Project description:This article examines the budgetary implications of high-priced accelerated approval drugs by estimating Medicare spending on these drugs from 2015 through 2019.
Project description:ImportanceThe Patient Protection and Affordable Care Act (ACA) individual marketplaces are a source of insurance for millions of residents in the US. However, the association between enrollee risk, health spending, and metal tier selection remains unclear.ObjectivesTo describe individual marketplace enrollees' metal tier selections by risk score and assess enrollees' health spending by metal tier, risk score, and spending type.Design, setting, and participantsThis retrospective, cross-sectional study analyzed claims data from the Wakely Consulting Group ACA database, a deidentified claims database built on data voluntarily submitted by insurers. Enrollees with continuous, full-year enrollment in on-exchange or off-exchange ACA-qualified health plans during the 2019 contract year were included. Data analysis was conducted from March 2021 to January 2023.Main outcomes and measuresEnrollment totals, total spending, and out-of-pocket cost were calculated, stratified by metal tier and the Department of Health and Human Services (HHS) Hierarchical Condition Category (HCC) risk score for 2019.ResultsEnrollment and claims data were obtained for 1 317 707 enrollees (53.5% female; mean [SD] age, 46.35 [13.43] years) across all census areas, age groups, and sexes. Of these, 34.6% were on plans with cost-sharing reductions (CSRs), 75.5% did not have an assigned HCC, and 84.0% submitted at least 1 claim. Compared with enrollees in bronze plans (17.2%), enrollees were more likely to be classified in the top HHS-HCC risk quartile if they selected platinum (42.0%), gold (34.4%), or silver (29.7%) plans. The highest share of enrollees with $0 total spending was noted with the catastrophic (26.4%) and bronze (22.7%) plans, while gold plans had the lowest share (8.1%). Median total spending was lower among bronze plan enrollees ($593; IQR, $28-$2100) vs platinum ($4111; IQR, $992-$15 821) or gold ($2675; IQR, $728-$9070). Within the top risk score decile, CSR enrollees had less average total spending than any other metal tier by more than 10%.Conclusions and relevanceIn this cross-sectional study of the ACA individual marketplace, enrollees who selected plans with higher actuarial value also had greater mean HHS-HCC risk scores and health spending. The findings suggest these differences may be associated with variation in benefit generosity by metal tier, enrollee's perceptions of future health needs, or other barriers to care access.
Project description:Risk-adjustment algorithms typically incorporate demographic and clinical variables to equalize compensation to insurers for enrollees who vary in expected cost, but including information about enrollees' socioeconomic background is controversial. We studied 1 182 847 continuously insured 0 to 19-year-olds using 2008-2012 Blue Cross Blue Shield of Massachusetts and American Community Survey data. We characterized enrollees' socioeconomic background using the validated area-based socioeconomic measure and calculated annual plan payments using paid claims. We evaluated the relationship between annual plan payments and geocoded socioeconomic background using generalized estimating equations (γ distribution and log link). We expressed outcomes as the percentage difference in spending and utilization between enrollees with high and low socioeconomic backgrounds. Geocoded socioeconomic background had a significant, positive association with annual plan payments after applying standard adjusters. Every 1 SD increase in socioeconomic background was associated with a 7.8% (95% confidence interval, 7.2% to 8.3%; P < .001) increase in spending. High socioeconomic background enrollees used higher-priced outpatient and pharmacy services more frequently than their counterparts from low socioeconomic backgrounds (eg, 25% more outpatient encounters annually; 8% higher price per encounter; P < .001), which outweighed greater emergency department spending among low socioeconomic background enrollees. Higher socioeconomic background is associated with greater levels of pediatric health care spending in commercially insured children. Including socioeconomic information in risk-adjustment algorithms may address concerns about adverse selection from an economic perspective, but it would direct funds away from those caring for children and adolescents from lower socioeconomic backgrounds who are at greater risk of poor health.
Project description:ImportanceLittle is known about how out-of-pocket burden differs between Medicare and commercial insurance for ultra-expensive drugs.ObjectiveTo investigate out-of-pocket spending for ultra-expensive drugs in the Medicare Part D program vs commercial insurance.Design, setting, and participantsThis was a retrospective, population-based cohort study of individuals using ultra-expensive drugs included in a 20% nationally random sample of prescription drug claims from Medicare Part D and individuals aged 45 to 64 years using ultra-expensive drugs included in a large national convenience sample of outpatient pharmaceutical claims from commercial insurance plans. Claims data from 2013 through 2019 were used, and data were analyzed in February 2023.Main outcomes and measuresClaims-weighted mean out-of-pocket spending per beneficiary per drug by insurance type, plan, and age.ResultsIn 2019, 37 324 and 24 159 individuals using ultra-expensive drugs were identified in the 20% Part D and commercial samples, respectively (mean [SD] age, 66.2 [11.7] years; 54.9% female). A statistically significant higher share of commercial enrollees vs Part D beneficiaries were female (61.0% vs 51.0%; P < .001), and a statistically significantly lower share were using 3 or more branded medications (28.7% vs 42.6%; P < .001). Mean out-of-pocket spending per beneficiary per drug in 2019 was $4478 in Part D (median [IQR], $4169 [$3369-$5947]) compared with $1821 for commercial (median [IQR], $1272 [$703-$1924]); these differences were statistically significant every year. Differences in out-of-pocket spending comparing commercial enrollees aged 60 to 64 years and Part D beneficiaries aged 65 to 69 years exhibited similar magnitudes and trends. By plan, mean out-of-pocket spending per beneficiary per drug in 2019 was $4301 (median [IQR], $4131 [$3000-$6048]) in Medicare Advantage prescription drug (MAPD) plans, $4575 (median [IQR], $4190 [$3305-$5799]) in stand-alone prescription drug plans (PDPs), $1208 (median [IQR], $752 [$317-$1240]) in health maintenance organization plans, $1569 (median [IQR], $838 [$481-$1472]) in preferred provider organization plans, and $4077 (median [IQR], $2882 [$1075-$4226]) in high-deductible health plans. There were no statistically significant differences between MAPD plans and stand-alone PDPs in any study year. Mean out-of-pocket spending was statistically significantly higher in MAPD plans compared with health maintenance organization plans and in stand-alone PDPs compared with preferred provider organization plans in each study year.Conclusions and relevanceThis cohort study demonstrated that the $2000 out-of-pocket cap included in the Inflation Reduction Act may substantially moderate the potential increase in spending faced by individuals who use ultra-expensive drugs when moving from commercial insurance to Part D coverage.
Project description:ImportancePrivately insured US children account for 40% of non-birth-related pediatric hospitalizations. However, there are no national data on the magnitude or correlates of out-of-pocket spending for these hospitalizations.ObjectiveTo estimate out-of-pocket spending for non-birth-related hospitalizations among privately insured children and identify factors associated with this spending.Design, setting, and participantsThis study is a cross-sectional analysis of the IBM MarketScan Commercial Database, which reports claims from 25 to 27 million privately insured enrollees annually. In the primary analysis, all non-birth-related hospitalizations of children 18 years and younger from 2017 through 2019 were included. In a secondary analysis focused on insurance benefit design, hospitalizations that could be linked to the IBM MarketScan Benefit Plan Design Database and were covered by plans with a family deductible and inpatient coinsurance requirements were analyzed.Main outcomes and measuresIn the primary analysis, factors associated with out-of-pocket spending per hospitalization (sum of deductibles, coinsurance, and copayments) were identified using a generalized linear model. In the secondary analysis, variation in out-of-pocket spending was assessed by level of deductible and inpatient coinsurance requirements.ResultsAmong 183 780 hospitalizations in the primary analysis, 93 186 (50.7%) were for female children, and the median (IQR) age of hospitalized children was 12 (4-16) years. A total of 145 108 hospitalizations (79.0%) were for children with a chronic condition and 44 282 (24.1%) were covered by a high-deductible health plan. Mean (SD) total spending per hospitalization was $28 425 ($74 715). Mean (SD) and median (IQR) out-of-pocket spending per hospitalization were $1313 ($1734) and $656 ($0-$2011), respectively. Out-of-pocket spending exceeded $3000 for 25 700 hospitalizations (14.0%). Factors associated with higher out-of-pocket spending included hospitalization in quarter 1 compared with quarter 4 (average marginal effect [AME], $637; 99% CI, $609-$665) and lack of chronic conditions compared with having a complex chronic condition (AME, $732; 99% CI, $696-$767). The secondary analysis included 72 165 hospitalizations. Among hospitalizations covered by the least generous plans (deductible of $3000 or more and coinsurance of 20% or more) and most generous plans (deductible less than $1000 and coinsurance of 1% to 19%), mean (SD) out-of-pocket spending was $1974 ($1999) and $826 ($798), respectively (AME, $1123; 99% CI, $1069-$1179).Conclusions and relevanceIn this cross-sectional study, out-of-pocket spending for non-birth-related pediatric hospitalizations were substantial, especially when they occurred early in the year, involved children without chronic conditions, or were covered by plans with high cost-sharing requirements.
Project description:In this study, we analyzed healthcare provision and health expenditure across six Mediterranean countries that adopt the National Health System (Beveridge model) and that form part of the European Union (EU) with the main aim being that of analyzing and comparing out-of-pocket health spending in countries with a European Mediterranean connection. To this end, we considered various economic indicators and statistics to derive commonalities and differences across these countries and also compared trends in these indicators to those observed across the rest of the EU. We then analyzed these findings in light of other data related to the quality of healthcare delivery and the infrastructure of the health system and discussed recent developments in healthcare within each country and the main challenges faced by the respective health systems. The results show that on average, Mediterranean countries spend less on total healthcare expenditure (THE) than the EU average, both as a proportion of GDP, as well as in per capita terms. This is primarily driven by lower-than-EU-average public funding of healthcare. The 2008/2009 macro-economic and financial crisis had a significant impact on the countries under review, and explains the persistent reductions in public health spending as part of the austerity measures put in force across sectors. On the flipside, Mediterranean countries have a higher presence of private health providers in total funding, thereby explaining the higher Out-of-Pocket (OOPs) health expenditures in these countries relative to the EU-average. With regard to the overall health infrastructure in these countries, we observed that although the supply of physicians is largely in line with the rest of the EU, there is under-supply when it comes to hospital beds. This may be symptomatic of lower government funding. Nonetheless, all countries score highly in the evaluation of the quality of health services, as recorded by international rankings like the WHO's 2000 metric, whereas health system performance indicators, namely mortality rates and life expectancy reveal favorable health outcomes in the Mediterranean EU countries. The findings in this paper may be seen in light of the Mediterranean region's lifestyle in terms of diet, health behavior, health beliefs and shared culture. In particular, the higher out-of-pocket expenditure may reflect the tendency for one-to-one relationships with private clinicians and the pursuit of person-centered care (1). Additionally, the Mediterranean people may not be as disciplined as their European counterparts in accessing and using the public health sector. The lower THE also reflects the fact that the Mediterranean countries are less wealthy than the more economically-advanced European countries.
Project description:Background: Patients are increasingly responsible for direct medical expenditures with a growth in out-of-pocket (OOP) expenses, which can impede access to care and affect treatment. This study aims to investigate the impact of capitation on OOP expenses for surgical and presurgical treatment for thumb carpometacarpal (CMC) joint arthritis. Methods: Patients with a diagnosis of thumb CMC arthritis who underwent surgery (2009-2016) comprised our study cohort. Sociodemographic data, total cost, and OOP expenses were collected at the time of surgery and 2 years prior. Patients were stratified by insurance type: fee-for-service (FFS), managed care (MC), Medicare-MC, and Medicare-FFS. Capitated plans were included in the MC and Medicare-MC groups. A generalized linear regression was performed to investigate the association between OOP expenses and insurance type. Results: Our cohort consisted of 7780 patients with FFS insurance, 953 with MC insurance, 2136 with Medicare-FFS, and 265 with Medicare-MC. There was no difference in total costs for FFS and MC (FFS $7281 vs. MC $7306, P = .73; Medicare-FFS $6663 vs. Medicare-MC $6183, P = .19). However, patients with FFS incurred significantly greater OOP costs (FFS $952 vs. MC $434, P < .01; Medicare-FFS $343 vs. Medicare-MC $232, P < .01). In the adjusted regression, MC, Medicare-FFS, and Medicare-MC had approximately 21% to 46% of the predicted OOP expenses of patients with FFS plans (P < .01). Conclusion: Despite similar total costs, OOP expenses were significantly greater for patients with FFS or Medicare-FFS insurance. With healthcare costs transitioning to patients, providers should consider cost sharing when conferring care to help alleviate the financial burden placed on patients.
Project description:Among privately insured children, the proportion of inflation-adjusted total health care spending accounted for by orphan drugs increased from 4.0 percent to 6.6 percent between 2013 and 2018. This increase was largely driven by price growth. Mean annual out-of-pocket spending for orphan drugs rose from $486 to $866 and was higher for children than adults.
Project description:Many state Medicaid officials are concerned about rising prescription drug spending, particularly drugs approved through the Food and Drug Administration's (FDA) accelerated approval pathway. The authors examined how much of Medicaid programs' accelerated approval spending is attributable to products that have demonstrated clinical benefits versus those that have not. Their findings provide support for states' concerns that pharmaceutical companies often fail to complete their required postapproval confirmatory studies within the FDA's requested timeline. But the findings also highlight one issue that policy stakeholders have not yet devoted substantial attention to: the use of surrogate endpoints involved in the postapproval confirmatory studies for most of the products in this study's sample. The granularity of the study's results enabled an analysis of the impact of different policy recommendations on both the accelerated approval pathway and Medicaid programs. These findings inform the current policy debate, suggesting that policy stakeholders might focus attention on products converting their approval on the basis of surrogate outcomes rather than on clinical outcomes.