Racial and ethnic disparities in emergency department transfers to public hospitals.

OBJECTIVE: To examine racial/ethnic differences in emergency department (ED) transfers to public hospitals and factors explaining these differences. DATA SOURCES AND STUDY SETTING: ED and inpatient data from the Healthcare Cost and Utilization Project for Florida (2010-2019); American Hospital Association Annual Survey (2009-2018). STUDY DESIGN: Logistic regression examined race/ethnicity and payer on the likelihood of transfer to a public hospital among transferred ED patients. The base model was controlled for patient and hospital characteristics and year fixed effects. Models II and III added urbanicity and hospital referral region (HRR), respectively. Model IV used hospital fixed effects, which compares patients within the same hospital. Models V and VI stratified Model IV by payer and condition, respectively. Conditions were classified as emergency care sensitive conditions (ECSCs), where transfer is protocolized, and non-ECSCs. We reported marginal effects at the means. DATA COLLECTION/EXTRACTION METHODS: We examined 1,265,588 adult ED patients transferred from 187 hospitals. PRINCIPAL FINDINGS: Black patients were more likely to be transferred to public hospitals compared with White patients in all models except ECSC patients within the same initial hospital (except trauma). Black patients were 0.5-1.3 percentage points (pp) more likely to be transferred to public hospitals than White patients in the same hospital with the same payer. In the base model, Hispanic patients were more likely to be transferred to public hospitals compared with White patients, but this difference reversed after controlling for HRR. Hispanic patients were - 0.6 pp to -1.2 pp less likely to be transferred to public hospitals than White patients in the same hospital with the same payer. CONCLUSIONS: Large population-level differences in whether ED patients of different races/ethnicities were transferred to public hospitals were largely explained by hospital market and the initial hospital, suggesting that they may play a larger role in explaining differences in transfer to public hospitals, compared with other external factors.

Impact of the Affordable Care Act on Prescription Contraceptive Use and Costs Among Privately Insured Women, 2006-2020.

BACKGROUND: In the years immediately following the Affordable Care Act (ACA)'s contraceptive coverage requirement, out-of-pocket costs fell for all Food and Drug Administration-approved contraceptive methods and use of long-acting reversible contraception (LARC) increased. This analysis examines whether these trends have continued through 2020 for privately insured women. METHODS: Using 2006-2020 MarketScan data, we examined trends in prescription contraceptive use and out-of-pocket costs among women 13 to 49 years old. Multivariable analyses model the likelihood of contraceptive use and paying $0 post-ACA requirement (vs. pre-ACA requirement) for contraception, controlling for age group, U.S. region, urban versus rural, and cohort year. RESULTS: The likelihood of LARC insertion increased post-ACA requirement (adjusted odds ratio [aOR] 1.127, 95% confidence interval [CI] 1.121-1.133), with insertion rates peaking at 3.73% for intrauterine devices (IUDs) and 1.08% for implants in 2019, before declining with the onset of the COVID-19 pandemic in 2020. Although the likelihood of paying $0 for LARC increased after the ACA requirement (IUD: aOR 5.495, 95% CI 5.278-5.716; implant: aOR 7.199, 95% CI 6.992-7.412), the proportion of individuals paying $0 declined to 69% for IUDs and 73% for implants in 2020, after having peaked at 88% in 2014 and 90% in 2016, respectively. For oral contraceptives, both use (aOR 1.028, 95% CI 1.026-1.030) and paying $0 (aOR 20.399, 95% CI 20.301-20.499) increased significantly after the ACA requirement. CONCLUSION: With the exception of oral contraceptives, the proportion of individuals paying $0 for all contraceptive methods declined after peaking in 2014 for IUDs, 2016 for the implant, and 2019 for non-LARC methods. Future monitoring is needed to understand the continuing impact of the ACA requirement on prescription contraceptive use and costs.

Receipt of Electroconvulsive Therapy in Outpatient Settings in a National Sample of Privately Insured Patients With Mood Disorders.

PURPOSE: Electroconvulsive therapy (ECT), an effective treatment for bipolar and major depressive disorder, is underused. Little information is available on use of ECT in potentially less costly outpatient settings, possibly reducing cost barriers. METHODS: Insurance claims from the 2008 to 2017 MarketScan Commercial Database for patients diagnosed with mood disorders were used to compare 4 groups of ECT users in each year: those receiving (1) exclusively outpatient ECT, (2) first inpatient and subsequently outpatient, (3) outpatient and subsequently inpatient, and (4) exclusively inpatient ECT. Groups were compared on the proportion receiving ECT in each group over time as well as on the total numbers of treatments received along with group differences in sociodemographic and diagnostic characteristics and health care costs. RESULTS: Among 2.9 million patients diagnosed with mood disorders, the proportion who received ECT (n = 8859) was small (0.30%) and declined over the decade to 0.17%. Among those who received ECT, most did so exclusively as outpatients (52.3%), the group with fewest comorbidities and lowest costs. This proportion increased by 19.7% over the decade, whereas the proportion receiving ECT exclusively in an inpatient setting (12.1%) fell by 30.6%. The total number of treatments per patient averaged 11.7 per year and increased by 28.0% over the decade, with outpatients decreasing to slightly less than average. Health care costs were greatest for those who started ECT as inpatients. CONCLUSIONS: Although the proportion of privately insured patients receiving ECT in outpatient settings has increased, reducing cost barriers, the use of ECT continued to be extremely limited and declining.

Medications for Alcohol Use Disorder and Retention in Care in Medicaid-Enrolled Youth, 2014-2019.

PURPOSE: Alcohol use disorder (AUD) is a pediatric-onset condition needing timely, effective treatment. Medications for AUD are part of nationally recommended treatments for youth. This study measured receipt of medications and behavioral health services for AUD and subsequent retention in care. METHODS: This retrospective cohort study used claims data from > 4.7 million publicly insured youth aged 13-22 years in 15 states from 2014-2019. Timely treatment was defined as receipt of medication (naltrexone, acamprosate, or disulfiram) and/or behavioral health services within 30 days of incident AUD diagnosis. Associations of age and other characteristics with timely treatment were identified using modified Poisson regression. Retention in care (i.e., no period ≥ 60 days without claims) was studied using Cox regression. RESULTS: Among 14,194 youth with AUD, 10,851 (76.4%) received timely treatment. Only 2.1% of youth received medication (alone or in combination); nearly all (97.9%) received behavioral health services only. Older (aged 16-17 years) and younger adolescents (aged 13-15 years) were 0.13 (95% confidence interval [CI], 0.07-0.26) and 0.24 (95% CI, 0.11-0.51) times as likely, respectively, to receive medications than young adults aged ≥ 21 years. Median retention in care for youth receiving medications was 119 days (interquartile range, 54-321) compared with 108 days (interquartile range, 43-243) for behavioral health services alone (p = .126). Young adults aged ≥ 18 years were 1.12 (95% CI, 1.06-1.18) times as likely to discontinue treatment compared with adolescents aged < 18 years. DISCUSSION: This study found that more than seven in 10 youth received AUD treatment but only two in 100 received medications. Future studies should further characterize the effectiveness of medications and determine whether low rates of receipt represent underuse.

A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks.

Policy Points Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities. No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks. The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism. CONTEXT: Emergency care includes two key components: initial stabilization and transfer to a higher level of care. Significant work has focused on ensuring that local facilities can stabilize patients. However, less is understood about transfers for definitive care. To better understand how transfer network structure impacts population health and equity in emergency care, we proposea conceptual framework, the hospital transfer network equity-quality model (NET-EQUITY). NET-EQUITY can help optimize population outcomes, decrease disparities, and enhance planning by supporting a framework for understanding emergency department transfers. METHODS: To develop the NET-EQUITY framework, we synthesized work on health systems and quality of health care (Donabedian, the Institute of Medicine, Ferlie, and Shortell) and the research framework of the National Institute on Minority Health and Health Disparities with legal and empirical research. FINDINGS: The central thesis of our framework is that the structure of hospital transfer networks influences patient outcomes, as defined by the Institute of Medicine, which includes equity. The structure of hospital transfer networks is shaped by internal and external factors. The four main external factors are the regulatory, economic environment, provider, and sociocultural and physical/built environment. These environments all implicate issues of equity that are important to understand to foster an equitable population-based system of emergency care. The framework highlights external and internal factors that determine the structure of hospital transfer networks, including structural racism and inequity. CONCLUSIONS: The NET-EQUITY framework provides a patient-centered, equity-focused framework for understanding the health of populations and how the structure of hospital transfer networks can influence the quality of care that patients receive.

One-year Medicare costs associated with delirium in older hospitalized patients with and without Alzheimer's disease dementia and related disorders.

INTRODUCTION: One-year health-care costs associated with delirium in older hospitalized patients with and without Alzheimer's disease and related dementias (ADRD) have not been examined previously. METHODS: Medicare costs were determined prospectively at discharge, and at 30, 90, and 365 days in a cohort (n = 311) of older adults after hospital admission. RESULTS: Seventy-six (24%) patients had ADRD and were more likely to develop delirium (51% vs. 24%, P < 0.001) and die within 1 year (38% vs. 21%, P = 0.002). In ADRD patients with versus without delirium, adjusted mean difference in costs associated with delirium were $34,828; most of the excess costs were incurred between 90 and 365 days (P = 0.03). In non-ADRD patients, delirium was associated with increased costs at all timepoints. Excess costs associated with delirium in ADRD patients increased progressively over 1 year, whereas in non-ADRD patients the increase was consistent across time periods. DISCUSSION: Our findings highlight the complexity of health-care costs for ADRD patients who develop delirium, a potentially preventable source of expenditures. HIGHLIGHTS: Novel examination of health-care costs of delirium in persons with and without Alzheimer's disease and related dementias (ADRD). Increased 1-year costs of $34,828 in ADRD patients with delirium (vs. without). Increased costs for delirium in ADRD occur later during the 365-day study period. For ADRD patients, cost differences between those with and without delirium increased over 1 year. For non-ADRD patients, the parallel cost differences were consistent over time.

Buprenorphine treatment episode duration, dosage, and concurrent prescribing of benzodiazepines and opioid analgesics: The effects of Medicaid prior authorization policies.

BACKGROUND: Buprenorphine is an effective medication for the treatment of opioid use disorder (OUD), but the association between prior authorization policies and quality of care for individuals receiving buprenorphine treatment is not well-understood. METHODS: Using 2006-2013 Medicaid Analytic eXtract (MAX) data from 34 states and the District of Columbia, we identified 294,031 episodes of buprenorphine treatment for OUD among individuals aged 14-64 years. We estimated generalized difference-in-differences models to examine the association between buprenorphine prior authorization policies and changes in buprenorphine treatment quality along four dimensions: (1) duration of at least 180 days, (2) dosage of at least 8 milligrams, and concurrent prescribing of (3) opioid analgesics and (4) benzodiazepines. RESULTS: Buprenorphine prior authorization policies were associated with an 11-percentage point reduction (p < 0.01) in the likelihood of episodes with a duration of at least 180 days in the first four years after policy implementation. The policy was not associated with changes in effective dosage or concurrent prescribing of opioid analgesics or benzodiazepines. CONCLUSIONS: Buprenorphine prior authorization policies were associated with a sizeable and significant reduction in episodes of at least 180 days duration, underscoring the importance of identifying and removing barriers to effective and appropriate OUD care.

The bystander effect: Impact of rural hospital closures on the operations and financial well-being of surrounding healthcare institutions.

INTRODUCTION: There is presently a rural hospital shortage in the United States with 180 closures since 2005 and hundreds of institutions in financial peril. Although the hospital closure phenomenon is well-established, less is known about the spillover impact on the operations and financial wellbeing of surrounding hospitals. This preliminary study quantified how discrete rural hospital closures impact institutions in their regional proximity, finding a significant increase in inpatient admissions and emergency department visits for these "bystander hospitals". METHODS: Using a repository of rural hospital closures collected by the UNC Sheps Center for Health Services Research, we identified closures over the past 15 years. Criteria for inclusion were hospitals that had been fully closed between 2005-2016 and with >25-bed capacity. We then designated surrounding hospitals within a 30-mile radius of each closed hospital as "bystander hospitals." We examined the average rate-of-change for inpatient admissions and emergency department visits in surrounding hospitals both two years before and after relevant hospital closures. RESULTS: We identified 53 hospital closures and 93 bystander hospitals meeting our criteria during the study period. With respect to geographic distribution, 66% of closures were in the Southern US, including 21% in Appalachia. Average emergency department visits increased by 3.59% two years prior to a hospital's closure; however, at two years post-closure the average rate of increase rose to 10.22% (F (4,47) = 2.77, p = 0.0375). Average bystander hospital admissions fell by 5.73% in the two years preceding the hospital closure but increased 1.17% in the two years after (F (4,46) = 3.05, p = 0.0259). CONCLUSION: These findings predict a daunting future for rural healthcare. While previous literature has described the acute effects hospital closures have on communities, this study suggests a significant spillover effect on hospitals within the geographic region and a cyclical process at play in the rural healthcare sector. In the absence of significant public health assistance in regions affected by closures, poor health outcomes, including "diseases of despair," are likely to continue proliferating, disproportionately affecting the most vulnerable. In the COVID-19 era, it will be especially necessary to focus on hospital closures given increased risk of maintaining solvency due to delayed and deferred care atop already tight margins.

Comparative salary-related costs of a brief app-directed delirium identification protocol by hospitalists, nurses, and nursing assistants.

BACKGROUND: Systematic screening can improve delirium identification among hospitalized older adults. Prior studies have shown clinicians and health system leaders may believe they do not have the time and resources for assessment. We conducted a comparative salary-related cost analysis of an adaptive delirium identification protocol directed by an iPad app. METHODS: We recruited 527 older adult medicine patients from an urban academic medical center (n = 269) and a rural community hospital (n = 258). Physicians and nurses completed the two-step Ultra-brief Confusion Assessment Method (UB-CAM) protocol (with or without a skip pattern), while certified nursing assistants completed only the UB-2 ultra-brief screen. The sample included 527 patients (average age 80, 57% women, 35% with dementia). Time required to administer the protocol was collected automatically by the iPad app. Salary-related costs of screening were determined by multiplying the time required by the hourly wage for the three disciplines, as obtained from national and regional published healthcare salary cost data. Cost estimates for entire hospital implementation were also calculated. RESULTS: Participants were screened on 924 hospital days by 399 clinicians (53 physicians, 236 nurses, 110 CNAs). For the UB-2, CNAs cost per screen was lower than the other clinician types ($0.37 per screen vs. $0.73 for nurses and $2.39 for hospitalists). For the UB-CAM with skip (UB-CAM), costs per protocol were $1.10 for nurses vs. $3.61 for physicians. The annual salary-related costs of hospital-wide implementation of a nurse-based UB-CAM protocol in a medium-sized (300-bed) hospital was $63,015 plus $4356 for initial and annual training. CONCLUSIONS: CNAs and nurses had the lowest salary-associated costs for app-directed CAM-based delirium screening and identification, respectively. Salary-related annual hospital costs for the most efficient protocols in a medium-sized hospital were less than the annual cost of hiring 1 FTE of the discipline performing the protocols.

Sociodemographic differences in quality of treatment to Medicaid enrollees receiving buprenorphine.

Background: Buprenorphine is a key medication to treat opioid use disorder, but little is known about how treatment quality varies across sociodemographic groups. Objective: We examined measures of treatment quality and explored variation by sociodemographic factors. Methods: We used Medicaid MAX data from 50 states from 2006 to 2014 to identify buprenorphine treatment episodes (N = 317,494). We used multivariable logistic regression to examine the quality of buprenorphine treatment along four dimensions: (1) sufficient duration, (2) effective dosage, and concurrent prescribing of (3) opioid analgesics and (4) benzodiazepines. We explored how quality varied by race/ethnicity, age, sex, and urbanicity. Results: In adjusted models, compared to non-Hispanic White individuals, non-Hispanic Black and Hispanic individuals had lower odds of receiving effective dosage (aORs = 0.79 and 0.89, respectively) and sufficient duration (aORs = 0.64 and 0.71, respectively), and lower odds of concurrent prescribing of opioid analgesics (aORs = 0.86 and 0.85, respectively) and benzodiazepines (aORs = 0.51 and 0.59, respectively). Older individuals had higher odds of sufficient duration (aORs from 1.21-1.33), but also had higher odds of concurrent opioid analgesics prescribing (aORs from 1.29-1.56) and benzodiazepines (aORs from 1.44-1.99). Females had higher odds of sufficient duration (aOR = 1.12), but lower odds of effective dosage (aOR = 0.77) and higher odds of concurrent prescribing of opioid analgesics (aOR = 1.25) and benzodiazepines (aOR = 1.16). Compared to individuals living in metropolitan areas, individuals living in non-metropolitan areas had higher odds of sufficient duration (aORs = 1.11 and 1.24) and effective dosage (aORs = 1.06 and 1.33), and lower odds of concurrent prescribing (aORs from 0.81-0.98). Conclusions: Black and Hispanic individuals were less likely to receive effective buprenorphine dosage and sufficient duration. Quality results were mixed for older and female individuals; although these individuals were more likely to receive treatment of sufficient duration, they were also more likely to be concurrently prescribed potentially contraindicated medications, and females were less likely to receive effective dosage. Findings raise concerns about adequacy of care for minority and other at-risk populations.

Cost assessment of allergy procedures to improve high-value care implementation.

Background: Oral challenges and desensitizations are regularly performed by allergy/immunology physicians. However, there is limited research that has evaluated their cost-effectiveness and overall health-care-related value. Objective: The objective was to analyze the costs of oral challenges and desensitizations by clinician type (including allergy/immunology physicians, other physicians, and certified registered nurse practitioners [CRNP] and physician assistants [PA]), and by geographic distribution in the United States. Methods: By using a de-identified commercial database of medical encounters, we identified all claims for outpatient oral challenges and desensitizations in 2017 and grouped them separately by clinician type and by U.S. Census region. We used analysis of variance to test for cost differences between these two groupings. Results: Allergy/immunology physicians performed the majority of oral challenges (74.36%) with a mean cost of $161, significantly less than that of other physicians ($280). Allergy/immunology physicians also performed the majority of desensitizations (84.48%) with a mean cost of $335, significantly higher than that of CRNPs/PAs ($280); other physicians were reimbursed significantly more than both groups ($410). By geographic region, the mean costs of oral challenges in the Northeast ($212) and the West ($210) were significantly higher than those of other regions, whereas the mean cost of desensitizations was significantly highest in the West ($381). Conclusion: Allergy/immunology physicians and CRNPs/PAs cost the least with respect to oral challenges, whereas CRNPs/PAs cost the least with respect to desensitizations. The Northeast and the West regions provided the highest cost for oral challenges, whereas the West was most expensive in terms of desensitizations. Further knowledge and examination of these reimbursement patterns are crucial in understanding their relative value and the impact on delivery of high-value care.

The use of emotional intelligence skills in combating burnout among residency and fellowship program directors.

BACKGROUND: Current rates of burnout among physicians are alarming when compared to nonphysician U.S. workers, and numerous interventions have been introduced to mitigate the issue. However, no interventions have specifically targeted the 30% burnout rate among physician program directors. The complex and demanding role of program directors necessitates building relationships, solving crises, securing jobs for residents and maintaining well-being of trainees. The aim of this study is to investigate the impact of emotional intelligence (EQ) on burnout levels among program directors. METHODS: A cross-sectional survey was administered from May 17 to June 30, 2021 to program directors and assistant/ associate program directors at an academic medical center in south-central Pennsylvania. A self-report questionnaire was used to collect data. The survey included an open-ended question along with the Trait Emotional Intelligence Questionnaire- Short Form (TEIQue-SF), Copenhagen Burnout Inventory (CBI), and demographic questions. All data were analyzed using SAS Version 9.4. RESULTS: Of the 109 program directors and assistant/associate program directors invited in the survey, 34 (31.20%) responded. The findings indicate that there is a moderate inverse association between EQ and burnout, suggesting EQ as a protective factor against burnout. We also found that program directors who were considering leaving their position demonstrated higher levels of burnout compared to those who did not. Results from the open-ended question suggest that perceived lack of support, micromanagement, criticism, and extra duties with less payment were among the reasons program directors and associates were considering steeping down from their position. The results showed no association between EQ skills and years of practicing. CONCLUSIONS: Burnout among program directors and assistant/associate program directors is not as alarming as rates of burnout among physicians-in-training. However, despite high level of EQ skills and low burnout level, nearly 43% of program directors were considering leaving their position. Nurturing EQ skills may be useful in improving retention and reducing turnover among medical leaders.

Effect of Out-of-Pocket Costs on Subsequent Mammography Screening.

OBJECTIVE: Although the Affordable Care Act eliminated cost sharing for screening mammography, a concern is that grandfathered plans, diagnostic mammograms, and follow-up testing may still lead to out-of-pocket (OOP) spending. Our study examines how OOP spending among women at their baseline screening mammogram may impact the decision to receive subsequent screening. METHODS: The study included commercially insured women aged 40 to 41 years with a screening mammogram between 2011 and 2014. We estimated multivariate linear probability models of the effect of OOP spending at the baseline mammogram on subsequent screening 12 to 36 months later. RESULTS: Having any OOP payments for the baseline screening mammogram significantly reduced the probability of screening in the subsequent 12 to 24 months by 3.0 percentage points (pp) (95% confidence interval [CI]: 1.1-4.8 pp decrease). For every $100 increase in the OOP expenses for the baseline mammogram, the likelihood of subsequent screening within 12 to 24 months decreased by 1.9 pp (95% CI: 0.8-3.1 pp decrease). Similarly, any OOP spending for follow-up tests resulting from the baseline screening led to a 2.7 pp lower probability of screening 12 to 24 months later (95% CI: 0.9-4.1 pp decrease). Higher OOP expenses were associated with significantly lower screening 24 to 36 months later (coefficient = -0.014, 95% CI: -0.025 to -0.003). DISCUSSION: Although cost sharing has been eliminated for screening mammograms, OOP costs may still arise, particularly for diagnostic and follow-up testing services, both of which may reduce rates of subsequent screening. For preventive services, reducing or eliminating cost sharing through policy and legislation may be important to ensuring continued adherence to screening guidelines.

The Association of the Medicaid 1915(c) Home and Community-Based Services Waivers with Emergency Department Utilization among Youth with Autism Spectrum Disorder.

Using the 2008-2013 Medicaid Analytic eXtract files, this retrospective cohort study was to evaluate the effect of Medicaid home and community-based services (HCBS) waiver programs on emergency department (ED) utilizations among youth with autism spectrum disorder (ASD). Our study showed that the annual ED utilization rates were 13.5% and 18.8% for individuals on autism specific and intellectual and developmental disabilities (IDD) waivers respectively, vs. 28.5% for those without a waiver. Multivariable logistic regression showed that, compared to no waiver, autism specific waivers (adjusted odds ratio: 0.62; 95% Confidence Interval: [0.58-0.66]) and IDD waivers (0.65; [0.64-0.66]) were strongly associated with reduced ED. These findings suggest that HCBS waivers are effective in reducing the incidence of ED visits among youth with ASD.

Does Electroconvulsive Therapy for Patients with Mood Disorders Extend Hospital Length of Stays and Increase Inpatient Costs?

Although randomized trials have shown that electroconvulsive therapy (ECT) is an effective and underused treatment for mood disorders, its impact on inpatient length of stay (LOS) and hospital costs are not fully understood. We analyzed private insurance claims of patients hospitalized for mood disorders who had continuous insurance for three months prior to an index hospitalization and six months after discharge (N = 24,249). Propensity score weighted linear models were used to examine the association of any ECT use, the number of ECT treatments, and time to first ECT treatment, with LOS and hospital costs adjusting for potential confounders. Three months prior to the index hospitalization, patients who subsequently received ECT had more than double the total healthcare costs and bed days ($12,669 vs. $6,333 and 4.5 vs. 0.92 days, p < .001) of the other group. During their index admission, patients receiving ECT had longer LOS (16.1 vs. 5.8 days, p < .001) and three times greater hospital costs ($28,607 vs. $8,708, p < .001). Analyses adjusted for other group differences showed a dose-response relationship between the number of ECT treatments and LOS and hospital costs. Receipt of ECT was associated with increased LOS by 4 to 29 days depending on the number of ECT treatments and increasing total hospital costs from $5,767 to $52,717. Receipt of any ECT and the number of treatments during hospitalization were associated with markedly increased LOS, hospital admission costs, and post-discharge costs. Cost-effectiveness of ECT may be enhanced by shifting treatments to outpatient settings when possible.

Cervical cancer screening varies by HPV vaccination status among a National Cohort of privately insured young women in the United States 2006-2016.

ABSTRACT: Human papillomavirus (HPV) vaccination in young women is low. Women aged 21 to 65 years in the United States (U.S.) have not reached the Healthy People 2020 objective of 93% for cervical cancer screening. The main aim of this study was to investigate the association between HPV vaccination status and cervical cancer screening among privately insured women aged 21 to 26 years in the U.S.This was a retrospective cohort study using the IBM MarketScan database (2006-2016). The study population included 190,982 HPV-vaccinated women and 763,928 matched unvaccinated women. Adjusted incidence rate ratio (IRR) and the 95% confidence intervals (CIs) were obtained using the generalized estimating equations models with a Poisson distribution.Among a total of 954,910 women included in the analysis, age (mean [SD]) was 23.3 [1.6] years. During 967,317 person-years of follow-up, a total of 475,702 incidents of cervical cancer screening were identified. The incidence density rates of cervical cancer screening were 461 per 1000 person-years (PY) for unvaccinated women and 787 per 1000 PY for those who received 3 doses of the HPV vaccine. After adjusting for other covariates, the IRR of cervical cancer screening was 34% higher among HPV-vaccinated women with at least one vaccine dose than unvaccinated women (adjusted IRR = 1.34, 95% CI: 1.33-1.35; P < .0001). The IRR of cervical cancer screening varied by the dose of HPV vaccination. There was evidence of a linear dose-response relationship between the number of HPV vaccine doses and cervical cancer screening (P-trend < .0001). Compared with unvaccinated women, the IRR of cervical cancer screening were 14%, 39%, and 60% higher among those who received 1, 2, and 3 doses of the HPV vaccine, respectively.In this large retrospective cohort study of privately insured women, HPV-vaccinated women were more likely to be screened for cervical cancer compared with unvaccinated women.

Medical Service Use and Charges for Cancer Care in 2018 for Privately Insured Patients Younger Than 65 Years in the US.

Importance: Currently, there are limited published data regarding resource use and spending on cancer care in the US. Objective: To characterize the most frequent medical services provided and the associated spending for privately insured patients with cancer in the US. Design, Setting, and Participants: This cohort study used data from the MarketScan database for the calendar year 2018 from a sample of 27.1 million privately insured individuals, including patients with a diagnosis of the 15 most prevalent cancers, predominantly from large insurers and self-insured employers. Overall societal health care spending was estimated for each cancer type by multiplying the mean total spending per patient (estimated from MarketScan) by the number of privately insured patients living with that cancer in 2018, as reported by the National Cancer Institute's Surveillance, Epidemiology, and End Results program. Analyses were performed from February 1, 2018, to July 8, 2021. Exposures: Evaluation and management as prescribed by treating care team. Main Outcomes and Measures: Current Procedural Terminology and Healthcare Common Procedure Coding System codes based on cancer diagnosis code. Results: The estimated cost of cancer care in 2018 for 402 115 patients with the 15 most prevalent cancer types was approximately $156.2 billion for privately insured adults younger than 65 years in the US. There were a total of 38.4 million documented procedure codes for 15 cancers in the MarketScan database, totaling $10.8 billion. Patients with breast cancer contributed the greatest total number of services (10.9 million [28.4%]), followed by those with colorectal cancer (3.9 million [10.2%]) and prostate cancer (3.6 million [9.4%]). Pathology and laboratory tests contributed the highest number of services performed (11.7 million [30.5%]), followed by medical services (6.3 million [16.4%]) and medical supplies and nonphysician services (6.1 million [15.9%]). The costliest cancers were those of the breast ($3.4 billion [31.5%]), followed by lung ($1.1 billion [10.2%]) and colorectum ($1.1 billion [10.2%]). Medical supplies and nonphysician services contributed the highest total spent ($4.0 billion [37.0%]), followed by radiology ($2.1 billion [19.4%]) and surgery ($1.8 billion [16.7%]). Conclusions and Relevance: This analysis suggests that patients with breast, colorectal, and prostate cancers had the greatest number of services performed, particularly for pathology and laboratory tests, whereas patients with breast, lung, lymphoma, and colorectal cancer incurred the greatest costs, particularly for medical supplies and nonphysician services. The cost of cancer care in 2018 for the 15 most prevalent cancer types was estimated to be approximately $156.2 billion for privately insured adults younger than 65 years in the US.

Out-of-Pocket Costs of Insulin and Diabetes-Related Supplies Among Patients With Type 1 Diabetes.

The cost of insulin has increased exponentially since its discovery in the 1920s, but the degree to which this financial burden has been transferred to patients is unknown. The present study is a retrospective analysis using claims data for privately insured patients with type 1 diabetes from 2005 to 2017. We quantify the mean annual out-of-pocket costs for insulin and diabetes-related supplies during the study period. It is imperative for health care professionals to be aware of this cost, and we hope that these findings serve as a call for legislation to cap the rising price of insulin.

Trends in Costs of Birth Hospitalization and Readmissions for Late Preterm Infants.

Background: The objective is to study previously unexplored trends of birth hospitalization and readmission costs for late preterm infants (LPIs) in the United States between 2005 and 2016. Methods: We conducted a retrospective analysis of claims data to study healthcare costs of birth hospitalization and readmissions for LPIs compared to term infants (TIs) using a large private insurance database. We used a generalized linear regression model to study birth hospitalization and readmission costs. Results: A total of 2,123,143 infants were examined (93.2% TIs; 6.8% LPIs). The proportion of LPIs requiring readmission was 4.2% compared to 2.1% of TIs, (p < 0.001). The readmission rate for TIs decreased during the study period. LPIs had a higher mean cost of birth hospitalization (25,700 vs. 3300 USD; p < 0.001) and readmissions (25,800 vs. 14,300 USD; p < 0.001). For LPIs, birth hospitalization costs increased from 2007 to 2013, and decreased since 2014. Conversely, birth hospitalization costs of TIs steadily increased since 2005. The West region showed higher birth hospitalization costs for LPIs. Conclusions: LPIs continue to have a higher cost of birth hospitalization and readmission compared to TIs, but these costs have decreased since 2014. Standardization of birth hospitalization care for LPIs may reduce costs and improve quality of care and outcomes.

One-Year Medicare Costs Associated With Delirium in Older Patients Undergoing Major Elective Surgery.

Importance: Delirium is a common, serious, and potentially preventable problem for older adults, associated with adverse outcomes. Coupled with its preventable nature, these adverse sequelae make delirium a significant public health concern; understanding its economic costs is important for policy makers and health care leaders to prioritize care. Objective: To evaluate current 1-year health care costs attributable to postoperative delirium in older patients undergoing elective surgery. Design, Setting, and Participants: This prospective cohort study included 497 patients from the Successful Aging after Elective Surgery (SAGES) study, an ongoing cohort study of older adults undergoing major elective surgery. Patients were enrolled from June 18, 2010, to August 8, 2013. Eligible patients were 70 years or older, English-speaking, able to communicate verbally, and scheduled to undergo major surgery at 1 of 2 Harvard-affiliated hospitals with an anticipated length of stay of at least 3 days. Eligible surgical procedures included total hip or knee replacement; lumbar, cervical, or sacral laminectomy; lower extremity arterial bypass surgery; open abdominal aortic aneurysm repair; and open or laparoscopic colectomy. Data were analyzed from October 15, 2019, to September 15, 2020. Exposures: Major elective surgery and hospitalization. Main Outcomes and Measures: Cumulative and period-specific costs (index hospitalization, 30-day, 90-day, and 1-year follow-up) were examined using Medicare claims and extensive clinical data. Total inflation-adjusted health care costs were determined using data from Medicare administrative claims files for the 2010 to 2014 period. Delirium was rated using the Confusion Assessment Method. We also examined whether increasing delirium severity was associated with higher cumulative and period-specific costs. Delirium severity was measured with the Confusion Assessment Method-Severity long form. Regression models were used to determine costs associated with delirium after adjusting for patient demographic and clinical characteristics. Results: Of the 566 patients who were eligible for the study, a total of 497 patients (mean [SD] age, 76.8 [5.1] years; 281 women [57%]; 461 White participants [93%]) were enrolled after exclusion criteria were applied. During the index hospitalization, 122 patients (25%) developed postoperative delirium, whereas 375 (75%) did not. Patients with delirium had significantly higher unadjusted health care costs than patients without delirium (mean [SD] cost, $146 358 [$140 469] vs $94 609 [$80 648]). After adjusting for relevant confounders, the cumulative health care costs attributable to delirium were $44 291 (95% CI, $34 554-$56 673) per patient per year, with the majority of costs coming from the first 90 days: index hospitalization ($20 327), subsequent rehospitalizations ($27 797), and postacute rehabilitation stays ($2803). Health care costs increased directly and significantly with level of delirium severity (none-mild, $83 534; moderate, $99 756; severe, $140 008), suggesting an exposure-response relationship. The adjusted mean cumulative costs attributable to severe delirium were $56 474 (95% CI, $40 927-$77 440) per patient per year. Extrapolating nationally, the health care costs attributable to postoperative delirium were estimated at $32.9 billion (95% CI, $25.7 billion-$42.2 billion) per year. Conclusions and Relevance: These findings suggest that the economic outcomes of delirium and severe delirium after elective surgery are substantial, rivaling costs associated with cardiovascular disease and diabetes. These results highlight the need for policy imperatives to address delirium as a large-scale public health issue.