Getting the right tail right: Modeling tails of health expenditure distributions.

Health expenditure data almost always include extreme values, implying that the underlying distribution has heavy tails. This may result in infinite variances as well as higher-order moments and bias the commonly used least squares methods. To accommodate extreme values, we propose an estimation method that recovers the right tail of health expenditure distributions. It extends the popular two-part model to develop a novel three-part model. We apply the proposed method to claims data from one of the biggest German private health insurers. Our findings show that the estimated age gradient in health care spending differs substantially from the standard least squares method.

Estimating the out-of-pocket health expenditure in patients under 5 years with severe malnutrition in Afghanistan in 2023: Findings from a cross-sectional study.

Introduction: This study, of significant importance to healthcare professionals, policymakers, researchers, and organizations involved in child healthcare and malnutrition in Afghanistan, aimed to estimate the out-of-pocket expenditure (OOPE) in patients under 5 years old with severe malnutrition in a children's hospital in Herat Province, Afghanistan. Method: This study employed a meticulously designed cross-sectional descriptive-analytical approach with practical results. The research population consisted of families with malnourished children under 5 who were referred to Herat Children's Hospital. Data was collected using a comprehensive standard World Health Organization questionnaire to gather demographic information from children in Herat. A carefully selected convenience sampling method was used, with 300 referring patients participating in face-to-face interviews with the supervisors of these children. After obtaining personal consent and coordinating with health officials, interviews were conducted with the caregivers of children under 5 who suffered from severe malnutrition. The data was then analyzed using robust descriptive statistics, quantitative variables, mean and standard deviation, frequency, and relative frequency. Multiple regression analysis was used to determine the factors that most influenced direct payments from patients' pockets, ensuring the reliability and validity of the findings. Results: The results showed that OOPE in both households with seven and less than seven people and more than seven people was 68%. The findings indicated that among the residents of Herat referred to the studied hospital, these people spent 54% of the treatment costs directly out of pocket. In contrast, people in the rural areas of Herat pay 69% of the treatment costs to receive medical services straight out of pocket. The critical point is that 93% of the families have incurred catastrophic expenses to treat their children suffering from severe malnutrition. The research revealed that the patient's location and the education level of the head of the household were the most significant factors affecting out-of-pocket payments by patients. Conclusion: Increasing OOPE in rural Afghanistan poses a significant obstacle to equitable healthcare services and access to appropriate medicines. To support the goal of universal healthcare coverage, geographic imbalances, and broad health financing options must be addressed. Strengthening insurance coverage and more government assistance can significantly reduce these patients' out-of-pocket payments.

Comparative Interrupted Time Series Analysis of Medical Expenses in Patients with Intertrochanteric Fracture Who Underwent Internal Fixation and Hemiarthroplasty.

Purpose: The objective of this study was to assess postoperative direct medical expenses and medical utilization of elderly patients who underwent either hemiarthroplasty (HA) or internal fixation (IF) for treatment of a femoral intertrochanteric fracture and to analyze differences according to surgical methods and age groups. Materials and Methods: Data from the 2011 to 2018 Korean National Health Insurance Review & Assessment Service database were used. Risk-set matching was performed for selection of controls representing patients with the same sex, age, and year of surgery. A comparative interrupted time series analysis was performed for evaluation of differences in medical expenses and utilization between the two groups. Results: A total of 10,405 patients who underwent IF surgery and 10,405 control patients who underwent HA surgery were included. Medical expenses were 18% lower in the IF group compared to the HA group during the first year after the fracture (difference-in-difference [DID] estimate ratio 0.82, 95% confidence interval [CI] 0.77-0.87, P<0.001), and 9% lower in the second year (DID estimate ratio 0.91, 95% CI 0.85-0.99, P=0.018). Length of hospital stay was significantly shorter in the IF group compared to the HA group during the first two years after time zero in the age ≥80 group. Conclusion: A noticeable increase in medical expenses was observed for patients who underwent HA for treatment of intertrochanteric fractures compared to those who underwent IF over a two-year period after surgery. Therefore, consideration of such findings is critical when designing healthcare policy support for management of intertrochanteric fractures.

The impact of the expanded health insurance coverage policy on healthcare spending: evidence from Korea.

BACKGROUND: South Korea's National Health Insurance (NHI) system pursues universal health coverage, but it has not been able to alleviate patients' financial burden owing to limited coverage and a high proportion of out-of-pocket expenses. In 2017, the government announced a plan to strengthen universality by providing coverage for all unincluded services, expanding coverage, and alleviating household financial burden. We aimed to evaluate the effect of "Moon Care" with a focus on changes in health expenditures following policy implementation, and to provide empirical evidence for future policies to strengthen the NHI system's universality. METHODS: Using data from the 2016 and 2018 Korea Health Panel (KHP), we established a treatment group affected by the policy and an unaffected control group; we ensured homogeneity between the groups using propensity score matching (PSM). Subsequently, we examined changes in NHI payments, non-payments, and out-of-pocket payments (OOP); we performed difference-in-differences (DID) analysis to evaluate the policy's effect. RESULTS: Following policy implementation, the control group had a higher increase than the treatment group in all categories of health expenditures, including NHI payments, non-payments, and OOP. We noted significant decreases in all three categories of health expenditures when comparing the differences before and after policy implementation, as well as between the treatment and control groups. However, we witnessed a significant decrease in the interaction term, which confirms the policy's effect, but only for non-payments. CONCLUSIONS: We observed the policy's intervention effect over time as a decrease in non-payments, on the effectivity of remunerating covered medical services. However, the policy did not work for NHI payments and OOP, suggesting that it failed to control the creation of new non-covered services as noncovered services were converted into covered ones. Thus, it is crucial to discuss the financial spending of health insurance regarding the inclusion of non-covered services in the NHI benefits package.

Eco-friendly revenues for healthcare: assessing the relationship between green taxation, public health expenditures, and life expectancy in China.

Introduction: The synergy of green taxation, public health expenditures, and life expectancy emerges as a compelling narrative in the intricate symphony of environmental responsibility and public well-being. Therefore, this study examine the impact of green taxation on life expectancy and the moderating role of public health expenditure on the said nexus, particularly in the context of China, an emerging economy. Methods: Statistical data is collected from the National Bureau of Statistics of China to empirically examine the proposed relationships. The dataset contains provincial data across years. Results: Using fixed-effect and system GMM regression models alongwith control variables, the results found a positive and statistically significant influence of green taxation on life expectancy. Moreover, public health expenditures have a positive and statistically significant partial moderating impact on the direct relationship. Discussion: These findings suggest that the higher cost of pollution encourages individuals and businesses to shift to less environmentally harmful alternatives, subsequently improving public health. Moreover, government investment in the health sector increases the availability and accessibility of health facilities; thus, the positive impact of green taxation on public health gets more pronounced. The findings significantly contribute to the fields of environmental and health economics and provide a new avenue of research for the academic community and policymakers.

[Main characteristics and historical evolution of China' s health financing transition].

OBJECTIVE: To comprehend the main characteristics and historical evolution of health financing transition in China. METHODS: Data were collected from various sources, including the Global Health Expenditure Database (GHED), China Health Statistics Yearbook, National Health Finance Annual Report, China ' s Total Health Expenditure Research Report, et al. Descriptive statistics and literature study was conducted. RESULTS: Since the beginning of the 21st century, most countries in the world had witnessed a transition of health financing, characterized by the expansion of health financing scale and the strengthening of public financing responsibility. Notably, China ' s health financing transition exhibited distinctive features. Firstly, there had been a more rapid expansion in health financing scale compared with global averages. Between 2000 and 2019, total health expenditure per capita experienced a remarkable increase of 816.6% at comparable prices, significantly surpassing average growth rates observed among other countries worldwide (102.1%). Secondly, greater efforts had been made to strengthen the responsibilities of public financing. From 2000 to 2019, there was a substantial decrease of 30.6 percentage points in the proportion of out-of-pocket health expenditure as a share of total health expenditure. This decline was significantly larger than the average reduction observed among other countries worldwide (5.6 percentage points). Thirdly, there had been a significant shift in government health expenditure allocation patterns, with an increased emphasis on "demand-side subsidies" surpassing "supply-side subsidies". Within the realm of "supply-side subsidies", funding directed towards hospitals had notably increased and surpassed that allocated to primary healthcare institutions and public health institutions. Based on these distinctive characteristics, this paper expanded China ' s health financing transition into three dimensions: Scale dimension, structure dimension and flow dimension. Using a comprehensive analytical framework, the history of China ' s health financing transition was roughly divided into four stages: The planned economy stage, the economic transition stage, the post-SARS stage and the new health system reform stage. The main features and evolutionary logic associated with each stage were analyzed. CONCLUSION: Above all, the health financing system should be enhanced in terms of vertical "embeddedness" and horizontal "complementarity". Moreover, the significance of health financing transition in preserving hidden value and mitigating public risk should be emphasized, and there is a need for an improved two-way trade-off mechanism that balances value and risk. Additionally, the ethical principles associated with health financing transition should be considered comprehensively, while optimizing budget decision-making within the government ' s actual governance model. Lastly, it is crucial to recognize the overall and profound impact of modern medicine development and explore long-term strategies and pathways for health financing transition in China.

Financial Toxicity in Relation to Childbirth.

OBJECTIVE: To measure change in financial toxicity from pregnancy to the postpartum period and to identify factors associated with this change. DESIGN: Longitudinal survey. SETTING: Obstetric clinics at an academic medical center in Massachusetts between May 2020 and May 2022. PARTICIPANTS: Obstetric patients who were 18 years of age or older (N = 242). METHODS: Respondents completed surveys that included the COmprehensive Score for financial Toxicity tool during pregnancy and in the postpartum period. We collected additional medical record data, including gestational age, birth weight, and cesarean birth. We used paired t tests to assess changes in financial toxicity before and after childbirth and one-way analysis of variance to compare average change in financial toxicity by demographic and medical variables. RESULTS: The mean current financial toxicity score was significantly lower after childbirth (M = 19.0, SD = 4.6) than during pregnancy (M = 21.8, SD = 5.4), t(241) = 13.31, p < .001. Concern for future financial toxicity was not significantly different after childbirth (M = 8.5, SD = 2.9) compared to during pregnancy (M = 8.2, SD = 3.0), t(241) = -1.80, p = .07. Individual-level sociodemographic variables (e.g., racial/ethnic category, insurance, employment) and medical factors (e.g., cesarean birth, preterm birth) were not associated with change in financial toxicity. CONCLUSION: Among respondents, financial toxicity worsened after childbirth, and patients are at risk regardless of their individual socioeconomic and medical conditions.

Inequalities in Out-of-Pocket Health Expenditure Measured Using Financing Incidence Analysis (FIA): A Systematic Review.

Government efforts and reforms in health financing systems in various countries are aimed at achieving universal health coverage. Household spending on healthcare plays a very important role in achieving this goal. The aim of this systematic review was to assess out-of-pocket health expenditure inequalities measured by the FIA across different territories, in the context of achieving UHC by 2030. A comprehensive systematic search was conducted in the PubMed, Scopus, and Web of Science databases to identify original quantitative and mixed-method studies published in the English language between 2016 and 2022. A total of 336 articles were initially identified, and after the screening process, 15 articles were included in the systematic review, following the removal of duplicates and articles not meeting the inclusion criteria. Despite the overall regressivity, insurance systems have generally improved population coverage and reduced inequality in out-of-pocket health expenditures among the employed population, but regional studies highlight the importance of examining the situation at a micro level. The results of the study provide further evidence supporting the notion that healthcare financing systems relying less on public funding and direct tax financing and more on private payments are associated with a higher prevalence of catastrophic health expenditures and demonstrate a more regressive pattern in terms of healthcare financing, highlighting the need for policy interventions to address these inequities. Governments face significant challenges in achieving universal health coverage due to inequalities experienced by financially vulnerable populations, including high out-of-pocket payments for pharmaceutical goods, informal charges, and regional disparities in healthcare financing administration.

The value-for money of preventing and managing periodontitis: Opportunities and challenges.

This article gives an overview of the societal and economic aspects of periodontitis and periodontal care. Despite its largely preventable nature, periodontitis is highly prevalent worldwide and imposes a substantial health and economic burden on individuals and society as a whole. The worldwide estimated direct treatment costs and productivity losses due to periodontitis (including for periodontitis-related tooth loss) amounted to US$ 186 billion and US$ 142 billion in 2019, respectively. The burden of periodontitis is particularly evident in low and disadvantaged populations. Smoking, dietary habits, and presence of systemic diseases along with social and commercial determinants are considered as risk factors for the periodontal diseases. The cost-effectiveness of preventing and managing periodontitis has been explored in several studies but it has been highlighted that there is scope for improvement in defining the methodology and quality of reporting of such studies. A recent report by The Economist Intelligence Unit examined the cost-effectiveness of interventions to prevent and manage periodontal diseases, suggesting that prevention of periodontitis through prevention of gingivitis by means of individual home care would be more cost-efficient than four other examined approaches. Future research in this field is recommended to further decipher the economic burden of periodontitis to society and to assess the value for money of alternative approaches to address periodontitis with particular emphasis on public health preventive strategies and intersectoral care approaches that address the common risk factors of periodontitis and other non-communicable diseases simultaneously.

Analyzing the impact of fiscal conditions on private health expenditures in OECD countries: a quantile ARDL investigation.

Organization for Economic Co-operation and Development (OECD) countries have embraced the aim of universal health coverage, as established in Sustainable Development Goal (SDG) 3.8. This goal guarantees access to quality healthcare services without financial hardship or poverty. Additionally, it requires correct and adequate financing sources. A country with weak protection for its population tends to spend less on healthcare and experiences a high share of out-of-pocket payments (OOPs), increasing the likelihood of people falling into poverty. This study aims to understand the relationship and causal effects between macroeconomic and public fiscal conditions and private health expenditure in OECD countries between 1995 and 2019. We retrieved OECD data for 26 OECD countries for the period 1995-2019. Panel AutoRegressive Distributed Lag (PARDL) and panel quantile AutoRegressive Distributed Lag (PQARDL) models were estimated to examine the relationship between private health expenditures and macroeconomic and public fiscal variables. Our results reveal a positive influence of government debt and economic freedom on private health expenditures. They also show a negative influence of the government budget balance, government health expenditures, and economic growth on private health expenditures. These results collectively suggest that public fiscal conditions will likely impact private health expenditures. The findings of this study raise concerns about the equity and financial protection objectives of universal health coverage in OECD countries.

The effectiveness of cell salvage in extracorporeal circulation surgeries in relation to use of health resources after use: A systematic review and meta-analysis.

Background: Alternatives to allogeneic blood transfusions are sought for resource management reasons and it is necessary to investigate the efficiency and efficacy on Cell Salvage use. The objective of this study is to analyze the effectiveness of the Cell Salvage system in addressing factors related to healthcare service utilization that may lead to increased healthcare expenditure. Methods: A systematic review with meta-analysis was conducted through literature search in Medline, CINAHL, Scopus, Web of Science, and Cochrane Library. Inclusion criteria were studies in English/Spanish, without year restriction and Randomized Controlled Trials design, conducted in adults. Results: Twenty-six studies were included in the systematic review, involving a total of 4781 patients (nexperimental group = 2365; ncontrol group = 2416). Significant differences favored the Cell Salvage system in units of transfused Red Blood Cells, in terms of units (p = 0.04; SMD = -0.42 95 % CI = -0.83 to -0.02) and individuals (p = 0.001; RR = 0.71, 95 % CI = 0.60 to 0.84) transfused. No significant differences were found in ICU (p = 0.93) and hospital stay duration (p = 0.21), number of reoperations (p = 0.68), and number of units and individuals transfused in terms of platelets (p > 0.05). Conclusions: Cell Salvage use holds high potential for reducing healthcare costs and indirectly contributing to improving blood and blood product reserves within blood banks. Results obtained thus far do not provide definitive evidence regarding the duration of hospital stay, ICU stay, need for reoperation, or the quantity of transfused platelets. Therefore, it is recommended to increase the number of studies to assess the impact on the economic models of the Cell Salvage system.

Analysis of medical impoverishment and its influencing factors among China's rural near-poor, 2016-2020.

Objective: This study investigates the determinants of medical impoverishment among China's rural near-poor, aiming to enhance public health services and establish preventative and monitoring systems. Methods: Using China Family Panel Studies and World Bank methods, we categorized rural populations and calculated their 2020 Poverty Incidence (PI) and Poverty Gap (PG), with impoverishing health expenditures (IHE) as the primary indicator. We analyzed the data from 2016 to 2020 using a conditional fixed-effects multinomial logit model and 2020 logistic regression to identify factors influencing medical impoverishment risk. Results: (1) In 2020, the near-poor in China faced a PI of 16.65% post-health expenditures, 8.63 times greater than the non-poor's PI of 1.93%. The near-poor's Average Poverty Gap (APG) was CNY 1,920.67, notably surpassing the non-poor's figure of CNY 485.58. Health expenses disproportionately affected low-income groups, with the near-poor more prone to medical impoverishment. (2) Disparities in medical impoverishment between different economic household statuses were significant (P < 0.001), with the near-poor being particularly vulnerable. (3) For rural near-poor households in China, those with over six members faced a lower risk of medical impoverishment compared to those with three or fewer. Unmarried individuals had a 7.1% reduced risk of medical impoverishment relative to married/cohabiting counterparts. Unemployment was associated with a 9% increased risk. A better self-rated health status was linked to a lower probability of IHE, with the "very healthy" reporting a 25.8% lower risk than those "unhealthy." Chronic disease sufferers in the near-poor and non-poor categories were at an increased risk of 12 and 1.4%, respectively. Other surveyed factors, including migrant status, age, insurance type, gender, educational level, and recent smoking or drinking, were not statistically significant (P > 0.05). Conclusion: Rural near-poor in China are much more susceptible to medical impoverishment, influenced by specific socio-economic factors. The findings advocate for policy enhancements and health system reforms to mitigate health poverty. Further research should extend to urban areas for comprehensive health poverty strategy development.

Characteristics and spending patterns of high-cost child patients: findings from Fujian in China.

BACKGROUND: The health condition during childhood has been shown to influence an individual's health and socioeconomic status in adulthood. Understanding the concentration and persistence patterns in children's healthcare expenditures is crucial for providing risk protection and promoting the well-being of children. Studies regarding the concentration and persistence of health expenditures have focused mainly on elderly individuals in developed regions. To gain insights into factors that contribute to childhood health expenditures, this article examined children with high costs (that is, in the top 10% of the expenditure distribution) and explored the characteristics and spending patterns that distinguished them from other patients in the context of the largest developing economy-China. METHODS: By using a unique individual-level administrative claims dataset over a 5-year observation period, this study identified spending concentrations and the proportion of children whose costs remained high over five years using a linear probability model and logit regression analysis. RESULTS: Teenagers from 12 to 17 years old were more likely to persist in the high-cost group than any other age groups in the study. Pediatric complex chronic conditions and other severe health ailments were predictive factors for entry into and persistence in the high-cost category. More than half of the total health expenditures were attributed to children in the top 10% expenditure group. In addition, risk protection and healthcare insurance support for high-cost children was found to be inadequate, particularly for children from low-income families. CONCLUSIONS: Healthcare support for children impacts individual development and family financial status. This study described the characteristics and spending patterns of children patients in the largest developing country. The fact that over half of total expenditures are concentrated toward 10% of patients makes it valuable to consider relevant support for this group, especially for families whose medical costs are higher than income.

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.

Epidemiological and Financial Aspects of Hospitalizations for Bacterial Meningitis in Brazil.

Introduction: Understanding the epidemiology and cost implications of acute bacterial meningitis is crucial for effective health planning, timely treatment implementation, and comprehensive patient support measures, as well as for determining appropriate hospital expenses. Therefore, we conducted an analysis of hospitalization cases for bacterial meningitis in Brazil from January 2008 to December 2019. Methods: This is a descriptive ecological study that utilized the Hospital Information System of Brazil's National Unified Health System (SIH/SUS) database. The variables included sex, region, age group, hospitalizations, deaths, lethality rate, and hospital service expenses. The data were tabulated to focus specifically on the epidemiological aspect of bacterial meningitis. Results: During the study period, there were 20,207 hospitalizations for bacterial meningitis in Brazil. Men accounted for a higher number of cases, with 11,690 (57.67%), while women had a higher lethality rate of 10.64%. The Southeast region had the highest percentage of both hospitalizations (45.78%) and deaths (46.42%). Bacterial meningitis remains an important cause of morbidity and mortality, particularly in children under 5 years of age. Notably, the elderly and the Northeast region showed higher rates of lethality. The total expenditure on hospital services exceeded 43 million in Brazilian real, with the highest expenditure observed in 2019 and the lowest in 2011. Conclusion: A higher prevalence of the disease was observed in males, in children under 1-year-old and in the southeast region. Hospital expenditures were found to be substantial and increasing over time, underscoring the significance of early diagnosis and the promotion of vaccination campaigns.

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.

Clinical and economic burden of immune tolerance induction in entire patients with hemophilia A: Insights from a real-world Korean setting.

INTRODUCTION: The most notable challenge facing hemophilia A treatment is the development of inhibitors against factor VIII, resulting in increased clinical and socioeconomic burdens due to the need for expensive bypassing agents (BPAs). Although immune tolerance induction (ITI) is currently the primary approach for inhibiting and reducing the inhibitors, the lengthy duration of ITI necessitates the continued use of BPA to manage bleeding episodes. In this study, we aimed to obtain real-world evidence on the clinical and economic aspects and associated burdens experienced by patients with hemophilia A with inhibitors undergoing ITI in Korea. METHODS: Claims data from January 1, 2007, to December 31, 2020, were used in this study. The study cohort comprised patients with hemophilia A undergoing ITI, who were categorized into three groups: successful, failed, or continuation of ITI. We evaluated clinical and economic burdens, including monthly healthcare visits, medication costs, and total medical expenses. RESULTS: The study involved 33 cases of ITI across 32 patients. Excluding seven continuation cases where success could not be determined at the observation point, the estimated success rate of ITI was 80.8 %. The median duration of ITI for all patients was 25.7 months. While no significant disparities were noted in the ITI duration between successful and unsuccessful cases (24.51 vs. 25.66 months), substantial discrepancies were observed in the duration of BPA usage (11.10 vs. 25.66 months) and the number of prescribed BPAs (1.79 vs. 2.97). CONCLUSION: Successful ITI reduced both clinical and economic burdens, resulting in decreased monthly medication expenses and overall medical costs.