Inpatient Expenditures Research Articles

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

BackgroundLong-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.MethodsData 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.ResultsIn 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.ConclusionsThe 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.

Variation in physician spending and its association with postoperative outcomes among patients undergoing surgery for gastrointestinal cancer

BackgroundThere is significant variation in inpatient expenditures among physicians and hospitals. This study aimed to characterize the association between variation in physician spending and short-term outcomes among patients undergoing surgery for pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC). MethodsPatients who underwent surgery for PDAC and CRC from 2010 to 2020 were identified using the Surveillance, Epidemiology, and End Result-Medicare–linked database. The cohort was divided into quartiles based on adjusted physician spending, and multivariate models were used to assess the association between physician spending and patient outcomes. ResultsAmong 27,596 Medicare beneficiaries, 25,615 (92.8%) underwent surgery for CRC and 1981 (7.2%) underwent surgery for PDAC. Of the variations in spending, 79.9% were due to patient-level factors, 13.3% were due to hospital characteristics, and 6.8% were due to surgeon-level variables. On multivariate analysis, there was no association between physician spending and 30-day readmission (with complications: first quartile [Q1], reference; Q4: odds ratio [OR], 1.10; 95% CI, 0.86–1.41; P = .123; without complications: Q1, reference; Q3, stage IV: OR, 0.97; 95% CI, 0.68–1.40; P = .882) or between physician spending and 30-day mortality (without complications: Q1, reference; Q2, stage I: OR, 1.17; 95% CI, 0.45–3.01; P = .804). However, an increase in physician spending was associated with higher 30-day mortality among patients with complications (Q1, reference; Q4: OR, 2.28; 95% CI, 1.72–3.03; P < .001). ConclusionThere was more variation in healthcare spending across hospitals than across individual physicians. No consistent association between variation in physician spending and patient outcomes was noted. Wasteful spending can be reduced through targeted interventions aimed at reducing variations at the physician and hospital levels.

Effect of long-term care insurance on medical expenditure and health status: National cohort study

BackgroundLong-term care insurance (LTCI) was implemented in China to solve the elderly care problems caused by the aging population. It is crucial to evaluate the effectiveness of LTCI implementation from the perspective of value-based healthcare.ObjectiveThis study aimed to investigate the impact of LTCI on medical care expenditure and health status in China.MethodsWe used staggered difference-in-differences (DID) analysis to analyze the effect of LTCI policy on medical expenditure and health status based on China Health and Retirement Longitudinal Study data from 2011 to 2018.ResultsOur findings confirmed the positive contribution of LTCI policies to medical expenditures and health status. We found that the implementation of LTCI significantly reduced inpatient and outpatient expenditure, scores of self-report of health, and CESD scores by 26.3%, 12.3%, 0.103, and 0.538, respectively. It also decreased ADL scores, but the decrease was not significant. The impact of LTCI on reducing inpatient expenditure was greater for individuals aged between 65 and 80 and those residing in urban areas and eastern cities. In terms of outpatient costs, the effect of LTCI was more pronounced among median and high-income people and people living in central and eastern cities. The impact of LTCI on self-report of health is stronger for rural populations, individuals under 80, and those in central and eastern cities. For ADL scores, LTCI affected those aged 65–80 the most. About the CESD scores, LTCI had a greater impact on rural populations, people aged 45–65, median income groups, and those in eastern cities.ConclusionsOur study underscored LTCI’s effectiveness in curbing medical expenditures and enhancing health status, offering valuable insights for future LTCI development in China and beyond. Accelerating the development of LTCI is conducive to improving the quality of life of the disabled elderly, enhancing the well-being of people’s livelihoods, and realizing the goal of value-based healthcare.

Hypertension-Associated Expenditures Among Privately Insured US Adults in 2021.

There are no recent estimates for hypertension-associated medical expenditures. This study aims to estimate hypertension-associated incremental medical expenditures among privately insured US adults. We conducted a retrospective cohort study using IQVIA's Ambulatory Electronic Medical Records-US data set linked with PharMetrics Plus claims data. Among privately insured adults aged 18 to 64 years, hypertension was identified as having ≥1 diagnosis code or ≥2 blood pressure measurements of ≥140/90 mm Hg, or ≥1 antihypertensive medication in 2021. Annual total expenditures (in 2021 $US) were estimated using a generalized linear model with gamma distribution and log-link function adjusting for demographic characteristics and cooccurring conditions. Out-of-pocket expenditures were estimated using a 2-part model that included logistic and generalized linear model regression. Overlap propensity score weights from logistic regression were used to obtain a balanced sample on hypertension status. Among the 393 018 adults, 156 556 (40%) were identified with hypertension. Compared with individuals without hypertension, those with hypertension had $2926 (95% CI, $2681-$3170) higher total expenditures and $328 (95% CI, $300-$355) higher out-of-pocket expenditures. Adults with hypertension had higher total inpatient ($3272 [95% CI, $1458-$5086]) and outpatient ($2189 [95% CI, $2009-$2369]) expenditures when compared with those without hypertension. Hypertension-associated incremental total expenditures were higher for women ($3242 [95% CI, $2915-$3569]) than for men ($2521 [95% CI, $2139-$2904]). Among privately insured US adults, hypertension was associated with higher medical expenditures, including higher inpatient and out-of-pocket expenditures. These findings may help assess the economic value of interventions effective in preventing hypertension.

Impact of a health system vertical integration program on patient expenditures and healthcare utilization: Evidence from county hospitals in East China

In 2009, China launched a vertical integration pilot program to promote collaboration between tertiary and county hospitals to reduce rural-urban disparities and strengthen capacity building in healthcare services delivery in county healthcare facilities. Through the program, tertiary hospitals implemented a workforce mobility program to temporarily assign selected physicians and healthcare staff to paired county hospitals. This study uses hospital-level data from 2009 to 2015 to investigate the program's impact on medical expenditures and healthcare utilization among patients visiting the paired county hospitals. A difference-in-differences method with hospital and year-fixed effects is used to address the unobservable heterogeneity of hospitals and the potential impact of national healthcare reform. We find that the average outpatient expenditure experienced a 4.0% decline after the county hospitals received paired assistance from tertiary hospitals. The decline is mainly driven by a reduced proportion of diagnostic testing expenditures. However, there is no evidence that the program affected inpatient expenditures. In addition, county hospitals had 5.1% more outpatient visits after receiving paired assistance, while the average length of stay remains stable. These results are robust when we control the effect of the Zero-Markup drug policy and conduct permutation tests of sample assignment. We conclude that the paired assistance program has successfully improved hospital healthcare services delivery and controlled patient expenditures. Vertical integration has improved healthcare system performance in East China from 2009 to 2015.

Catastrophic health expenditure of inpatients in emerging economies: evidence from the Indian subcontinent

BackgroundCatastrophic health expenditures condensed the vital concern of households struggling with notable financial burdens emanating from elevated out-of-pocket healthcare expenditures. In this regard, this study investigated the nature and magnitude of inpatient healthcare expenditure in India. It also explored the incidence and determinants of inpatient catastrophic health expenditure.MethodologyThe study used the micro-level data collected in the 75th Round of the National Sample Survey on 93 925 households in India. Descriptive statistics were used to examine the nature, magnitude and incidence of inpatient healthcare expenditure. The heteroscedastic probit model was applied to explore the determinants of inpatient catastrophic healthcare expenditure.ResultsThe major part of inpatient healthcare expenditure was composed of bed charges and expenditure on medicines. Moreover, results suggested that Indian households spent 11% of their monthly consumption expenditure on inpatient healthcare and 28% of households were grappling with the complexity of financial burden due to elevated inpatient healthcare. Further, the study explored that bigger households and households having no latrine facilities and no proper waste disposal plans were more vulnerable to facing financial burdens in inpatient healthcare activity. Finally, the result of this study also ensure that households having toilets and safe drinking water facilities reduce the chance of facing catastrophic inpatient health expenditures.ConclusionsA significant portion of monthly consumption expenditure was spent on inpatient healthcare of households in India. It was also conveyed that inpatient healthcare expenditure was a severe burden for almost one fourth of households in India. Finally, it also clarified the influence of socio-economic conditions and sanitation status of households as having a strong bearing on their inpatient healthcare.

The impact of medical insurance and old-age security on the utilization of medical services by the older population with disabilities

ObjectiveIn this study, the impact of medical insurance and old-age security on the use of medical services by the older population with disabilities is analyzed. A reference for decision makers is provided to improve medical and old-age security policies and enhance the use of medical services by the older population.MethodsData were drawn from 3,737 older people with disabilities aged 65 years or above from the 2018 China Longitudinal Healthy Longevity Survey. A two-part model based on social ecological theory was used for both analysis and group prediction.ResultsIn terms of the use of outpatient medical services, old-age pension significantly increased the probability of outpatient visits for this population group (P < 0.05). Urban employee/resident medical insurance, the new rural cooperative medical insurance, and retirement pension significantly affected medical expenses. In terms of the use of inpatient medical services, the new rural cooperative medical insurance and retirement pension significantly influenced the choice of inpatient medical services; retirement pension increased inpatient medical expenditure (p < 0.01). The expected average probability of hospitalization, unconditional expected cost, and conditional expected cost for the older population with disabilities were 49.5%, RMB 6629.31, and RMB 3281.51, respectively. Both conditional and unconditional expected costs were significantly higher for older people with disabilities with the following attributes: male, married, no less than three chronic conditions, and unassisted daily care; costs were lower for older people with disabilities who are female, not married, had less than three chronic conditions, and had a spouse, child, or other caregiver.ConclusionMedical insurance and old-age security can significantly promote the utilization of medical services by the older population with disabilities. It is therefore recommended to focus on strengthening the support and health management of these people who are unattended to improve the effective use of health services and better meet their needs.

Medicare expenditures among spouses of persons with dementia.

Spouses of persons living with dementia face intense strains on their well-being compared with similarly aged adults and spouses of partners with no dementia. This strain can impact spouses' health and healthcare needs, and therefore affect their healthcare utilization and expenditures. Using data from the Health and Retirement Study linked with Medicare claims, we matched dyads of spouses and their partners with dementia (SPWD) to a comparison group of similar spouses and their partners with no dementia (SPWND). We then examined Medicare expenditures for spouses in the 5 years following their partner's dementia onset month using a two-part regression model. SPWD cumulative total Medicare expenditures were, on average, $60,043 in the 5 years post dementia onset, compared to $56,068 for SPWND. This difference ($3974, 95% CI = [-$3,199; $11,477]) was not significant. However, there were significant differences in the 5th year's total expenditures (+$2,748 [$321; $5,447]), driven by inpatient expenditures ($1,562 [$22; $3,277]). Despite the differences in partner's dementia status, we found no significant difference in the 5-year cumulative Medicare expenditures between SPWD and SPWND. Compared to previous studies, we likely captured an earlier stage of dementia more consistently for a broader population which may be less straining on spouses. Further research should examine patterns of expenditures in later years and around critical timepoints in caregiving, such as partner transitions to formal long-term care settings and death, to better understand healthcare expenditures for spouses of persons living with dementia.

Association of surgeon's sex, and surgeon-patient dyad with financial outcomes among patients undergoing cancer surgery.

Surgeon sex has been associated with perioperative clinical outcomes among patients undergoing oncologic surgery. There may be variations in financial outcomes relative to the surgeon-patient dyad. We sought to define the association of surgeon's sex with perioperative financial outcomes following cancer surgery. Patients who underwent resection of lung, breast, hepato-pancreato-biliary (HPB), or colorectal cancer between 2014 and 2021 were identified from the Medicare Standard Analytic Files. A generalized linear model with gamma regression was utilized to characterize the association between sex concordance and expenditures. Among 207,935 Medicare beneficiaries (breast: n = 14,753, 7.1%, lung: n = 59,644, 28.7%, HPB: n = 23,400, 11.3%, colorectal: n = 110,118, 53.0%), 87.8% (n = 182,643) and 12.2% (n = 25,292) of patients were treated by male and female surgeons, respectively. On multivariable analysis, female surgeon sex was associated with slightly reduced index expenditures (mean difference -$353, 95%CI -$580, -$126; p = 0.003). However, there were no differences in 90-day post-discharge inpatient (mean difference -$-225, 95%CI -$570, -$121; p = 0.205) and total expenditures (mean difference $133, 95%CI -$279, $545; p = 0.525). There was minor risk-adjusted variation in perioperative expenditures relative to surgeon sex. To improve perioperative financial outcomes, a diverse surgical workforce with respect to patient and surgeon sex is warranted.

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

BackgroundHeart 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.ObjectiveAssess 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.DesignThis retrospective cross-sectional cohort study used Medicare fee-for-service claims from 2016 to 2020.ParticipantsA total of 48,466 deceased patients diagnosed with heart failure on Medicare.Main MeasuresBilled 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 ResultsIn 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.ConclusionsBilled 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.

Healthcare utilization and expenditures among patients with venous thromboembolism following gastrointestinal cancer surgery

BackgroundWe sought to assess healthcare utilization and expenditures among patients who developed venous thromboembolism (VTE) after gastrointestinal cancer surgery. MethodsPatients who underwent surgery for esophageal, gastric, hepatic, biliary duct, pancreatic, and colorectal cancer between 2013 and 2020 were identified using the MarketScan database. Entropy balancing was performed to obtain a cohort that was well balanced relative to different clinical covariates. Generalized linear models were used to compare 1-year postdischarge costs among patients who did and did not develop a postoperative VTE. ResultsAmong 20,253 individuals in the analytical cohort (esophagus [n = 518 {2.6%}], stomach [n = 970 {4.8%}], liver [n = 608 {3.0%}], bile duct [n = 294 {1.5%}], pancreas [n = 1511 {7.5%}], colon [n = 12,222 {60.3%}], and rectum [n = 4130 {20.4%}]), 894 (4.4%) developed VTE. Overall, most patients were male (n = 10,656 [52.6%]), aged between 55 and 64 years (n = 10,372 [51.2%]), and were employed full time (n = 11,408 [56.3%]). On multivariable analysis, VTE was associated with higher inpatient (mean difference [MD], $17,547; 95% CI, $15,141-$19,952), outpatient (MD, $8769; 95% CI, $7045-$10,491), and pharmacy (MD, $2811; 95% CI, $2509-$3113) expenditures (all P < .001). Furthermore, patients who developed VTE had higher out-of-pocket costs for inpatient (MD, $159; 95% CI, $66-$253) and pharmacy (MD, $122; 95% CI, $109-$136) services (all P < .001). ConclusionAmong privately insured patients aged <65 years, VTE was associated with increased healthcare utilization and expenditures during the first year after discharge.

Health Expenditures After Bariatric Surgery: A Retrospective Cohort Study.

Bariatric surgery leads to substantial improvements in weight and weight-related conditions, but prior literature on post-surgical health expenditures is equivocal. In a retrospective cohort study, we compared expenditures between surgical and matched non-surgical patients. In a retrospective study, total, outpatient, inpatient and medication expenditures 3 years before and 5.5 years after surgery were compared between 22,698 bariatric surgery (n=7,127 RYGB, 15,571 sleeve gastrectomy) patients from 2012-2019 and 66,769 matched non-surgical patients, using generalized estimating equations. We also compared expenditures between patients receiving the two leading surgical procedures in weighted analyses. Surgical and non-surgical cohorts were well matched, 80-81% female, with mean body mass index (BMI) of 44, and mean age of 47 (RYGB) and 44 (SG) years. Estimated total expenditures were similar between surgical and non-surgical groups 3 years before surgery ($27 difference, 95% confidence interval (CI): -42, 102)), increased 6 months prior to surgery for surgical patients, and decreased below pre-period levels for both groups after 3-5.5 years to become similar (difference at 5.5y=-$61, 95% CI: -166, 52). Long-term outpatient expenditures were similar between groups. Surgical patients' lower long-term medication expenditures ($314 lower at 5.5y, 95% CI: -419, -208) were offset by a higher risk of hospitalization. Total expenditures were similar between RYGB and SG patients 3.5 to 5.5 years after surgery. Bariatric surgery translated into lower medication expenditures than matched controls, but not lower overall long-term expenditures. Expenditure trends appear similar for the two leading bariatric operations.

Association between physician-hospital integration and inpatient care delivery in accountable care organizations: An instrumental variable analysis.

To investigate the relationship between physician-hospital integration within accountable care organizations (ACOs) and inpatient care utilization and expenditure. The primary data were Massachusetts All-Payer Claims Database (2009-2013). Fifteen provider organizations that entered a commercial ACO contract with a major private payer in Massachusetts between 2009 and 2013. Using an instrumental variable approach, the study compared inpatient care delivery between patients of ACOs demonstrating high versus low integration. We measured physician-hospital integration within ACOs by the proportion of primary care physicians in an ACO who billed for outpatient services with a place-of-service code indicating employment or practice ownership by a hospital. The study sample comprised non-elderly adults who had continuous insurance coverage and were attributed to one of the 15 ACOs. Outcomes of interest included total medical expenditure during an episode of inpatient care, length of stay (LOS) of the index hospitalization, and 30-day readmission. An inpatient episode was defined as 30, 45, and 60 days from the admission date. Not applicable. The study examined 33,535 admissions from patients served by the 15 ACOs. Average medical expenditure within 30 days of admission was $24,601, within 45 days was $26,447, and within 60 days was $28,043. Average LOS was 3.5 days, and 5.4% of patients were readmitted within 30 days. Physician-hospital integration was associated with a 10.6% reduction in 30-day expenditure (95% CI, -15.1% to -5.9%). Corresponding estimates for 45 and 60 days were - 9.7% (95%CI, -14.2% to -4.9%) and - 9.6% (95%CI, -14.3% to -4.7%). Integration was associated with a 15.7% decrease in LOS (95%CI, -22.6% to -8.2%) but unrelated to 30-day readmission rate. Our instrumental variable analysis shows physician-hospital integration with ACOs was associated with reduced inpatient spending and LOS, with no evidence of elevated readmission rates.

Healthcare Utilization and Its Correlates in Comorbid Type 2 Diabetes Mellitus and Generalized Anxiety Disorder.

This study investigated the healthcare utilization and medical expenditure of type 2 diabetes mellitus (T2DM) patients with generalized anxiety disorder (GAD) and identified the associated factors. The healthcare utilization and expenditure of T2DM patients with (case group) and without (control group) GAD between 2002 and 2013 were examined using the population-based Taiwan National Health Insurance Research Database. Healthcare utilization included outpatient visits and hospitalization; health expenditure included outpatient, inpatient, and total medical expenditure. Moreover, nonpsychiatric healthcare utilization and medical expenditure were distinguished from total healthcare utilization and medical expenditure. The average healthcare utilization, including outpatient visits and hospitalization, was significantly higher for the case group than for the control group (total and nonpsychiatric). The results regarding differences in average outpatient expenditure (total and nonpsychiatric), inpatient expenditure (total and nonpsychiatric), and total expenditure (total and nonpsychiatric) between the case and control groups are inconsistent. Sex, age, income, comorbidities/complications, and the diabetes mellitus complication severity index were significantly associated with outpatient visits, medical expenditure, and hospitalization in the case group (total and nonpsychiatric). Greater knowledge of factors affecting healthcare utilization and expenditure in comorbid individuals may help healthcare providers intervene to improve patient management and possibly reduce the healthcare burden in the future.

Telemental Health Services Usage and Association with Health Care Utilization and Expenditures Among Vulnerable Medicare Beneficiaries in 2019: A Comparative Study Using Propensity Score Matching.

Background: Telemental health (TMH) offers a promising approach to managing major depressive disorder (MDD). The objective of our work was to evaluate TMH usage among a vulnerable population of MDD Medicare beneficiaries and its association with health care utilization and expenditures. Methods: This cohort study analyzed 2019 Mississippi Medicare fee-for-service data for adult beneficiaries with MDD. Subjects were matched by the use of TMH following 1:1 propensity score matching. Comparisons between TMH and non-TMH cohorts were made on health care utilization and expenditure outcomes, adjusting for provider types postmatching. Results: Among 7,673 identified beneficiaries, 551 used TMH and 7,122 did not. Prematching, TMH cohort showed greater proportions of dual beneficiaries, rural residents, subjects with income below $40,000, those with disability entitlement, and higher Charlson comorbidity index scores, compared to the non-TMH cohort (all p < 0.001). Moreover, the TMH cohort had fewer outpatient visits, but more inpatient admissions, emergency department (ED) visits, and higher medical, pharmacy, and total expenditures (all p < 0.001). Postmatching, TMH was associated with a 25% reduction in outpatient visits (p < 0.001) and a 20% reduction in pharmacy expenditures (p = 0.01), with no significant effect on inpatient admissions, ED visits, medical expenditures, or total expenditures. Conclusions: These results underscore the potential of TMH in enhancing accessible health care services for vulnerable populations and affordable services for Medicare. Our results provide a robust baseline for future policy discussions concerning TMH. Future studies should consider identifying barriers to TMH use among vulnerable populations and ensuring equitable and high-quality patient care.

Geographic variation in inpatient medical expenditure among older adults aged 75 years and above in Japan: a three-level multilevel analysis of nationwide data.

In Japan, a country at the forefront of population ageing, significant geographic variation has been observed in inpatient medical expenditures for older adults aged 75 and above (IMEP75), both at the small- and large-area levels. However, our understanding of how different levels of administrative (geographic) units contribute to the overall geographic disparities remains incomplete. Thus, this study aimed to assess the degree to which geographic variation in IMEP75 can be attributed to municipality-, secondary medical area (SMA)-, and prefecture-level characteristics, and identify key factors associated with IMEP75. Using nationwide aggregate health insurance claims data of municipalities for the period of April 2018 to March 2019, we conducted a multilevel linear regression analysis with three levels: municipalities, SMA, and prefectures. The contribution of municipality-, SMA-, and prefecture-level correlates to the overall geographic variation in IMEP75 was evaluated using the proportional change in variance across six constructed models. The effects of individual factors on IMEP75 in the multilevel models were assessed by estimating beta coefficients with their 95% confidence intervals. We analysed data of 1,888 municipalities, 344 SMAs, and 47 prefectures. The availability of healthcare resources at the SMA-level and broader regions to which prefectures belonged together explained 57.3% of the overall geographic variance in IMEP75, whereas the effects of factors influencing healthcare demands at the municipality-level were relatively minor, contributing an additional explanatory power of 2.5%. Factors related to long-term and end-of-life care needs and provision such as the proportion of older adults certified as needing long-term care, long-term care benefit expenditure per recipient, and the availability of hospital beds for psychiatric and chronic care and end-of-life care support at home were associated with IMEP75. To ameliorate the geographic variation in IMEP75 in Japan, the reallocation of healthcare resources across SMAs should be considered, and drivers of broader regional disparities need to be further explored. Moreover, healthcare systems for older adults must integrate an infrastructure of efficient long-term care and end-of-life care delivery outside hospitals to alleviate the burden on inpatient care.

Association of copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder

BackgroundThe purpose of this study was to examine the association between copayments and healthcare utilization and expenditures among Medicaid enrollees with substance use disorders. MethodsThis study used claims data (2020−2021) from a private insurer participating in Arkansas's Medicaid expansion. We compared service utilization and expenditures for enrollees in different Medicaid program structures with varying copayments. Enrollees with incomes above 100 % FPL (N = 10,240) had copayments for substance use treatment services while enrollees below 100 % FPL (N = 2478) did not. Demographic, diagnostic, utilization, and cost information came from claims and enrollment information. The study identified substance use and clinical comorbidities using claims from July through December 2020 and evaluated utilization and costs in 2021. Generalized linear models (GLM) estimated outcomes using single equation and two-part modeling. A gamma distribution and log link were used to model expenditures, and negative binomial models were used to model utilization. A falsification test comparing behavioral health telemedicine utilization, which had no cost sharing in either group, assessed whether differences in the groups may be responsible for observed findings. ResultsSubstance use enrollees with copayments were less likely to have a substance use or behavioral health outpatient (−0.04 PP adjusted; p = 0.001) or inpatient visit (−0.04 PP; p = 0.001) relative to their counterparts without copayments, equal to a 17 % reduction in substance use or behavioral health outpatient services and a nearly 50 % reduction in inpatient visits. The reduced utilization among enrollees with a copayment was associated with a significant reduction in total expenses ($954; p = 0.001) and expenses related to substance use or behavioral health services ($532; p = 0.001). For enrollees with at least one behavioral health visit, there were no differences in outpatient or inpatient utilization or expenditures between enrollees with and without copayments. Copayments had no association with non-behavioral health or telemedicine services where neither group had cost sharing. ConclusionCopayments serve as an initial barrier to substance use treatment, but are not associated with the amount of healthcare utilization conditional on using services. Policy makers and insurers should consider the role of copayments for treatment services among enrollees with substance use disorders in Medicaid programs.

Exiting primary care providers.

This article studies the impact of primary care providers (PCPs) exit from the local health care system on patients' health care utilization. I compare patients with each other whose physicians have left the local health care system at different points in time due to retirement, relocation, or other reasons. Estimation results indicate that the imminent exit leads soon-leaving physicians to changing their treatment behavior, which has a significant impact on patients' health care spending. In addition, successors and new PCPs provide significantly more preventive services in the post-exit-period and refer patients more often to specialists for further examinations than the physicians who exit later. The increased inpatient expenditures in the post-exit period are caused by the new PCPs (through referrals). Self-initiated substitution behavior of patients (e.g., less PCP care, more specialist care) after the exit is observed but is low in magnitude. Although an overall increase in health service utilization is observed, mortality in the post-exit periods is significantly increased among affected patients. A possible explanation is the low frequency follow-up care of patients who were referred to hospitals by their former PCP in the notification-period.

Effect of supplementary private health insurance on out-of-pocket inpatient medical expenditure: evidence from Malaysia.

The vital role of healthcare financing in achieving universal health coverage is indisputable. However, most countries, including Malaysia, face challenges in establishing an equitable and sustainable healthcare financing system due to escalating healthcare costs, an ageing population and a growing disease burden. With desirable pre-payment and risk pooling features, private health insurance (PHI) is considered an alternative financing option to reduce out-of-pocket (OOP) medical expenditure. However, ongoing theoretical and empirical debates persist regarding the adequacy of financial risk protection provided by PHI largely because it depends on its role, the benefit design and the regulations in place. Our study aimed to investigate the effect of supplementary PHI on OOP inpatient medical expenditure in Malaysia. Secondary data analysis was conducted using the Malaysian National Health and Morbidity Survey 2019 dataset. A total of 983 respondents with a history of inpatient hospitalization in the past 12 months were included in the study. Instrumental variable analysis using a two-stage residual inclusion was performed to address endogeneity bias, with wealth status and education level as the instrumental variables. Tobit regression model was used in the second stage considering the censored distribution of the outcome variable. Missing data were handled using multiple imputation. About one-fifth of the respondents had PHI. In this study, we found that having PHI significantly increased OOP inpatient medical expenditure in all three marginal effects. Additionally, age, residential location, ethnicity (citizenship), being covered by government guarantee letter, government funding and employer-sponsored health insurance were other significant factors associated with OOP inpatient medical expenditure. Our findings undermine a key justification to advocate PHI uptake among the population, with a need for the Malaysian government to reassess the role of PHI in healthcare financing and reconsider PHI subsidization policy. Regulations should also be strengthened to enhance the financial risk protection provided by PHI.

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.