Health Care Expenditures Research Articles

Changes in work status after cancer diagnosis and their associations with depressive symptoms among cancer survivors: findings from the Korean longitudinal study of ageing1

PurposeCancer survivors encounter significant psychological suffering and are prone to develop depressive symptoms. Work contributes to personal fulfillment and social connections, and by doing so, enhances a cancer survivor’s resilience against adversities. However, maintaining employment can be challenging for some cancer survivors. This research aimed to identify the association between changes in work status and depressive symptoms among cancer survivors in South Korea.MethodsThis study used the panel data from the Korean Longitudinal Study of Ageing (KLoSA) and included 199 cancer survivors–799 observations–aged 65 or younger, between 2005 and 2018. Changes in work status consisted of continuous unemployment or employment, quitting a job, and getting a job. We defined depressive symptoms as a CES-D-10 score of 10 or higher and a cut-off of 4 was utilized for sensitivity analysis. Multivariable generalized estimating equation was employed to estimate the odds ratio (OR), adjusting for the number of household members, education level, sex, age, marital status, occupations, cancer treatment, cancer type, catastrophic healthcare expenditure (CHE), and survivorship. Subgroup analysis and interaction between changes in work and cancer types were further explored.ResultsFor depressive symptoms, the OR of the continuous unemployment group was 2.27 (95% CI = 1.10–4.69), and the OR of the group that quit a job was 2.20 (95% CI = 1.03–4.72), compared to the continuous employment group. As survivorship increased, the odds of depressive symptoms decreased (OR = 0.94, 95% CI = 0.89–1.00). CHE was associated with depressive symptoms (OR = 2.23, 95% CI = 1.18–4.20). In cancer types with a low tendency to depression, continuous unemployment was associated with depressive symptoms (OR = 3.19, 95% CI = 1.12–9.06). In sensitivity analysis, changes in work, survivorship, and CHE were consistently associated with depressive symptoms.ConclusionsCancer survivors who quit a job or continued unemployment were more likely to experience depressive symptoms. The findings of this study imply that assistance for cancer survivors to continue a job or return to employment, including adjustment of workload and hours, may be helpful. Psychological care may be crucial, particularly in the early stage of cancer survivorship. Furthermore, support may be needed to alleviate the burden of healthcare expenditure.

Linking housing, socio-demographic, environmental and mental health data at scale

Mental disorders are a growing problem worldwide, putting pressure on healthcare systems and wider society. Anxiety and depression are estimated to cost the global economy US$1 trillion per year, yet only 2% of global median government healthcare expenditure goes towards mental health. There is growing evidence linking housing, socio-economic status and local environmental conditions with mental health inequalities. The aim of this paper is to link several open-access datasets at the local area level (N = 32,844) for England to clinical mental health metrics and describe initial statistical findings. Two mental health metrics were used: Small Area Mental Health Index (SAMHI) and diagnosed depression prevalence. To demonstrate the utility of the longitudinal mental health data, changes in depression prevalence were investigated over two study periods (2011–19, i.e. austerity; and 2019–22, i.e. COVID-19). These data were linked to housing data (energy efficiency, floor area, year built, type and tenure) from Energy Performance Certificates (EPCs); socio-demographic data (age, sex, income and education deprivation, household size) from administrative records; and local environment data (winter temperature, air pollution and access to green space). The linked dataset provides a useful resource with which to investigate the social and environmental determinants of mental health. Practice relevance Initial observations of the data revealed a non-linear relationship between home energy efficiency (EPC band) and the mental health metrics, with depression prevalence higher in local areas where the mode EPC bands were C and D, compared with B and E. Researchers can further investigate this relationship using the dataset through robust statistical analysis, adjusting for confounding variables. National and local governments may use the dataset to help allocate resources to prevent and treat mental health conditions. Practitioners can map and interrogate the data to describe their local areas and make preliminary conclusions about the relationships between the built environment and mental health. This preliminary analysis of the data demonstrated a gradient in SAMHI and depression prevalence with income and employment deprivation at the local area level.

Identifying Potentially Modifiable Factors To Reduce Hospital Readmissions In A Tertiary Care Hospital In Sri Lanka

Identifying potentially modifiable factors associated with hospital readmissions would lead to reduction of the burden on healthcare expenditure and improvement of quality of life of patients. A cross sectional descriptive study was carried out on medical inpatients of University Medical Unit, National Hospital of Sri Lanka. Among the 425 participants, 178 (41.9%) had at least one prior admission over the preceding year. Participants with readmissions were significantly older than those with single admissions. The onset of illness/time since diagnosis, number of chronic illnesses, number of long-term medications, compliance with medications, compliance with follow-up, availability of family support, depression, anxiety, stress and alcohol use were associated with readmissions, whereas the location of follow-up, living arrangement and level of activity was not. A significant proportion of the study population had readmissions. Interventions aiming to reduce pill burden and to improve compliance with medications and follow-up are suggested, and further studies are recommended to assess their impact. Where appropriate, patients should be directed to local hospitals/clinics for follow-up. Early identification of depression, anxiety and stress among patients and assessing each patient’s alcohol intake, and making recommendations for them to obtain necessary help would be beneficial.

Young adults, particularly young women, account for an increasingly large share of Dutch mental healthcare expenditure over the period between 2015 and 2021.

There is increasing concern over the mental distress of youth in recent years, which may impact mental healthcare utilisation. Here we aim to examine temporal patterns of mental healthcare expenditures in the Netherlands by age and sex in the period between 2015 and 2021. Comprehensive data from health insurers in the Netherlands at the 3-number postal code level were used for cluster weighted linear regressions to examine temporal patterns of mental healthcare expenditure by age group (18-34 vs 35-65). The same was done for medical specialist and general practitioner costs. Additionally, we examined interactions with gender, by adding the interaction between age, year and sex to the model. Mental healthcare costs for younger adults (18-34) were higher than those for older adults (35-65) at all time points (β = 0.22, 95%-CI = 0.19; 0.25). Furthermore there was an increase in the strength of the association between younger age and mental healthcare costs from β = 0.22 (95%-CI = 0.19; 0.25) in 2015 to β = 0.37 (95%-CI = 0.35; 0.40) in 2021 (p < 0.0001) and this was most evident in women (p < 0.0001). Younger age was associated with lower general practitioner costs at all time points, but this association weakened over time. Younger age was also associated with lower medical specialist costs, which did not weaken over time. Young adults, particularly young women, account for an increasing share of mental healthcare expenditure in the Netherlands. This suggests that mental distress in young people is increasingly met by a response from the medical system. To mitigate this trend a public mental health approach is needed.

Use of free preventive dental programme for children: 10 years of Lov'U'r Teeth, France.

Lov'U'r Teeth is a French oral health prevention programme targeting children. The programme offers an appointment with a dentist for oral examination and individual oral health advice. It covers any necessary primary dental care resulting from that examination. Despite being free, it was under-utilised at its previous evaluation 10 years ago. The study aims to identify the determinants of participation and their evolution since 2009. We worked on the General Beneficiary Sample, a medico-administrative database representative of the French population, including health-care consumption data. We selected individuals aged 6 to 15. We performed descriptive statistics and multivariate logistic regressions to analyse and compare the determinants of participation between 2009 and 2019. The final sample included 26 288 children. Lov'U'r Teeth participation rate increased by 4.2 percentage points from 2009 to 2019. Participation was highest at age 6 and declined as age increased. Children from households facing financial difficulties have a 72% lower probability of participating than other children. Over the study period, increasing poverty rates were consistently associated with lower participation. Children living in the areas with the highest poverty rates were up to 46% less likely to participate than those in areas with the lowest poverty rates. Participation in Lov'U'r Teeth has improved over the past 10 years, but the programme continues to reproduce social inequalities, as the determinants of using free preventive dental care mirror those of non-preventive care. Lov'U'r Teeth should enhance communication strategies to reach those in need and clarify the programme's benefits.

Lifetime healthcare expenditures across socioeconomic groups

BackgroundA socioeconomic gradient affects healthcare expenditures and longevity in opposite directions as less affluent individuals have higher current healthcare expenditures but simultaneously enjoy shorter lives. Yet, it is unclear whether this cross-sectional healthcare expenditure gradient persists from a lifetime perspective. This paper analyzes lifetime healthcare expenditures across socioeconomic groups using detailed individual-level healthcare expenditure data for the entire Danish population.MethodUsing full population healthcare expenditures from Danish registries, we estimate lifetime healthcare expenditures as age-specific mean healthcare expenditures times the probability of being alive at each age. Our data enables the estimation of lifetime healthcare expenditures by sex, socioeconomic status, and by various types of healthcare expenditure.ResultsOnce we account for mortality differences and all types of healthcare expenditures, all socioeconomic groups spend an almost equal amount on healthcare throughout a lifetime. Lower socioeconomic groups incur the lowest lifetime hospital expenditures, whereas higher socioeconomic groups experience the highest lifetime expenditures on long-term care services. Our findings remain robust across various socioeconomic measures and alternative estimation methodologies.ConclusionImproving the health status of lower socioeconomic groups to align with that of higher socioeconomic groups is costly but may ultimately reduce current healthcare expenditures. Enhanced health outcomes likely increase lifespan, leading to extended periods of healthcare consumption. However, since all socioeconomic groups tend to have similar lifetime healthcare expenditures, this prolonged consumption has limited impact on overall lifetime healthcare costs. Additionally, a significant benefit is the deferment of healthcare expenditures into the future. Overall, our results diminish concerns about socially inequitable utilization of healthcare resources while socioeconomic differences in health and longevity persist, even in a universal healthcare system.

General practitioners may improve cervical screening equality in France

BackgroundVulnerable social groups have greater difficulty in accessing care and a lower quality of care. Health systems focused on primary care appear to be more effective, efficient and equitable. However, difficulties in accessing primary care are persisting. We focused on primary care screening for cervical cancer through Cervico-Uterine Smear (CUS), which has been shown to be effective in reducing disease incidence and mortality. In this study, we aimed to investigate the characteristics of women who undergo CUS according to the category of health professionals (general practitioners or gynaecologists) performing CUS and to analyse potential differences in access to care in terms of socioeconomic and geographical characteristics.MethodsThis was a retrospective observational study based on data from the main health insurance schemes in France, allowing analysis of health care consumption according to socioeconomic levels and proximity to health care services. We included women aged 25 to 64 years in 2012 for whom CUS would be a relevant procedure (695,694). The sociodemographic and territorial indicators were age, geographical area deprivation, and the availability of gynaecological care. The analysis was performed using multinomial logistic regression.ResultsA total of 202,271 (29%) patients underwent CUS; of whom 68% underwent CUS administered by gynaecologists and 28% were administered by general practitioners (GPs). However, inequalities in CUS screening rates were observed, with a decrease in the number of CUSs performed with increased age, a rural location, deprivation, and sparse health care provisions. Deprived people seemed less penalised by GPs.ConclusionsInvolvement of General Practitioners may improve cervical screening equality in France. The organisation of health systems around primary care may allow a better access to care and to account for the specific needs of deprived populations.

Functional Impairments, Phenotypic Frailty and Sector-Specific Incremental Healthcare Costs in Older Adults.

This study quantifies incremental healthcare expenditures of functional impairments and phenotypic frailty in specific healthcare sectors. Pooled 2023 analysis of 4 prospective cohort studies linked with Medicare claims including 4318 women and 3847 men attending an index examination (2002-2011). Annualized inpatient, skilled nursing facility (SNF), home healthcare (HHC) and outpatient costs (2023 dollars) ascertained for 36 months following index examination. Functional impairments (difficulty performing 4 activities of daily living) and frailty phenotype (operationalized using 5 components) derived from cohort data. Weighted multimorbidity index including demographics derived from claims. Mean age at index examination was 79.2 years. After accounting for multimorbidity and each other, average annualized incremental costs of 3-4 functional impairments versus no impairment in women (men) was $2838 ($5516) in inpatient, $1572 ($1446) in SNF and $1349 ($1060) in HHC sectors; average incremental costs of phenotypic frailty versus robust in women (men) was $4100 (not significant for men) in inpatient, $1579 ($1254) in SNF and $645 ($526) in HHC sectors. Incremental inpatient costs were primarily due to a higher hospitalization risk, while incremental SNF and HHC costs were related to both increased risks of utilization and higher costs among individuals with utilization. Neither geriatric domain was associated with outpatient costs. In this study of community-dwelling beneficiaries, functional impairments were independently associated with higher subsequent expenditures in inpatient, SNF and HHC sectors among both sexes. Phenotypic frailty was independently associated with higher subsequent inpatient costs in women, and higher SNF and HHC costs in both sexes.

Outcomes After Early Pregnancy Loss Management With Mifepristone Plus Misoprostol vs Misoprostol Alone

Medication management of early pregnancy loss (EPL), or miscarriage, typically involves the administration of misoprostol with or without pretreatment with mifepristone. Combination treatment with mifepristone plus misoprostol is more effective than misoprostol alone but is underutilized in the US. To describe differences in clinical outcomes after EPL management with mifepristone plus misoprostol vs misoprostol alone using commercial claims data. This retrospective cohort study used national insurance claims data from the IBM MarketScan Research Database. Participants included pregnant people (aged 15-49 years) with private insurance who presented with an initial EPL diagnosis between October 1, 2015, and December 31, 2022. The primary exposure was the medication used to manage EPL (ie, mifepristone plus misoprostol or misoprostol alone). Other exposures of interest included demographic characteristics and location of service. The primary outcome was subsequent procedural management (eg, uterine aspiration) after EPL diagnosis and medication management. Other outcomes of interest included return visits, hospitalizations, and complications occurring in the subsequent 6 weeks. Descriptive statistics and bivariate analyses were used, and a multivariable logistic regression model was created to examine factors associated with subsequent procedural management. This study included 31 977 patients (mean [SD] age, 32.7 [5.6] years) with claims for EPL who received medication management. Of these patients, 3.0% received mifepristone plus misoprostol and 97.0% received misoprostol alone. Patients who received misoprostol with pretreatment with mifepristone were less likely to have subsequent uterine aspiration (10.5% vs 14.0%; P = .002), and they were also less likely to have subsequent emergency department (ED) visits for EPL (3.5% vs 7.9%; P < .001). In multivariable analysis, use of mifepristone plus misoprostol was associated with decreased odds of subsequent procedural management (adjusted odds ratio, 0.71 [95% CI, 0.57-0.87]). The findings of this study suggest that mifepristone is underutilized for the medication management of EPL, but its use is associated with a lower need for subsequent uterine aspiration and a decrease in the number of subsequent visits to an ED. Increasing access to mifepristone for EPL management may decrease health care utilization and expenditures.

Post-retirement employment behavior and older people’s expenditure: New evidence from urban China

Abstract Using data from the China Health and Retirement Longitudinal Study, this research investigates how post-retirement employment influences older people’s expenditure in urban China. By broadening the understanding of post-retirement employment behaviour from a consumer welfare perspective, this study expands the literature on retirement consumption and provides theoretical explanations, empirical insights and policy recommendations. The findings reveal that post-retirement employment behaviour reduces urban retirees’ household expenditure and has a more significant effect on men than on women, but this effect diminishes as consumption levels rise. Increasing income, promoting social participation and improving subjective health outcomes are all potential channels through which post-retirement employment can affect consumption. Further analysis shows two main reasons why post-retirement employment reduces older people’s expenditure: first, the increase in subjective health levels resulting from post-retirement employment reduces healthcare expenditure; second, post-retirement employment does not promote social participation and self-rated health for all consumption levels and all genders of retirees – it also decreases expenditure. Preliminary evidence suggests that internet use positively moderates the negative impact of post-retirement employment on older people’s expenditure. These findings provide policy implications for retirement policies and the promotion of the silver economy.

Disparities in healthcare-seeking behaviors and associated costs between Venezuelan migrants and Colombians residing in Colombia

BackgroundColombia, which hosts over 3 million of the Venezuelan diaspora, is lauded for its progressive approach to social integration, including providing migrants access to its universal health coverage system. However, barriers to healthcare persist for both migrant and host populations, with poorly understood disparities in healthcare-seeking behaviors and associated costs. This is the first study to link healthcare-seeking behaviors with costs for Venezuelan migrants in Colombia, encompassing costs of missing work or usual activities due to healthcare events.MethodsWe use self-reported survey data from Venezuelan migrants and Colombians living in Colombia (September-November 2020) to compare healthcare-seeking behaviors and cost variables by nationality using two-sampled t-tests or Chi-square tests (X2). The International Classification of Diseases was used to compare reported household illnesses for both populations. Average health service direct costs were estimated using the Colombian Government’s Suficiencia database and self-reported out-of-pocket (OOP) payments for laboratory and pharmacy services. Indirect costs were calculated by multiplying self-reported days of missed work or usual activities with estimated income levels, derived by matching characteristics using the Gran Enquesta Integrada de Hogares database. We calculate economic burdens for both populations, combining self-reported healthcare-seeking behaviors and estimated healthcare service unit costs across six healthcare-seeking behavior categories.ResultsDespite similar disease profiles, Venezuelan migrants are 21.3% more likely to forego formal care than Colombians, with 746.3% more Venezuelans reporting lack of health insurance as their primary reason. Venezuelan women and uninsured report the greatest difficulties in accessing health services, with accessing medications becoming more difficult for Venezuelan women during the COVID-19 pandemic. Colombians cost the health system more per treated illness event (US$40) than Venezuelans (US$26) in our sample, over a thirty-day period. Venezuelans incur higher costs for emergency department visits (123.5% more) and laboratory/ pharmacy OOP payments (24.7% more).ConclusionsWhile Colombians and Venezuelans share similar disease burdens, significant differences exist in access, cost, and health-seeking behaviors. Increasing Venezuelan health insurance enrollment and tackling accessibility barriers are crucial for ensuring healthcare equity and effectively integrating the migrant population. Findings suggest that improving migrant access to primary healthcare would produce savings in Colombian healthcare expenditures.

GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data

Coronary artery disease (CAD) is one of the most common cardiovascular disorders affecting millions of individuals globally. It is the leading cause of mortality in both the wealthy and impoverished nations. CAD patients exhibit a wide range of symptoms, some of which are not evident until a major incident occurs. The development of techniques for early detection and precise diagnosis is heavily dependent on research. The proposed system introduces a novel approach, Generative Adversarial Networks Augmented Naïve Bayes (GAN-ANB), to classify high-risk CAD patients using Coronary Computed Tomography Angiography (CCTA) imaging data. The database included images from Coronary Computed Tomography Angiography (CCTA) records of 5,000 individuals. The developed GAN framework consists of a generator to generate synthetic patient profiles, and a discriminator to distinguish between genuine and synthetic profiles to improve the identification of high-risk CAD patients. Adding synthetic data to the training process allowed the discriminator to be utilized further to improve predictive modeling. The performance of the GAN-enhanced prediction model was assessed using accuracy, sensitivity, specificity, and area under the Receiver Operating Characteristic curve (ROC). The model exhibited an outstanding Dice Similarity Coefficient (0.91), Mean Intersection Over Union (0.90), recall (0.96), and precision (0.98) in differentiating between high-risk and low-risk individuals. The identification of high-risk patients with CAD is greatly enhanced by the integration of GANs with clinical and imaging data. ROC of 0.99 was achieved by the GAN-ANB model, which outperformed conventional machine learning models, was achieved using the GAN-ANB model. High cholesterol level, diabetes, and some CCTA-derived imaging characteristics, including plaque load and luminal stenosis, were among the major predictors. This method offers a powerful tool for early diagnosis and intervention, potentially leading to improved patient outcomes and lower healthcare expenditure.

Drug-resistant Pantoea agglomerans Causing Bacteremia at a Tertiary Care Hospital in Kolkata, India: First Report of Carbapenem Resistance Mediated by OXA-181.

The spread of antibiotic resistance (ABR) in uncommon human pathogens endangers global public health, escalating morbidity, death, and healthcare expenditures. Pantoea agglomerans, a member of the Erwiniaceae family that rarely infects humans, is emerging as a drug-resistant nosocomial pathogen. Seven P. agglomerans isolates were recovered from bacteremia patients at a tertiary care hospital in Kolkata, West Bengal, between March 2022 and October 2022. The isolates were evaluated for phenotypic resistance, β-lactamase and plasmid-mediated quinolone resistance (PMQR) genes, plasmid profiling, and clonality assessment. All isolates were resistant to fluoroquinolones and third-generation cephalosporins, with four resistant to carbapenems. The following β-lactamases and PMQR genes were identified: blaOXA-1 (n = 1), blaTEM (n = 1), blaCTX-M-1 (n = 2), blaNDM (n = 5), blaOXA-181 (n = 1), qnrB (n = 2), and qnrS (n = 4). Six isolates carried up to seven plasmids ranging in size from 2kb to > 212kb. IncFI, FII, HI, and X3 plasmid types were detected in three isolates, while the rest remained untypable. Four different genetic patterns were noted. Four isolates were clonally related, with three being clonal. The swap of environmental isolates to human pathogens exacerbates the ABR dilemma, periling patient care and outcomes. This is the first report in India of a carbapenem-resistant P. agglomerans blood isolate carrying blaOXA-181. In-depth genomic research of drug-resistant microbes adapted to the environment-human interfaces might underpin the source-route-containment of ABR.

Environmental Quality, Extreme Heat, and Healthcare Expenditures

Although the effects of the environment on human health are well-established, the literature on the relationship between the quality of the environment and expenditures on healthcare is relatively sparse and disjointed. In this study, the Environmental Quality Index developed by the Environmental Protection Agency and heatwave days were compared against per capita Medicare spending at the county level. A general additive model with a Markov Random Field smoothing term was used for the analysis to ensure that spatial dependence did not undermine model results. The Environmental Quality Index was found to hold a statistically significant (p &lt; 0.05), multifaceted nonlinear association with spending, as was the average seasonal maximum heat index. The same was not true of heatwave days, however. In a secondary analysis on the individual domains of the index, the social and built environment components were significantly related to spending, but the air, water, and land domains were not. These results provide initial support for the simultaneous benefits of healthcare financing systems to mitigate some dimensions of poor environmental quality and consistently high air temperatures.

6914 Footing the Bill: Analysis of DFU-related amputation cost expenditure in a sample of HealthFirst Insured Patients

Abstract Disclosure: M. Hashmi: None. C. Schechter: None. A. Herrera Chancay: None. H. Tabassum: None. N. Shiraliyeva: None. J. Daily: None. A.K. Myers: None. Objective Diabetes complications, especially diabetic foot ulcers (DFU), are a leading cause of health care expenditures. This study examined the total cost of amputations and subsequent procedures in Health First insured (HF) patients initially treated at Montefiore Medical Center (MMC) for DFU. Using the database of HF, a large-scale Medicaid managed insurance organization, we captured healthcare utilization beyond the scope of one hospital system, obtaining a more comprehensive understanding of expenditures. We also explored the associations of demographic and lab values with expenditures. Methods The HF data extraction covered calendar years 2021 and 2022 plus YTD 2023. Amputations were identified by CPT codes 27880, 27590, 28810, and 28820. One hundred twenty patients were included in the sample as they had HF insurance and their initial admission for DFU was at one of three hospitals at MMC. Demographic and laboratory data were extracted from the EHR. Demographics, lab values within 3 months of the index admission, and total costs were summarized, and paid amounts per capita per year were calculated. Expenditures included amputation, labs, wound care, surgery, hyperbaric therapy, interpreter services, emergency department visits, home care visits, and outpatient follow-up (in-person and telehealth). We explored demographic, comorbidity, and lab values as predictors of expenditure levels using a bivariate analysis. Results The mean age was 60.6 ± 12 years with majority being male (n=79, 65.3%) and having Type 2 Diabetes (n=103, 96.3%). A significant portion identified their race as other (n=58, 53.7%) or ethnicity as Hispanic-Latino (n=60, 56.1%). Common comorbidities in this group were current or former tobacco use (n=64, 59.2%), chronic kidney disease (n=62, 57.9%), and hypertension (n=94, 86.2%). Glycemic control was suboptimal with an average Hemoglobin A1c of 9.1% (SD 3.1%) and average admission glucose of 232.2 mg/dL. C-reactive protein 17.1 (SD 34.1) and erythrocyte sedimentation rate 88.8 (SD 36.3) were both elevated for most patients. The DFU-related amputation cost was higher for Hispanic-Latino individuals, RR 1.97 (CI 1.04, 3.71) and for those with chronic kidney disease, RR 1.36 (1, 1.86). Female sex, serum glucose and BMI were moderately associated with increased relative cost. The study was limited by not having access to subsequent visits outside our health system and the retrospective nature of the study. Conclusions Our study highlights disparities among patients who underwent a DFU related amputation, with higher costs for Hispanic-Latino individuals, those with chronic kidney disease , and women, emphasizing the need for tailored interventions for these populations to ameliorate the high cost of DFU-related care. Presentation: 6/2/2024

Relationship between the Human Development Index and public social spending: European experience for Ukraine

This study focuses on the relationship between the Human Development Index (HDI) and public social expenditures, analyzing socio-economic models using the examples of selected European countries and Ukraine. The study used the values of the HDI, GDP, and indicators of public expenditures for social purposes, namely, healthcare, education, leisure, culture and religion, and social protection for the period from 2010 to 2021. The analysis targeted 13 European countries using data sets from Eurostat, the Office for National Statistics of the United Kingdom, the State Statistics Service of Ukraine, and the Ministry of Finance of Ukraine. The input time series were checked for lagged values using the STATISTICA software.Empirical evidence suggests a relationship between HDI and public social spending. An increase in the share of public social expenditures in GDP leads to an increase in HDI and vice versa. European countries with a social-democratic model of development have the highest level of centralization of public expenditure in GDP (34.72%) and the highest HDI (0.930), while countries belonging to the Southern European model have the lowest share of socially oriented public expenditure (30.41%) and the lowest HDI (0.873). In addition, there is a time lag between the investment of public funds in healthcare, education, leisure, culture and religion, and social protection and their impact on HDI changes. Thus, ensuring a high level of HDI is achieved, among other things, through state financial support for the relevant components of the social sphere and social protection. AcknowledgmentThe study is funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under project No. 09I03-03-V01-00130.

A Nationwide Physical Activity Intervention for 654,500 Adults in Singapore: Cost-Utility Analysis.

Increasing physical inactivity is a primary risk factor for diabetes and hypertension, contributing to rising health care expenditure and productivity losses. As Singapore's aging population grows, there is an increased disease burden on Singapore's health systems. Large-scale physical activity interventions could potentially reduce the disease burden but face challenges with the uncertainty of long-term health impact and high implementation costs, hindering their adoption. We examined the cost-effectiveness of the Singapore National Steps Challenge (NSC), an annual nationwide mobile health (mHealth) intervention to increase physical activity, from both the health care provider perspective, which only considers the direct costs, and the societal perspective, which considers both the direct and indirect costs. We used a Markov model to assess the long-term impact of increased physical activity from the NSC on adults aged 17 years and older. A Monte Carlo simulation with 1000 samples was conducted to compare two situations: the NSC conducted yearly for 10 years against a no-intervention situation with no NSC. The model projected inpatient and outpatient costs and mortality arising from diabetes and hypertension, as well as their complications. Health outcomes were expressed in terms of the quality-adjusted life-years (QALYs) gained. All future costs and QALYs were discounted at 3% per annum. Sensitivity analyses were done to test the robustness of our model results. We estimated that conducting the NSC yearly for 10 years with a mean cohort size of 654,500 participants was projected to prevent 6200 diabetes cases (95% credible interval 3700 to 9100), 10,500 hypertension cases (95% credible interval 6550 to 15,200), and 4930 deaths (95% credible interval 3260 to 6930). This led to a reduction in health care costs of SGD (Singapore dollar) 448 million (95% credible interval SGD 132 million to SGD 1.09 billion; SGD 1=US $0.73 for the year 2019). There would be 78,800 (95% credible interval 55,700 to 102,000) QALYs gained. Using a willingness-to-pay threshold of SGD 10,000 per QALY gained, the NSC would be cost-saving. When indirect costs were included, the NSC was estimated to reduce societal costs by SGD 1.41 billion (95% credible interval SGD 353 million to SGD 3.80 billion). The model was most sensitive to changes in the inpatient cost of treatment for diabetes complications, time horizon, and program compliance. In this modeling study, increasing physical activity by conducting a yearly nationwide physical activity intervention was cost-saving, preventing diabetes and hypertension and reducing mortality from these diseases. Our results provide important information for decision-making in countries that may consider introducing similar large-scale physical activity programs.

Healthcare expenditures among older immigrants in the US with Alzheimer's disease and related dementias: Population-based study between 2007 and 2020.

Using nationally representative datasets, this study examined differences in healthcare expenditures between US-born and foreign-born individuals aged 65 and above by the presence of Alzheimer's disease and related dementias (ADRD) and cognitive limitations (CL). This study further examined whether healthcare expenditures among foreign-born individuals vary by their duration of residence in the US. The study used the 2007-2020 Medical Expenditure Panel Survey (MEPS) and employed generalized linear regression models to estimate differences in healthcare expenditures between US-born and foreign-born older adults with ADRD, CL, and without ADRD or CL. Survey weights were applied to all estimates. Our study identified significant differences in healthcare expenditures among older adults by the presence of ADRD/CL and immigrant status. Having ADRD/CL had a more pronounced impact on high healthcare expenditures among foreign-born older adults than US-born adults with ADRD/CL, thereby diminishing the difference in healthcare expenditures by US nativity status for the older adults with ADRD or CL. In the analysis further distinguishing immigrants by their duration of residence, lower healthcare expenditures were primarily observed among foreign-born individuals with ADRD or CL who had lived in the US for less than ten years. Our results suggest potential shifts in costs resulting from delayed access to, and diagnosis or treatment of ADRD at a younger age, leading to increased healthcare needs and expenses among US foreign-born older adults.

Trends in Healthcare Expenditures and Incremental Healthcare Cost in Adults with Atrial Fibrillation in the United States

BackgroundAtrial fibrillation (AF) is associated with increased healthcare costs; however, comprehensive data on the financial burden of AF remain limited. ObjectivesTo delineate healthcare expenditures among patients with AF. MethodsWe used the longitudinal panels from the Medical Expenditure Panel Survey (MEPS) covering 2016-2019 to estimate healthcare expenditures associated with AF. We identified individuals aged ≥18 with AF in the first year of each panel (2016-2018) using the ICD-10 code. Covariates included sociodemographic characteristics and comorbidities. Healthcare expenditures were derived from the second year of each panel (2017-2019) to reflect the cost of having the condition for an entire year. Adjusted mean annual costs were calculated, including total healthcare expenditure, hospital inpatient, emergency room visits, office based, outpatient visits, home health visits, prescribed medicines, and other expenses. Adjusted models were used to estimate the mean annual incremental total healthcare cost associated with AF. ResultsThe weighted study population included 3,080,055 adults with AF (382 respondents, mean age 71.5, 89.9% White). The adjusted annual total healthcare cost among adults with AF totaled $14,083 (95% CI, $10,887 – 17,279) compared to $8,771 (95% CI, $ 8,106 – 9,436) for those without AF. Primary drivers of cost over time were hospital inpatient care, office based visits, and prescribed medications. The annual incremental total healthcare cost associated with AF was $5,312 per adult (in 2019 US dollars). ConclusionAdults with AF in the US face a higher financial burden across various healthcare services compared to those without the condition, with consistently increasing expenses in inpatient care and prescribed medicines. Further research is needed to identify the independent contribution of AF to these costs.

Marginal health care expenditures and health-related quality of life burden in patients with migraine.

Migraine, characterized by recurrent, severe headaches, presents a considerable challenge for patients, health care systems, and employers in the United States. However, there is a lack of recent estimates of the economic and humanistic burden in this population. To assess the incremental burden of migraine on the total all-cause health care costs and health-related quality of life (HRQoL) in the United States, using data from the Medical Expenditure Panel Survey (MEPS). This retrospective cross-sectional study included adults (≥18 years) with and without migraine on the 2019-2021 full-year consolidated MEPS Household Component and Medical Provider Component data files. Descriptive analyses were conducted to compare health care expenditures and HRQoL among patients with and without migraine. To estimate the marginal effect of migraine on total health care spending, a two-part model generalized linear models was employed. HRQoL was evaluated using physical component summary (PCS) and mental component summary (MCS) scores based on the items in the Veterans Rand 12 Health Survey. A multivariate linear regression with log-link was conducted to understanding the factors associated with PCS and MCS scores. All analyses accounted for complex survey design of MEPS. The study included approximately 1.14 million patients with migraine and approximately 184 million patients without migraine. The patients with migraine were majorly female (82.81%), aged 18-45 years (50.24%), and residing in the southern region of the United States (41.45%). A two-part model revealed that marginal total health care expenditures among patients with migraine were $6,078.56 (95% CI = $4,618.45-$8,141.34) higher compared with those without migraine. In terms of HRQoL, average PCS scores in migraine and nonmigraine groups were 39.79 and 42.15, respectively. The average MCS scores were 46.63 and 49.95 for migraine and nonmigraine groups, respectively. After adjusting for sociodemographic characteristics, multivariable linear regression models revealed that the PCS score was 2.14 (95% CI = 1.17-4.55) units lower, and the MCS score was 3.19 (95% CI = 2.51-6.07) units lower among patients with migraine compared with those without. Migraine imposes a substantial economic burden on both health care payers and patients in the United States. Notably, prescription drugs make up nearly half of the overall cost. Additionally, patients with migraine experience lower levels of physical and mental HRQoL compared with those without migraine.