Catastrophic health expenditure of inpatients in emerging economies: evidence from the Indian subcontinent.

BACKGROUND: Catastrophic health expenditures condensed the vital concern of households struggling with notable financial burdens emanating from elevated out-of-pocket healthcare expenditures. In this regard, this study investigated the nature and magnitude of inpatient healthcare expenditure in India. It also explored the incidence and determinants of inpatient catastrophic health expenditure. METHODOLOGY: The study used the micro-level data collected in the 75th Round of the National Sample Survey on 93 925 households in India. Descriptive statistics were used to examine the nature, magnitude and incidence of inpatient healthcare expenditure. The heteroscedastic probit model was applied to explore the determinants of inpatient catastrophic healthcare expenditure. RESULTS: The major part of inpatient healthcare expenditure was composed of bed charges and expenditure on medicines. Moreover, results suggested that Indian households spent 11% of their monthly consumption expenditure on inpatient healthcare and 28% of households were grappling with the complexity of financial burden due to elevated inpatient healthcare. Further, the study explored that bigger households and households having no latrine facilities and no proper waste disposal plans were more vulnerable to facing financial burdens in inpatient healthcare activity. Finally, the result of this study also ensure that households having toilets and safe drinking water facilities reduce the chance of facing catastrophic inpatient health expenditures. CONCLUSIONS: A significant portion of monthly consumption expenditure was spent on inpatient healthcare of households in India. It was also conveyed that inpatient healthcare expenditure was a severe burden for almost one fourth of households in India. Finally, it also clarified the influence of socio-economic conditions and sanitation status of households as having a strong bearing on their inpatient healthcare.

Future health expenditure in the BRICS countries: a forecasting analysis for 2035.

BACKGROUND: Accelerated globalization especially in the late 1980s has provided opportunities for economic progress in the world of emerging economies. The BRICS nations' economies are distinguishable from other emerging economies due to their rate of expansion and sheer size. As a result of their economic prosperity, health spending in the BRICS countries has been increasing. However, health security is still a distant dream in these countries due to low public health spending, lack of pre-paid health coverage, and heavy out-of-pocket spending. There is a need for changing the health expenditure composition to address the challenge of regressive health spending and ensure equitable access to comprehensive healthcare services. OBJECTIVE: Present study examined the health expenditure trend among the BRICS from 2000 to 2019 and made predictions with an emphasis on public, pre-paid, and out-of-pocket expenditures for 2035. METHODS: Health expenditure data for 2000-2019 were taken from the OECD iLibrary database. The exponential smoothing model in R software (ets ()) was used for forecasting. RESULTS: Except for India and Brazil, all of the BRICS countries show a long-term increase in per capita PPP health expenditure. Only India's health expenditure is expected to decrease as a share of GDP after the completion of the SDG years. China accounts for the steepest rise in per capita expenditure until 2035, while Russia is expected to achieve the highest absolute values. CONCLUSION: The BRICS countries have the potential to be important leaders in a variety of social policies such as health. Each BRICS country has set a national pledge to the right to health and is working on health system reforms to achieve universal health coverage (UHC). The estimations of future health expenditures by these emerging market powers should help policymakers decide how to allocate resources to achieve this goal.

Age Group-Wise Burden of Non-Communicable Diseases Among Shrimp Cultivators in India: A Retrospective Analysis of Disability-Adjusted Life Years Method.

OBJECTIVE: Despite generating huge employment opportunities and profitable business, fishing is considered a dangerous occupation due to challenging weather conditions and exposure to unhealthy occupational factors and lifestyles, which contribute to various health issues. However, few studies have examined the health status of shrimp cultivators. Consequently, this study aims to estimate the age group-wise burden of non-communicable diseases (NCDs) among shrimp cultivators. METHODS: Simple random sampling was employed for collecting data. The sample size was 357 shrimp cultivators. Disability-adjusted life years (DALY) and relative risk (RR) methods were used to measure the burden of NCDs among shrimp cultivators. This study reported the burden of NCDs per 100,000 shrimp cultivators. RESULTS: The top five prevalence of NCDs per 100,000 shrimp cultivators were mental disorders (85,434), musculoskeletal diseases (26,325), digestive diseases (9,803), diabetes (5,882), and cardiovascular diseases (4,481). DALY per 100,000 shrimp cultivators was 33,407.59, while at the national level, it was 24,775.99 per 100,000 people across all age groups. The RR of NCDs among shrimp cultivators in terms of DALY was 1.35, indicating a 0.35 times higher burden of NCDs among shrimp cultivators than at the national level. The largest RR of NCDs was found among shrimp cultivators aged 15-49 years (1.85), followed by 50-69 years (1.09). The highest percentage changes in the burden of NCDs among shrimp cultivators, resulting from changes in the methods of estimating DALY, was observed in the age group of 70 years and above (-48.36%) followed by 15-49 years (-46.08%) and 50-69 years (-40.33%) when compared to the baseline method of estimating DALY without utilizing age weightage and discount rate. CONCLUSIONS: Focus should be given to improving the lifestyle and occupational factors of shrimp cultivators to mitigate the burden of NCDs.

Health Hazard Among Shrimp Cultivators in India: A Quantitative Burden of Disease Study.

Background: The lack of focus on the health status of shrimp cultivators by previous studies while the production of shrimp has been rising over the years after the introduction of the blue revolution in India. The present study estimated the burden of diseases among shrimp cultivators in India. Methods: Primary data were collected by using simple random sampling. The sample size was 357. The classification of diseases were made by using the international classification of diseases, tenth revision (ICD-10), version 2019. Disability-adjusted life years (DALY) were used to measure the health status of shrimp cultivators. DALY is the summation of the burden of disease from mortality and morbidity. Sensitive and uncertainty analysis was used by changing the value of the parameter and method, respectively. Results: The burden of disease among shrimp cultivators in 2020 ranges from 101.03 DALY based on equal age weightage, without discount rate, and potential life expectancy (DALY0,0,PLE) to 84.02 DALY based on unequal age weightage, discount rate, and standardized life expectancy (DALY1,0.03,SLE). The burden of disease per 100,000 shrimp cultivators was 28,477.74 DALY and 23,600.84 DALY when calculated by using DALY0,0,PLE and DALY1,0.03,SLE method, respectively. The higher burden of diseases from non-communicable diseases was followed by injury and communicable diseases for both methods. The disease burden from mortality was more than two-thirds of the total burden of disease and the rest from morbidity. The burden of disease among shrimp cultivators was sensitive to parameter changes because it changes between 92.10 DALY and 63.03 DALY with the change in the parameter. Uncertainty in the burden of disease among them was due to method variation, which ranges from 120.03 DALY to 74.06 DALY. Conclusion: The higher burden of non-communicable diseases, and the lower burden of communicable, and injuries per 100,000 shrimp cultivators compared to the national level in India.

Gender and age group-wise inequality in health burden and value of premature death from COVID-19 in India.

Background: Earlier studies have focused on the age-group-wise health burden of COVID-19 while few studies have focused on the gender-wise analysis of the burden of COVID-19. The present study estimated the health burden and value of premature mortality from COVID-19 based on gender and age. Methods: This study was based on secondary data collected from several sources of the government of India. To quantify the health burden, the disability-adjusted life years (DALY) method was used. An abridged life table was used to estimate the fall in life expectancy due to COVID-19. The value of premature mortality was estimated by using the human capital approach. Results: Among COVID-19 cases, 65.08% were males and 34.92% were females. The overall health burden caused by COVID-19 was 19,24,107 DALY in 2020, 43,40,526 DALY in 2021, and 8,08,124 DALY in 2022. The health burden per 1000 males was more than double that per 1000 females. This was due to higher rates of infection and case fatality rate among males compared to females. The age group 60-64 years experienced the highest loss of healthy life years per 1000 people, while the age group 55-59 years had the highest overall loss. Due to additional deaths from COVID-19, life expectancy decreased by 0.24 years in 2020, 0.47 years in 2021, and 0.07 years in 2022. The total value of premature death in the first three years of the COVID-19 pandemic amounted to 15,849.99 crores INR. Conclusion: In India, males and the older population were more susceptible to the impact of COVID-19.

Consequences of India's population aging to its healthcare financing and provision.

OBJECTIVES: To conduct a comprehensive literature review on the state of population aging, healthcare financing, and provision in India. METHODS: To obtain relevant records in the Indian context, multiple publications were searched from databases, such as Scopus, ScienceDirect, Web of Science, Medline/PubMed, JSTOR, and Google Scholar using the following keywords: "Population Ageing," "Population Aging," "Health System," "Demographic Dividend," "Non-communicable Diseases," "Double Burden of Diseases," "Health Spending," "Sustainable Health Financing," and "Health Coverage." Data on different health indices were collected from different websites of the government of India and international organizations (e.g. World Bank, UN, WHO, and Statista). RESULTS: As people live longer, India faces a double burden of disease, with the rising incidence of non-communicable diseases (NCDs) amidst the presence of widespread communicable diseases. The combined problem of the double burden of diseases and population aging poses a severe sustainability challenge for its healthcare financing and the entire health system. Healthcare financing based on progressive taxation and large-scale prepayment coverage is an effective solution for sustaining the health system. However, due to the prevalence of indirect taxes, India's tax system is regressive. Hence, community-based health insurance (CBHI) schemes can be a feasible solution to cover the large mass of poor working in the informal sector. CONCLUSIONS: India needs to address the alterations in its healthcare needs and demands brought on by the advancing demographic shift. To achieve so, the country's healthcare system must be reformed to accommodate strong national policies focusing on universal access to critical care especially geriatric and palliative care.

Contemporary Universal Health Coverage in India - The Case of Federal State of Odisha (Orissa).

Purpose: The present study assessed the awareness of the public about Biju Swasthya Kalyan Yojana (BSKY), which is a flagship public-funded health insurance scheme of the Government of Odisha. The study also identified its determinants and examined utilisation of the scheme among households in Khordha district of Odisha. Materials and Methods: Primary data were collected from randomly chosen 150 households using a pretested structured questionnaire from Balipatana block of Khordha district, Odisha. Descriptive statistics and binomial logistic regression were used to substantiate the objectives. Results: The study found that even though 56.70% of the sample households had heard about BSKY, procedure-specific awareness was low. State government organised BSKY health insurance camp was found to be a major source of knowledge among the sample. The regression model had an R2 of 0.414. The Chi2 value showed that the model with predictor variables was a good fit. Caste, gender, economic category, health insurance, and awareness about insurance were significant determinants of BSKY awareness. A majority (79.30%) of the sample had the scheme card with them. However, only 12.60% of the cardholders used the card and only 10.67% received benefits. Mean out-of-pocket expenditure (OOPE) faced by the beneficiaries is Rs. 15743.59. Among the beneficiaries, 53.80% financed the OOPE from their savings, 38.50% by borrowing, and 7.70% financed the OOPE by both means. Conclusion: The study found that even though majority of people had heard about BSKY, they were not aware of its nature, features, and operational procedures. The trend of low benefit received and higher OOPE among the scheme beneficiaries hampers the economic health of the poor. Finally, the study highlighted the need to increase the magnitude of scheme coverage and administrative efficiency.

Changing patterns of cancer burden among elderly across Indian states: Evidence from the global burden of disease study 1990-2019.

Objective: To investigate the trends and patterns of the cancer burden among the elderly in different regions of India at a subnational level. Methods: Data were extracted from the Global Burden of Disease (GBD) Studies India Compare 2019. Prevalence rate, disability-adjusted life years (DALY), and annual percentage change techniques were used to analyze data. Results: The three age groups with the highest prevalence of cancer were those aged 60-64 years, 65-69 years, and 70-74 years. In 2019, The prevalence of cancer among the elderly ranged from 7048.815 in Karnataka to 5743.040 in Jharkhand. Kerala has the most significant annual percentage change in the cancer prevalence rate of 0.291 between 1990 and 2019. The highest DALY rate was observed among individuals aged 80-84 years in 2019. That year, the DALY rate among the elderly was 8112.283 in India. The top five cancers with higher DALY rates among the elderly in India in 2019 were tracheal, bronchus, and lung cancer (908.473), colon and rectum cancer (752.961), stomach cancer (707.464), breast cancer (597.881), and lip and oral cavity cancer (557.637). Conclusion: Elderly individuals demonstrated a higher vulnerable to cancer compared to other age groups. There is a need for state-specific government intervention to minimize the risk of cancer among the elderly due to the heterogeneity in the burden of cancer across Indian states.