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.

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.

Impact of major osteoporotic fractures on the use of healthcare resources in Catalonia, Spain

OBJECTIVES

To estimate the impact of first major osteoporotic fractures (MOF) on health resource use and healthcare expenditures in people aged ≥50 years in Catalonia, Spain.

DESIGN

Observational, retrospective study. The Catalan Health Surveillance System (CHSS) registry was used to obtain sociodemographic, clinical and expenditure data from all public centres in Catalonia (Spain).

SETTING AND PARTICIPANTS

Males and females aged ≥50 years who sustained a first major osteoporotic fracture between January 1, 2018, and December 31, 2020.

METHODS

Data on admissions to the emergency department, hospitalization and skilled nursing facilities, primary and specialized care visits, nonemergency medical transport, outpatient rehabilitation and pharmacy prescriptions were retrieved for each patient. Monthly and yearly mean usage rates, expenditure in euros (€) and incremental costs one and two years after fracture were calculated.

RESULTS

There were 64,403 patients with first MOF: 47,555 females and 16,848 males with a mean age (standard deviation) of 76.5 (12.0) years. The average annual expenditure increased from €4564 in the year before to €12,331 in the year following a hip fracture. For forearm fractures, the expenditure increased from €2511 to €4251, for vertebral fractures from €4146 to €6659, for pelvic fractures from €4442 to €7124, for humerus fractures from €3058 to €5992, and for multiple fractures from €4598 to €12,028. The average cost for overall fractures experienced a 110.3 % increase. The leading cause of health expenditure in the year following MOF was hospital admission. Expenditure in the second year post-fracture returned to pre-fracture levels. The use of some healthcare resources, especially visits to emergency services, increased in the prefracture month. Male sex, older age and high previous comorbidities were associated with a higher expenditure.

CONCLUSIONS

In people with a first MOF, healthcare expenditure doubled during the first-year post-facture, mostly in relation to inpatient care. The healthcare resource use increased during the previous month. This increase could potentially be attributed to the worsening of pre-existing comorbidities.

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.

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.

Trends in Racial Disparities in Healthcare Expenditures Among Senior Medicare Fee-for-service Enrollees in 2007-2020

Despite the universal healthcare coverages, racial disparities in healthcare expenditures among senior Medicare beneficiaries exist. A few studies explored how racial disparities in healthcare expenditures changed over past decades and how it affected differently across 4 minoritized races, by type of Medicare and poverty levels. We conducted a longitudinal study of 21 healthcare expenditures from senior Medicare fee-for-service enrollees to determine overall and secular trends in racial disparities in healthcare expenditures between 2007 and 2020, during which the Affordable Care Act (ACA) came into full force and the COVID-19 pandemic had begun. We found important disparities in healthcare expenditures across 4 minoritized races compared to Whites, even after adjusting for possible confounders for such disparities. Disparities between Hispanics/Asians and Whites were much greater than disparities between Blacks and Whites, in all Parts A, B, and D expenditures. This reality has not been sufficiently emphasized in the literature. Importantly, Black-White disparities in total Part B expenditure gradually worsened between 2007 and 2020, and Hispanic-White and Asian-White disparities worsened greatly during that time window. Health planners need to focus on these large disparities and develop methods to shrink them.

The impact of bleeding event frequency on health-related quality of life and work productivity outcomes in a European cohort of adults with haemophilia A: insights from the CHESS II study

BACKGROUND

Haemophilia A carries a substantial healthcare burden, affecting health-related quality of life (HRQoL). The Cost of Haemophilia in Men: a Socioeconomic Survey II (CHESS II), a retrospective real-world study, characterised the burden of haemophilia and its impact on HRQoL and work productivity. The current analysis explored the impact of bleeding events on HRQoL and work productivity in Europe. This analysis focused on data collected from males aged 18 to 64 years with haemophilia A without inhibitors who were receiving replacement factor products or a monoclonal antibody and were not participating in a clinical trial at the time of study recruitment. Descriptive statistics were analysed using scores from EuroQoL's EQ-5D-5L index and EQ-VAS analogue scale and the Work Productivity and Activity Index Specific Health Problem (WPAI:SHP) percentage scores stratified by the number of annual bleeding events (ABs) 0, 1, 2, 3-4, or ≥ 5.

RESULTS

Of 918 males with haemophilia A in CHESS II, 318 met inclusion criteria and had data available for HRQoL measures; mean age (SD) was 33.8 (12.1) years and 96% were White. Mean (SD) ABs of 2.7 (2.9) occurred over the preceding 12 months: 20% had 3 or 4 ABs; 17% had ≥ 5 ABs. Mean EQ-5D-5L index scores for patients with 0, 1, 2, 3-4, or ≥ 5 ABs were 0.92, 0.76, 0.76, 0.71, and 0.56, respectively. Mean (SD) EQ-VAS scores were 86.9 (13.6), with 0 ABs versus 69.5 (19.1) for 3 or 4 ABs and 61.2 (17.2) for ≥ 5 ABs. Mean percentage of overall work productivity loss on the WPAI:SHP questionnaire ranged from 9.70 to 0 ABs to 47.65 for ≥ 5 ABs.

CONCLUSIONS

In this European sample of adult men with haemophilia A, HRQoL and work productivity scores were lower among those reporting more AB events. Bleeding burden appears to affect HRQoL and productivity; however, this cross-sectional analysis limits the ability to draw firm conclusions on causality.

Access to sustainable healthcare infrastructure: a review of industrial emissions, coal fires, and particulate matter

Environmental health is critical for the economy's social welfare and environmental sustainability. Using time series data from 1975 to 2020, the research examines the short- and long-run relationship between environmental pollutants and healthcare costs in the context of Pakistan. The study's results reveal that short-term and long-term efforts towards cleaner development in terms of carbon emissions, coal combustion, nitrous oxide (N₂O) emissions, and industrial value-added have resulted in significant reductions in healthcare expenses due to improved management of industrial emissions. However, in the long run, particulate matter (PM_2.5) has a detrimental effect on a country's sustainable healthcare agenda, leading to increased healthcare costs. Furthermore, the increased use of coal-fired power plants that release polycyclic aromatic hydrocarbons (PAH) and revenue generated by contaminated production lead to higher out-of-pocket healthcare costs, increasing a country's risk of morbidity and mortality. The study's Granger causality estimations demonstrate that carbon emissions are responsible for emissions-driven healthcare expenses in a nation. Additionally, economic growth leads to increased carbon emissions and industrial toxins, which are also emission-led. Through variance decomposition analysis (VDA), the study finds that carbon emissions have the highest variance shock of 32.702% on healthcare expenditures in the next ten years. This is followed by polluted income and continued economic growth, which have a variance shock of 13.243% and 8.858%, respectively, over the same period. The findings indicate that the maximum healthcare benefits may be acquired by mitigating environmental pollutants via stringent environmental regulations, reducing industrial toxins through solid waste management techniques, and minimizing coal combustion reliance through renewable fuels. Environmental research is still required to provide more sustainable solutions to the sustainability of the global healthcare agenda.

The association of multiple chronic conditions and healthcare expenditures among adults with epilepsy in the United States

RATIONALE

Epilepsy is a frequent neurologic condition with important financial strains on the US healthcare system. The co-occurrence of multiple chronic conditions (MCC) may have additional financial repercussions on this patient population. We aimed to assess the association of coexisting chronic conditions on healthcare expenditures among adult patients with epilepsy.

METHODS

We identified a total of 1,942,413 adults (≥18 years) with epilepsy using the clinical classification code 83 from the MEPS-HC (Medical Expenditure Panel Survey Household Component) database between 2003 and 2014. Chronic conditions were selected using the clinical classification system (ccs), and categorized into 0, 1, or 2 chronic conditions in addition to epilepsy. We computed unadjusted healthcare expenditures per year and per individual (total direct healthcare expenditure, inpatient expenditure, outpatient expenditure, prescription medication expenditure, emergency room visit expenditure, home healthcare expenditure and other) by number of chronic conditions. We applied a two-part model with probit (probability of zero vs non-zero cost) and generalized linear model (GLM) gamma family and log link (for cost greater than zero) to examine the independent association between chronic conditions, and annual expenditures per individual, generating incremental costs with 0 chronic condition as reference.

RESULTS

Over half of the patients with epilepsy had at least two chronic conditions (CC). Yearly, for each patient with one and two chronic conditions, unadjusted total healthcare expenditures were two times ($10,202; 95 %CI $6,551-13,853) to nearly three times ($21,277; 95 %CI $12,971-25,583) higher than those with no chronic conditions ($6,177; 95 %CI $4,895-7,459), respectively. In general healthcare expenditures increased with the number of chronic conditions for pre-specified cost categories. The incremental (adjusted) total healthcare expenditure increased with the number of chronic conditions (1CC vs 0 CC: $3,238; 95 %CI $524-5,851 p-value = 0.015 and ≥2 CC vs 0 CC: $8,145; 95 %CI $5,935-10,895 p-value < 0.001). In general, for all cost categories, incremental healthcare expenditures increased with the number of chronic conditions with the largest increment noted between those with 2 CC and those with 0 CC for inpatient ($2,025: 95 %CI $867-3,1830), outpatient ($2,141; 95 %CI $1,321-2,962), and medication ($1,852; 95 %CI $1,393-2,310).

CONCLUSION

Chronic conditions are frequent among adult patients with epilepsy and are associated with a dose-response increase in healthcare expenditure, a difference driven by inpatient, outpatient, and medication prescription expenditures. Greater coordination of epilepsy care accounting for the presence of multiple chronic conditions may help lower the cost of epilepsy.

Can healthy ageing moderate the effects of population ageing on economic growth and health spending trends in Mongolia? A modelling study

BACKGROUND

 Population ageing will accelerate rapidly in Mongolia in the coming decades. We explore whether this is likely to have deleterious effects on economic growth and health spending trends and whether any adverse consequences might be moderated by ensuring better health among the older population.

METHODS

 Fixed-effects models are used to estimate the relationship between the size of the older working-age population (55-69 years) and economic growth from 2020 to 2100 and to simulate how growth is modified by better health among the older working-age population, as measured by a 5% improvement in years lived with disability. We next use 2017 data on per capita health spending by age from the National Health Insurance Fund to project how population ageing will influence public health spending from 2020 to 2060 and how this relationship may change if the older population (≥ 60 years) ages in better or worse health than currently.

RESULTS

 The projected increase in the share of the population aged 55-69 years is associated with a 4.1% slowdown in per-person gross domestic product (GDP) growth between 2020 and 2050 and a 5.2% slowdown from 2020 to 2100. However, a 5% reduction in disability rates among the older population offsets these effects and adds around 0.2% to annual per-person GDP growth in 2020, rising to nearly 0.4% per year by 2080. Baseline projections indicate that population ageing will increase public health spending as a share of GDP by 1.35 percentage points from 2020 to 2060; this will occur slowly, adding approximately 0.03 percentage points to the share of GDP annually. Poorer health among the older population (aged ≥ 60 years) would see population ageing add an additional 0.17 percentage points above baseline estimates, but healthy ageing would lower baseline projections by 0.18 percentage points, corresponding to potential savings of just over US$ 46 million per year by 2060.

CONCLUSIONS

 Good health at older ages could moderate the potentially negative effects of population ageing on economic growth and health spending trends in Mongolia. Continued investment in the health of older people will improve quality of life, while also enhancing the sustainability of public budgets.

The association of resilience, social connections, and internal locus of control with pain outcomes among older adults

Our objective was to investigate the hypothesis that psychological resources, including resilience, social connections, and internal locus of control, separately and in additive combinations, would be associated with selected pain outcomes: 1) days of opioid use and 2) medical/drug expenditures over 2 years. A mailed survey was sent to a stratified sample of older adults age≥65 with diagnosed back pain, osteoarthritis, and/or rheumatoid arthritis. Each of the resources was dichotomized as high/low and/or counted with equal weighting. Among respondents (N=3,131), the prevalence of mild/no and moderate/severe pain severity was 59% and 41%, respectively. As hypothesized, each resource was associated with lower levels of pain; additively, reported pain severity decreased as the number of resources increased. For moderate/severe pain, there was reduced opioid use among those with more resources; and, for mild/no pain, decreased medical/drug expenditures among those with ≥2 resources. Interventions that integrate psychological resources may enhance their effectiveness.

Prevention of COVID-19 pandemic through technological innovation: ensuring global innovative capability, absorptive capacity, and adaptive healthcare competency

The study examines the role of technology transfer in preventing communicable diseases, including COVID-19, in a heterogeneous panel of selected 65 countries. The study employed robust least square regression and innovation accounting matrixes to get robust inferences. The results found that overall technological innovation, including innovative capability, absorptive capacity, and healthcare competency, helps reduce infectious diseases, including the COVID-19 pandemic. Patent applications, scientific and technical journal articles, trade openness, hospital beds, and physicians are the main factors supporting the reduction of infectious diseases, including the COVID-19 pandemic. Due to inadequate research and development, healthcare infrastructure expenditures have caused many communicable diseases. The increasing number of mobile phone subscribers and healthcare expenditures cannot minimize the coronavirus pandemic globally. The impulse response function shows an increasing number of patent applications, mobile penetration, and hospital beds that will likely decrease infectious diseases, including COVID-19. In contrast, insufficient resource spending would likely increase death rates from contagious diseases over a time horizon. It is high time to digitalize healthcare policies to control coronavirus worldwide.

The association of physical activity with loneliness, social isolation, and selected psychological protective factors among older adults

The primary objectives were to investigate the association of physical activity levels with 1) loneliness and social isolation; 2) protective factors: resilience, purpose-in-life, and perception of aging; and 3) the impact of these factors on healthcare expenditure patterns across physical activity levels. The study sample was identified from adults age ≥65 who completed a health survey in 2018 or 2019 (N=6,652). Among survey respondents, the prevalence of low, moderate, and high physical activity levels was 29%, 31%, and 41%, respectively. Moderate and high physical activity were associated with 15%-30% lower likelihoods of loneliness and social isolation; and with 27% to 150% higher protective factors. In addition, physical activity was associated with the mitigation of increased healthcare expenditures associated with loneliness, social isolation, and low levels of protective factors. Thus, physical activity could serve as an intervention to reduce loneliness and social isolation, augment protective factors, and mitigate excess healthcare expenditures.

Nexus between non-renewable energy production, CO2 emissions, and healthcare spending in OECD economies

The present study investigates the dynamic relationships between non-renewable energy production from fossil resources, healthcare expenditures, and carbon dioxide (CO₂) emissions in the OECD region. This study has used the balanced panel of 38 OECD countries spanning from 2008 to 2018. This study is employing panel vector auto-regression econometric approach based on generalized method of moment. The study reveals the following interesting outcomes: The response of energy production from fossil resources to healthcare expenditures is positive; energy production has a positive unidirectional causal relationship with CO₂ emissions, whereas CO₂ emissions have insignificant relation with energy production. There is a positive bidirectional relationship between healthcare spending and CO₂ emissions, but there is no evidence that healthcare spending causes energy production. Furthermore, the outcomes present the essential policy consequences.

Geographic variations in health care resource utilization following elective ACDF for cervical spondylotic myelopathy: A national trend analysis

BACKGROUND

As health care expenditures continue to increase, standardizing health care delivery across geographic regions has been identified as a method to reduce costs. However, few studies have demonstrated how the practice of elective spine surgery varies by geographic location. The aim of this study was to assess the geographic variations in management, complications, and total cost of elective anterior cervical discectomy and fusion (ACDF) for cervical spondylotic myelopathy (CSM).

METHODS

The National Inpatient Sample database (2016-2017) was queried using the ICD-10-CM procedural and diagnostic coding systems to identify all adult (≥18 years) patients with a primary diagnosis of CSM undergoing an elective ACDF. Patients were divided into regional cohorts as defined by the U.S. Census Bureau: Northeast, Midwest, South, and West. Weighted patient demographics, Elixhauser comorbidities, perioperative complications, length of stay (LOS), discharge disposition, and total cost of admission were assessed.

RESULTS

A total of 17,385 adult patients were identified. While the age (p=0.116) and proportion of female patients (p=0.447) were similar among the cohorts, race (p<0.001) and healthcare coverage (p<0.001) varied significantly. The Northeast had the largest proportion of patients in the 76-100th household income quartile (Northeast: 32.1%; Midwest: 16.9%; South: 15.7%; West: 27.5%, p<0.001). Complication rates were similar between regional cohorts (Northeast: 10.1%; Midwest: 12.2%; South: 10.3%; West: 11.9%, p=0.503), as was LOS (Northeast: 2.2±2.4 days; Midwest: 2.1±2.4 days; South: 2.0±2.5 days; West: 2.1±2.4 days, p=0.678). The West incurred the greatest mean total cost of admission (Northeast: $19,167±10,267; Midwest: $18,903±9,114; South: $18,566±10,152; West: $24,322±15,126, p<0.001). The Northeast had the lowest proportion of patients with a routine discharge (Northeast: 72.0%; Midwest: 84.8%; South: 82.3%; West: 83.3%, p<0.001). The odds ratio for Western hospital region was 3.46 [95% CI: (2.41, 4.96), p<0.001] compared to the Northeast for increased cost.

CONCLUSION

Our study suggests that regional variations exist in elective ACDF for CSM, including patient demographics, hospital costs, and nonroutine discharges, while complication rates and LOS were similar between regions.

Socio-economic and corporate factors and COVID-19 pandemic: a wake-up call

The novel coronavirus 2019 (COVID-19) emerges from the Chinese city Wuhan and its spread to the rest of the world, primarily affected economies and their businesses, leading to a global depression. The explanatory and cross-sectional regression approach assesses the impact of COVID-19 cases on healthcare expenditures, logistics performance index, carbon damages, and corporate social responsibility in a panel of 77 countries. The results show that COVID-19 cases substantially increase healthcare expenditures and decrease corporate social responsibility. On the other hand, an increase in the coronavirus testing capacity brings positive change in reducing healthcare expenditures, increased logistics activities, and corporate social responsibility. The cost of carbon emissions increases when corporate activities begin to resume. The economic affluence supports logistics activities and improves healthcare infrastructure. It linked to international cooperation and their assistance to supply healthcare logistics traded equipment through mutual trade agreements. The greater need to enhance global trade and healthcare logistics supply helps minimize the sensitive coronavirus cases that are likely to provide a safe and healthy environment for living.

The Impact of Immediate Initiation of Antiretroviral Therapy on Patients' Healthcare Expenditures: A Stepped-Wedge Randomized Trial in Eswatini

Immediate initiation of antiretroviral therapy (ART) for all people living with HIV has important health benefits but implications for the economic aspects of patients' lives are still largely unknown. This stepped-wedge cluster-randomized controlled trial aimed to determine the causal impact of immediate ART initiation on patients’ healthcare expenditures in Eswatini. Fourteen healthcare facilities were randomly assigned to transition at one of seven time points from the standard of care (ART eligibility below a CD4 count threshold) to the immediate ART for all intervention (EAAA). 2261 patients living with HIV were interviewed over the study period to capture their past-year out-of-pocket healthcare expenditures. In mixed-effects regression models, we found a 49% decrease (RR 0.51, 95% CI 0.36, 0.72, p < 0.001) in past-year total healthcare expenditures in the EAAA group compared to the standard of care, and a 98% (RR 0.02, 95% CI 0.00, 0.02, p < 0.001) decrease in spending on private and traditional healthcare. Despite a higher frequency of HIV care visits for newly initiated ART patients, immediate ART initiation appears to have lowered patients’ healthcare expenditures because they sought less care from alternative healthcare providers. This study adds an important economic argument to the World Health Organization’s recommendation to abolish CD4-count-based eligibility thresholds for ART.

Demographic, psychological, and environmental factors affecting student's health during the COVID-19 pandemic: on the rocks

The novel coronavirus (COVID-19) is spreading exponentially, increasing fear, depression, and other mental health disorders in the general public. Pakistan's economy is suffered mainly by the novel coronavirus. The massive healthcare expenditures bring inadequacy to manage COVID-19. The study explored the effects of coronavirus fear among the students who remain in their homes due to educational institutions' closure. The study results show that female students mostly fear the coronavirus pandemic compared to their male counterparts that negatively impact their health. The "age" of the students and "household size" positively impact students' health, while the student's existing "healthcare profile" is not competitive enough to escape from the deadly coronavirus. The "knowledge" for the coronavirus pandemic and its prevention guidelines is the only solution to contain coronavirus. Simultaneously, "ignorance" is the foremost factor that could be more dangerous to spread coronavirus among the students; besides the COVID-19 pandemic, students and general public health mainly suffered from environmental pollution. The current epidemic also exacerbated environmental concerns among students isolated in their homes, and their outdoor activities are primarily limited. Hence, the student's quality of life is exposed mainly to environmental pollution over time. The "healthcare expenditures" and "government support" both are not competitive enough to control novel coronavirus. Thus, it required more sustainable strategic policies and national unity to controlled coronavirus with firm conviction and provincial synchronization.

Cost of Readmissions Following Anterior Cervical Discectomy and Fusion: Insights from the Nationwide Readmissions Database

BACKGROUND

Postoperative readmissions are a significant driver of variation in bundled care costs associated with cervical spine surgery.

OBJECTIVE

To determine the factors predicting the cost of readmission episodes following elective anterior cervical discectomy and fusion (ACDF).

METHODS

We queried the Healthcare Cost and Utilization Project Nationwide Readmissions Database for patients undergoing elective ACDF during 2012 to 2015. Multivariable linear regression was performed to establish the factors associated with the cost of each 30-/90-d readmission episode.

RESULTS

A total of 139 877 and 113 418 patients met inclusion criteria for the evaluation of 30- and 90-d readmissions, respectively. Among these, the national rates of 30- and 90-d readmission after an elective ACDF were 3% and 6%, respectively. The median cost of a 30- and 90-d readmission episode was $6727 (IQR: $3844-$13 529) and $8507 (IQR: $4567-$17 460), respectively. Relative predictor importance analysis revealed that the number of procedures at index admission (IA), length of stay at IA, and time elapsed between index surgical admission and readmission were the top predictors of both 30- and 90-d readmission costs (all P < .001). Although cervical myelopathy accounted for only 3.6% of all 30-d readmissions, it accounted for the largest share (8%) of 30-d readmission costs.

CONCLUSION

In this analysis from a national all-payer database, we determined the factors associated with the cost of readmissions following elective ACDF. These results are important in assisting policymakers and payers with a better risk adjustment in bundled care payment systems and for surgeons in implementing readmission cost-reduction efforts.

Stylized heterogeneous dynamic links among healthcare expenditures, land urbanization, and CO2 emissions across economic development levels

This research examines the heterogeneous dynamic links among healthcare expenditures, land urbanization, and CO₂ emissions across the development levels of China. To this end, data of 27 Chinese provinces are considered from 1999 to 2018. Theoretically, this research developed a healthcare expenditures-augmented Stochastic Impacts of Regression by Population, Affluence, and Technology (STIRPAT) model to incorporate healthcare expenditures as a determinant of affluence. Empirically, this research established a system of simultaneous equations based on the healthcare expenditures-augmented STIRPAT model to estimate the links among the variables. As a pre-analysis, second-generation Westerlund cointegration is applied and found the long-term equilibrium association among the variables. The long-run estimations and short-run causality are done by employing dynamic common correlated effects mean group method (DCCEMGM) and Dumitrescu-Hurlin causality. A heterogeneous long-run equilibrium linkage is confirmed to exist among the variables of interest. Concerning the long-run estimates, firstly, the healthcare expenditures growth and land urbanization exhibited a bilateral positive link. Secondly, CO₂ emissions and healthcare expenditures growth manifested the existence of a bilateral positive link. And thirdly, a unilateral positive (negative) link is revealed to exist from a linear term (squared term) of land urbanization to CO₂ emissions. Concerning the short-run results, firstly, a bilateral causal bond exists between the land urbanization and healthcare expenditures growth. Secondly, a bilateral causal bond prevails between CO₂ emissions growth and healthcare expenditures growth. Finally, a unilateral causal bond is operational from land urbanization to CO₂ emissions growth. In terms of the nature of the link, the long-run findings are consistent across the data samples. However, considering the degree of influence, heterogeneity is confirmed across the development levels for both long- and short-run. It infers that relatively more (less) developed regions showed relatively strong (weak) influence. Based on empirical findings, relevant policies are recommended.

Contemporary relationship between medical expenditures and quality of life among adults with epilepsy in the United States

AIMS

Epilepsy exacts substantial adverse economic and quality of life (QoL) costs. Clarifying the quantitative and qualitative relationships between total and out-of-pocket (OOP) healthcare expenditures and QoL could shed insights into how they influence each other, and have done so over recent times.

METHODS

We used the Medical Expenditure Household Components 2003-2014 to identify a total of 2450 adults with epilepsy, representing a weighted population of 1,942,413. Quality of life was assessed using the Physical Component Summary (PCS) and the Mental Component Summary (MCS) derived from the Short-form 12 Version 2 (SF-12 V2), converted into quartiles of equal distribution, with higher quartiles indicating a better QoL. We computed unadjusted mean and adjusted (through a generalized linear model (GLM)) total and OOP healthcare expenditures by QoL categories among adults with epilepsy (reported as dollars in 2016).

RESULTS

The pooled estimates of total healthcare expenditures decreased as PCS and MCS quartiles of QoL increased [PCS: costs for quartile 1 = $21,792 (95% confidence interval (CI): $18,416-$25,168 vs. costs for quartile 4 = $6057 (95% CI: $4648-$7466) and MCS: costs for quartile 1 = $19,040 (95% CI: $15,544-$22,535) vs. quartile 4 = $12,939 (95% CI: $8450-$17,429)]. Similarly, the pooled estimates of OOP healthcare expenditures and QoL were inversely related [PCS: costs for quartile 1 = $1849 (95% CI: $1583-$2114) vs. costs for quartile 4 = $948 ($709-$1187) and MCS: costs for quartile 1 = 1812 (95% CI: $1483-2141) vs. quartile 4 = $1317 (95% CI: $982-$1652)]. The association between QoL and total and OOP healthcare expenditures was unchanged after adjusting for socioeconomic and healthcare system related confounders in the GLM. Overall, healthcare expenditures were stable across years independently of the QoL; only OOP expenditures decreased between 2003-2006 and 2011-2014 for quartile 1 of PCS and MCS.

CONCLUSION

Quality of life and OOP health expenditures are independently and inversely related to each other among adults with epilepsy. Over the decade studied in the United States, there was a decrease in OOP health expenditures among those patients with epilepsy with the lowest QoL, possibly reflecting a rise in insurance coverage after the Affordable Care Act.

Impact of average temperature, energy demand, sectoral value added, and population growth on water resource quality and mortality rate: it is time to stop waiting around

It is an overwhelming concern that increases in global average temperature lead to serious consequences on the natural environment in the form of deteriorating water resource quality and damaging healthcare sustainability agenda. The sustainable innovation forum (COP21) shows a high concern on climate changes and suggested to reduce global average temperature less than 2 °C. The study brings an idea from the stated theme and analyzed the relationship between climate change and water resource quality in order to redesign economic and environmental policies to improve water quality and healthcare sustainability in the context of Pakistan. The country has serious issues regarding the provision of safe drinking water, improved water resource quality, and healthcare sustainability, which can be achieved by sustainable policies to handle the extreme temperature in Pakistan. The study employed simultaneous generalized method of moments (GMM) technique in order to estimate parameters of the study during the period of 1980-2016. The results show that energy demand and industry value added substantially decrease water resource quality (WRQ), while agriculture value added and per capita income significantly increase WRQ in a country. The other regression apparatus, where health expenditures serve as the response variable, shows that average temperature, industry value added, population growth, and foreign direct investment (FDI) inflows significantly increase healthcare expenditures while WRQ has a negative impact on healthcare expenditures in a country. The final regression model shows that average temperature and per capita income decrease, while WRQ and industrial value added increase mortality rate in a country. The overall results confirm that WRQ affected by climate change, energy demand, and population growth that need sustainable water resource policies in order to achieve long-term sustained growth. The climate actions required more policy instruments to combat environmental challenges that should support healthcare sustainability agenda across the globe.

The additive impact of multiple psychosocial protective factors on selected health outcomes among older adults

Our objective was to investigate the additive properties of five psychosocial protective factors: purpose-in-life, resilience, optimism, internal locus of control and social connections. Self-reported psychological (depression, stress) and physical (health status, functionality) health outcomes and measured healthcare utilization and expenditures were included. The study sample was identified from adults age ≥65 who completed a health survey during May-June 2019 (N = 3,577). Each of the five protective factors was dichotomized as high/low (1/0) and counted with equal weighting. The protective factors were additive such that significant improvements in psychological and physical health outcomes were evident across factor subgroups: as the number of factors increased, health outcomes improved. The magnitude of the improvements was greatest between 0 and 1 factor. In addition, a significant linear trend for reduced healthcare expenditures ($1,356 reduction per factor added) was evident. Interventions promoting at least one protective factor would be beneficial for older adult populations.

Does communicable diseases (including COVID-19) may increase global poverty risk? A cloud on the horizon

Coronavirus epidemic can push millions of people in poverty. The shortage of healthcare resources, lack of sanitation, and population compactness leads to an increase in communicable diseases, which may increase millions of people add in a vicious cycle of poverty. The study used the number of factors that affect poverty incidence in a panel of 76 countries for a period of 2010-2019. The dynamic panel GMM estimates show that the causes of death by communicable diseases, chemical-induced carbon and fossil fuel combustion, and lack of access to basic hand washing facilities menace to increase poverty headcounts, whereas, an increase in healthcare expenditures substantially decreases poverty headcounts across countries. Further, the results show the U-shaped relationship between economic growth and poverty headcounts, as economic growth first decreases and later increase poverty headcount due to rising healthcare disparities among nations. The causality estimates show that lack of access to basic amenities lead to increase of communicable diseases including COVID-19 whereas chemical-induced carbon and fossil fuel emissions continue to increase healthcare expenditures and economic growth in a panel of selected countries. The rising healthcare disparities, regional conflicts, and public debt burden further 'hold in the hand' of communicable diseases that push millions of people in the poverty trap.

Examining racial and ethnic trends and differences in annual healthcare expenditures among a nationally representative sample of adults with arthritis from 2008 to 2016

BACKGROUND

Disparities in health care utilization and outcomes for racial and ethnic minorities with arthritis are well-established. However, there is a paucity of research on racial and ethnic differences in healthcare expenditures and if this relationship has changed over time. Our objectives were to: 1) examine trends in annual healthcare expenditures for adults with arthritis by race and ethnicity, and 2) determine if racial and ethnic differences in annual healthcare expenditures were independent of other factors such as healthcare access and functional disability.

METHODS

We used the Medical Expenditures Panel Survey (2008-2016) to examine trends in annual healthcare expenditures within and between racial and ethnic groups with arthritis (n = 227,663). A two-part model was used to estimate the marginal differences in expenditures by race and ethnicity after adjusting for relevant covariates, including the impact of healthcare access.

RESULTS

Between 2008 and 2016, there were no significant changes in unadjusted healthcare expenditures within any of the racial and ethnic groups, but the trend among non-Hispanic whites did differ significantly from Hispanics and Other. In fully adjusted analysis, mean annual expenditures for non-Hispanic whites was $946, $939, and $1178 more than non-Hispanic blacks, Hispanics, and Other, respectively (p < .001). Healthcare access also independently explained expenditure differences in this population with adults who delayed care spending significantly more ($2629) versus those who went without care spending significantly less (-$1591).

CONCLUSIONS

Race and ethnicity are independent drivers of healthcare expenditures among adults with arthritis independent of healthcare access and functional disability. This underscores the need for ongoing research on the factors that influence persistent racial and ethnic differences in this population.

The impact of internal locus of control on healthcare utilization, expenditures, and health status across older adult income levels

Our objectives were to 1) determine the prevalence of locus of control (LOC) dimensions stratified by older adult income levels; 2) characterize internal LOC attributes within income subgroups; and 3) investigate LOC associations with healthcare utilization and expenditures; self-rated health and functionality. The survey sample was identified from adults age ≥65 years with diagnosed pain conditions. Internal LOC characteristics were determined from logistic regressions; outcomes regression-adjusted. Among respondents, internal prevalence for low (N = 554), medium (N = 1,394) and high income (N = 2040) was 27%, 30% and 30%, respectively. Internal was associated with high resilience, less stress, exercise and less opioid use across income levels. Lower-income internal was additionally associated with diverse social networks, physical therapy and less drug use. Those with high internal generally had lower healthcare utilization and expenditures; better self-rated health and functionality. Internal LOC is a powerful positive resource associated with better health outcomes, especially influential for lower income.

Healthcare expenditures among community-dwelling adults with thyroid cancer in the United States: A propensity score matched analysis

Objective

This study assessed the excess healthcare expenditures and factors associated with it among community-dwelling adults with thyroid cancer compared to non-cancer controls in the United States.

Method

A retrospective, cross-sectional, matched case-control study design was used by pooling multiple years of Medical Expenditure Panel Survey (MEPS) data (2002–2012). The eligible study sample comprised of adults (age ≥18 years), who were alive during the calendar year and reported positive healthcare expenditure. The case group consisted of adults with thyroid cancer only while the control group consisted of adults who did not have any form of cancer. Total and subtypes of mean annual healthcare expenditures comprised the main study outcome. We also calculated the total and subtypes of out-of-pocket (OOP) expenditures as well as OOP as a percentage of household income. Ordinary Least Square (OLS) regressions on log-transformed expenditures were conducted to elucidate the influence of different factors on healthcare expenditures among adults with thyroid cancer.

Results

The yearly average total healthcare expenditures among adults with thyroid cancer was significantly higher compared to propensity score matched controls ($9,585 vs. $5,830, p < 0.001). Similar observations were found in terms of inpatient, and outpatient expenditures. Functional status as well as comorbid conditions were significantly associated with excess expenditures. The yearly average total OOP expenditure for adults with thyroid cancer was significantly higher compared to matched controls ($1,425 vs. $974, p < 0.001), with major differences observed in inpatient OOP ($178 vs. $24, p = 0.003), outpatient OOP ($435vs. $256, p < 0.001), and prescription OOP ($554 vs. $423, p < 0.001) expenditures. There was a significant (p < 0.001) difference between the average OOP as a percentage of household income between adults with thyroid cancer (Mean: 7.54%, S.E: 1.52%) and matched controls (Mean: 5.80%, S.E: 0.47%).

Conclusions

Our findings suggest that holistic care approach could be helpful to significantly reduce the economic burden in this population. Viable strategies such as limits on OOP costs are required to minimize this high OOP burden among cancer survivors and their families.

Geographic variation in inpatient costs for Acute Myocardial Infarction care: Insights from Italy

Geographic variations in healthcare expenditures have been widely reported within and between countries. Nevertheless, empirical evidence on the role of organizational factors and care systems in explaining these variations is still needed. This paper aims at assessing the regional differences in hospital spending for patients hospitalized for Acute Myocardial Infarction (AMI) in Tuscany and Lombardy regions (Italy), which rank high in terms of care quality and that have been, at least until 2016, characterized by quite different governance systems. Generalized linear models are performed to estimate index, 30-day and one-year hospitalization spending adjusted for baseline covariates. A two-part model is used to estimate 31-365 day expenditure. Adjusted hospital spending for AMI patients were significantly higher in Lombardy compared with Tuscany. In Lombardy, patients experienced higher re-hospitalizations in the 31-365 days and longer length of stays than in Tuscany. On the other hand, no significant regional differences in adjusted mortality rates at both acute and longer phases were found. Comparing two regional healthcare systems which mainly differ in both the reimbursement systems and the level of integration between hospital and community services provides insights into factors potentially contributing to regional variations in spending and, therefore, in areas for efficiency improvement.

How much does the treatment of each major disease cost? A decomposition of Swiss National Health Accounts

In most countries, surprisingly little is known on how national healthcare spending is distributed across diseases. Single-disease cost-of-illness studies cover only a few of the diseases affecting a population and in some cases lead to untenably large estimates. The objective of this study was to decompose healthcare spending in 2011, according to Swiss National Health Accounts, into 21 collectively exhaustive and mutually exclusive major disease categories. Diseases were classified following the Global Burden of Disease Study. We first assigned the expenditures directly mapping from National Health Accounts to the 21 diseases. The remaining expenditures were assigned based on diagnostic codes and clues contained in a variety of microdata sources. Expenditures were dominated by non-communicable diseases with a share of 79.4%. Cardiovascular diseases stood out with 15.6% of total spending, followed by musculoskeletal disorders (13.4%), and mental and substance use disorders (10.6%). Neoplasms (6.0% of the total) ranked only sixth, although they are the leading cause of premature death in Switzerland. These results may be useful for the design of health policies, as they illustrate how healthcare spending is influenced by the epidemiological transition and increasing life expectancy. They also provide a plausibility check for single cost-of-illness studies. Our study may serve as a starting point for further research on the drivers of the constant growth of healthcare spending.

Air pollution and healthcare expenditure: Implication for the benefit of air pollution control in China

Quantitating the health effects of air pollution is important for understanding the benefits of environmental regulations. Using the China Urban Household Survey (UHS) Database, this paper estimated the effect of air pollution exposure on household healthcare expenditure. To address potential endogeneity concerns, we performed household healthcare expenditure regressions using an instrumental variables (IV) strategy based on spatial air pollution spillovers. Our research revealed that a 1% increase in yearly exposure to fine particulate matter (PM_2.5) corresponds to a 2.942% (95% confidence interval: 1.084%, 4.799%) increase in household healthcare expenditure. The estimates suggest that the 13th Five-Year Plan for Ecological and Environmental Protection (the 13th FYP) would reduce annual national healthcare expenditure by 47.36 Billion Dollar (95% confidence interval: 17.45 Billion Dollar, 77.25 Billion Dollar), which accounts for 0.64% (95% confidence interval: 0.24%, 1.04%) of China's gross domestic product (GDP).

Regional variation in healthcare spending and mortality among senior high-cost healthcare users in Ontario, Canada: a retrospective matched cohort study

Background

Senior high cost health care users (HCU) are a priority for many governments. Little research has addressed regional variation of HCU incidence and outcomes, especially among incident HCU. This study describes the regional variation in healthcare costs and mortality across Ontario’s health planning districts [Local Health Integration Networks (LHIN)] among senior incident HCU and non-HCU and explores the relationship between healthcare spending and mortality.

Methods

We conducted a retrospective population-based matched cohort study of incident senior HCU defined as Ontarians aged ≥66 years in the top 5% most costly healthcare users in fiscal year (FY) 2013. We matched HCU to non-HCU (1:3) based on age, sex and LHIN. Primary outcomes were LHIN-based variation in costs (total and 12 cost components) and mortality during FY2013 as measured by variance estimates derived from multi-level models. Outcomes were risk-adjusted for age, sex, ADGs, and low-income status. In a cost-mortality analysis by LHIN, risk-adjusted random effects for total costs and mortality were graphically presented together in a cost-mortality plane to identify low and high performers.

Results

We studied 175,847 incident HCU and 527,541 matched non-HCU. On average, 94 out of 1000 seniors per LHIN were HCU (CV = 4.6%). The mean total costs for HCU in FY2013 were 12 times higher that of non-HCU ($29,779 vs. $2472 respectively), whereas all-cause mortality was 13.6 times greater (103.9 vs. 7.5 per 1000 seniors).

Regional variation in costs and mortality was lower in senior HCU compared with non-HCU. We identified greater variability in accessing the healthcare system, but, once the patient entered the system, variation in costs was low. The traditional drivers of costs and mortality that we adjusted for played little role in driving the observed variation in HCUs’ outcomes. We identified LHINs that had high mortality rates despite elevated healthcare expenditures and those that achieved lower mortality at lower costs. Some LHINs achieved low mortality at excessively high costs.

Conclusions

Risk-adjusted allocation of healthcare resources to seniors in Ontario is overall similar across health districts, more so for HCU than non-HCU. Identified important variation in the cost-mortality relationship across LHINs needs to be further explored.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0952-7) contains supplementary material, which is available to authorized users.

Changes in Healthcare Spending After Diagnosis of Comorbidities Among Endometriosis Patients: A Difference-in-Differences Analysis

INTRODUCTION

We sought to characterize changes in healthcare spending associated with the onset of 22 endometriosis-related comorbidities.

METHODS

Women aged 18-49 years with endometriosis (N = 180,278) were extracted from 2006-2015 de-identified Clinformatics® DataMart claims data. For 22 comorbidities, comorbidity patients were identified on the basis of having a first comorbidity diagnosis after their initial endometriosis diagnosis. Controls were identified on the basis of having no comorbidity diagnosis and were matched 1:1 to comorbidity patients on demographics and baseline spending. Total medical and pharmacy spending was measured during 12 months before and after each patient's index date (first comorbidity diagnosis for comorbidity patients, and equal number of days after earliest endometriosis claim for controls). Pre-post spending differences were compared using difference-in-differences linear regression. Total and comorbidity-related cumulative spending per patient for all endometriosis patients were calculated annually for the 5 years following endometriosis diagnosis.

RESULTS

The number of endometriosis patients with each comorbidity varied between 121 for endometrial cancer and 16,177 for fatigue. Healthcare spending increased significantly with the onset of eight comorbidities: breast cancer, ovarian cancer, pregnancy complications, systemic lupus erythematosus/rheumatoid arthritis/Sjogren's/multiple sclerosis, infertility, uterine fibroids, ovarian cyst, and headache [p < 0.001 except for headache (p = 0.045)]. Spending decreased significantly for fatigue, cystitis/UTI, and eczema [p < 0.001 except for fatigue (p = 0.048)] and was not statistically different for the other 11 comorbidities. Difference-in-differences estimates were significantly higher for comorbidity patients for all comorbidities except eczema (p ≤ 0.003). Mean 5-year total cumulative spending was $58,191 per endometriosis patient, of which between 11% and 23% was attributable to comorbidity-related medical claims.

CONCLUSION

For all but one of the 22 comorbidities associated with endometriosis, comorbidity onset was associated with a relative increase in total healthcare spending.

FUNDING

AbbVie Inc.

The Case for Enrolling High-Cost Patients in an ACO

Though accountable care organizations (ACOs) are increasingly important to American healthcare, ethical inquiry into ACOs remains in its nascent stages. Several articles have raised the concern that ACOs have an incentive to avoid enrolling high-cost patients and, thereby, have an incentive to deny care to those who need it the most. This concern is borne out by the reports of consultants working with newly formed ACOs. This paper argues that, contra initial appearances, there is no financial incentive for ACOs to avoid enrolling high-cost patients.

Trends in healthcare expenditure in United States adults with chronic kidney disease: 2002-2011

BACKGROUND

This study examines trends in healthcare expenditure in adults with chronic kidney disease (CKD) and other kidney diseases (OKD) in the U.S. from 2002 to 2011.

METHODS

One hundred and eighty-seven thousand, three hundred and fourty-one adults aged ≥18 from the Medical Expenditure Panel Survey (MEPS) Household Component were analyzed. CKD and OKD were based on ICD-9 or CCC codes. A novel two-part model was used to estimate the likelihood of any healthcare use and total expenditures. Covariates included individual demographics and comorbidities.

RESULTS

Approximately 711 adults surveyed from 2002 to 2011 had CKD and 3693 had OKD. CKD was more likely among Non-Hispanic Blacks (NHB), Midwest and Western residents while OKD was more likely among Non-Hispanic Whites (NHW), Hispanics, married and Northeast residents. Both CKD and OKD were more likely in ≥45 years, males, widowed/divorced/single, ≤high school educated, publicly insured, Southern residents, poor and low income individuals. All comorbidities were more likely among people with CKD and OKD. Unadjusted analysis for mean expenditures for CKD and OKD vs. no kidney disease was $39,873 and $13,247 vs. $5411 for the pooled sample. After adjusting for covariates as well as time, individuals with CKD had $17,472 and OKD $5014 higher expenditures, while adjusted mean expenditures increased by $293 to $658 compared to the reference year group. Unadjusted yearly expenditures for CKD and OKD in the US population were approximately $24.6 and $48.1 billion, while adjusted expenditures were approximately $10.7 and $18.2 billion respectively.

CONCLUSION

CKD and OKD are significant cost-drivers and impose a profound economic burden to the US population.

Child disability and siblings' healthcare expenditures in a context of child fostering

Many studies have assessed the impact of disability on healthcare expenditures for the disabled child, but practically none has considered the externalities of a child's disability in terms of healthcare expenditures for his/her siblings. This study therefore seeks to measure the impact of a child's disability on the allocation of healthcare expenditures among children of a household. It uses data from the 2011 Demographic Health and Multiple Indicator Cluster Survey (DHS-MICS) conducted in Cameroon by the National Statistics Institute (INS), with support from UNFPA, UNICEF, the World Bank and USAID. The disability module of the survey was administered to 17,864 children under age 18. Multivariate analyses (two-part model with logistic then GLM regression) showed that a disability significantly increases the monthly healthcare expenditures for the disabled child by XAF 204. This effect does not differ significantly whether or not the disabled child is fostered (does not live with his/her mother). Living with a disabled child has no impact on healthcare expenditures of a child. However, if the child is a true sibling (same mother), having a disabled sibling reduces the healthcare expenditures allocated to that child by XAF 102. Childhood disability therefore has a potentially wider effect on the health of siblings.

Sex differences in healthcare expenditures among adults with diabetes: evidence from the medical expenditure panel survey, 2002-2011

Background

The evidence assessing differences in medical costs between men and women with diabetes living in the United States is sparse; however, evidence suggests women generally have higher healthcare expenditures compared to men. Since little is known about these differences, the aim of this study was to assess differences in out-of-pocket (OOP) and total healthcare expenditures among adults with diabetes.

Methods

Data were used from 20,442 adults (≥18 years of age) with diabetes from the 2002–2011 Medical Expenditure Panel Survey. Dependent variables were OOP and total direct expenditures for multiple health services (prescription, office-based, inpatient, outpatient, emergency, dental, home healthcare, and other services). The independent variable was sex. Covariates included sociodemographic characteristics, comorbid conditions, and time. Sample demographics were summarized. Mean OOP and total direct expenditures for health services by sex status were analyzed. Regression models were performed to assess incremental costs of healthcare expenditures by sex among adults with diabetes.

Results

Fifty-six percent of the sample was composed of women. Unadjusted mean OOP costs were higher for women for prescriptions ($1177; 95% CI $1117–$1237 vs. $959; 95% CI $918–$1000; p < 0.001) compared to men. Unadjusted mean total direct expenditures were also higher for women for prescriptions ($3797; 95% CI $3660–$3934 vs. $3334; 95% CI $3208–$3460; p < 0.001) and home healthcare ($752; 95% CI $646–$858 vs. $397; 95% CI $332–$462; p < 0.001). When adjusting for covariates, higher OOP and total direct costs persisted for women for prescription services (OOP: $156; 95% CI $87–$225; p < 0.001 and total: $184; 95% CI $50–$318; p = 0.007). Women also paid > $50 OOP for office-based visits (p < 0.001) and > $55 total expenditures for home healthcare (p = 0.041) compared to men after adjustments.

Conclusions

Our findings show women with diabetes have higher OOP and total direct expenditures compared to men. Additional research is needed to investigate this disparity between men and women and to understand the associated drivers and clinical implications. Policy recommendations are warranted to minimize the higher burden of costs for women with diabetes.

Relating cause of death with place of care and healthcare costs in the last year of life for patients who died from cancer, chronic obstructive pulmonary disease, heart failure and dementia: A descriptive study using registry data

BACKGROUND

The four main diagnostic groups for palliative care provision are cancer, chronic obstructive pulmonary disease, heart failure and dementia. But comparisons of costs and care in the last year of life are mainly directed at cancer versus non-cancer or within cancer patients.

AIM

Our aim is to compare the care and expenditures in their last year of life for Dutch patients with cancer, chronic obstructive pulmonary disease, heart failure or dementia.

DESIGN

Data from insurance company Achmea (2009-2010) were linked to information on long-term care at home or in an institution, the National Hospital Registration and Causes of Death-Registry from Statistics Netherlands. For patients who died of cancer ( n = 8658), chronic obstructive pulmonary disease ( n = 1637), heart failure ( n = 1505) or dementia ( n = 3586), frequencies and means were calculated, Lorenz curves were drawn up and logistic regression was used to compare patients with high versus low expenditures.

RESULTS

For decedents with cancer and chronic obstructive pulmonary disease, the highest costs were for hospital admissions. For decedents with heart failure, the highest costs were for the care home (last 360 days) and hospital admissions (last 30 days). For decedents with dementia, the highest costs were for the nursing home.

CONCLUSION

Patients with dementia had the highest expenditures due to nursing home care. The number of dementia patients will double by the year 2030, resulting in even higher economic burdens than presently. Policy regarding patients with chronic conditions should be informed by research on expenditures within the context of preferences and needs of patients and carers.

Healthcare spending and health outcomes: evidence from selected East African countries

BACKGROUND

Over the last decade, total healthcare expenditures, comprised of both public and private healthcare expenditures, have increased in most East African countries. At the same time, health outcomes such as infant mortality rates, life expectancy at birth and other health outcome indicators have improved.

OBJECTIVES

This paper examines the association between healthcare expenditures and health outcomes for eight East African countries: Burundi, Eritrea, Ethiopia, Kenya, Rwanda, Sudan, Tanzania, and Uganda. In this study, health outcomes are defined as an improvement in adult life expectancy and a reduction in the number of neonatal, infant, and under-five deaths.

METHODS

We implemented a panel data regression technique, analyzing both cross-sectional and time series information. This combined method has been used in healthcare studies by several authors. Data obtained from world development indicators for the years 2000-2014 was used for the panel study.

RESULTS

First, we documented that there is a strong, positive association between total healthcare expenditures and total life expectancy. While we identified a positive relationship between healthcare expenditures and female and male life expectancy, we found that healthcare had a stronger effect on improving life expectancy in females than in males. Moreover, we found a negative relationship between healthcare expenditures and the number of neonatal, infant, and under-five deaths.

CONCLUSION

The results of this study have important policy and management implications for the eight East African countries. From a policy perspective, it is necessary to understand if a greater allocation of resources to the healthcare sector is worthwhile and to determine whether to encourage private healthcare investment. From the management perspective, investing in more private institutions, such as hospitals and clinics, is essential for health outcomes in the average country. The results of this study can be used by the World Health Organization as well as other non-governmental organizations that provide financial assistance to East African countries.

Favorable cardiovascular risk factor profile is associated with lower healthcare expenditure and resource utilization among adults with diabetes mellitus free of established cardiovascular disease: 2012 Medical Expenditure Panel Survey (MEPS)

BACKGROUND AND AIMS

Given the prevalence and economic burden of diabetes mellitus (DM), we studied the impact of a favorable cardiovascular risk factor (CRF) profile on healthcare expenditures and resource utilization among individuals without cardiovascular disease (CVD), by DM status.

METHODS

25,317 participants were categorized into 3 mutually-exclusive strata: "Poor", "Average" and "Optimal" CRF profiles (≥4, 2-3, 0-1 CRF, respectively). Two-part econometric models were utilized to study cost data.

RESULTS

Mean age was 45 (48% male), with 54% having optimal, 39% average, and 7% poor CRF profiles. Individuals with DM were more likely to have poor CRF profile vs. those without DM (OR 7.7, 95% CI 6.4, 9.2). Individuals with DM/poor CRF profile had a mean annual expenditure of $9,006, compared to $6,461 among those with DM/optimal CRF profile (p < 0.001).

CONCLUSIONS

A favorable CRF profile is associated with significantly lower healthcare expenditures and utilization in CVD-free individuals across DM status, suggesting that these individuals require aggressive individualized prescriptions targeting lifestyle modifications and therapeutic treatments.

The differences in healthcare utilization for dental caries based on the implementation of water fluoridation in South Korea

Background

There were some debates about the water fluoridation program in South Korea, even if the program had generally substantial effectiveness. Because the out-of-pocket expenditures for dental care were higher in South Korea than in other countries, an efficient solution was needed. Therefore, we examined the relationship between the implementation of water fluoridation and the utilization of dental care.

Methods

We used the National Health Insurance Service National Sample Cohort. In this study, data finally included 472,250 patients who were newly diagnosed with dental caries during 2003–2013. We performed survival analysis using cox proportional hazard model, negative binomial-regression, and regression analyses using generalized estimating equation models.

Results

There were 48.49 % outpatient dental care visit during study period. Individuals with water fluoridation had a lower risk of dental care visits (HR = 0.949, 95 % CI = 0.928–0.971). Among the individuals who experienced a dental care visit, those with water fluoridation program had a lower number of dental care visits (β = −0.029), and the period of water fluoridation had an inverse association with the dental care expenditures.

Conclusion

The implementation of water fluoridation programs and these periods are associated with reducing the utilization of dental health care. Considering these positive impacts, healthcare professionals must consider preventive strategies for activating water fluoridation programs, such as changes in public perception and relations, for the effective management of dental care in South Korea.

Depression treatment decreases healthcare expenditures among working age patients with comorbid conditions and type 2 diabetes mellitus along with newly-diagnosed depression

BACKGROUND

There are many studies in the literature on the association between depression treatment and health expenditures. However, there is a knowledge gap in examining this relationship taking into account coexisting chronic conditions among patients with diabetes. We aim to analyze the association between depression treatment and healthcare expenditures among adults with Type 2 Diabetes Mellitus (T2DM) and newly-diagnosed depression, with consideration of coexisting chronic physical conditions.

METHODS

We used multi-state Medicaid data (2000-2008) and adopted a retrospective longitudinal cohort design. Medical conditions were identified using diagnosis codes (ICD-9-CM and CPT systems). Healthcare expenditures were aggregated for each month for 12 months. Types of coexisting chronic physical conditions were hierarchically grouped into: dominant, concordant, discordant, and both concordant and discordant. Depression treatment categories were as follows: antidepressants or psychotherapy, both antidepressants and psychotherapy, and no treatment. We used linear mixed-effects models on log-transformed expenditures (total and T2DM-related) to examine the relationship between depression treatment and health expenditures. The analyses were conducted on the overall study population and also on subgroups that had coexisting chronic physical conditions.

RESULTS

Total healthcare expenditures were reduced by treatment with antidepressants (16 % reduction), psychotherapy (22 %), and both therapy types in combination (28 %) compared to no depression treatment. Treatment with both antidepressants and psychotherapy was associated with reductions in total healthcare expenditures among all groups that had a coexisting chronic physical condition.

CONCLUSIONS

Among adults with T2DM and chronic conditions, treatment with both antidepressants and psychotherapy may result in economic benefits.

Determinants of healthcare expenditures in Iran: evidence from a time series analysis

BACKGROUND

A dramatic increase in healthcare expenditures is a major health policy concern worldwide. Understanding factors that underlie the growth in healthcare expenditures is essential to assist decision-makers in finding best policies to manage healthcare costs. We aimed to examine the determinants of healthcare spending in Iran over the periods of 1978-2011.

METHODS

A time series analysis was used to examine the effect of selected socio-economic, demographic and health service input on per capita healthcare expenditures (HCE) in Iran from 1978 to 2011. Data were retrieved from the Central Bank of Iran, Iranian Statistical Center and World Bank. Autoregressive distributed lag approach and error correction method were employed to examine long- and short-run effects of covariates.

RESULTS

Our findings indicated that the GDP per capita, degree of urbanization and illiteracy rate increase healthcare expenditures, while physician per 10,000 populations and proportion of population aged≥ 65 years decrease healthcare expenditures. In addition, we found that healthcare spending is a "necessity good" with long- and short-run income (GDP per capita), elasticities of 0.46 (p<0.01) and 0.67 (p = 0.01), respectively.

CONCLUSION

Our analysis identified GDP per capita, illiteracy rate, degree of urbanization and number of physicians as some of the driving forces behind the persistent increase in HCE in Iran. These findings provide important insights into the growth in HCE in Iran. In addition, since we found that health spending is a "necessity good" in Iran, healthcare services should thus be the object of public funding and government intervention.

Budgetary impact of the utilization of buprenorphine/naloxone sublingual film and tablet for Medicaid in the United States

OBJECTIVES

The buprenorphine/naloxone combination for the treatment of opioid dependence is available in a film or tablet formulation. Recent retrospective studies demonstrated that treatment with the sublingual film formulation is associated with improved treatment retention and lower healthcare costs. In March 2013, generic buprenorphine/naloxone tablets were approved in the US. A budget impact model was built to compare healthcare expenditures for different market shares of sublingual film and tablet.

METHODS

A Markov model was developed to track a cohort of opioid dependent patients treated with sublingual film or tablet through the following treatment phases: initiation, maintenance, discontinuation, off-treatment and reinitiation. Transition probabilities and costs for each phase were estimated from the MarketScan Medicaid database for the period between 1 March 2010 and 30 June 2012. The total expenditure for the plan and expenditure per plan member per month were predicted over 5 years. Two market share scenarios were considered: 1) sublingual film is progressively replaced by generic tablet (current situation) and 2) the sublingual film holds a market share of 100%.

RESULTS

Predicted total costs over 5 years were $6400 million when the sublingual film holds a market share of 100% (as per Scenario 2) which is lower than when sublingual film is progressively replaced by generic tablet (current situation as per Scenario 1) by $64 million. These savings were mostly driven by inpatient care ($56 million saved over 5 years), followed by emergency room care ($27 million) and pharmaceutical costs ($24 million). Costs of outpatient care attenuated the difference as they were predicted to be higher by $44 million in Scenario 2. The reduction in total cost per member per month reached $0.027 in the fifth year. Results were most sensitive to price rebates and to the probability of non-psychiatric hospitalization.

CONCLUSIONS

While using the sublingual film formulation for more patients treated with buprenorphine/naloxone is predicted to increase outpatient care costs, it would generate savings in emergency care and hospitalizations. In the treatment of opioid dependence, total direct medical costs for Medicaid would be lower for sublingual film treated patients, at current drug prices.

Identifying high-cost patients using data mining techniques and a small set of non-trivial attributes

In this paper, we use data mining techniques, namely neural networks and decision trees, to build predictive models to identify very high-cost patients in the top 5 percentile among the general population. A large empirical dataset from the Medical Expenditure Panel Survey with 98,175 records was used in our study. After pre-processing, partitioning and balancing the data, the refined dataset of 31,704 records was modeled by Decision Trees (including C5.0 and CHAID), and Neural Networks. The performances of the models are analyzed using various measures including accuracy, G-mean, and Area under ROC curve. We concluded that the CHAID classifier returns the best G-mean and AUC measures for top performing predictive models ranging from 76% to 85%, and 0.812 to 0.942 units, respectively. We also identify a small set of 5 non-trivial attributes among a primary set of 66 attributes to identify the top 5% of the high cost population. The attributes are the individual׳s overall health perception, age, history of blood cholesterol check, history of physical/sensory/mental limitations, and history of colonic prevention measures. The small set of attributes are what we call non-trivial and does not include visits to care providers, doctors or hospitals, which are highly correlated with expenditures and does not offer new insight to the data. The results of this study can be used by healthcare data analysts, policy makers, insurer, and healthcare planners to improve the delivery of health services.