340B Contract pharmacy growth by pharmacy ownership: 2009-2022.

The 340B program grants eligible health care providers ("covered entities") access to discounted prices for outpatient prescription drugs. Covered entities frequently rely on retail pharmacies ("contract pharmacies") to dispense discounted drugs. This analysis describes contract pharmacy participation by ownership: the top 4 chains, grocery chains, small chains, and institutional independent pharmacies. We found that 71% of pharmacies in the top 4 chains were contract pharmacies. Forty one percentage of institutional pharmacies, 38% of grocery store pharmacies, and 22% of independent pharmacies participated in 340B in 2022. The median number of contracts per pharmacy was 2 among the top 4 chains and grocery store pharmacies vs 1 for all other pharmacy types. The median farthest distance in miles from contracting covered entities was largest for the top 4 chains (19 miles) and small chains (18 miles) and smallest for independent and institutional pharmacies (10 miles). The top 4 chains held the highest proportion of contracts with core safety-net providers (75% vs 61% of institutional pharmacies).

Characteristics of 340B Hospitals Receiving Medicare Part B Repayments.

This cross-sectional study compared the characteristics of 340B hospitals that did not receive a lump sum payment with hospitals in the program that did receive payment.

Playing by the Rules? Tracking U.S. Hospitals' Responses to Federal Price Transparency Regulation.

GOAL: As of January 1, 2021, the Centers for Medicare & Medicaid Services requires most U.S. hospitals to publish pricing information on their website to help consumers make decisions regarding services and to transform negotiations with health insurers. For this study, we evaluated changes in hospitals' compliance with the federal price transparency rule after the first year of enactment, during which the Centers for Medicare & Medicaid Services increased the penalty for noncompliance. METHODS: Using a nationally representative random sample of 470 hospitals, we assessed compliance with both parts of the hospital transparency rule (publishing a machine-readable price database and a consumer shopping tool) in the first quarter of 2022 and compared its baseline level in the first quarter of 2021. Using data from the American Hospital Association and Clarivate, we next assessed how compliance varied by hospital factors (ownership, number of beds, system membership, teaching status, type of electronic health record system), market factors (hospital and insurer market concentration), and the estimated change in penalty for noncompliance. PRINCIPAL FINDINGS: By early 2022, 46% of hospitals had posted both machine-readable and consumer-shoppable data, an increase of 24% from the prior year. Almost 9 in 10 hospitals had complied with the consumer-shoppable data requirement by early 2022. Larger hospitals and public hospitals had lower probabilities of baseline compliance with the machine-readable and consumer-shoppable requirements, respectively, although public hospitals were significantly more likely to become compliant with the consumer-shoppable requirement by 2022. Higher hospital market concentration was also associated with higher baseline compliance for both the machine-readable and consumer-shoppable requirements. Furthermore, our analyses found that hospitals with certain electronic health record systems were more likely to comply with the consumer-shoppable requirement in 2021 and became increasingly compliant with the machine-readable requirement in 2022. Finally, we found that hospitals with a larger estimated penalty were more likely to become compliant with the machine-readable requirement. PRACTICAL APPLICATIONS: Longitudinal analyses of compliance with the federal price transparency rule are valuable for monitoring changes in hospitals' behavior and assessing whether compliance changes vary systematically for specific types of hospitals and/or market structures. Our results suggest a trend toward increased hospital compliance between 2021 and 2022. Although hospitals perceive the consumer-shopping tools as being the most impactful, the value of this information depends on whether it is comprehensible and comparable across hospitals. The new price transparency rule has facilitated the creation of new data that have the potential to significantly alter the competitive landscape for hospitals and may require hospital leaders to consider how their organizational strategies change concerning their engagement with payers and patients. Finally, greater price transparency is likely to bolster national policy discussions related to price variation, affordability, and the role of regulation in healthcare markets.

Initial treatment of uninsured patients with ST-elevation myocardial infarction by facility percutaneous coronary intervention capabilities.

BACKGROUND: Timely reperfusion is necessary to reduce morbidity and mortality in patients with ST-elevation myocardial infarction (STEMI). Initial care by facilities with percutaneous coronary intervention (PCI) capabilities reduces time to reperfusion. We sought to examine whether insurance status was associated with initial care at emergency departments (EDs) with PCI capabilities among adult patients with STEMI. METHODS: We conducted a retrospective cross-sectional study using Department of Healthcare Access and Information, a nonpublic statewide database reporting ED visits and hospitalizations in California. We included adults initially arriving at EDs with STEMI by diagnostic code (International Classification of Diseases Ninth Revision or 10th Revision) from 2011 to 2019. Multivariable logistic regression modeling included initial care by PCI capable facility as the primary outcome and insurance status (none vs. any) as the primary exposure. Covariates included patient, facility, and temporal factors and we conducted multiple robustness checks. RESULTS: We analyzed 135,358 eligible visits with STEMI included. In our multivariable model, the odds of uninsured patients being initially treated at a PCI-capable facility were significantly lower than those of insured patients (adjusted odds ratio 0.62, 95% CI 0.54-0.72, p < 0.001) and was unchanged in sensitivity analyses. CONCLUSIONS: Uninsured patients with STEMI had significantly lower odds of first receiving care at facilities with PCI capabilities. Our results suggest potential disparities in accessing high-quality and time-sensitive treatment for uninsured patients with STEMI.

Trends in 340B Drug Pricing Program Contract Growth Among Retail Pharmacies From 2009 to 2022.

This cross-sectional study assesses the increases and decreases over time in the number of pharmacy contracts, distance from contracting pharmacies, and proportion of pharmacy contracts with safety-net practices in the US.

Association Between New 340B Program Participation and Commercial Insurance Spending on Outpatient Biologic Oncology Drugs.

Importance: Previous studies have found that hospitals participating in the 340B Drug Pricing Program have higher Medicare Part B spending and expansion into affluent neighborhoods. Less is known about the association of 340B participation with spending by commercial insurance, where reimbursements are higher than Medicare. Objective: To use the Affordable Care Act expansion of eligibility for the 340B Drug Pricing Program to study the association between participation and spending on outpatient-administered oncological drugs for commercially insured patients. Design, Setting, and Participants: This cohort study included a balanced panel hospital cohort containing new and never 340B program participants between 2007 and 2019; more recent data were not included to avoid the effect of disruptions in care due to the COVID-19 pandemic. Descriptive analyses documented spending trends for patients receiving common outpatient-administered biologics used in cancer treatments (bevacizumab, filgrastim, pegfilgrastim, rituximab, and trastuzumab) at 340B (treated) and non-340B (control) hospitals. A difference-in-differences model assessed changes in episode drug spending. Analyses were conducted between December 2021 and June 2022. Exposure: New 340B program participation between 2010 and 2016. Main Outcome and Measures: Total drug episode spending, with control variables including total billed units, drug, calendar-year fixed effects, and hospital fixed effects. Results: Of 95 127 included episodes (56 917 [59.8%] episodes in female patients) across 478 hospitals, patients seen in 340B and non-340B hospitals were similar in sex and drug used, and 340B hospital patients were older than non-340B patients (median [IQR] age for all patients, 61 [51-71] years). New 340B participating hospitals were more likely to be small (<50 beds) and more likely to be in rural settings. In the difference-in-differences analysis, total episode drug spending increased by $4074.69 (95% CI, $1592.84-$6556.70; P = .001) in the year following start of 340B program participation relative to nonparticipants. Heterogeneous group time effects were seen, with earlier participants less likely to have increased episode spending. Conclusions and Relevance: In this cohort study, new 340B participation was associated with statistically significant higher oncological drug episode spending compared with nonparticipants after changes in 340B inclusion rules in 2010. These findings raise questions about unintended consequences of the 340B program on drug spending from the commercially insured population.

Interfacility Transfer of Uninsured vs Insured Patients With ST-Segment Elevation Myocardial Infarction in California.

Importance: Insurance status has been associated with whether patients with ST-segment elevation myocardial infarction (STEMI) presenting to emergency departments are transferred to other facilities, but whether the facility's percutaneous coronary intervention capabilities mediate this association is unknown. Objective: To examine whether uninsured patients with STEMI were more likely than patients with insurance to experience interfacility transfer. Design, Setting, and Participants: This observational cohort study compared patients with STEMI with and without insurance who presented to California emergency departments between January 1, 2010, and December 31, 2019, using the Patient Discharge Database and Emergency Department Discharge Database from the California Department of Health Care Access and Information. Statistical analyses were completed in April 2023. Exposures: Primary exposures were lack of insurance and facility percutaneous coronary intervention capabilities. Main Outcomes and Measures: The primary outcome was transfer status from the presenting emergency department of a percutaneous coronary intervention-capable hospital, defined as a facility performing 36 percutaneous coronary interventions per year. Multivariable logistic regression models with multiple robustness checks were performed to determine the association of insurance status with the odds of transfer. Results: This study included 135 358 patients with STEMI, of whom 32 841 patients (24.2%) were transferred (mean [SD] age, 64 [14] years; 10 100 women [30.8%]; 2542 Asian individuals [7.7%]; 2053 Black individuals [6.3%]; 8285 Hispanic individuals [25.2%]; 18 650 White individuals [56.8%]). After adjusting for time trends, patient factors, and transferring hospital characteristics (including percutaneous coronary intervention capabilities), patients who were uninsured had lower odds of experiencing interfacility transfer than those with insurance (adjusted odds ratio, 0.93; 95% CI, 0.88-0.98; P = .01). Conclusions and Relevance: After accounting for a facility's percutaneous coronary intervention capabilities, lack of insurance was associated with lower odds of emergency department transfer for patients with STEMI. These findings warrant further investigation to understand the characteristics of facilities and outcomes for uninsured patients with STEMI.

Proposing An Innovative Bond To Increase Investments In Social Drivers Of Health Interventions In Medicaid Managed Care.

Interventions to address social drivers of health (SDH), such as food insecurity, transportation, and housing, can reduce future health care costs but require up-front investment. Although Medicaid managed care organizations have incentives to reduce costs, volatile enrollment patterns and coverage changes may prevent them from realizing the full benefits of their SDH investments. This phenomenon results in the "wrong-pocket problem," in which managed care organizations underinvest in SDH interventions because they cannot capture the full benefit. We propose a financial innovation, an SDH bond, to increase investments in SDH interventions. Issued by multiple managed care organizations in a Medicaid coverage region, the bond would raise immediate funds for SDH interventions that are coordinated across the organizations and delivered to all enrollees of the region. As the benefits of SDH interventions accrue and cost savings are realized, the amount managed care organizations must pay back to bond holders adjusts according to enrollment, addressing the wrong-pocket problem.

Physician patient sharing relationships within insurance plan networks.

OBJECTIVE: To quantify shared patient relationships between primary care physicians (PCPs) and cardiologists and oncologists and the degree to which those relationships were captured within insurance networks. DATA SOURCES: Secondary analysis of Vericred data on physician networks, CareSet data on physicians' shared Medicare patients, and insurance plan attributes from Health Insurance Compare. Data validation exercises used data from Physician Compare and IQVIA. STUDY DESIGN: Cross-sectional study of the PCP-to-specialist in-network shared patient percentage (primary outcome). We also categorized networks by insurance market segment (Medicare Advantage [MA], Medicaid managed care, small-group or individually purchased), insurance plan type, and network breadth. DATA EXTRACTION: We analyzed data on 219,982 PCPs, 29,400 cardiologists, and 22,745 oncologists who, in 2021, accepted MA (n = 941 networks), Medicaid managed care (n = 293), and individually-purchased (n = 332) and small-group (n = 501) plans. PRINCIPAL FINDINGS: Networks captured, on average, 64.6% of PCP-cardiology shared patient ties, and 61.8% of PCP-oncologist ties. Less than half of in-network ties (44.5% and 38.9%, respectively) were among physicians with a common organizational affiliation. After adjustment for network breadth, we found no evidence of differences in the shared patient percentage across insurance market segments or networks of different types (p-value >0.05 for all comparisons). An exception was among national versus local and regional networks, where we found that national plans captured fewer shared patient ties, particularly among the narrowest networks (58.4% for national networksvs. 64.7% for local and regional networks for PCP-cardiology). CONCLUSIONS: Given recent trends toward narrower networks, our findings underscore the importance of incorporating additional and nuanced measures of network composition to aid plan selection (for patients) and to guide regulatory oversight.

Association of Race and Income with Incident Diagnosis of Alzheimer's Disease and Related Dementias among Black and White Older Adults.

To investigate how differences in income and education levels may contribute to disparities in incidence of Alzheimer's disease and related dementia (ADRD), we compared ADRD incidence in traditional Medicare claims for 11,132 Black and 7703 White participants aged 65 and over from a predominantly low-income cohort. We examined whether the relationship between ADRD incidence and race varied by income or education. Based on 2015 incident ADRD diagnoses, Black and White participants had unadjusted incidence rates of 26.5 and 23.2 cases per 1000 person-years, respectively (rate ratio 1.14, 95% CI 1.05-1.25). In multivariable Cox proportional hazard models, the relationship between race and incident ADRD diagnosis did not vary by education level (p-interaction = 0.748) but was modified by income level (p-interaction = 0.007), with higher ADRD incidence among Black participants observed only among higher income groups. These results highlight the importance of understanding how race and economic factors influence ADRD incidence and diagnosis rates.

Characteristics of short-term acute care hospitals that experienced a ransomware attack from 2016 to 2021.

As cybercrime increasingly targets the health care sector, hospitals face the growing threat of ransomware attacks. Ransomware is a type of malicious software that prevents users from accessing their electronic systems-demanding payment to restore access. In response, momentum is gathering to enact policy that will help hospitals strengthen their cybersecurity defenses. However, to design effective policy, it is crucial to understand the characteristics of hospitals associated with the risk of ransomware attack. In this paper, we compare the characteristics of ransomware-attacked and non-attacked short-term acute care hospitals in the United States. Using data from the American Hospital Association's Annual Survey and the Healthcare Cost Report Information System, we found that ransomware-attacked hospitals were larger, had higher net operating revenue, were more likely to be financially profitable, and more likely to provide trauma, emergency, and obstetric care than non-attacked hospitals. Measures of information technology sophistication did not vary between ransomware-attacked and non-attacked hospitals. These results can be used to tailor policy interventions in order to most effectively respond to and prevent cybercrime in health care.

Ten health policy challenges for the next 10 years.

Health policies and associated research initiatives are constantly evolving and changing. In recent years, there has been a dizzying increase in research on emerging topics such as the implications of changing public and private health payment models, the global impact of pandemics, novel initiatives to tackle the persistence of health inequities, broad efforts to reduce the impact of climate change, the emergence of novel technologies such as whole-genome sequencing and artificial intelligence, and the increase in consumer-directed care. This evolution demands future-thinking research to meet the needs of policymakers in translating science into policy. In this paper, the Health Affairs Scholar editorial team describes "ten health policy challenges for the next 10 years." Each of the ten assertions describes the challenges and steps that can be taken to address those challenges. We focus on issues that are traditionally studied by health services researchers such as cost, access, and quality, but then examine emerging and intersectional topics: equity, income, and justice; technology, pharmaceuticals, markets, and innovation; population health; and global health.

Growing administrative complexity in the 340B program and the rise of third-party administrators.

The 1992 340B drug discount program lowers drug costs and provides a source of revenue for safety-net providers by entitling them to discounts on drugs for all patients, including those with insurance. As 340B has grown so has the administrative complexity of the program, creating a market for third-party administrators (TPAs) to manage both formal and informal requirements in exchange for fees. Although TPAs are playing an important role in the 340B ecosystem, the TPA market is poorly understood, along several dimensions including its size, specialization, competitiveness, and scope of services offered. In this brief report, we report the results of original market research on TPA firms to address unanswered questions and identify gaps in knowledge. We identify 48 TPA firms, including 8 owned by private equity firms, 2 owned by software companies, and 6 owned by a variety of vertically integrated health care stakeholders such as pharmacies, pharmaceutical benefit managers, and pharmaceutical wholesalers. We identified 7 services offered by TPAs including patient discount cards (13), enrollment (31), auditing (45), revenue capture (42), referral management (9), inventory management (19), and 340B ESP assistance (9). Our results suggest that TPAs are involved in many diverse functions related to 340B.

Trends in Ransomware Attacks on US Hospitals, Clinics, and Other Health Care Delivery Organizations, 2016-2021.

Importance: Anecdotal evidence suggests that health care delivery organizations face a growing threat from ransomware attacks that are designed to disrupt care delivery and may consequently threaten patient outcomes. Objective: To quantify the frequency and characteristics of ransomware attacks on health care delivery organizations. Design, Setting, and Participants: This cohort study used data from the Tracking Healthcare Ransomware Events and Traits database to examine the number and characteristics of ransomware attacks on health care delivery organizations from 2016 to 2021. Logistic and negative binomial regression quantified changes over time in the characteristics of ransomware attacks that affected health care delivery organizations. Main Outcomes and Measures: Date of ransomware attack, public reporting of ransomware attacks, personal health information (PHI) exposure, status of encrypted/stolen data following the attack, type of health care delivery organization affected, and operational disruption during the ransomware attack. Results: From January 2016 to December 2021, 374 ransomware attacks on US health care delivery organizations exposed the PHI of nearly 42 million patients. From 2016 to 2021, the annual number of ransomware attacks more than doubled from 43 to 91. Almost half (166 [44.4%]) of ransomware attacks disrupted the delivery of health care, with common disruptions including electronic system downtime (156 [41.7%]), cancellations of scheduled care (38 [10.2%]), and ambulance diversion (16 [4.3%]). From 2016 to 2021, ransomware attacks on health care delivery organizations increasingly affected large organizations with multiple facilities (annual marginal effect [ME], 0.08; 95% CI, 0.05-0.10; P < .001), exposed the PHI of more patients (ME, 66 385.8; 95% CI, 3400.5-129 371.2; P = .04), were less likely to be restored from data backups (ME, -0.04; 95% CI, -0.06 to -0.01; P = .002), were more likely to exceed mandatory reporting timelines (ME, 0.06; 95% CI, 0.03-0.08; P < .001), and increasingly were associated with delays or cancellations of scheduled care (ME, 0.02; 95% CI, 0-0.05; P = .02). Conclusions and Relevance: This cohort study of ransomware attacks documented growth in their frequency and sophistication. Ransomware attacks disrupt care delivery and jeopardize information integrity. Current monitoring/reporting efforts provide limited information and could be expanded to potentially yield a more complete view of how this growing form of cybercrime affects the delivery of health care.

Burn related injuries: a nationwide analysis of adult inter-facility transfers over a six-year period in the United States.

BACKGROUND: US emergency department (ED) visits for burns and factors associated with inter-facility transfer are unknown and described in this manuscript. METHODS: We conducted a retrospective analysis of burn-related injuries from 2009-2014 using the Nationwide Emergency Department Sample (NEDS), the largest sample of all-payer datasets. We included all ED visits by adults with a burn related ICD-9 code and used a weighted multivariable logistic regression model to predict transfer adjusting for covariates. RESULTS: Between 2009-2014, 3,047,701 (0.4%) ED visits were for burn related injuries. A total of 108,583 (3.6%) burn visits resulted in inter-facility transfers occurred during the study period, representing approximately 18,097 inter-facility transfers per year. Burns with greater than 10% total body surface area (TBSA) resulted in a 10-fold increase in the probability of transfer, compared to burn visits with less than 10% TBSA burns. In the multivariable model, male sex (adjusted odds ratio [aOR] 2.4, 95% CI 2.3-2.6) was associated with increased odds of transfer. Older adults were more likely to be transferred compared to all other age groups. Odds of transfer were increased for Medicare and self-pay patients (vs. private pay) but there was a significant interaction of sex and payer and the effect of insurance varied by sex. CONCLUSIONS: In a national sample of ED visits, burn visits were more than twice as likely to have an inter-facility transfer compared to the general ED patient population. Substantial sex differences exist in U.S. EDs that impact the location of care for patients with burn injuries and warrants further investigation.

Association of 340B contract pharmacy growth with county-level characteristics.

OBJECTIVES: To estimate the association of 340B contract pharmacy growth between 2009 and 2019 with county-level characteristics, including availability of health care providers, health care spending, population, and socioeconomic characteristics. STUDY DESIGN: Observational study. METHODS: We constructed county-level maps of 340B contract pharmacy penetration for the years 2009 and 2019 by 340B participant type (hospital or safety-net clinic). We then used a multivariable linear probability regression model to estimate the association of county-level characteristics in 2009 with the probability of gaining at least one 340B contract pharmacy within the county by 2019. We estimated separate regressions for safety-net clinics and hospitals. RESULTS: We find that growth of contracts with 340B hospitals was uncorrelated with uninsured rates, poverty rates, or areas of medical underservice. By contrast, we find that growth of contracts with 340B safety-net clinics was positively correlated with poverty rates and metropolitan statistical status. These findings suggest different patterns of access for patients. CONCLUSIONS: Our results add systematic evidence of a difference in how the 2 main types of 340B participants-hospitals and safety-net clinics-use the 340B program. Policy proposals to reform 340B should consider reforms for safety-net clinics and hospitals separately.

The Association of Health Care System Resources With Lung Cancer Screening Implementation: A Cohort Study.

BACKGROUND: The Veterans Health Administration issued policy for lung cancer screening resources at eight Veterans Affairs Medical Centers (VAMCs) in a demonstration project (DP) from 2013 through 2015. RESEARCH QUESTION: Do policies that provide resources increase lung cancer screening rates? STUDY DESIGN AND METHODS: Data from eight DP VAMCs (DP group) and 20 comparable VAMCs (comparison group) were divided into before DP (January 2011-June 2013), DP (July 2013-June 2015), and after DP (July 2015-December 2018) periods. Coprimary outcomes were unique veterans screened per 1,000 eligible per month and those with 1-year (9-15 months) follow-up screening. Eligible veterans were estimated using yearly counts and the percentage of those with eligible smoking histories. Controlled interrupted time series and difference-in-differences analyses were performed. RESULTS: Of 27,746 veterans screened, the median age was 66.5 years and most were White (77.7%), male (95.6%), and urban dwelling (67.3%). During the DP, the average rate of unique veterans screened at DP VAMCs was 17.7 per 1,000 eligible per month, compared with 0.3 at comparison VAMCs. Adjusted analyses found a higher rate increase at DP VAMCs by 0.93 screening per 1,000 eligible per month (95% CI, 0.25-1.61) during this time, with an average facility-level difference of 17.4 screenings per 1,000 eligible per month (95% CI, 12.6-22.3). Veterans with 1-year follow-up screening also increased more rapidly at DP VAMCs during the DP, by 0.39 screening per 1,000 eligible per month (95% CI, 0.18-0.60), for an average facility-level difference of 7.2 more screenings per 1,000 eligible per month (95% CI, 5.2-9.2). Gains were not maintained after the DP. INTERPRETATION: In this cohort, provision of resources for lung cancer screening implementation was associated with an increase in veterans screened and those with 1-year follow-up screening. Screening gains associated with the DP were not maintained.

Association between physician practice Medicaid acceptance and employing nurse practitioners and physician assistants: A longitudinal analysis.

BACKGROUND: Access to care is often a challenge for Medicaid beneficiaries due to low practice participation. As demand increases, practices will likely look for ways to see Medicaid patients while keeping costs low. Employing nurse practitioners (NPs) and physician assistants (PAs) is one low-cost and effective means to achieve this. However, there are no longitudinal studies examining the relationship between practice Medicaid acceptance and NP/PA employment. PURPOSE: The purpose of this study was to examine the association of practice Medicaid acceptance with NP/PA employment over time. METHODS: Using SK&A data (2009-2015), we constructed a panel of 102,453 unique physician practices to assess for changes in Medicaid acceptance after newly employing NPs and PAs. We employed practice-level fixed effects linear regressions. RESULTS: Our results showed that, among practices employing both NPs and PAs, there was a roughly 2% increase in the likelihood of Medicaid participation over time. When stratifying our sample by practice size and specialty, the positive correlation localized to small primary care and medical practices. When both NPs and PAs were present, small primary care practices had a 3.3% increase and small medical practices had a 6.9% increase in the likelihood of accepting Medicaid. CONCLUSION: NP and PA employment was positively associated with increases in Medicaid participation. PRACTICE IMPLICATIONS: As more individuals gain coverage under Medicaid, organizations will need to decide how to adapt to greater patient demand. Our results suggest that hiring NPs and PAs may be a potential lower cost strategy to accommodate new Medicaid patients.