptive analyses, concentration index (CI), concentration curve (CC) and predicted probability were used to estimate the extent of distress financing for institutional delivery in India.

RESULTS

The OOPE on institutional delivery has strong economic and educational gradient. One in four mothers resorted to borrowing or selling to meet the OOPE on institutional delivery. The extent of distress financing on institutional delivery was high in poorer state of Bihar and Odisha and in the state of Telangana that had highest prevalence of caesarean delivery. Savings was more prevalent among mothers compared to those who met the OOPE by borrowing/selling of assets. Finding are robust across the states of India. The predicted probability of incurring distress financing was 0.31 among mothers belonging to the poorest wealth quintile compared to 0.09 in the richest quintile, and 0.40 for those who incurred OOPE of more than INR 20,000. The probability of incurring distress financing was higher for mothers who had caesarean birth, delivered in private health centers and incurred high OOPE on institutional delivery.

CONCLUSION

Distress financing on institutional delivery was higher among the less educated, poor and in private health centers. Increasing use of public health centers, reducing caesarean births, improving the availability of medicine and diagnostic services can reduce the extent of distress financing in India.

Inequalities in the utilization of maternal health care in the pre- and post-National Health Mission periods in India

Since the implementation of the National Health Mission (NHM) in India there has been a noticeable improvement in the utilization of maternal care, namely antenatal care (ANC), skilled birth attendants (SBA) and postnatal care (PNC) in the country. The increase in utilization of these services is expected to reduce inequality across geographies and population sub-groups, but little is known about the extent of inequality in maternal care use across socioeconomic groups over time. Using data from the last two rounds of National Family Health Surveys conducted in 2005-06 and 2015-16, this study examined the extent of inequality in utilization of full ANC, SBA and PNC in India and its states. Descriptive statistics were used, a concentration index was computed and decomposition analyses performed to understand the pattern and change of inequality in use of maternal care. The results suggest that the gap in maternal care utilization across socioeconomic groups has reduced over time. The concentration index for SBA showed a decline from 0.49 in 2005-06 to 0.08 by 2015-16, while that of PNC declined from 0.36 to 0.13 over the same period. The reduction in inequality in utilization of full PNC was the least. The results of the decomposition analysis revealed that urban residence, education and belonging to Scheduled Caste and Scheduled Tribes positively contributed to the inequality. Based on these findings, it is suggested that the Janani Suraksha Yojana and Janani Sishu Suraksha Karyakaram schemes be continued and strengthened for poor mothers to reduce maternal health inequality, particularly in full ANC and PNC.

Impoverishment and catastrophic expenditures due to out-of-pocket payments for antenatal and delivery care in Yangon Region, Myanmar: a cross-sectional study

OBJECTIVES

(1) To assess the levels of impoverishment and catastrophic expenditure due to out-of-pocket (OOP) payments for antenatal care (ANC) and delivery care in Yangon Region, Myanmar; and (2) to explore the determinants of impoverishment and catastrophic expenditure.

DESIGN, SETTING AND PARTICIPANTS

A community-based cross-sectional survey among women giving birth within the past 12 months in Yangon, Myanmar, was conducted during October to November 2016 using three-stage cluster sampling procedure.

OUTCOME MEASURES

Poverty headcount ratio, normalised poverty gap and catastrophic expenditure incidence due to OOP payments in the utilisation of ANC and delivery care as well as the determinants of impoverishment and catastrophic expenditure.

RESULTS

Of 759 women, OOP payments were made by 75% of the women for ANC and 99.6% for delivery care. The poverty headcount ratios after payments increased to 4.3% among women using the ANC services, to 1.3% among those using delivery care and to 6.1% among those using both ANC and delivery care. The incidences of catastrophic expenditure after payments were found to be 12% for ANC, 9.1% for delivery care and 20.9% for both ANC and delivery care. The determinants of impoverishment and catastrophic expenditure were women's occupation, number of household members, number of ANC visits and utilisation of skilled health personnel and health facilities. The associations of the outcomes with these variables bear both negative and positive signs.

CONCLUSIONS

OOP payments for all ANC and delivery care services are a challenge to women, as one of fifteen women become impoverished and a further one-fifth incur catastrophic expenditures after visiting facilities that offer these services.

Institutional delivery in India, 2004-14: unravelling the equity-enhancing contributions of the public sector

To achieve faster and equitable improvements in maternal and child health outcomes, the government of India launched the National Rural Health Mission in 2005. This paper describes the equity-enhancing role of the public sector in increasing use of institutional delivery care services in India between 2004 and 2014. Information on 24 661 births from nationally representative survey data for 2004 and 2014 is analysed. Concentration index is computed to describe socioeconomic-rank-related relative inequalities in institutional delivery and decomposition is used to assess the contributions of public and private sectors in overall socioeconomic inequality. Multilevel logistic regression is applied to examine the changes in socioeconomic gradient between 2004 and 2014. The analysis finds that utilization of institutional delivery care in India increased from 43% in 2004 to 83% in 2014. The bulk of the increase was in public sector use (21% in 2004 to 53% in 2014) with a modest increase in private sector use (22% in 2004 to 30% in 2014). The shift from a pro-rich to pro-poor distribution of public sector use is confirmed. Decomposition analysis indicates that 51% of these reductions in socioeconomic inequality are associated with improved pro-poor distribution of public sector births. Multilevel logistic regressions confirm the disappearance of a wealth-based gradient in public sector births between 2004 and 2014. We conclude that public health investments in India have significantly contributed towards an equitable increase in the coverage of institutional delivery care. Sustained policy efforts are necessary, however, with an emphasis on education, sociocultural and geographical factors to ensure universal coverage of institutional delivery care services in India.

Geographic Variation in Household and Catastrophic Health Spending in India: Assessing the Relative Importance of Villages, Districts, and States, 2011-2012

Policy Points: Per-capita household health spending was higher in economically developed states and was associated with ability to pay, but catastrophic health spending (CHS) was equally high in both poorer and more developed states in India. Based on multilevel modeling, we found that the largest geographic variation in health spending and CHS was at the state and village levels, reflecting wide inequality in the accessibility to and cost of health care at these levels. Contextual factors at macro and micro political units are important to reduce health spending and CHS in India.

CONTEXT

In India, health care is a local good, and households are the major source of financing it. Earlier studies have examined diverse determinants of health care spending, but no attempt has been made to understand the geographical variation in household and catastrophic health spending. We used multilevel modeling to assess the relative importance of villages, districts, and states to health spending in India.

METHODS

We used data on the health expenditures of 101,576 households collected in the consumption expenditure schedule (68th round) carried out by the National Sample Survey in 2011-2012. We examined 4 dependent variables: per-capita health spending (PHS), per-capita institutional health spending (PIHS), per-capita noninstitutional health spending (PNHS), and catastrophic health spending (CHS). CHS was defined as household health spending exceeding 40% of its capacity to pay. We used multilevel linear regression and logistic models to decompose the variation in each outcome by state, region, district, village, and household levels.

FINDINGS

The average PHS was 1,331 Indian rupees (INR), which varied by state-level economic development. About one-fourth of Indian households incurred CHS, which was equally high in both the economically developed and poorer states. After controlling for household level factors, 77.1% of the total variation in PHS was attributable to households, 10.1% to states, 9.5% to villages, 2.6% to districts, and 0.7% to regions. The pattern in variance partitioning was similar for PNHS. The largest interstate variation was found for CHS (15.9%), while the opposite was true for PIHS (3.2%).

CONCLUSIONS

We observed substantial variations in household health spending at the state and village levels compared with India's districts and regions. The large variation in CHS attributable to states indicates interstate inequality in the accessibility to and cost of health care. Our findings suggest that contextual factors at the macro and micro political units are important to reduce India's household health spending and CHS.

Triple burden of disease and out of pocket healthcare expenditure of women in India

Aim

Women, unlike men, are subjected to triple burden of disease, namely, non-communicable and communicable diseases and reproductive health related diseases. To assess prevalence of triple burden of disease of currently married women and to contrast out of pocket maternal care expenditure of these diseases in India.

Subject and methods

This study uses nationally representative unit level data from the 71st round (2014) of the National Sample Survey Organisation. Descriptive statistics and bivariate analysis are employed to assess triple burden of diseases by background of currently married women. Mean out of pocket (OOP) expenditure for healthcare care by demographic and household characteristics of women are also compared by type of diseases. Two parts model is adopted for assessment of determents of out of pocket healthcare expenditure of women.

Results

Overall medical and non-medical expenses of non–communicable disease are much higher than those of other disease and disability, reproductive health related and communicable diseases. OOP expenditure for treatment of non-communicable diseases, reproductive health and related diseases and other disease and disability are significantly higher than the inpatient treatment of communicable diseases and the differences are statistically significant.

Conclusion

Out of pocket expenditure for treatment of non-communicable diseases is the highest, followed by that of other diseases & disability, then reproductive health related diseases and the least is for communicable diseases. OOP expenditures for maternal healthcare in private health facilities are much higher than in public health facilities regardless of types of disease. Women from households having insurance of any member spent less than that of women from households not having health insurance. There is an urgent need to expand the outreach of the public health system in India to rural areas.