Effect of health insurance program for the poor on out-of-pocket inpatient care cost in India: evidence from a nationally representative cross-sectional survey

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Do patients need additional coverage for chronic ailments? Insights from hospital data

BACKGROUND

Eliminating financial barriers and improving healthcare accessibility pertain to be key elements of the United Nation's sustainable development goals. These have directed health policymakers to advocate private health insurance as a health promotion strategy to enable patients to obtain absolute and affordable medical care when needed. Against this backdrop, the current study investigates the coverage trend and financial risk-protective nature of private health insurance plans.

MATERIALS AND METHOD

We examined 12 months' hospital billing data of private health insurance holders with cancer, cardiac, neurological, and renal diseases. The billing and insurance claim data of 5002 patients were extracted from the billing section of a tertiary care teaching hospital located in southern India from April 2022 through March 2023. Five per cent of patients from each disease condition were selected through proportionate random sampling for analysis (n = 250). The cost incurred and reimbursement trend under various cost heads were investigated by examining the cost incurred by the patient during the hospitalization and comparing it with the amount reimbursed by the insurance company.

RESULTS

The scrutiny exhibits that private health insurance fails to provide comprehensive coverage, resulting in under-insurance among subscribers. Reimbursement received for each cost category is also discussed. To the best of our knowledge, this is the first study that has used institutional data instead of large survey data or patient data.

CONCLUSION

The research concludes by soliciting policymakers, healthcare providers, and insurers to develop strategies to enhance the affordability and accessibility of healthcare to promote health and wellness.

An Examination of Inter-State Variation in Utilization of Healthcare Services, Associated Financial Burden and Inequality: Evidence from Nationally Representative Survey in India

This study examines the health care utilization pattern, associated financial catastrophes, and inequality across Indian states to understand the subnational variations and aid the policy makers in this regard. Data from recent National Sample Survey (2017-2018), titled, "Household Social Consumption: Health," covering 113,823 households, was employed in the study. Descriptive statistics, Erreygers concentration index (CI), and recentered influence function decomposition were applied in the study. We found that, in India, 7 percent of households experienced catastrophic health expenditure (CHE) and 1.9 percent of households were pushed below poverty line due to out-of-pocket expenditure on hospitalization. Notably, outpatient care was more burdensome (CHE: 12.1%; impoverishment: 4%). Substantial interstate variations were observed, with high financial burden in poorer states. Utilization of health care services from private health care providers was pro-rich (hospitalization CI 0.31; outpatient CI 0.10), while the occurrence of CHE incidence was pro-poor (hospitalization CI -0.10; outpatient CI -0.14). Education level, economic status, health insurance, and area of residence contributed significantly to inequalities in utilization of health care services from private providers and financial burden. The high financial burden of seeking health care necessitates the need to increase public health spending and strengthen public health infrastructure. Also, concerted efforts directed towards increasing awareness about health insurance and introducing comprehensive health insurance products (covering both inpatient and outpatient services) are imperative to augment financial risk protection in India.

Impact of socioeconomic status on biologics utilization in rheumatoid arthritis: revealing inequalities and healthcare efficiency

BACKGROUND/AIMS

This cross-sectional study aimed to investigate biologics treatment disparities in rheumatoid arthritis (RA) patients based on socioeconomic status (SES).

METHODS

Data from the KOrean Observational Study Network for Arthritis (KORONA) database were analyzed to assess various factors associated with SES, health behaviors, and biologics use. Logistic regression and structured equation modeling (SEM) were utilized for data analysis.

RESULTS

Among 5,077 RA patients included, 393 (7.7%) patients were identified as biologics users. Within the entire cohort, 31.8% of the participants were in the low-income and low-education groups, and 39.3% of the participants were in the high-income and high-education groups. Despite the patients with low income or low education experienced higher disease activity at diagnosis, had more comorbidities, exhibited higher medication compliance, underwent more check-ups, and had more hospital admissions than their counterparts, the odds of patients with low-income receiving biologics were 34% lower (adjusted odds ratio = 0.76, 95% confidence interval: 0.60-0.96, p = 0.021) after adjustment for demographics and comorbidities. SEM and pathway analyses confirmed the negative impact of low SES on biologics use.

CONCLUSION

The findings suggest that SES plays a significant role in biologics use among RA patients, indicating potential healthcare inefficiencies for low SES patients. Moreover, adverse healthcare habits negatively affect biologics use in RA patients. The study highlights the importance of considering socioeconomic factors while discussing biologics use and promoting equitable access to biologics for optimal RA management.

Cancer Trials Ecosystem in India-Ready for Prime Time?

Executing global clinical trials for cancer is a long, expensive, and complex undertaking. While selecting countries global studies, sponsors must consider several aspects including patient pool, quality of trained investigators, competing trials, availability of infrastructure, and financial investment versus returns. With a large, often treatment-naïve, and diverse patient pool, relatively low cost, good quality health care facilities in urban areas, and a robust and well-trained workforce, India offers several advantages for conducting oncology clinical trials. However, there remains challenges, including a shifting regulatory environment in recent decades. With the implementation of the New Drugs and Clinical Trial Rules in 2019, India's regulatory atmosphere seems to have stabilized. In this article, we present a review of the evolving clinical trial landscape in India, highlight the current regulatory scenario, and discuss the advantages and challenges of selecting India as a potential location for conducting global oncology clinical trials.

Utilisation and barriers of social health protection program among its enrolled population of federally administrative areas, Pakistan

OBJECTIVES

The objective of this research is to analyse the extent of utilisation and identify the barriers faced by individuals in the Federally Administrative Area of Pakistan concerning the Social Health Protection Programme.

METHODS

A cross-sectional study was carried out, enrolling permanent residents from Islamabad, Gilgit-Baltistan and Azad Kashmir. The sampling frame was provided by the Sehat Sahulat Programme (SSP) office in Islamabad, using a simple random sampling method. The study used the 'WHO Health Survey 2002' tool, which is validated, to assess the utilisation and barriers of the Social Health Protection Programme.

RESULTS

The study findings indicated that approximately 12% of the participants used the Social Health Protection Programme, while 6.5% experienced barriers in utilisation. The identified barriers were further classified into seeking (3%), reaching (0.25%) and receiving care (3.25%) barriers. A χ2 test of association revealed significant statistical associations between card utilisation and sociodemographic factors such as age and level of education (p value <0.001). Additionally, statistically significant associations were observed with hospitalisation in the last year, duration and frequency of hospitalisation (p value <0.001). However, no statistically significant association was found between the utilisation of SSP and utilisation barriers.

CONCLUSION

The SSP had a low utilisation ratio due to the fact that half of the enrolled households were satisfied with their health conditions and did not feel the need for hospitalisation.

Social and demographic determinants of health insurance status in India: Evidence from a nationally representative cross-sectional survey

BACKGROUND

Out-of-pocket medical expenses are a crucial metric for assessing how well the healthcare system is working toward obtaining universal health coverage in any country. In India, out-of-pocket expenses for health are relatively high compared to other developed countries due to a lack of alternative finance arrangements. The disparity in out-of-pocket medical expenses largely depends upon the public health expenditure, government policies, and level of health insurance coverage.

MATERIALS AND METHODS

The study used a logit regression model to examine the association of the status of health insurance with socio and demographic variables using National Sample Survey 2018 data. The objective of the study is to analyze the impact of demographic variables on the status of health insurance in India.

RESULTS

This research found that education and occupation have a significant impact on the status of health insurance, among other demographic factors.

CONCLUSION

These findings underscore the importance of targeted policies and interventions aimed at improving access to health insurance among specific demographic groups. Addressing disparities in health insurance coverage based on educational and occupational factors is essential for achieving equitable healthcare access and improved health outcomes in the country. Increasing awareness of health insurance reduces out-of-pocket medical expenses and subsequently brings down economic poverty.

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.

Examining the factors contributing to a reduction in hardship financing among inpatient households in India

In India, the rising double burden of diseases and the low fiscal capacity of the government forces people to resort to hardship financing. This study aimed to examine the factors contributing to the reduction in hardship financing among inpatient households in India. The study relies on two rounds of National Sample Surveys with a sample of 34,478 households from the 71st round (2014) and 56,681 households from the 75th round (2018). We employed multivariable logistic regression and multivariate decomposition analyses to explore the factors associated with hardship financing in Indian households with hospitalized member(s) and assess the contributing factors to the reduction in hardship financing between 2014 and 2018. Notably, though hardship financing for inpatient households has decreased between 2014 and 2018, households with catastrophic health expenditure (CHE) had higher odds of hardship financing than those without CHE. While factors such as CHE, prolonged hospitalization, and private hospitals had impoverishing effects on hardship financing in 2014 and 2018, the decomposition model showed the potential of CHE (32%), length of hospitalization (32%), and private hospitals (24%) to slow down this negative impact over time. The findings showed the potential for further improvements in financial health protection for inpatient care over time, and underscore the need for continuing efforts to strengthen the implementation of public programs and schemes in India such as Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PMJAY).

Do hospitalizations push households into poverty in India: evidence from national data

Introduction

High percentage of OOP (Out-of-Pocket) costs can lead to poverty and exacerbate existing poverty, with 21.9% of India's 1.324 billion people living below the poverty line. Factors such as increased patient cost-sharing, high-deductible health plans, and expensive medications contribute to high OOP costs. Understanding the poverty-inducing impact of healthcare payments is essential for formulating effective measures to alleviate it.

Methods

The study used data from the 75th round of the National Sample Survey Organization (Household Social Consumption in India: Health) from July 2017-June 2018, focusing on demographic-socio-economic characteristics, morbidity status, healthcare utilization, and expenditure. The analysis included 66,237 hospitalized individuals in the last 365 days. Logistic regression model was used to examine the impact of OOP expenditures on impoverishment.

Results

Logistic regression analysis shows that there is 0.2868 lower odds of experiencing poverty due to OOP expenditures in households where there is the presence of at least one child aged 5 years and less present in the household compared to households who do not have any children. There is 0.601 higher odds of experiencing poverty due to OOP expenditures in urban areas compared to households in rural areas. With an increasing duration of stay in the hospital, there is a higher odds of experiencing poverty due to OOP health expenditures. There is 1.9013 higher odds of experiencing poverty due to OOP expenditures if at least one member in the household used private healthcare facility compared to households who never used private healthcare facilities.

Conclusion

In order to transfer demand from private to public hospitals and reduce OOPHE, policymakers should restructure the current inefficient public hospitals. More crucially, there needs to be significant investment in rural areas, where more than 70% of the poorest people reside and who are more vulnerable to OOP expenditures because they lack coping skills.

Magnitude of health expenditure induced removable poverty in India: Some reflections of Ayushman Bharat

The authors have measured the health expenditure-induced removable poverty in India using nationally representative consumer expenditure surveys of three quinquennial rounds conducted by the National Sample Survey Organization (NSSO). This study has also focused on the reflections of Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (AB-PMJAY), the world's largest Government-funded health insurance scheme, on these poverty rates in the country. The study has used headcount, payment gap, and concentration index to measure the economic burden and impoverishment impact of out-of-pocket (OOP) health expenditure. The analysis shows that the incidence and depth of poverty are substantially understated because of overlooking OOP health expenditure in the country's standard poverty measure. Outpatient care contributes almost four times more than inpatient care to health expenditure-induced impoverishment in India, though this care has not been covered in the AB-PMJAY. Muslims, among all religious groups, Scheduled Castes among social groups, and casual labourers among different household types are more vulnerable to OOP health expenditure-induced removable poverty in the country. Poverty, in general, has dropped significantly, but the share of health expenditure-induced poverty in general poverty has increased substantially. It has risen considerably in rural areas and among India's most vulnerable sections of society in the past 20 years. We emphasised that universal health insurance coverage is needed in India. Implementing comprehensive health insurance schemes that cover both inpatient and outpatient care can help alleviate the financial burden of healthcare expenses on households and contribute to reducing poverty rates.

Assessing the Determinants of Compliance with Contribution Payments to the National Health Insurance Scheme among Informal Workers in Indonesia

This study aimed to investigate the determinants of compliance with contribution payments to the National Health Insurance (NHI) scheme among informal workers in Bogor Regency, West Java Province, Indonesia. Surveys of 418 informal workers in Bogor Regency from April to May 2023 were conducted. Multivariate logistic regression analyses were performed to assess the factors associated with informal workers' compliance with NHI contribution payments. The results revealed that being female, having lower secondary education or below, perceiving good health of family members, having negative attitudes toward and poor knowledge of the NHI, experiencing financial difficulties, preferring to visit health facilities other than public ones, and utilizing fewer outpatient services were significantly associated with the noncompliance of informal workers with NHI contribution payments. It was concluded that economic factors alone cannot contribute to informal workers' payment compliance and that motivational factors (knowledge, attitudes toward the insurance system, and self-related health status) also encourage them to comply with contribution payments. Improving people's knowledge, especially on the risk-sharing concept of the NHI, should be done through extensive health insurance education using methods that are appropriate for the population's characteristics.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Alienation from medical care policy, medical care avoidance, and the role of sex and risk perception

BACKGROUND

Medical care avoidance affects individuals' health status. Previous studies on medical care avoidance have mainly focused on medical costs and people's satisfaction with medical services. This study investigates whether an individual's sense of policy alienation toward medical care policy (SPA-M) affects behavioral intention of medical care avoidance, and to what extent an intermediary variable-medical financial risk perception-mediates the relationship between SPA-M and medical care avoidance.

METHODS

A cross-sectional survey was conducted involving 434 people aged 35-59 years from Wuhu, a city in China's Anhui province. A moderated mediation model was constructed to investigate the research question and sex (biological: male and female) was used as a moderating variable between SPA-M and medical financial risk perception.

RESULTS

We found that SPA-M significantly impacted medical care avoidance, and that medical financial risk perception played a complete mediating role in this relationship, while sex moderated the relationship between SPA-M and medical financial risk perception.

CONCLUSION

This study contributes to the literature by enhancing our understanding of the factors that influence behavioral intention regarding medical care avoidance, deepening our understanding of the role of SPA-M in medical care policy, and expanding the role of sex differences in the analysis of the relationship between SPA-M, medical financial risk perception, and medical care avoidance, offering implications for public and community health.

Non-alcoholic Steatohepatitis in Asians: Current Perspectives and Future Directions

Non-alcoholic steatohepatitis (NASH) is a subset of non-alcoholic fatty liver disease (NAFLD), which, apart from excess fat in the liver, may be characterised by some level of inflammatory infiltration and fibrogenesis, occasionally progressing to liver cirrhosis or hepatocellular carcinoma (HCC). The objective of the current review is to elucidate the rising prevalence, the role of microbiome and genetics in pathogenesis, diagnostic challenges, and novel treatment alternatives for NASH. Newer diagnostic techniques are being developed since using liver biopsy in a larger population is not a reasonable option and is primarily restricted to clinical research, at least in developing countries. Besides these technical challenges, another important factor leading to deviation from guideline practice is the lack of health insurance coverage in countries like India. It leads to reluctance on the part of physicians and patients to delay required tests to curb out-of-pocket expenditure. There is no cure for NASH, with liver transplantation remaining the last option for those who progress to end-stage liver disease (ESLD) or are detected with early-stage HCC. Thus, lifestyle modification remains the only viable option for many, but compliance and long-term adherence remain major challenges. In obese individuals, bariatric surgery and weight reduction have shown favourable results. In patients with less severe obesity, endoscopic bariatric metabolic therapies (EBMT) are rapidly emerging as less invasive therapies. However, access and acceptability remain poor for these weight reduction methods. Therefore, intense research is being conducted for potential newer drug classes with several agents currently in phase II or III of clinical development. Some of these have demonstrated promising results, such as a reduction in hepatic fat content, and attenuation of fibrosis with an acceptable tolerability profile in phase II studies. The developments in the management of NASH have been fairly encouraging. Further well-designed long-term prospective studies should be undertaken to generate evidence with definitive results.

Socioeconomic and geographic variation in coverage of health insurance across India

Introduction

In India, regular monitoring of health insurance at district levels (the most essential administrative unit) is important for its effective uptake to contain the high out of pocket health expenditures. Given that the last individual data on health insurance coverage at district levels in India was in 2016, we update the evidence using the latest round of the National Family Health Survey conducted in 2019-2021.

Methods

We use the unit records of households from the latest round (2021) of the nationally representative National Family Health Survey to calculate the weighted percentage (and 95% CI) of households with at least one member covered by any form of health insurance and its types across socio-economic characteristics and geographies of India. Further, we used a random intercept logistic regression to measure the variation in coverage across communities, district and state. Such household level study of coverage is helpful as it represents awareness and outreach for at least one member, which can percolate easily to the entire household with further interventions.

Results

We found that only 2/5th of households in India had insurance coverage for at least one of its members, with vast geographic variation emphasizing need for aggressive expansion. About 15.5% were covered by national schemes, 47.1% by state health scheme, 13.2% by employer provided health insurance, 3.3% had purchased health insurance privately and 25.6% were covered by other health insurance schemes (not covered above). About 30.5% of the total variation in coverage was attributable to state, 2.7% to districts and 9.5% to clusters. Household size, gender, marital status and education of household head show weak gradient for coverage under "any" insurance.

Discussion

Despite substantial increase in population eligible for state sponsored health insurance and rise in private health insurance companies, nearly 60% of families do not have a single person covered under any health insurance scheme. Further, the existing coverage is fragmented, with significant rural/urban and geographic variation within districts. It is essential to consider these disparities and adopt rigorous place-based interventions for improving health insurance coverage.

The impact of universal health coverage and COVID-19 pandemic on out-of-pocket expenses in Thailand: an analysis of household survey from 1994 to 2021

OBJECTIVES

After Thailand achieved Universal Health Coverage (UHC) in 2002, the extent of financial risk protection has not been assessed in the long term, especially after the COVID-19 pandemic. Therefore, this study aims to revisit the impact of UHC on out-of-pocket expenses (OOPE) for health and to descriptively explore the impact of COVID-19 on OOPE.

METHODS

This study was a secondary data analysis and used data from the Socio-Economic Survey from 1994 to 2021 in Thailand. The effect of UHC on the percentage of OOPE in total health expenditures (THE) from 1994 to 2019 was investigated with an interrupted time-series analysis. Descriptive analyses of OOPE in absolute value during the COVID-19 were conducted.

RESULTS

The percentage of OOPE in THE significantly decreased both before (β -2.02%; 95% CI: -2.70% to - 1.33%) and during (β 1.41%; 95% CI: 0.70% to 2.11%) the UHC period. During the pandemic, total household OOPE for medical equipment was found to have rapidly increased from 643 million THB in 2019 to 9.4 billion THB in 2020.

CONCLUSIONS

The trend of providing financial risk protection (measured by OOPE/THE) in Thailand continues until 2019. Providing medical equipment in sufficient and equally accessible manners should be prioritized during the future pandemic.

Biosimilars and interchangeable biosimilars: facts every prescriber, payor, and patient should know. Insulins perspective

INTRODUCTION

For many of the 537 million adults living now with diabetes, the cost of insulin is becoming prohibitive as the insulin prices have tripled between 2002-2013. Globally, the direct annual cost of healthcare expenditure due to diabetes will soon be US$1 Trillion. Biosimilars provide access to high-quality, affordable biologic therapy that is otherwise inaccessible due to the high costs of original biologics.

AREAS COVERED

A primer to the development of biosimilars shows comparable structural and analytical characterization to the original biologics (e.g. insulins), with no clinically significant or meaningful differences in efficacy and safety. 'Interchangeability' status, a regulatory designation by the US FDA, bestowed to some biosimilars, enables confidence in high-quality, bio-equivalent biosimilar of insulin with key global approvals. This can allow rapid uptake of biosimilars by the prescribers, formulary decision-makers, and payors. Biocon-Viatris's biosimilar Insulin Glargine (Semglee®) is the first interchangeable biosimilar insulin approved by the US FDA.

EXPERT OPINION

The 'interchangeable' status can prompt faster and wider uptake of insulin biosimilars and keep the insulin expenditure under control, especially for patients who otherwise practice non-adherence or rationing of life-saving insulin. Education, support, and awareness can ensure that interchangeable biosimilars gain wider acceptance.

Spatial Patterns in the Distribution of Hypertension among Men and Women in India and Its Relationship with Health Insurance Coverage

The present study explores district-level data associated with health insurance coverage (%) and the prevalence of hypertension (mildly, moderately, and severely elevated) observed across men and women as per NFHS 5. Coastal districts in the peninsular region of India and districts in parts of northeastern India have the highest prevalence of elevated blood pressure. Jammu and Kashmir, parts of Gujarat and parts of Rajasthan have a lower prevalence of elevated blood pressure. Intrastate heterogeneity in spatial patterns of elevated blood pressure is mainly seen in central India. The highest burden of elevated blood pressure is in the state of Kerala. Rajasthan is among the states with higher health insurance coverage and a lower prevalence of elevated blood pressure. There is a relatively low positive relationship between health insurance coverage and the prevalence of elevated blood pressure. Health insurance in India generally covers the cost of inpatient care to the exclusion of outpatient care. This might mean that health insurance has limited impact in improving the diagnosis of hypertension. Access to public health centers raises the probability of adults with hypertension receiving treatment with antihypertensives. Access to public health centers has been seen to be especially significant at the poorer end of the economic spectrum. The health and wellness center initiative under Ayushman Bharat will play a crucial role in hypertension control in India.

Diagnostic and Treatment Obstacles in Acute Myeloid Leukemia: Social, Operational, and Financial

Acute myeloid leukemia (AML) can affect individuals of all ages, but is more common in older adults. It has been estimated that AML accounted for 1% of all newly diagnosed cancers in the USA in 2022. The diagnostic process varies depending on the presenting symptoms and the healthcare facility that patients attend at diagnosis. The treatment process is long and prone to complications, requiring experienced medical professionals and appropriate infrastructure. Treatment of the disease did not change greatly over the years until 2017 when targeted therapies were licensed. The treatment of AML is associated with significant direct economic costs. A number of obstacles originating both from individual patients and the healthcare system may be encountered during the diagnosis and treatment of the disease, which may negatively impact the optimal management of the disease process. In this article, we focus primarily on the social, operational, and financial obstacles including the corona virus disease 2019 (COVID-19) pandemic experienced during the diagnosis and treatment of AML.

Does health insurance solve health care utilization puzzle in Tanzania?

OBJECTIVES

The global target of achieving universal health coverage by 2030 is a nightmare in most developing countries. To seek in-depth reasons, this study examines the effects of health insurance on healthcare utilization in Tanzania.

STUDY DESIGN

This study used a non-experimental research design.

METHODS

Probit model, negative binomial regression, and instrumental variable Poisson with generalized method of moments were used to solve the healthcare utilization puzzle by the use of Andersen Health Care Utilization Model by using the Tanzania Panel Survey data of 2020/21.

RESULTS

The findings showed that education level, income, age, residence, household size, insurance, and distance from homestead to health facilities are significant policy intervention factors for improving households' healthcare utilization behavior among households in Tanzania.

CONCLUSION

Prioritize should be made on interventions that ensure the affordability of health services without compromising the quality of services offered and expanding the share of the government budget on health sector.

Equity in the public social healthcare protection in Tanzania: does it matter on household healthcare financing?

Efforts to promote equity in healthcare involve implementing policies and programs that address the root causes of healthcare disparities and promote equal access to care. One such program is the public social healthcare protection schemes. However, like many other developing countries, Tanzania has low health insurance coverage, hindering its efforts to achieve universal health coverage. This study examines the role of equity in public social healthcare protection and its effects on household healthcare financing in Tanzania. The study used secondary data collected from the National Bureau of Statistics' National Panel Survey 2020/21 and stratified households based on their place of residence (rural vs. urban). Moreover, the logit regression model, ordered logit, and the endogenous switching regression model were used to provide counterfactual estimates without selection bias and endogeneity problems. The results showed greater variations in social health protection across rural and urban households, increasing disparities in health outcomes between these areas. Rural residents are the most vulnerable groups. Furthermore, education, income, and direct healthcare costs significantly influence equity in healthcare financing and the ability of households to benefit from public social healthcare protection schemes. To achieve equity in healthcare in rural and urban areas, developing countries need to increase investment in health sector by reducing the cost of healthcare, which will significantly reduce household healthcare financing. Furthermore, the study recommends that social health protection is an essential strategy for improving fair access to quality healthcare by removing differences across households and promoting equality in utilizing healthcare services.

People's Perspective on Out-of-Pocket Expenditure for Healthcare: A Qualitative Study From Pune, India

Background Out-Of-Pocket Expenditure (OOPE) directly reflects the burden of health expenses that households bear. Despite the availability of social security schemes providing healthcare benefits, a high proportion of Indian households are still incurring OOPE. In order to recognize the reasons behind OOPE, a comprehensive understanding of people's attitudes and behavior is needed. Methodology By purposive sampling, 16 in-depth interviews were conducted using an interview guide in the catchment area of urban and rural health centers of a tertiary healthcare hospital. Interviews were conducted in Marathi and Hindi and were audio tape-recorded after taking informed consent. The interviews were transcribed and translated into English, followed by a thematic analysis. Results Although most participants knew that government hospitals provide facilities and experienced doctors, inconvenience and unsatisfactory quality deter them from utilizing government facilities. A few had experiences with government schemes; almost all concur that the formality and procedure of claiming insurance are cumbersome and all have had bad experiences. Cost of medications and consultation accounted for the majority of the healthcare expenditures. While some participants had benefitted from insurance, few regretted not enrolling in one. Conclusion The awareness regarding government schemes was derisory. Government-financed health insurance schemes and their utilization are crucial to reducing OOPE. Efforts should be made to increase accessibility to public healthcare services. Nevertheless, there is potential to redress the barriers to improve scheme utilization.

Expert Consensus Recommendations on Time in Range for Monitoring Glucose Levels in People with Diabetes: An Indian Perspective

Keeping up with the global scenario, diabetes prevalence is on rise in India. Inadequate glycemic control is a major cause of diabetes-related morbidity and mortality. The conventional standards of care (SOC) in diabetes, including self-monitoring of blood glucose and measurement of glycated hemoglobin, have supported achievement of glycemic control, yet there are a few limitations. With the use of current technologies and metrics, such as continuous glucose monitoring (CGM) and standardized CGM data reporting, the continuous real-time glucose levels can be measured, and importantly, the percentage of time above, below, and within the target glucose range can be calculated, which facilitates patient-centric care, a current goal in diabetes management. International consensus recommendations endorse the incorporation of CGM and CGM data reporting in SOC for diabetes management. The guidelines provide time in range (TIR) thresholds for different patient populations and different types of diabetes. However, extrapolation of these global guidelines does not aptly cover the Indian population, which has diverse diet, culture, and religious practices. In this context, a consensus meeting was held in India in 2021 with experts in the field of diabetes care. The purpose of the meeting was to develop consensus recommendations for TIR thresholds for different patient profiles in India. Those expert recommendations, together with an evidence-based review, are reported here. The aim of this agreement is to aid clinicians across India to routinely use CGM and CGM data reports for optimizing individualized diabetes care, by implementing clinical targets for TIR.

Comparative treatment costs of risk-stratified therapy for childhood acute lymphoblastic leukemia in India

BACKGROUND

To evaluate the treatment cost and cost effectiveness of a risk-stratified therapy to treat pediatric acute lymphoblastic leukemia (ALL) in India.

METHODS

The cost of total treatment duration was calculated for a retrospective cohort of ALL children treated at a tertiary care facility. Children were risk stratified into standard (SR), intermediate (IR) and high (HR) for B-cell precursor ALL, and T-ALL. Cost of therapy was obtained from the hospital electronic billing systems and details of outpatient (OP) and inpatient (IP) from electronic medical records. Cost effectiveness was calculated in disability-adjusted life years.

RESULTS

One hundred and forty five patients, SR (50), IR (36), HR (39), and T-ALL (20) were analyzed. Median cost of the entire treatment for SR, IR, HR, and T-ALL was found to be $3900, $5500, $7400, and $8700, respectively, with chemotherapy contributing to 25%-35% of total cost. Out-patient costs were significantly lower for SR (p < 0.0001). OP costs were higher than in-patient costs for SR and IR, while in-patient costs were higher in T-ALL. Costs for non-therapy admissions were significantly higher in HR and T-ALL (p < 0.0001), representing over 50% of costs of in-patient therapy. HR and T-ALL also had longer durations of non-therapy admissions. Based on WHO-CHOICE guidelines, the risk-stratified approach was very cost effective for all categories of patients.

CONCLUSIONS

Risk-stratified approach to treat childhood ALL is very cost-effective for all categories in our setting. The cost for SR and IR patients is significantly reduced through decreased IP admissions for both, chemotherapy and non-chemotherapy reasons.

Ethical Framework to Address Barriers to Healthcare for People with Disabilities in India

Disability is one of the key public health issues in India and the burden will increase given the trend of an aging population. People with disabilities experience greater vulnerability as they may develop secondary health issues. They face various barriers while accessing health services. This is a major ethical concern. In this article, we frame the barriers to healthcare provision to persons with disabilities and propose an ethical framework to address these barriers. This ethical framework is derived from the basic ethical principles of justice, fairness, trust, solidarity, stewardship, proportionality, and responsiveness. The framework proposes strategies to address these barriers to healthcare service delivery for persons with disabilities in India.

Addendum 1: Forum for Injection Technique and Therapy Expert Recommendations, India

With the emerging complexities in chronic diseases and people's lifestyles, healthcare professionals (HCPs) need to update their methods to manage and educate patients with chronic lifestyle disorders, particularly diabetes. The insulin injection technique (IIT), along with various parameters, must also be updated with newer methods. Forum for Injection Technique and Therapy Expert Recommendations (FITTER), India, has updated its recommendations to cover newer ways of detecting hypoglycaemia and lipohypertrophy, preventing needlestick injuries (NSIs), discouraging the reuse of insulin needles and encouraging good disposal. FITTER, India, is also introducing recommendations to calculate insulin bolus dose. These updated recommendations will help HCPs better manage patients with diabetes and achieve improved outcomes.

Poverty, education and health insurance coverage among women of reproductive ages in the Democratic Republic of the Congo: a cross-sectional and multilevel analysis

OBJECTIVE

To investigate inequalities of health insurance coverage (outcome) at subnational level, and the effects of education and poverty on the outcome.

DESIGN

Secondary analysis of Demographic and Health Surveys. The outcome variable was health insurance ownership.

SETTING

The Democratic Republic of the Congo.

SUBJECTS

Women aged 15-49 years (n=18 827).

RESULTS

Findings indicated significant spatial variations of the health insurance ownership which ranged from 1.2% in Bandundu and Kasaï Oriental to 15.5% in Kinshasa the Capital City. Furthermore, findings showed that an additional year of women education increased by 10% the chance of health insurance ownership (adjusted OR, AOR 1.098; 95% CI 1.065 to 1.132). Finally, living in better-off households increased by 150% the chance of owing a health insurance (AOR 2.501; 95% CI 1.620 to 3.860) compared with women living in poor households.

CONCLUSIONS

Given the low levels of health insurance coverage, the Democratic Republic of the Congo will not reach the Sustainable Development Goal 3, aimed at improving maternal and child health unless a serious programmatic health shift is undertaken in the country to tackle inequalities among poor and uneducated women via universal health coverage.

Examining the predictors of healthcare facility choice for outpatient care among older adults in India using Andersen's revised healthcare utilization framework model

BACKGROUND

In India, the demand for outpatient care is substantially higher than inpatient care among older adults. Therefore, the current study examines the level, patterns, and factors associated with outpatient care use.

METHODS

The present research used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017-18). A total of 34,588 older adults (45 years and above) who accessed outpatient healthcare services in one year prior to the survey were included in this study. A bivariate chi-square test was applied to present the percentage distribution of types of outpatient healthcare utilization by background characteristics and healthcare responsiveness. Multinomial logistic regression analyses were employed to explore the interplay of outpatient healthcare utilization and allied predisposing, enabling, and need factors.

RESULTS

About 63.7% of total older adults used a private facility, followed by 22.8% used a public facility, and 13.5% used other facilities. Years of schooling, household wealth status, place of residence, self-rated health, and health insurance were all found to be significant determinants of public or private facility use. In contrast, respondents' sex was found to be a significant determinant of private healthcare use only. The study finds that there was inadequate healthcare reaction to public health facilities.

CONCLUSION

The current study revealed that the use of private facility for outpatient care is noticeably high in India. Older adults' educational attainments, health insurance coverage, and household level economic background were found to be significant factors in healthcare choice. The current study emphasizes the need to strengthen public healthcare services for outpatient care.

Multimorbidity and out-of-pocket expenditure for medicines in China and India

Introduction

Using nationally representative survey data from China and India, this study examined (1) the distribution and patterns of multimorbidity in relation to socioeconomic status and (2) association between multimorbidity and out-of-pocket expenditure (OOPE) for medicines by socioeconomic groups.

Methods

Secondary data analysis of adult population aged 45 years and older from WHO Study on Global Ageing and Adult Health (SAGE) India 2015 (n=7397) and China Health and Retirement Longitudinal Study (CHARLS) 2015 (n=11 570). Log-linear, two-parts, zero-inflated and quantile regression models were performed to assess the association between multimorbidity and OOPE for medicines in both countries. Quantile regression was adopted to assess the observed relationship across OOPE distributions.

Results

Based on 14 (11 self-reported) and 9 (8 self-reported) long-term conditions in the CHARLS and SAGE datasets, respectively, the prevalence of multimorbidity in the adult population aged 45 and older was found to be 63.4% in China and 42.2% in India. Of those with any long-term health condition, 38.6% in China and 20.9% in India had complex multimorbidity. Multimorbidity was significantly associated with higher OOPE for medicines in both countries (p<0.05); an additional physical long-term condition was associated with a 18.8% increase in OOPE for medicine in China (p<0.05) and a 20.9% increase in India (p<0.05). Liver disease was associated with highest increase in OOPE for medicines in China (61.6%) and stroke in India (131.6%). Diabetes had the second largest increase (China: 58.4%, India: 91.6%) in OOPE for medicines in both countries.

Conclusion

Multimorbidity was associated with substantially higher OOPE for medicines in China and India compared with those without multimorbidity. Our findings provide supporting evidence of the need to improve financial protection for populations with an increased burden of chronic diseases in low-income and middle-income countries.

What will the ambitions of primary healthcare be in the 21st century?

This article attempts to analyze the problem of the modernity of primary healthcare, as well as the reforms to be implemented in a new context characterized by COVID-19. This article offers another vision to follow, to build a modern primary healthcare system. It is a descriptive and analytical study, which addresses the failure of the health system in general, as it proposes the reforms necessary to provide equitable, efficient and modern primary healthcare. The results clearly show that we can no longer act unilaterally; multi-sector efforts at the national level should be encouraged: we must act, in a preventive way, on the causes of the disease; international agreements on the environment, prices of basic foods and medicines, etc. are much needed to improve the health status of middle and low income countries, the case of the majority of African countries. So, different solutions can be conveyed by primary healthcare, in order to improve the whole health system.

Indian Outpatients with Idiopathic Chronic Pancreatitis Have Catastrophic Healthcare Expenditure, Malnutrition, Anxiety/Depression and Work-Impairment

INTRODUCTION

There is paucity of data regarding economic burden, employment affection, psychological and nutritional status of CP patients, of non-alcoholic etiology, especially during their periods of stable disease, i.e., without any complications and/or recent endoscopic/surgical interventions.

METHODS

In a prospective cohort study, conducted in outpatient clinic of a tertiary-care hospital, 66 consecutive adults with Idiopathic CP (± diabetes) and 152 matched (by age, socioeconomic status and monthly income) healthy controls were assessed for: (1) healthcare expenses in previous month by recall (catastrophic if > 40% of income); (2) nutritional status by anthropometry and food frequency questionnaire; (3) psychological status by Hospital Anxiety and Depression Scale (HADS); and (4) work-impairment by work productivity and activity impairment questionnaire: general health (WPAI-GH). CP patients were again reassessed for the above parameters after 6 and 12 month, respectively.

RESULTS

Seventy-six percent CP patients (vis-à-vis 0% controls) had catastrophic healthcare expenditure. Forty-nine percent of CP patients(vis-à-vis 0% controls) met their healthcare expenses by either selling assets or obtaining loans at high-interest or from charitable donations. CP patients had lower BMI, were more likely to be malnourished and had a lower calorie intake vis-à-vis controls (median (IQR) recommended daily allowance (RDA): 71(19)% vs 97(23)%; [p < 0.0001]). Their median HADS Anxiety and depression scores were significantly higher than controls. Thirty-one (47%) CP patients were employed vis-a-vis 102 (67%) controls (p = 0.006); they had significantly higher work impairment. After one year, there was improvement in some of these above parameters in CP patients.

CONCLUSION

Idiopathic CP outpatients had catastrophic healthcare expenditure, malnutrition, abnormal psychological scores and work-impairment vis-à-vis healthy controls. Some of these parameters improved on follow-up.

How do patients and physicians perceive immune thrombocytopenia (ITP) as a disease? Results from Indian analysis of ITP World Impact Survey (I-WISh)

Purpose

Immune thrombocytopenia (ITP) is primarily considered a bleeding disorder; its impact on patients’ health-related quality of life (HRQoL) is under-recognized. We aimed to assess how aligned patient and physician perceptions are regarding ITP-associated symptoms, HRQoL, and disease management in India.

Methods

Patients and physicians (hematologists/hemato-oncologists) from India who participated in the global ITP World Impact Survey (I-WISh) were included in this subgroup analysis (survey). Physicians were recruited via a local, third party recruiter in India. In addition to completing a survey themselves, physicians were asked to invite consulting patients on a consecutive basis to complete a survey. All surveys were completely independently by the respondents online in English. The respondents took 30 min to complete the questionnaire. Patients also completed the newly developed ITP Life Quality Index (ILQI) that included 10 questions on the impact of ITP on the following: work or studies, time taken off work or education, ability to concentrate, social life, sex life, energy levels, ability to undertake daily tasks, ability to provide support, hobbies, and capacity to exercise.

Results

A total of 65 patients and 21 physicians were included in this study. Average disease duration from diagnosis-to-survey-completion was 5.3 years. The most severe symptoms reported by patients at diagnosis were menorrhagia (15 of 19 patients [79%]), anxiety surrounding unstable platelet counts (17 of 28 patients [61%]), and fatigue (27 of 46 patients [59%]); these were also the key symptoms they wanted to be resolved. In contrast, physicians perceived petechiae (19 of 21 patients [90%]), bleeding-from-gums (8 of 21 patients [86%]), and purpura (16 of 21 patients [76%]) as the most common symptoms. While the important treatment goals for patients were healthy blood counts (42 of 65 patients [65%]), improved QoL (35 of 65 patients [54%]), and prevention of worsening of ITP (33 of 65 patients [51%]), physicians’ goals were reduction in spontaneous bleeding (17 of 21 physicians [81%]), better QoL (14 of 21 physicians [67%]), and symptom improvement (9 of 21 physicians [43%]). More than half the patients reported that ITP affected their work life/studies, social life, and energy levels, thereby negatively impacting their QoL. Patients were almost entirely dependent on family and friends for support.

Conclusions

This survey highlights the substantial discrepancy in patients’ and physicians’ perceptions regarding ITP-associated symptoms and treatment goals in India. Based on the identified gaps, educating physicians on aspects of ITP beyond bleeding, and highlighting patients’ under-recognized symptoms/needs through support-systems should be prioritized in the future.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41687-022-00429-y.

Health insurance coverage and access to care in China

OBJECTIVE

The study examined the relationship between health insurance coverage and access to needed healthcare including preventive, primary, and tertiary care among Chinese adult population.

DATA AND METHODS

Data for this study came from the 2018 China Health and Retirement Longitudinal Study (CHARLS), a population-based probability sample survey. Key measures included insurance coverage (high-, moderate-, low- and no-insurance), access to care (physical examination, physician visit, office visit, inpatient care, and satisfaction with care), and personal sociodemographics. Multiple-factor generalized linear mixed model was applied to estimate the odds ratio (OR) and the 95% confidence interval (CI) of HI coverage for the four indicators of access to care, after controlling for individual characteristics and aggregation among different villages.

RESULTS

The majority of Chinese adults had some health insurance with only 3.15% uninsured. However, most had low-coverage insurance (64.82%), followed by moderate-coverage insurance (16.70%), and high-coverage insurance (15.33%). Health insurance was significantly and positively associated with access to needed healthcare (preventive, primary, and tertiary). There was also a significant gradient association between extent of insurance coverage and access to care.

CONCLUSION

Not only health insurance mattered in enhancing access to care but that there was a significant gradient association between extent of insurance coverage and access to care with higher coverage relating to better access.

Hypertension awareness, treatment, and control and their association with healthcare access in the middle-aged and older Indian population: A nationwide cohort study

BACKGROUND

Hypertension is the most important cardiovascular risk factor in India, and representative studies of middle-aged and older Indian adults have been lacking. Our objectives were to estimate the proportions of hypertensive adults who had been diagnosed, took antihypertensive medication, and achieved control in the middle-aged and older Indian population and to investigate the association between access to healthcare and hypertension management.

METHODS AND FINDINGS

We designed a nationally representative cohort study of the middle-aged and older Indian population, the Longitudinal Aging Study in India (LASI), and analyzed data from the 2017-2019 baseline wave (N = 72,262) and the 2010 pilot wave (N = 1,683). Hypertension was defined as self-reported physician diagnosis or elevated blood pressure (BP) on measurement, defined as systolic BP ≥ 140 mm Hg or diastolic BP ≥ 90 mm Hg. Among hypertensive individuals, awareness, treatment, and control were defined based on self-reports of having been diagnosed, taking antihypertensive medication, and not having elevated BP, respectively. The estimated prevalence of hypertension for the Indian population aged 45 years and older was 45.9% (95% CI 45.4%-46.5%). Among hypertensive individuals, 55.7% (95% CI 54.9%-56.5%) had been diagnosed, 38.9% (95% CI 38.1%-39.6%) took antihypertensive medication, and 31.7% (95% CI 31.0%-32.4%) achieved BP control. In multivariable logistic regression models, access to public healthcare was a key predictor of hypertension treatment (odds ratio [OR] = 1.35, 95% CI 1.14-1.60, p = 0.001), especially in the most economically disadvantaged group (OR of the interaction for middle economic status = 0.76, 95% CI 0.61-0.94, p = 0.013; OR of the interaction for high economic status = 0.84, 95% CI 0.68-1.05, p = 0.124). Having health insurance was not associated with improved hypertension awareness among those with low economic status (OR = 0.96, 95% CI 0.86-1.07, p = 0.437) and those with middle economic status (OR of the interaction = 1.15, 95% CI 1.00-1.33, p = 0.051), but it was among those with high economic status (OR of the interaction = 1.28, 95% CI 1.10-1.48, p = 0.001). Comparing hypertension awareness, treatment, and control rates in the 4 pilot states, we found statistically significant (p < 0.001) improvement in hypertension management from 2010 to 2017-2019. The limitations of this study include the pilot sample being relatively small and that it recruited from only 4 states.

CONCLUSIONS

Although considerable variations in hypertension diagnosis, treatment, and control exist across different sociodemographic groups and geographic areas, reducing uncontrolled hypertension remains a public health priority in India. Access to healthcare is closely tied to both hypertension diagnosis and treatment.

Predictors of prolonged hospitalization after vaginal birth in Ghana: A comparative study

Early discharge after child delivery although indispensable, but maybe precluded by several factors. The effect of these factors on prolonged length of stay (LOS) after vaginal delivery has been sparsely investigated in Ghana. This limits understanding of potential leading indicators to inform intervention efforts and optimize health care delivery. This study examined factors associated with prolonged LOS after vaginal birth in two time-separated cohorts in Ghana. We analyzed data from Ghana's demographic and health surveys in 2007 and 2017. Our comparative analysis is based on subsamples in 2007 cohort (n = 2,486) and 2017 cohort (n = 8,065). A generalized estimating equation (GEE) with logistic regression was used to examine predictors of prolonged LOS after vaginal delivery. The cluster effect was accounted for using the exchangeable working correlation. The odds ratios (OR) and 95% confidence interval were reported. We found that 62.4% (1551) of the participants in 2007 had prolonged LOS after vaginal delivery, whereas the prevalence of LOS in the 2017 cohorts was 44.9% (3617). This constitutes a 17.5% decrease over the past decade investigated. Advanced maternal age (AOR = 1.24, 95% Cl 1.01-1.54), place of delivery (AOR = 1.18, 95% Cl 1.02-1.37), child's size below average (AOR = 1.14; 95% Cl 1.03-1.25), and problems suffered during/after delivery (AOR = 1.60; 95% Cl 1.43-1.80) were significantly associated with prolonged (≥ 24 hours) length of hospitalization after vaginal delivery in 2017. However, among variables that were available in 2007, only those who sought delivery assistance from non-health professionals (AOR = 1.89, 95% CI: 1.00-3.61) were significantly associated with prolonged LOS in the 2007 cohort. Our study provides suggestive evidence of a reduction in prolonged LOS between the two-time points. Despite the reduction observed, more intervention targeting the identified predictors of LOS is urgently needed to further reduce post-vaginal delivery hospital stay. Also, given that LOS is an important indicator of medical services use, an accurate understanding of its prevalence and associated predictors are useful in assessing the efficiency of hospital management practices and the quality of care of patients in Ghana.

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

OBJECTIVE

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

DESIGN

Systematic review.

DATA SOURCES

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

ELIGIBILITY CRITERIA

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

DATA EXTRACTION AND SYNTHESIS

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

OUTCOMES

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

RESULTS

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

CONCLUSION

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

REGISTRATION

Not registered.

Financial toxicity in cancer care in India: a systematic review

Although financial toxicity is widely acknowledged to be a potential consequence of costly cancer treatment, little is known about its prevalence and outcome among the Indian population. In this study, we systematically reviewed the prevalence, determinants, and consequences of financial toxicity among patients with cancer in India. 22 studies were included in the systematic review. The determinants of financial toxicity include household income, type of health-care facility used, stage of disease, area of residence, age at the time of diagnosis, recurrent cancer, educational status, insurance coverage, and treatment modality. Financial toxicity was associated with poor quality of life, accumulation of debts, premature entry into the labour market, and non-compliance with therapy. Our findings emphasise the need for urgent strategies to mitigate financial toxicity among patients with cancer in India, especially in the most deprived sections of society. The qualitative evidence synthesised in this systematic review could provide a basis for the development of such interventions to reduce financial toxicity among patients with cancer.

Strategies for reducing out of pocket payments in the health system: a scoping review

Background

Direct out-of-pocket payments (OOP) are among the most important financing mechanisms in many health systems, especially in developing countries, adversely affecting equality and leading vulnerable groups to poverty. Therefore, this scoping review study was conducted to identify the strategies involving OOP reduction in health systems.

Methods

Articles published in English on strategies related to out-of-pocket payments were Searched and retrieved in the Web of Science, Scopus, PubMed, and Embase databases between January 2000 and November 2020, following PRISMA guidelines. As a result, 3710 papers were retrieved initially, and 40 were selected for full-text assessment.

Results

Out of 40 papers included, 22 (55%) and 18 (45%) of the study were conducted in developing and developed countries, respectively. The strategies were divided into four categories based on health system functions: health system stewardship, creating resources, health financing mechanisms, and delivering health services.As well, developing and developed countries applied different types of strategies to reduce OOP.

Conclusion

The present review identified some strategies that affect the OOP payments According to the health system functions framework. Considering the importance of stewardship, creating resources, the health financing mechanisms, and delivering health services in reducing OOP, this study could help policymakers make better decisions for reducing OOP expenditures.

Patient Expectations From Consultation and Treatment of Spine Pain in a Private Spine Rehabilitation Clinic in Urban India

Despite high prevalence of spine pain among the Indian population, patient expectations regarding consultation and its treatment are unknown. We aimed to determine consultation and treatment expectations among patients visiting a spine rehabilitation clinic in urban India. We included 194 consecutive patients who completed a consultation expectation (CE) and treatment outcome expectation (OE) questionnaires and the Patient-Centered Outcome Questionnaire (PCOQ). To learn about the most suitable treatment for their problem (98%), and to know what kind of activities they could do and should avoid (96%) were the most important CEs, and to achieve complete relief of symptoms (96%), and prevent recurrence of pain (95%) were the most important OEs. For successful treatment, patients expected PCOQ pain levels of 2.0 (96.5% reduction) and interference levels of 1.5 (96% reduction). Patients expected to know the most suitable treatment, activities they could do and avoid after consultation, and to achieve complete relief of symptoms and prevent recurrence after treatment. Incorporating and addressing these expectations may help improve outcomes and satisfaction with the consultation and treatment of spine pain.

Health Insurance and Out-Of-Pocket Expenditure on Health and Medicine: Heterogeneities along Income

Background: Achieving universal health coverage is an important objective enshrined in the 2015 global Sustainable Development Goals. However, the rising cost of healthcare remains an obstacle to the attainment of the universal health coverage. Health insurance is considered an option to reduce out-of-pocket (OOP) expenditure on health and medicine. Nevertheless, the relationship between insurance and the OOP along welfare distributions is not well understood. This study investigates the heterogeneous association between health insurance and OOP expenditure on health and medicine, along income, using data from the Kingdom of Saudi Arabia. Methods: This study used data of 8655 individuals drawn from the Saudi Family Health Survey conducted in 2018. The study adopts Tobit models to account for possible corner solution due to individuals with zero expenditure on health. We minimize the confounding effects of non-random selection into the insurance program by estimating the Tobit equations on a sample weighted by inverse propensity scores of insurance participation. In addition, we test whether the health insurance differently relates to OOP on health and medicine amongst people with access to free medical care as opposed to those without this privilege. The study estimates separate models for OOP expenditure on health and on medicines. Results: Health insurance reduces OOP expenditure on health by 2.0% and OOP expenditure on medicine by 2.4% amongst the general population while increasing the OOP expenditure on health by 0.2% and OOP expenditure on medicine by 0.2%, once income of the insured rises. The relationship between the insurance and OOP expenditure is robust only amongst the citizens, a sub-sample that also has access to free public healthcare. Specifically, the insurance reduces OOP expenditure on health by 3.6% and OOP on medicine by 5.2% and increases OOP expenditure on health by 0.4% and OOP expenditure on medicine by 0.5% once income of the insured increases amongst Saudi citizens. In addition, targeting medicines can lead to greater changes in OOP. The relationship between insurance and OOP is stronger for medicine relative to that observed on health expenditure. Conclusion: Our findings suggest that insurance induces different effects along the income spectrum. Hence, policy needs to be aware of the possible welfare distribution impacts of upscaling or downscaling the coverage of insurance amongst the populations, while pursuing universal healthcare coverage.