Lifetime healthcare expenditures across socioeconomic groups.

BACKGROUND: A 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. METHOD: Using 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. RESULTS: Once 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. CONCLUSION: Improving 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.

The impact of long-term care insurance on healthcare utilization and expenditures among middle-aged and older Chinese adults: a quasi-experiment study.

BACKGROUND: Long-term care insurance (LTCI) is essential to alleviate the challenges of rapid aging. Research on LTCI in developing countries is limited and conclusions remain controversial. This study aims to empirically evaluate how the LTCI pilot in selected cities influences healthcare utilization and expenditures among middle-aged and older Chinese adults. METHODS: Data was from 2013, 2015, and 2018 China Health and Retirement Longitudinal Study. 167 LTCI and 8225 non-LTCI group participants were identified. Propensity score matching difference-in-difference method was used to evaluate the net effect of LTCI. The robustness of the findings was tested using a placebo test. RESULTS: In the pilot cities, around 17.8% of the population had LTCI coverage, with approximately 59.9% participating in urban employee medical insurance and 81.4% being urban residents. LTCI significantly reduced the monthly out-of-pocket outpatient expenditure by 313.764 yuan (P < 0.05), but had no significant effects on the inpatient utilization and expenditure. Further analysis of vulnerable subgroup revealed that LTCI decreased monthly outpatient visits frequency, total outpatient expenditure, and out-of-pocket outpatient expenditure by 0.523 times, 643.500 yuan, and 302.367 yuan, respectively (P < 0.05). Robustness tests confirmed the stability of these results. CONCLUSIONS: The LTCI coverage rate has remained low. While LTCI has contributed to reducing outpatient utilization and expenditure, its impact on controlling inpatient-related outcomes is limited. It is recommended to broaden LTCI coverage beyond existing participants to encompass more vulnerable populations, and improve awareness and quality of LTCI services to achieve a significant effect on inpatient care.

Study on the concentration, distribution, and persistence of health spending for the contributory scheme in Colombia.

Colombia is among the countries with the most robust financial protection against personal health spending in the world, with out-of-pocket spending ranking lowest across OECD countries. We investigate the evolution, distribution, and persistence of health spending by age group, sex, health care setting, health condition and geographic region for over 19 million users of Colombia's health system between 2013 and 2021 (contributory scheme). We use average patient-level expenditure data from the Health-Promoting Entities of the Ministry of Health and Social Protection. We applied multivariate statistical techniques such as multiple correspondence analysis, factor maps and correlations. For both sexes, average health expenditure increases gradually with age until 60 years, accelerating thereafter abruptly. Health conditions with the highest percentage of expenditure were those related to neoplasms, blood diseases, circulatory system, pregnancy, puerperium and perinatal period. We found that home-based care in Amazonía-Orinoquía is almost non-existent, and that outpatient care represents a high proportion in all age groups (over 65%) compared to the other regions. There is a strong persistence of expenditure from one year to the next (i.e. they can provide relevant information for prediction), especially in areas with a larger supply of health services such as Bogotá-Cundinamarca. To the authors' knowledge, this is the most comprehensive and detailed micro-analysis of health spending that has been developed for a Latin American country to date.

Healthcare expenditures for people with substance use disorders in drug courts compared to their peers in traditional courts.

Individuals within the criminal justice system are at greater risk of substance use-related morbidity and mortality and have substantial healthcare needs. In this quasi-experimental study, we assessed utilization patterns of Massachusetts Medicaid Program (MassHealth) services and associated expenditures among drug court probationers compared to a propensity score-matched sample of traditional court probationers. Risk of reoffending, employment status, age, and living arrangement data were used to calculate propensity scores and match probationers between the two court types, producing a final sample of 271 in each court (N=542). Utilization of services and associated expenditures were analyzed using a two-part model to address the skewed distribution of the data and to control for residual differences after matching from the perspective of the payer (i.e., MassHealth). The largest categories of MassHealth spending were prescription pharmaceuticals, hospital inpatient visits, and physician visits. In the unadjusted analysis, drug court probationers exhibited greater MassHealth services utilization and expenditures than traditional court probationers. However, drug courts enrolled more females, more people at higher risk of reoffending, and more people with opioid use disorders. After controlling for differences between the two court types, the difference in MassHealth services utilization and associated expenditures did not reach statistical significance. Drug court probationers were more likely to engage with healthcare services but did not incur significantly greater expenditures than traditional court probationers after controlling for differences between the samples.

Changes in Health Spending During the COVID-19 Pandemic by Expenditure Type and Household Profiles in Mexican Households.

OBJECTIVE: This study aimed to analyze the changes in the health expenditure of households in Mexico during the COVID-19 pandemic to approximate changes in healthcare that can lead to difficulties in detecting noncommunicable diseases, among others. METHODS: We compare health spending before and after the pandemic through various estimators using multivariate linear regression models at the household level. We also explore heterogeneous effects by zone, sex, and household composition by age. We explore potential mechanisms of change estimating probit models of healthcare. We use microdata from the National Health and Nutrition Survey 2018 and COVID-19. RESULTS: The results suggest a significant reduction in health spending, mainly referring to oral health, clinical analysis, and medical studies. Moreover, differences arise by type of area and household age profile. Changes are more significant among families with children younger than 12 years and households situated in urban areas. Regarding the mechanisms, the results suggest that the lower spending is not due to fewer health needs but rather due to less healthcare attention. CONCLUSION: The COVID-19 pandemic had a significant and heterogeneous impact on household health spending. This lower spending could lead to less detection of noncommunicable diseases, translating into more pressure on the health system in the medium and long term.

Sleep disturbances across two weeks predict future mental healthcare utilization.

STUDY OBJECTIVES: Insufficient sleep costs the U.S. economy over $411 billion per year. However, most studies investigating economic costs of sleep rely on one-time measures of sleep, which may be prone to recall bias and cannot capture variability in sleep. To address these gaps, we examined how sleep metrics captured from daily sleep diaries predicted medical expenditures. METHODS: Participants were 391 World Trade Center responders enrolled in the World Trade Center Health Program (mean age = 54.97 years, 89% men). At baseline, participants completed 14 days of self-reported sleep and stress measures. Mean sleep, variability in sleep, and a novel measure of sleep reactivity (i.e., how much people's sleep changes in response to daily stress) were used to predict the subsequent year's medical expenditures, covarying for age, race/ethnicity, sex, medical diagnoses, and body mass index. RESULTS: Mean sleep efficiency did not predict mental healthcare utilization. However, greater sleep efficiency reactivity to stress (b=$191.75, p=.027), sleep duration reactivity to stress (b=$206.33, p=.040), variability in sleep efficiency (b=$339.33, p=.002), variability in sleep duration (b=$260.87, p=.004), and quadratic mean sleep duration (b=$182.37, p=.001) all predicted greater mental healthcare expenditures. Together, these sleep variables explained 12% of the unique variance in mental healthcare expenditures. No sleep variables were significantly associated with physical healthcare expenditures. CONCLUSIONS: People with more irregular sleep, more sleep reactivity, and either short or long sleep engage in more mental healthcare utilization. It may be important to address these individuals' sleep problems to improve mental health and reduce healthcare costs.

Bridging the gaps in pediatric complex healthcare: the case for home nursing care among children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) comprise < 1% of the pediatric population, but account for nearly one-third of healthcare expenditures. Further, while CMC account for up to 80% of pediatric inpatient hospital costs, only 2% of Medicaid spending is attributed to home healthcare. As a result, the current health system heavily relies on family caregivers to fill existing care gaps. This study aimed to: (1) examine factors associated with hospital admissions among CMC and (2) contextualize the potential for home nursing care to improve outcomes among CMC and their families in South Carolina (SC). METHODS: This mixed-methods study was conducted among CMC, their family caregivers, and physicians in SC. Electronic health records data from a primary care clinic within a large health system (7/1/2022-6/30/2023) was analyzed. Logistic regression examined factors associated with hospitalizations among CMC. In-depth interviews (N = 15) were conducted among physicians and caregivers of CMC statewide. Patient-level quantitative data is triangulated with conceptual findings from interviews. RESULTS: Overall, 39.87% of CMC experienced ≥ 1 hospitalization in the past 12 months. CMC with higher hospitalization risk were dependent on respiratory or neurological/neuromuscular medical devices, not non-Hispanic White, and demonstrated higher healthcare utilization. Interview findings contextualized efforts to reduce hospitalizations, and suggested adaptations related to capacity and willingness to provide complex care for CMC and their families. CONCLUSIONS: Findings may inform multi-level solutions for accessible, high-quality home nursing care among CMC and their families. Providers may learn from caregivers' insight to emphasize family-centered care practices, acknowledging time and financial constraints while optimizing the quality of medical care provided in the home.

Economic burden and dosing trends of buprenorphine buccal film and transdermal patch in chronic low back pain.

Aim: Exploring prescribing trends and economic burden of chronic low back pain (cLBP) patients prescribed buprenorphine buccal film (Belbuca®) or transdermal patches. Methods: In the MarketScan® commercial insurance claims (employees and their spouses/dependents, 2018-2021), the first film or patch prescription date was an index event. The observation covered 6-month pre-index and 12-month post-index periods. Results: Patients were propensity-score matched (708 per cohort). Buprenorphine initiation had stable cost trends in buccal film and increasing trends in transdermal patch cohort. Between-cohort comparisons of healthcare expenditures, cost trends and resource utilization showed significant differences, mostly in favor of buccal film. Buccal film also had higher daily doses and wider dosing range. Conclusion: Buprenorphine film is more cost-effective cLBP treatment with more flexible dosing.

What is this article about? This retrospective study included patients with chronic low back pain (cLBP) and commercial insurance in the USA. Only patients treated with Belbuca®, a buprenorphine buccal film, or a buprenorphine transdermal patch were included. Patients were observed 6 months prior to and 12 months after the first buprenorphine prescription. Healthcare costs, cost trends, resource use and buprenorphine treatment characteristics were explored.What were the results? Patients with cLBP on buccal film had lower costs, stable cost trends and less healthcare resources used. Also, they had higher buprenorphine daily doses.What do the results mean? The results imply that buccal film is less costly for cLBP patients than patches. The buccal film had more flexible dosing with higher daily doses, which might be associated with better pain control.

Advance Care Planning (ACP) in Medicare Beneficiaries with Heart Failure.

BACKGROUND: Heart failure is a leading cause of death in the USA, contributing to high expenditures near the end of life. Evidence remains lacking on whether billed advance care planning changes patterns of end-of-life healthcare utilization among patients with heart failure. Large-scale claims evaluation assessing billed advance care planning and end-of-life hospitalizations among patients with heart failure can fill evidence gaps to inform health policy and clinical practice. OBJECTIVE: Assess the association between billed advance care planning delivered and Medicare beneficiaries with heart failure upon the type and quantity of healthcare utilization in the last 30 days of life. DESIGN: This retrospective cross-sectional cohort study used Medicare fee-for-service claims from 2016 to 2020. PARTICIPANTS: A total of 48,466 deceased patients diagnosed with heart failure on Medicare. MAIN MEASURES: Billed advance care planning services between the last 12 months and last 30 days of life will serve as the exposure. The outcomes are end-of-life healthcare utilization and total expenditure in inpatient, outpatient, hospice, skilled nursing facility, and home healthcare services. KEY RESULTS: In the final cohort of 48,466 patients (median [IQR] age, 83 [76-89] years; 24,838 [51.2%] women; median [IQR] Charlson Comorbidity Index score, 4 [2-5]), 4406 patients had an advance care planning encounter. Total end-of-life expenditure among patients with billed advance care planning encounters was 19% lower (95% CI, 0.77-0.84) compared to patients without. Patients with billed advance care planning encounters had 2.65 times higher odds (95% CI, 2.47-2.83) of end-of-life outpatient utilization with a 33% higher expected total outpatient expenditure (95% CI, 1.24-1.42) compared with patients without a billed advance care planning encounter. CONCLUSIONS: Billed advance care planning delivery to individuals with heart failure occurs infrequently. Prioritizing billed advance care planning delivery to these individuals may reduce total end-of-life expenditures and end-of-life inpatient expenditures through promoting use of outpatient end-of-life services, including home healthcare and hospice.

Challenges and countermeasures for China's centralised volume-based procurement policy in healthcare.

To reduce the cost of healthcare expenditures in China, the government has developed a centralised volume-based procurement (CVBP) policy for medicines and medical consumables. Based on tracking the development history of centralised procurement in China, this study explores China's CVBP model. By comparing the centralised procurement models and healthcare expenditure data among China, the United States (U.S), the United Kingdom (UK), and Singapore, we find that China still faces many challenges in implementing the CVBP policy. The main challenges are as follows. First, the policy cannot be guaranteed the effectiveness of implementation without a well-coordinated regulatory mechanism. Second, the CVBP rules and quality evaluation standards are imperfect. Third, the interests of healthcare companies cannot be guaranteed. Fourth, the policy affects the benefits of medical institutions, and the government has not built a compensation mechanism for medical institutions. Fifth, it poses a challenge to the operational capacity and innovation level of Chinese companies. Therefore, this paper posits a three-stage strategy and nine measures that could benefit China's progress in implementing the CVBP policy.

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.

Diagnostics for regression models with semicontinuous outcomes.

Semicontinuous outcomes commonly arise in a wide variety of fields, such as insurance claims, healthcare expenditures, rainfall amounts, and alcohol consumption. Regression models, including Tobit, Tweedie, and two-part models, are widely employed to understand the relationship between semicontinuous outcomes and covariates. Given the potential detrimental consequences of model misspecification, after fitting a regression model, it is of prime importance to check the adequacy of the model. However, due to the point mass at zero, standard diagnostic tools for regression models (eg, deviance and Pearson residuals) are not informative for semicontinuous data. To bridge this gap, we propose a new type of residuals for semicontinuous outcomes that is applicable to general regression models. Under the correctly specified model, the proposed residuals converge to being uniformly distributed, and when the model is misspecified, they significantly depart from this pattern. In addition to in-sample validation, the proposed methodology can also be employed to evaluate predictive distributions. We demonstrate the effectiveness of the proposed tool using health expenditure data from the US Medical Expenditure Panel Survey.

Surgical outcomes and healthcare expenditures among patients with dementia undergoing major surgery.

BACKGROUND: We sought to define surgical outcomes among elderly patients with Alzheimer's disease and related dementias (ADRD) following major thoracic and gastrointestinal surgery. METHODS: A retrospective cohort study was used to identify patients who underwent coronary artery bypass grafting (CABG), abdominal aortic aneurysm (AAA) repair, pneumonectomy, pancreatectomy, and colectomy. Individuals were identified from the Medicare Standard Analytic Files and multivariable regression was utilized to assess the association of ADRD with textbook outcome (TO), expenditures, and discharge disposition. RESULTS: Among 1,175,010 Medicare beneficiaries, 19,406 (1.7%) patients had a preoperative diagnosis of ADRD (CABG: n = 1,643, 8.5%; AAA repair: n = 5,926, 30.5%; pneumonectomy: n = 590, 3.0%; pancreatectomy: n = 181, 0.9%; and colectomy: n = 11,066, 57.0%). After propensity score matching, patients with ADRD were less likely to achieve a TO (ADRD: 31.2% vs. no ADRD: 40.1%) or be discharged to home (ADRD: 26.7% vs. no ADRD: 46.2%) versus patients who did not have ADRD (both p < 0.001). Median index surgery expenditures were higher among patients with ADRD (ADRD: $28,815 [IQR $14,333-$39,273] vs. no ADRD: $27,101 [IQR $13,433-$38,578]; p < 0.001) (p < 0.001). On multivariable analysis, patients with ADRD had higher odds of postoperative complications (OR 1.32, 95% CI 1.25-1.40), extended length-of-stay (OR 1.26, 95% CI 1.21-1.32), 90-day readmission (OR 1.37, 95% CI 1.31-1.43), and 90-day mortality (OR 1.76, 95% CI 1.66-1.86) (all p < 0.001). CONCLUSION: Preoperative diagnosis of ADRD was an independent risk factor for poor postoperative outcomes, discharge to non-home settings, as well as higher healthcare expenditures. These data should serve to inform discussions and decision-making about surgery among the growing number of older patients with cognitive deficits.

Impacts of national volume-based drug procurement policy on the utilization and costs of antihypertensive drugs in a Chinese medicine hospital: an interrupted time series analysis of 5138 patients.

Objectives: The study aimed to estimate the effects of National Volume-based Drug Procurement (NVBP) policy on drug utilization and medical expenditures of hypertension patients in public medical institutions in mainland China. Methods: This study used patient-level data based on electronic health records retrieved from the hospital information system of Nanjing Hospital of Chinese Medicine. Data on patients with hypertension who received care at this institution between 2016 and 2021 was used for analysis. Segmented linear regression models incorporating Interrupted Time Series (ITS) analysis were adopted to examine the effects of NVBP policy on drug utilization and health expenditures of eligible patients. Drug utilization volume and health expenditures were the primary outcomes used to assess the policy effects, and were measured using the prescription proportion of each drug class and the overall per-encounter treatment costs. Results: After the implementation of NVBP policy, the volume of non-winning drugs decreased from 54.42% to 36.25% for outpatient care and from 35.62% to 15.65% for inpatient care. The ITS analysis showed that the volume of bid-winning drugs in outpatient and inpatient settings increased by 9.55% (p < 0.001) and 6.31% (p < 0.001), respectively. The volume changes in non-volume based purchased (non-VBP) drugs differed between outpatients and inpatients. The proportion of non-VBP drugs immediately increased by 5.34% (p = 0.002) overall, and showed an upward trend in the outpatient setting specially (p < 0.001) during the post-intervention period. However, no significant differences were observed in the proportion of non-VBP drugs in inpatient setting (p > 0.05) in term of level change (p > 0.05) or trend change (p > 0.05). The average per-visit expenditures of outpatients across all drug groups exhibited an upward trend (p < 0.05) post policy intervention. In addition, a similar increase in the overall costs for chemical drugs were observed in inpatient settings (coefficient = 2,599.54, p = 0.036), with no statistically significant differences in the regression slope and level (p = 0.814). Conclusion: The usage proportion of bid-winning drugs increased significantly post policy intervention, indicating greater use of bid-winning drugs and the corresponding substitution of non-winning hypertensive drugs. Drug expenditures for outpatients and health expenditures per visit for inpatients also exhibited an upward trend, suggesting the importance of enhanced drug use management in Traditional Chinese Medicine hospital settings.

Direct diabetes-related healthcare expenditures in Slovenia: recent evolution and future projections based on population-level data.

OBJECTIVE: The burden of diabetes on individuals, healthcare systems, and society must be explored to improve and sustain diabetes care. With this aim, we estimated both past and future diabetes-related direct health expenditures in Slovenia. METHODS: Analysis of expenditures from the healthcare payer perspective during the 2019-2022 period was based on individual patient data on expenditures for seven groups of diabetes-related medical conditions from the population-level database of the Health Insurance Institute of Slovenia. Expenditure projections were prepared using the European Commission's methodology for budgetary projections. RESULTS: In the 2019-2022 period, average annual diabetes-related expenditures equaled €174.1 million (€1,108 per patient), with their average annual growth rate reaching 12.5%. Expenditures due to inpatient care (33%) and drugs used in diabetes (24%) had the highest shares. More than half of the expenditures were due to complications of diabetes. The diabetes-related expenditures as a share of GDP are projected to increase by 19.2% from 2019 to 2030, with slower yet continued growth up to 2050. CONCLUSIONS: Diabetes-related expenditures in Slovenia continue to rise. By focusing on the prevention and optimal management of diabetes, its impact on the healthcare system could be reduced significantly, given the magnitude of expenditures attributed to complications.

Diabetes is a chronic metabolic disease characterized by elevated blood sugar levels, leading to serious damage to the heart, blood vessels, eyes, kidneys, and nerves. The number of patients with diabetes has been increasing and accounted for about 10% of the world's population aged 20­79 years in 2021. Diabetes and its complications also represent a substantial economic burden for individuals, healthcare systems, and society. Using data extracted from the database of the Health Insurance Institute of Slovenia, we looked at the direct healthcare expenditures related to diabetes over the 2019­2022 period and estimated their future trends. During the observed period, the average annual diabetes-related expenditures from the healthcare payer perspective equaled €174.1 million (€1,108 per patient), with their average annual growth rate reaching 12.5%. Expenditures due to hospitalizations (33%) and drugs used in diabetes (24%) had the highest shares. More than half of the expenditures were due to the complications of diabetes. Diabetes-related expenditures as a share of GDP are projected to increase by 19.2% from 2019 to 2030, with slower yet continued growth up to 2050. Our results confirm the growing economic burden of diabetes in Slovenia. Given that modifiable risk factors significantly contribute to the development of diabetes, primary prevention programs to promote healthy lifestyles need to be strengthened. By improving the detection of diabetes and managing it optimally, the progression of the disease and the occurrence of its costly complications can also be prevented considerably.

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.

Evaluation of Healthcare Utilisation and Expenditures in Persons with Type 2 Diabetes Undergoing Bariatric-Metabolic Surgery.

PURPOSE: Changes in healthcare utilisation and expenditures after bariatric-metabolic surgery (BMS) for people with type 2 diabetes mellitus (T2DM) are unclear. We used the Dutch national all-payer claims database (APCD) to evaluate utilisation and expenditures in people with T2DM who underwent BMS. METHODS: In this cohort study, patients with T2DM who had BMS in 2016 were identified in the APCD. This group was matched 1:2 to a control group with T2DM who did not undergo BMS based on age, gender and healthcare expenditures. Data on healthcare expenditures and utilisation were collected for 2013-2019. RESULTS: In total, 1751 patients were included in the surgery group and 3502 in the control group. After BMS, total median expenditures in the surgery group stabilised (€ 3156 to € 3120) and increased in the control group (€ 3174 to € 3434). Total pharmaceutical expenditures decreased 28% in the surgery group (€957 to €494) and increased 55% in the control group (€605 to €936). In the surgery group, 67.1% did not use medication for T2DM in 2019 compared to 13.3% in the control group. Healthcare use for microvascular complications increased in the control group, but not in the surgery group. CONCLUSION: BMS in people with T2DM stabilises healthcare expenditures and decreases medication use and care use for microvascular complications. In contrast, healthcare use and expenditures in T2DM patients who do not undergo surgery gradually increase over time. Due to the progressive nature of T2DM, it is expected that these differences will become larger in the long-term.

Understanding Factors Influencing Geographic Variation in Healthcare Expenditures: A Small Areas Analysis Study.

Dramatic geographic variations in healthcare expenditures were documented by developed countries, but little is known about such variations under China's context, and what causes such variations. This study aims to examine variations of healthcare expenditures among small areas and to determine the associations between demand-, supply-factors, and per capita inpatient expenditures. This cross-sectional study utilized hospital discharge data aggregated within delineated hospital service areas (HSAs) using the small-area analysis approach. Linear multivariate regression modeling with robust standard errors was used to estimate the sources of variation of per capita inpatient expenditures across HSAs covering the years 2017 to 2019; the Shapley value decomposition method was used to measure the respective contributions of demand-, supply-side to such variations. Among 149 HSAs, demand factors explained most of the (87.4%) overall geographic variation among HSAs. With each 1% increase in GDP per capita and urbanization rate was associated with 0.099% and 0.9% increase in inpatient expenditure per capita, respectively, while each 1% increase in the share of females and the unemployment rate was associated with a 0.7% and 0.4% reduction in the per capita inpatient expenditures, respectively. In supply-side, for every 1 increase in hospital beds per 1000 population, the per capita inpatient expenditures rose by 2.9%, while with every 1% increase in the share of private hospitals, the per capita inpatient expenditures would decrease by 0.4%. With Herfindahl-Hirschman Index decrease 10%, the per capita inpatient expenditures would increase 1.06%. This study suggests demand-side factors are associated with large geographic variation in per capita inpatient expenditures among HSAs, while supply-side factors played an important role. The evaluation of geographic variations in per capita inpatient expenditures as well as its associated factors have great potential to provide an indirect approach to identify possibly existing underutilized or overutilized healthcare procedures.

Evaluation of claims data from a commercial value-based insurance product shows pediatric imaging is not a major driver of overall or pediatric healthcare expenditures.

BACKGROUND: Initiatives to reduce healthcare expenditures often focus on imaging, suggesting that imaging is a major driver of cost. OBJECTIVE: To evaluate medical expenditures and determine if imaging was a major driver in pediatric as compared to adult populations. METHODS: We reviewed all claims data for members in a value-based contract between a commercial insurer and a healthcare system for calendar years 2021 and 2022. For both pediatric (<18 years of age) and adult populations, we analyzed average per member per year (PMPY) medical expenditures related to imaging as well as other categories of large medical expenses. Average PMPY expenditures were compared between adult and pediatric patients. RESULTS: Children made up approximately 20% of members and 21% of member months but only 8-9% of expenditures. Imaging expenditures in pediatric members were 0.2% of the total healthcare spend and 2.9% of total pediatric expenditures. Imaging expenditures per member were seven times greater in adults than children. The rank order of imaging expenditures and imaging modalities was also different in pediatric as compared to adult members. CONCLUSION: Evaluation of claims data from a commercial value-based insurance product shows that pediatric imaging is not a major driver of overall, nor pediatric only, healthcare expenditures.

Total expenditure elasticity of spending on self-treatment and professional healthcare: a case of Russia.

The studies on the demand for healthcare in low- and middle-income countries rarely take into consideration the fact that many people spend their income on self-treatment and professional treatment. The estimation of the income elasticity of demand for self-treatment and professional treatment can show a more precise picture of the affordability of professional care. This paper contributes to the discussion around estimates of income elasticity of health spending and discussion whether professional care and self-treatment are close to a luxury good and inferior good respectively in a middle-income country. We apply the switching regression model to explain the choice between self-treatment and professional healthcare via estimates of the income elasticity. Estimates are made with the use of the Russian Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE), a nationally representative survey. While individual expenditure on professional treatment is higher than that on self-treatment, our estimates show that expenses on professional treatment can be income inelastic except when spending on medicines prescribed by a physician that are elastic. The results also indicate that cost of self-treatment is income elastic. In all cases, the considered income elasticities are statistically insignificant between professional and self-treatment.