Out-Of-Network Spending Mostly Declined In Privately Insured Populations With A Few Notable Exceptions From 2008 To 2016.
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ABSTRACT:
SUBMITTER: Song Z
PROVIDER: S-EPMC8299541 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The growth in healthcare spending is an important topic in the United States, and preterm and low-birthweight infants have some of the highest healthcare expenditures of any patient population. We performed a retrospective cohort study of spending in this population using a large, national claims database of commercially insured individuals. A total of 763,566 infants with insurance coverage through Aetna, Inc. for the first 6 months of post-natal life were included, and received approximately $8.4 billion (2016 USD) in healthcare services. Infants with billing codes indicating preterm status (<37 weeks, n = 50,511) incurred medical expenditures of $76,153 on average, while low-birthweight status (<2500 g) was associated with average spending of $114,437. Infants born at 24 weeks gestation (n = 418) had the highest per infant average expenditures of $603,778. Understanding the drivers of variation in costs within gestational age and birthweight bands is an important target for future studies.
| S-EPMC7314662 | biostudies-literature
Project description:We use insurance claims data covering 28% of individuals with employer-sponsored health insurance in the United States to study the variation in health spending on the privately insured, examine the structure of insurer-hospital contracts, and analyze the variation in hospital prices across the nation. Health spending per privately insured beneficiary differs by a factor of three across geographic areas and has a very low correlation with Medicare spending. For the privately insured, half of the spending variation is driven by price variation across regions, and half is driven by quantity variation. Prices vary substantially across regions, across hospitals within regions, and even within hospitals. For example, even for a nearly homogeneous service such as lower-limb magnetic resonance imaging, about a fifth of the total case-level price variation occurs within a hospital in the cross section. Hospital market structure is strongly associated with price levels and contract structure. Prices at monopoly hospitals are 12% higher than those in markets with four or more rivals. Monopoly hospitals also have contracts that load more risk on insurers (e.g., they have more cases with prices set as a share of their charges). In concentrated insurer markets the opposite occurs-hospitals have lower prices and bear more financial risk. Examining the 366 mergers and acquisitions that occurred between 2007 and 2011, we find that prices increased by over 6% when the merging hospitals were geographically close (e.g., 5 miles or less apart), but not when the hospitals were geographically distant (e.g., over 25 miles apart).
| S-EPMC7517591 | biostudies-literature
Project description:ObjectivesPublished cost estimates for cystic fibrosis (CF) are based on older data and do not reflect increased use of specialty drugs in recent years. We assessed recent trends in healthcare expenditures for CF patients in the United States (US) with employer-sponsored health insurance.MethodsThe study is a retrospective analysis of claims data for privately insured individuals aged 0-64 years who were continuously enrolled in non-capitated plans for at least 1 calendar year during 2010-2016. Mean annual expenditures during a calendar year were calculated for individuals who met a claims-based CF case definition. Average annual growth rates were calculated through linear regression of the natural logarithm of annual expenditures.ResultsThe annual CF prevalence was 1.1-1.4 per 10 000 adults and 2.9-3.0 per 10 000 children. Average spending adjusted for inflation nearly doubled from roughly $67 000 per patient in 2010 and 2011 to approximately $131 000 per patient in 2016. Inflation-adjusted spending on outpatient and inpatient care increased by 0.5% and 2.5% per year, respectively, whereas pharmaceutical spending increased by 20.2% per year. Virtually all of the growth in pharmaceutical spending was accounted for by spending on specialty drugs; inflation-adjusted spending on other medications increased by 1.3% per year. The annual growth rate in pharmaceutical spending rose by 33.1% during 2014-2016, the years during which lumacaftor/ivacaftor was introduced.ConclusionsPer-patient expenditures for privately-insured patients with CF almost doubled during 2010-2016; specialty drugs were largely responsible for this increase, with a major contribution from new, genotype-targeted CFTR modulator medications.
| S-EPMC6688469 | biostudies-literature
Project description:ImportanceLittle is known about small-area variations in health care spending and utilization across the 3 major funders of health care in the US: Medicare, Medicaid, and private insurers.ObjectiveTo measure regional health spending and utilization across Medicare, Medicaid, and the privately insured; to observe whether there are regions that are simultaneously low spending for all 3 payers; and to determine what factors are correlated with regional spending and utilization by payer.Design, setting, and participantsObservational cross-sectional analysis of the US health system in 2016 and 2017 for 241 of 306 hospital referral regions (HRRs) and 2 states. Participants include individuals with employer-sponsored coverage from Aetna, Humana, or UnitedHealth; individuals with Medicaid fee-for-service coverage in 2016 and 2017; and individuals with Medicare coverage. The analysis was carried out from January 2020 to May 2022.Main outcomes and measuresSpending per beneficiary and inpatient days per beneficiary by payer and overall.ResultsThe data include 25 381 167 individuals with employer-sponsored coverage, 69 891 299 with Medicaid coverage in 2016 and 2017, and 26 711 426 individuals with Medicare fee-for-service coverage. The percentage of enrollees who identified as female was 54.1% in the Medicaid program, 56.2% in the Medicare program, and 50.4% in private insurance. The mean (SD) age was 26.9 (21.8) years for Medicaid and 75.0 (7.9) years for Medicare enrollees; for private insurance enrollees, just age brackets were reported: 18 to 24 years (15.9%), 25 to 34 years (24.2%), 35 to 44 years (21.3%), 45 to 54 years (20.8%), and 55 to 64 years (17.8%). In 2017, the mean (SD) HRR-level spending per beneficiary was $4441 ($710) for private insurance, $10 281 ($1294) for Medicare, and $6127 ($1428) for Medicaid. Across HRRs, the correlation coefficients and 95% CIs were 0.020 (-0.106 to 0.146; P = .76) for private insurance and Medicare spending, 0.213 (0.090 to 0.330; P < .001) for private insurance and Medicaid, and 0.162 (0.037 to 0.282; P < .01) for Medicare and Medicaid. Just 3 HRRs (Boulder, Colorado; Bloomington, Illinois; and Olympia, Washington) were in the lowest spending quintile for all 3 insurance programs; 4 HRRs were in the highest (The Bronx, New York; Manhattan, New York; White Plains, New York; and Dallas, Texas). By contrast, the correlation coefficients and 95% CIs for utilization, measured in hospital days, were 0.465 (0.361 to 0.559; P < .001) for private insurance and Medicare, 0.527 (0.429 to 0.612; P < .001) for private insurance and Medicaid, and 0.278 (0.157 to 0.390; P < .001) for Medicare and Medicaid.Conclusions and relevanceThese findings suggest that payer-specific factors are correlated with health spending variation among Medicare beneficiaries, Medicaid beneficiaries, and the commercially insured and that payer-specific policies will be necessary to improve efficiency in the US health sector.
| S-EPMC9301520 | biostudies-literature
Project description:BACKGROUND:Infants younger than 6?months are at increased risk of complications and mortality from pertussis infection. In October 2012, the Advisory Committee on Immunization Practices revised its recommendation to include a Tdap dose during each pregnancy, ideally between 27 and 36?weeks gestation. OBJECTIVE:Assess trends in Tdap vaccination coverage among privately insured pregnant women from 2009 to 2016 including timing of Tdap vaccination (before, during, or after pregnancy), trimester of vaccination for women vaccinated during pregnancy, and missed vaccination opportunities for unvaccinated women. Identify factors associated with vaccination during the optimal period of 27-36?weeks gestation. STUDY DESIGN:Retrospective analysis of privately insured women 15-49?years who delivered live births during 2009-2016 conducted using 2009-2016 MarketScan data. Tdap vaccination coverage and the timing of Tdap vaccine administration were assessed for women continuously enrolled from 6?months before pregnancy to 1?month after delivery. Multivariable logistic regression was performed to identify factors independently associated with receipt of Tdap vaccine at 27-36?weeks gestation. RESULTS:Tdap vaccination coverage during pregnancy increased from 0.4% in 2009 to 6.2% in 2012 and to 53.2% in 2016. The proportion of vaccinated women receiving Tdap at 27-36?weeks gestation increased from <10% in 2009 to nearly 90% in 2016, with most vaccination occurring at 27-32?weeks gestation. Women of older age, residing in a metropolitan statistical area, residing outside the South, and having a capitated health insurance plan were more likely to receive Tdap at 27-36?weeks gestation than their counterparts. Among women not vaccinated during pregnancy, 77.7% had a pregnancy-related medical claim between 27 and 36?weeks gestation. CONCLUSION:Tdap vaccination coverage during pregnancy increased significantly from 2009 to 2016, with the greatest increase occurring after the revised Advisory Committee on Immunization Practices recommendation. Most women who did not receive Tdap vaccine had a missed vaccination opportunity during pregnancy, indicating potential for much higher vaccination coverage and consequent infant protection against pertussis.
| S-EPMC6557580 | biostudies-literature
Project description: Not available
| S-EPMC7265118 | biostudies-literature
Project description:OBJECTIVES:A substantial portion of healthcare spending is wasted on services that do not directly improve patient health and that cause harm in some cases. Features of health insurance coverage, including enrollment in high-deductible health plans (HDHPs) or health maintenance organizations (HMOs), may provide financial and nonfinancial mechanisms to potentially reduce overuse of low-value healthcare services. STUDY DESIGN:Using 2009 to 2013 administrative data from 3 large commercial insurers, we examined patient characteristics and health insurance plan types associated with overuse of 6 healthcare services identified by the Choosing Wisely campaign. METHODS:We explored associations between overuse and patient characteristics using multivariate logistic regression models, including patient age, gender, enrollment in an HMO, enrollment in an HDHP, an indicator of primary care fragmentation, and number of outpatient visits as explanatory variables. RESULTS:Measurement of services highlighted as potential overuse by the Choosing Wisely recommendations revealed low to moderate prevalence, depending on the service. HMO coverage and enrollment in HDHPs were significantly associated with differences in prevalence of all 6 services, albeit differently in terms of the direction of the effects. Primary care fragmentation was significantly associated with higher rates of overuse. CONCLUSIONS:Neither HDHPs nor HMO plans, with their closed networks and referral requirements, consistently reduced overuse, although HMO plans were never associated with higher rates of overuse. As policy makers seek levers for reducing low-value healthcare utilization, health insurance plan features may prove a valuable target, although the effect may be complicated by other factors.
| S-EPMC5985657 | biostudies-literature
Project description:IntroductionBenzodiazepines are commonly prescribed in the U.S. but entail safety concerns, including dependency. In pediatrics, many indications lack trial data. Authors aimed to describe youth initiating prescription benzodiazepine treatment, identify potential indications and prescribing concerns, estimate the duration of treatment by potential indication, and identify factors that predict long-term use.MethodsThe study cohort included children (aged 3-12 years) and adolescents (aged 13-17 years) initiating prescription benzodiazepine treatment (≥3 days' supply) from January 2010 to September 2015 in a U.S. commercial claims database. Potential indications included selected ICD-9-CM diagnoses (≤30 days prior). Long-term (≥6 months) benzodiazepine treatment was estimated with Kaplan-Meier estimation and modified Poisson regression identified independent predictors of long-term benzodiazepine treatment (analysis completed in 2018).ResultsOf 24,504 children and 61,046 adolescents initiating benzodiazepines, 62% of the children and 68% of the adolescents had a potential indication. Anxiety disorders were the most common indication, with mental health indications more common among adolescents (45%) than children (23%) and epilepsy and movement disorders higher in children. Recent opioid prescriptions were common before benzodiazepine initiation (children, 22%; adolescents, 21%). Six percent of the initiators became long-term benzodiazepine users. Potential indication, provider contact, psychotropic medication, and chronic conditions independently predicted long-term benzodiazepine treatment in adolescents and children.ConclusionsU.S. children and adolescents are prescribed benzodiazepines for various mental health and other medical conditions, many lacking evidence of pediatric efficacy. Long-term benzodiazepine treatment, concurrent opioid prescriptions, psychotropic use, and prior substance use disorder diagnoses suggest safety risks among some youth prescribed benzodiazepines.
| S-EPMC6935869 | biostudies-literature
Project description:ObjectiveTo estimate trends of annual antipsychotic medication use by privately insured young children (aged 2-7 years) in the United States, and to describe the clinical and treatment characteristics of these children.MethodThe study population included young children from a nationwide commercial claims database (2007-2017). We estimated annual antipsychotic use by age and sex, defined as the number of children dispensed an antipsychotic per year divided by the number enrolled. We described clinical diagnoses and mental health service use in those with prescription antipsychotic use in 2009 and 2017.ResultsAnnual antipsychotic use in young children was 0.27% in 2007, peaked at 0.29% in 2009, and statistically significantly declined to 0.17% by 2017 (linear trend: -0.017% per year, 95% CI: -0.018 to -0.016). Antipsychotic use was higher in boys than in girls. A greater proportion of antipsychotic users received a mental disorder diagnosis in 2017 (89%) than in 2009 (86%, p < .01). The most common clinical diagnoses in antipsychotic users, under a hierarchical classification, were pervasive developmental disorder (2009 = 27%, 2017 = 38%, p < .01), conduct or disruptive behavior disorder (2009 = 15%, 2017 = 21%, p < .01), and attention-deficit/hyperactivity disorder (2009 = 24%, 2017 = 18%, p < .01). Among 2017 antipsychotic users, 32% had 4+ psychotherapy claims, 43% had a psychiatrist visit, and the majority used another psychotropic medication, most commonly a stimulant (boys = 57%, girls = 50%).ConclusionIn privately insured young children, antipsychotic use declined from 2009 to 2017, with shifts toward indications with some supporting evidence. Nevertheless, a majority of use remains off label and for conditions lacking effectiveness and safety data. Improving antipsychotic prescribing in young children remains a challenge.
| S-EPMC8055725 | biostudies-literature
Project description:BackgroundAmbulatory antibiotic prescriptions without a clinic visit or without documentation of infection could represent overuse and contribute to adverse outcomes. We aim to describe US ambulatory antibiotic prescribing, including those without an associated visit or infection diagnosis.MethodsWe conducted an observational cohort study using data of all patients receiving antibacterial, antibiotic prescriptions from 04/01/2016 to 06/30/2018 in a large US private health insurance plan. We identified outpatient antibiotic prescriptions as (1) associated with a clinician visit and an infection-related diagnosis; (2) associated with a clinician visit but no infection-related diagnosis; or (3) not associated with an in-person clinician visit in the 7 days before the prescription (non-visit-based). We then assessed whether non-visit-based antibiotic prescriptions (NVBAPs) differed from visit-based antibiotics by patient, clinician, or antibiotic characteristics using multivariable models.ResultsThe cohort included 8.6M enrollees who filled 22.3M antibiotic prescriptions. NVBAP accounted for 31% (6.9M) of fills, and non-infection-related prescribing accounted for 22% (4.9M). NVBAP rates were lower for children than for adults (0-17 years old, 16%; 18-64 years old, 33%; >65 years old, 34%). Among most commonly prescribed antibiotic classes, NVBAP was highest for penicillins (36%) and lowest for cephalosporins (25%) and macrolides (25%). Specialist physicians had the highest rate of NVBAP (38%), followed by internists (28%), family medicine (20%), and pediatricians (10%). In multivariable models, NVBAP was associated with increasing age, and NVBAP was less likely for patients in the South, those with more baseline clinical visits, or those with chronic lung disease.ConclusionsOver half of ambulatory antibiotic use was either non-visit-based or non-infection-related. Particularly given health care changes due to the coronavirus disease 2019 pandemic, efforts to improve antibiotic prescribing must account for non-visit-based and non-infection-related prescribing.
| S-EPMC8436380 | biostudies-literature