Online Tools to Decrease Out-of-Pocket Prescription Costs for Patients: A Practical Guide for Urologists.

INTRODUCTION: Patients who seek urologic care have recently reported a high degree of financial toxicity from prescription medications, including management for nephrolithiasis, urinary incontinence, and urological oncology. Estimating out-of-pocket costs can be challenging for urologists in the US because of variable insurance coverage, local pharmacy distributions, and complicated prescription pricing schemes. This article discusses resources that urologists can adopt into their practice and share with patients to help lower out-of-pocket spending for prescription medications. METHODS: We identify 4 online tools that are designed to direct patients toward more affordable prescription medication options: the Medicare Part D Plan Finder, GoodRx, Amazon, and the Mark Cuban Cost Plus Drug Company. A brief historical overview and summary for patients and clinicians are provided for each online resource. A patient-centered framework is provided to help navigate these 4 available tools in clinic. RESULTS: Among the 4 tools we identify, there are multiples tradeoffs to consider as financial savings and features can vary. First, patients insured by Medicare should explore the Part D Plan Finder each year to compare drug plans. Second, patients who need to urgently refill a prescription at a local pharmacy should visit GoodRx. Third, patients who are prescribed recurrent generic prescriptions for chronic conditions can utilize the Mark Cuban Cost Plus Drug Company. Finally, patients who are prescribed 3 or more chronic medications can benefit from subscribing to Amazon RxPass. CONCLUSIONS: Prescription medications for urologic conditions can be expensive. This article includes 4 online resources that can help patients access medications at their most affordable costs. Urologists can provide this framework to their patients to help support lowering out-of-pocket drug costs.

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.

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.

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.

Out-of-pocket expenses and parent reported quality of life in children with cow's milk protein allergy in Bogotá, Colombia.

OBJECTIVE: To identify the out-of-pocket expenses and parent-reported quality of life (QoL) of children with a diagnosis of cow's milk protein allergy (CMPA) between the ages of 0 and 5 using the Food Allergy Quality of Life Questionnaire - Parent Form. METHODS: A cross-sectional study was conducted in two tertiary care centers in Bogotá. Demographic, medical information, and QoL scores were collected by parental interview. We carried out a cost-of-illness analysis based on self-reported out-of-pocket expenses attributed to the treatment as a whole and the family's monthly income. Exploratory analyses used the QoL scores and the percentage of out-of-pocket expenses attributable to treatment as outcomes. RESULTS: 122 families were analyzed. Median subject age was 17 months (Q1-Q3: 11-26.75 months) and female subjects made up 71% of the sample. The median QoL score was 3.21 points (Q1-Q3: 2.43-4.34) and only differed by age groups and personal history of other food allergies. The median out-of-pocket treatment related costs was 300,000 Colombian pesos (COP) (Q1-Q3: 280,000-340,000 COP). About 17% of the families had to pay over 15% of their monthly income to purchase food and dietary products. Out-of-pocket treatment related costs differed depending on whether the treatment included formulas (Mann-Whitney test p < 0.001). Out-of-pocket treatment expenses were uncorrelated with the QoL scores. CONCLUSION: Food allergy related QoL scores were not associated with out-of-pocket expenses as a whole or as a fraction of monthly income but were higher in children with additional food allergies and in older age groups, suggesting a lower QoL.

Catastrophic health expenditures: a disproportionate risk in uninsured ethnic minorities with diabetes.

BACKGROUND: Chargemaster prices are the list prices that providers and health systems assign to each of their medical services in the US. These charges are often several factors of magnitude higher than those extended to individuals with either private or public insurance, however, these list prices are billed in full to uninsured patients, putting them at increased risk of catastrophic health expenditures (CHE). The objective of this study was to examine the risk of CHE across insurance status, diabetes diagnosis and to examine disparity gaps across race/ethnicity. METHODS: We perform a retrospective observational study on a nationally representative cohort of adult patients from the Medical Expenditure Panel Survey for the years 2002-2017. Using logistic regression models we estimate the risk of CHE across insurance status, diabetes diagnosis and explore disparity gaps across race/ethnicity. RESULTS: Our fully adjusted results show that the relative odds of having CHE if uninsured is 5.9 (p < 0.01) compared to if insured, and 1.1 (p < 0.01) for patients with a diabetes diagnosis (compared to those without one). We note significant interactions between insurance status and diabetes diagnosis, with uninsured patients with a diabetes diagnosis being 9.5 times (p < 0.01) more likely to experience CHE than insured patients without a diabetes diagnosis. In terms of racial/ethnic disparities, we find that among the uninsured, non-Hispanic blacks are 13% (p < 0.05), and Hispanics 14.2% (p < 0.05), more likely to experience CHE than non-Hispanic whites. Among uninsured patients with diabetes, we further find that Hispanic patients are 39.3% (p < 0.05) more likely to have CHE than non-Hispanic white patients. CONCLUSIONS: Our findings indicate that uninsured patients with diabetes are at significantly elevated risks for CHE. These risks are further found to be disproportionately higher among uninsured racial/ethnic minorities, suggesting that CHE may present a channel through which structural economic and health disparities are perpetuated.

[The new medical licensing regulations (ÄApprO) : Status and expected challenges]. / Die neue Ärztliche Approbationsordnung ÄApprO : Aktueller Stand und zu erwartende Herausforderungen.

BackgroundThe amendment to the medical licensing regulations (ÄApprO) was decided at the federal level in the version of the "Master Plan for Medical Studies 2020" passed in 2017. In addition to the organizational effort involved in redesigning the curricular teaching, the expected costs associated with the implementation of the new licensing regulations due to the necessary additional time and, therefore, personnel expenditure are of particular importance. Taking into account the different forms of study and the 20% scope for study-design provided to the individual faculties, the process of transferring the teaching content to the new modules confronts us with an enormous organizational challenge.Significance of O&UDiseases of the musculoskeletal system are of particular medical, social and economic importance. Therefore, the training of future physicians in the field of orthopedics and traumatology must be taken into account. The visibility of the field of orthopedics and traumatology must not be lost with the introduction of the new medical licensing regulations (ÄApprO).ImplementationThe implementation of the new medical licensing regulations at German universities will be costly and necessitates an increased number of staff. However, there is a great opportunity to position orthopedics and traumatology as a "central player" in the modular, interdisciplinary and interprofessional course landscape. It is, therefore, important to take on concrete responsibility for the design of the new teaching programs and to bring in our specialist and interdisciplinary skills wherever sensible and possible.

Air, land, and water pollutants and public health expenditures: Empirical data from selected EU countries in the transport sector.

The increase in economic activity, particularly in transport, leads to a significant increase in emissions of pollutants, such as ammonia, arsenic and cadmium, at the European Union (EU) level. This can seriously impact human health and, consequently, public health spending. Based on data from 15 European Union countries from 1992 to 2020, a panel co-integration approach is used to study these pollutants' short- and long-term co-movements and per capita health expenditure. The results show a long-term relationship between ammonia, arsenic and cadmium emissions and per capita health spending, as they are panel-cointegrated. Ammonia and cadmium emissions exert a statistically significant positive effect on health expenditure in the short run, and arsenic emissions have a statistically significant positive impact in the long run. The forecast assessment of reductions in health spending resulting from policies to reduce emissions of air, land and water pollutants, such as ammonia, arsenic and cadmium, from the transport sector supports investments in its policies that reduce pressure on health spending. The reduction in annual healthcare expenditure is greater when these reductions are made sooner and more severely. Indeed, varying the reduction in emissions for each pollutant by 10% and 100%, respectively, from the first year for all countries over a 3-year period results in an average annual reduction in health spending of 2.05% and 51.02%, respectively. However, if we wait until the third year, the annual reduction is only 0.77% and 17.63% respectively.

Treatable mortality and health care related factors across European countries.

Introduction: Despite the improvements in European health systems, a large number of premature deaths are attributable to treatable mortality. Men make up the majority of these deaths, with a significant gap existing between women and men's treatable mortality rate in the EU. Aim: This study aims to identify the healthcare-related factors, including health expenditures, human and physical resources, and hospital services use associated with treatable mortality in women and men across European countries during the period 2011-2019. Methods: We use Eurostat data for 28 EU countries in the period 2011-2019. We estimate a panel data linear regression with country fixed effects and quantile linear regression for men and women. Results: The results found (i) differences in drivers for male and female treatable mortality, but common drivers hold the same direction for both sexes; (ii) favorable drivers are GDP per capita, health expenditures, number of physicians per capita, and (only for men) the average length of a hospital stay, (iii) unfavorable drivers are nurses and beds per capita, although nurses are not significant for explaining female mortality. Conclusion: Policy recommendations may arise that involve an improvement in hospital bed management and the design of more specific policies aimed at healthcare professionals.

Impacts of mining disasters on the ambulatory care of the Brazilian national health system: the cases of Mariana and Brumadinho/Brazil.

BACKGROUND: Disasters are events that bring with them effects that contribute to the disruption of the normality of a population and thus highlight the vulnerabilities of the health system. In Mariana and Brumadinho, the collapse of the dam of ore tailings brought with it several impacts that were felt in the short term and will be felt in the medium and long term. And that by being intensely intertwined with issues of economic and productive nature, has as its meaning an uninterrupted result of its activities. METHODS: Through the DATASUS database, two specific variables were chosen to perform the analysis: the approved amount and the approved value. For this research, a methodological device, the segmented regression line, was used to observe the influences that the disasters that occurred in Mariana and Brumadinho had on the ambulatory health systems. RESULTS: The results of the segmented regression line show that, with Mariana, the amount approved continued to grow throughout the period, which shows that there was no change because of the disaster. There was a reduction in spending. In Brumadinho, regarding the amount approved, there was an upward trend in the disaster's month, which did not change immediately afterwards, and regarding expenditure, the growth pattern was maintained in all three periods. Corroborating this data, the relative and absolute base elements show an increase in the amount approved and in the number of services provided at various posts compared with Minas Gerais. CONCLUSIONS: Based on the findings, it was possible to understand that although disasters exert an influence that may have some effect on the health system, the lack of significance sometimes cannot be interpreted as a lack of impact on the disaster. The segmented regression line outlines some effects that are not conclusive but indicative of a numerical interpretation and a trend interpretation.

Do expenditures on public health reduce preventable mortality in the long run? Evidence from the Canadian provinces.

BACKGROUND: Investments in public health - prevention of illnesses, and promotion, surveillance, and protection of population health - may improve population health, however, effects may only be observed over a long period of time. OBJECTIVE: To investigate the potential long-run relationship between expenditures on public health and avoidable mortality from preventable causes. METHODS: We focused on the country spending the most on public health in the OECD, Canada. We constructed a longitudinal dataset on mortality, health care expenditures and socio-demographic information covering years 1979-2017 for the ten Canadian provinces. We estimated error correction models for panel data to disentangle short-from long-run relationships between expenditures on public health and avoidable mortality from preventable causes. We further explored some specific causes of mortality to understand potential drivers. For comparison, we also estimated the short-run relationship between curative expenditures and avoidable mortality from treatable causes. RESULTS: We find evidence of a long-run relationship between expenditures on public health and preventable mortality, and no consistent short-run associations between these two variables. Findings suggest that a 1% increase in expenditures on public health could lead to 0.22% decrease in preventable mortality. Reductions in preventable mortality are greater for males (-0.29%) compared to females (-0.09%). These results are robust to different specifications. Reductions in some cancer and cardiovascular deaths are among the probable drivers of this overall decrease. By contrast, we do not find evidence of a consistent short-run relationship between curative expenditures and treatable mortality, except for males. CONCLUSION: This study supports the argument that expenditures on public health reap health benefits primarily in the long run, which, in this case, represents a reduction in avoidable mortality from preventable causes. Reducing public health expenditures on the premise that they have no immediate measurable benefits might thus harm population health outcomes in the long run.

Rural‒urban disparities in household catastrophic health expenditure in Bangladesh: a multivariate decomposition analysis.

BACKGROUND: Rural‒urban disparity in catastrophic healthcare expenditure (CHE) is a well-documented challenge in low- and middle-income countries, including Bangladesh, limiting financial protection and hindering the achievement of the Universal Health Coverage target of the United Nations Sustainable Development Goals. However, the factors driving this divide remain poorly understood. Therefore, this study aims to identify the key determinants of the rural‒urban disparity in CHE incidence in Bangladesh and their changes over time. METHODS: We used nationally representative data from the latest three rounds of the Bangladesh Household Income and Expenditure Survey (2005, 2010, and 2016). CHE incidence among households seeking healthcare was measured using the normative food, housing, and utilities method. To quantify covariate contributions to the rural‒urban CHE gap, we employed the Oaxaca-Blinder multivariate decomposition approach, adapted by Powers et al. for nonlinear response models. RESULTS: CHE incidence among rural households increased persistently during the study period (2005: 24.85%, 2010: 25.74%, 2016: 27.91%) along with a significant (p-value ≤ 0.01) rural‒urban gap (2005: 9.74%-points, 2010: 13.94%-points, 2016: 12.90%-points). Despite declining over time, substantial proportions of CHE disparities (2005: 87.93%, 2010: 60.44%, 2016: 61.33%) are significantly (p-value ≤ 0.01) attributable to endowment differences between rural and urban households. The leading (three) covariate categories consistently contributing significantly (p-value ≤ 0.01) to the CHE gaps were composition disparities in the lowest consumption quintile (2005: 49.82%, 2010: 36.16%, 2016: 33.61%), highest consumption quintile (2005: 32.35%, 2010: 15.32%, 2016: 18.39%), and exclusive reliance on informal healthcare sources (2005: -36.46%, 2010: -10.17%, 2016: -12.58%). Distinctively, the presence of chronic illnesses in households emerged as a significant factor in 2016 (9.14%, p-value ≤ 0.01), superseding the contributions of composition differences in household heads with no education (4.40%, p-value ≤ 0.01) and secondary or higher education (7.44%, p-value ≤ 0.01), which were the fourth and fifth significant contributors in 2005 and 2010. CONCLUSIONS: Rural‒urban differences in household economic status, educational attainment of household heads, and healthcare sources were the key contributors to the rural‒urban CHE disparity between 2005 and 2016 in Bangladesh, with chronic illness emerging as a significant factor in the latest period. Closing the rural‒urban CHE gap necessitates strategies that carefully address rural‒urban variations in the characteristics identified above.

Out-of-pocket pharmaceutical expenditure and its determinants among Iranian households with elderly members: a double-hurdle model.

OBJECTIVES: The population of older adults continues to grow in Iran, with pharmaceutical costs as a leading driver of household health-related costs. The present study was conducted to estimate the out-of-pocket pharmaceutical expenditure and its socioeconomic predictors among households with the elderly in Iran. METHOD: This study is a secondary analysis using 2019 national household expenditure and income survey data in Iran. The sample size was 9381 households with at least one member older than 65. The double-hurdle model in STATA 16 was used to examine the association between independent variables and households' out-of-pocket pharmaceutical expenditures. RESULTS: The mean out-of-pocket pharmaceutical expenditures for each household with elderly member was $8065 per year. There was a positive association between the (female) gender of the household head, urban residence, employment status, insurance expenditure and a higher level of education of the head of the household with the out-of-pocket pharmaceutical expenditures (P < 0.05). The income of elderly households did not affect these expenditures (P > 0.05). CONCLUSIONS: This study showed that the socioeconomic characteristics of elderly families not only influenced their decision to enter the medicine market, but also the rate of medicine purchase. It is helpful to manage and control the pharmaceutical costs among the elderly.

Adverse events and costs among non-metastatic castration-resistant prostate cancer patients.

BACKGROUND: Limited real-world evidence exists on the economic burden of adverse events (AEs) to the healthcare system among patients with non-metastatic castration-resistant prostate cancer (nmCRPC) treated with second-generation androgen receptor antagonists (ARAs). Current data is needed to understand real-world clinical event rates among ARAs and the cost of these events. OBJECTIVES: Describe the incidence of non-central nervous system (CNS)-related AEs and CNS-related AEs among nmCRPC patients treated in the United States with second-generation ARAs (apalutamide and enzalutamide) and evaluate healthcare resource utilization (HCRU) and costs for these patients. METHODS AND STUDY DESIGN: This was a retrospective observational cohort study using claims data from Optum Clinformatics Data Mart to identify adult males with prostate cancer, castration, no metastases, and >1 claim for apalutamide or enzalutamide. The study was conducted from January 2017 to March 2020, with a patient index identification period from January 2018 to December 2019. AEs were classified as CNS-related or non-CNS-related. RESULTS: Of 605 patients (156 apalutamide and 449 enzalutamide), most were ≥65 years (94%) and had ≥1 non-CNS-related AE (55%). Many had ≥1 CNS-related AE (32%). Pain (12%) and arthralgia (11%) were the most frequently reported non-CNS-related AEs. Fatigue/asthenia (14%) and dizziness (7%) were the most frequently reported CNS-related AEs. Among patients with versus without non-CNS-related AEs, 34% versus 8% had emergency room (ER) events, and 25% versus 2% had inpatient events. Among patients with versus without CNS-related AEs, 41% versus 14% had ER events, and 38% versus 4% had inpatient events. Adjusted per-patient per-year cost (in 2020 USD) differences were significant between patients with and without non-CNS-related AEs ($30,765, p = 0.0018) and between patients with and without CNS-related AEs ($40,689, p = 0.0017). CONCLUSION: There is significant HCRU and cost burden among nmCRPC patients treated with ARAs developing AEs, highlighting the need for treatments with improved tolerability. Additional studies are warranted to include recently approved agents.

Dynamic Linkages among HIV/AIDS, Health Expenditures, Environmental Degradation, Life Expectancy, and Economic Growth: A Case of Eastern Africa Countries.

BACKGROUND: Eastern African countries are among the countries with a very high HIV/AIDS prevalence rate. High HIV/AIDS prevalence is a problem that has a detrimental effect on the economic development of these countries. Previous studies have generally examined the relationship of HIV/AIDS with life expectancy or economic growth. In this study, three different models have been established and the relationship of HIV/AIDS with economic growth, health expenditures, and life expectancy has been analyzed, and current econometric methods and policy recommendations have been developed according to the results. OBJECTIVE: The aim of this study was to investigate the relationship between health expenditure, environmental degradation, life expectancy, HIV/AIDS, and economic growth. METHOD: Annual data from 9 Eastern African countries for the period of 2000-2019 were used. Panel ARDL/PMG and Dumitrescu-Hurlin methods were used. RESULTS: HIV/AIDS negatively affects economic growth and life expectancy, and positively affects health expenditures. According to the causality results, HIV/AIDS is the cause of economic growth. In addition, a bidirectional causal relationship has been found between HIV/AIDS and life expectancy. CONCLUSION: The main conclusion of the study is that HIV/AIDS plays a negative role in economic growth and life expectancy. Further steps must be taken to prevent the further spread of HIV/AIDS, which causes these factors to affect the well-being of the countries.

Impact of Lung Cancer on Health-Related Quality of Life, Financial Toxicity, and Household Economics in Patients From the Public and the Private Healthcare Sector in Argentina.

OBJECTIVES: Non-small cell lung cancer (NSCLC) is Argentina's first cause of cancer death. Most patients have an advanced stage at diagnosis, with poor expected survival. This study aimed to characterize the health-related quality of life (HRQOL) and economic impact of patients treated in the private healthcare sector and compare it with that of the public sector. METHODS: We undertook an observational cross-sectional study that extended a previous study to a referral private center in Argentina. Outcomes included the EuroQol EQ-5D-3L (to assess HRQOL), Comprehensive Score for Financial Toxicity (financial toxicity instrument), Work Productivity and Activity Impairment - General Health (to assess productivity loss), and out-of-pocket expenses in adults diagnosed of NSCLC. RESULTS: We included 30 consecutive patients from a private healthcare center (July 2021 to March 2022), totaling 131 patients (n = 101 from previous public study). The whole sample had low quality of life and relevant economic impact. Patients in the private healthcare sector showed lower disease severity and higher educational level and household income. In addition, private healthcare system patients showed higher utility (0.77 vs 0.73; P < .05) and lower impairment of daily activities (41% vs 59%; P = .01). Private health system patients also showed lower financial toxicity as measured by the Comprehensive Score for Financial Toxicity score (23.9 vs 20.14; P < .05) but showed no differences when financial toxicity was assessed as a dichotomic variable. CONCLUSIONS: Although patients with NSCLC treated in a private healthcare center in Argentina showed a relevant HRQOL and economic impact, this impact was smaller than the one observed in publicly funded hospitals.

The association between dual sensory loss and healthcare expenditure: Mediating effect of depression.

BACKGROUND: Previous studies have suggested the dual sensory loss (DSL) is linked to depression, and that they are associated with higher healthcare expenditures, respectively. However, the association between DSL, depression and healthcare expenditures remains ambiguous. OBJECTIVES: The current study aims to examine the association between DSL, depression and healthcare expenditures as well as catastrophic health expenditures (CHE) among Chinese people aged 45 and above. METHODS: We first utilized the China Health and Retirement Longitudinal Survey (CHARLS) 2018 to obtain data from a total of 13,412 Chinese individuals aged 45 and above to conduct a cross-sectional study. DSL was defined as a combined variable of self-reported vision loss and hearing loss. Depression was measured using The Center for Epidemiologic Studies Depression Scale (CESD-10). The healthcare expenditures, including outpatient out-of-pocket cost and inpatient out-of-pocket cost, were obtained from the Harmonized CHARLS section. CHE were defined as out-of-pocket (OOP) health spending equal to or higher than 40 % of a household's capacity to pay. A Tobit linear regression with three models and a path analysis were conducted to estimate the association between DSL, depression and healthcare expenditures and CHE. Then we utilized 2011CHARLS and 2018CHARLS to present a longitudinal analysis. A path analysis was conducted to estimate the association between 2011DSL, 2018depression and 2018healthcare expenditures and CHE. RESULTS: Depression has a significant mediating effect between DSL and healthcare expenditures. (For outpatient OOP cost: a = 0.453, b = 23.559, c = 25.257, the proportion of mediating effect in total effect = 29.71 %; for inpatient OOP cost: a = 0.453, b = 13.606, c = 15.463, the proportion of mediating effect in total effect = 28.50 %; all P < 0.05). The mediating effect of depression also exists in the association between DSL and CHE (a = 0.453, b = 0.018, c = 0.043, the proportion of mediating effect in total effect = 15.90 %; P < 0.05). The mediation effect of depression on healthcare expenditures and CHE also exists in the longitudinal analysis using CHARLS 2011 and CHARLS 2018 (all P < 0.05). LIMITATIONS: The DSL status were based on self-report and we used 2018CHARLS to conduct the study, which may cause some bias. CONCLUSION: Significant mediating effect of depression exists between DSL and higher healthcare expenditures and CHE. The mental health of elder people with DSL should be focused on, and we should have an overall viewpoint on the topic of healthcare expenditures and CHE.

Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019.

OBJECTIVES: Protecting people against financial hardship caused by illness stands as a fundamental obligation within healthcare systems and constitutes a pivotal component in achieving universal health coverage. The objective of this study was to analyze the prevalence and determinants of catastrophic health expenditures (CHE) in Iran, over the period of 2013 to 2019. METHODS: Data were obtained from 7 annual national surveys conducted between 2013 and 2019 on the income and expenditures of Iranian households. The prevalence of CHE was determined using a threshold of 40% of household capacity to pay for healthcare. A binary logistic regression model was used to identify the determinants influencing CHE. RESULTS: The prevalence of CHE increased from 3.60% in 2013 to 3.95% in 2019. In all the years analyzed, the extent of CHE occurrence among rural populations exceeded that of urban populations. Living in an urban area, having a higher wealth index, possessing health insurance coverage, and having employed family members, an employed household head, and a literate household head are all associated with a reduced likelihood of CHE (p<0.05). Conversely, the use of dental, outpatient, and inpatient care, and the presence of elderly members in the household, are associated with an increased probability of facing CHE (p<0.05). CONCLUSIONS: Throughout the study period, CHE consistently exceeded the 1% threshold designated in the national development plan. Continuous monitoring of CHE and its determinants at both household and health system levels is essential for the implementation of effective strategies aimed at enhancing financial protection.

Postpartum healthcare expenditures for commercially insured deliveries with and without severe maternal morbidity.

BACKGROUND: Although severe maternal morbidity is associated with adverse health outcomes in the year after delivery, patterns of healthcare use beyond the 6-week postpartum period have not been well documented. OBJECTIVE: This study aimed to estimate healthcare utilization and expenditures for deliveries with and without severe maternal morbidity in the 12 months following delivery among commercially insured patients. STUDY DESIGN: Using data from the 2016 to 2018 IBM Marketscan Commercial Claims and Encounters Research Databases, we identified deliveries to individuals 15 to 49 years of age who were continuously enrolled in noncapitated health plans for 12 months after delivery discharge. We used multivariable generalized linear models to estimate adjusted mean 12-month medical expenditures and 95% confidence intervals for deliveries with and without severe maternal morbidity, accounting for region, health plan type, delivery method, and obstetrical comorbidities. We estimated expenditures associated with inpatient admissions, nonemergency outpatient visits, outpatient emergency department visits, and outpatient pharmaceutical claims. RESULTS: We identified 366,282 deliveries without severe maternal morbidity and 3976 deliveries (10.7 per 1000) with severe maternal morbidity. Adjusted mean total medical expenditures for deliveries with severe maternal morbidity were 43% higher in the 12 months after discharge than deliveries without severe maternal morbidity ($5320 vs $3041; difference $2278; 95% confidence interval, $1591-$2965). Adjusted mean expenditures for readmissions and nonemergency outpatient visits during the 12-month postpartum period were 61% and 39% higher, respectively, for deliveries with severe maternal morbidity compared with deliveries without severe maternal morbidity. Among deliveries with severe maternal morbidity, adjusted mean total costs were highest for patients living in the western region ($7831; 95% confidence interval, $5518-$10,144) and those having a primary cesarean ($7647; 95% confidence interval, $6323-$8970). CONCLUSION: Severe maternal morbidity at delivery is associated with increased healthcare use and expenditures in the year after delivery. These estimates can inform planning of severe maternal morbidity prevention efforts.