Understanding racial/ethnic disparities in COVID-19 mortality using a novel metric: COVID excess mortality percentage.

Prior research on racial/ethnic disparities in COVID-19 mortality has often not considered to what extent they reflect COVID-19-specific factors, versus preexisting health differences. This study examines how racial/ethnic disparities in COVID-19 mortality vary with age, sex, and time period over April-December 2020 in the United States, using mortality from other natural causes as a proxy for underlying health. We study a novel measure, the COVID excess mortality percentage (CEMP), defined as the COVID-19 mortality rate divided by the non-COVID natural mortality rate, converted to a percentage, where the CEMP denominator controls (albeit imperfectly) for differences in population health. Disparities measured using CEMP deviate substantially from those in prior research. In particular, we find very high disparities (up to 12:1) in CEMP rates for Hispanics versus Whites, particularly for nonelderly men. Asians also have elevated CEMP rates versus Whites, which were obscured in prior work by lower overall Asian mortality. Native Americans and Blacks have significant disparities compared with White populations, but CEMP ratios to Whites are lower than ratios reported in other work. This is because the higher COVID-19 mortality for Blacks and Native Americans comes partly from higher general mortality risk and partly from COVID-specific risk.

Payment Innovation in Emergency Care: A Case for Global Clinician Budgets.

The fee-for-service funding model for US emergency department (ED) clinician groups is increasingly fragile. Traditional fee-for-service payment systems offer no financial incentives to improve quality, address population health, or make value-based clinical decisions. Fee-for-service also does not support maintaining ED capacity to handle peak demand periods. In fee-for-service, clinicians rely heavily on cross-subsidization, where high reimbursement from commercial payors offsets low reimbursement from government payors and the uninsured. Although fee-for-service survived decades of steady cuts in government reimbursement rates, it is increasingly strained because of visit volatility and the effects of the No Surprises Act, which is driving down commercial reimbursement. Financial pressures on ED clinician groups and higher hospital boarding and clinical workloads are increasing workforce attrition. Here, we propose an alternative model to address some of these fundamental issues: an all-payer-funded, voluntary global budget for ED clinician services. If designed and implemented effectively, the model could support robust clinician staffing over the long term, ensure stability in clinical workload, and potentially improve equity in payments. The model could also be combined with population health programs (eg, pre-ED and post-ED telehealth, frequent ED use programs, and other innovations), offering significant payer returns and addressing quality and value. A linked program could also change hospital incentives that contribute to boarding. Strategies exist to test and refine ED clinician global budgets through existing government programs in Maryland and potentially through state-level legislation as a precursor to broader adoption.

Emergency Department Volume, Severity, and Crowding Since the Onset of the Coronavirus Disease 2019 Pandemic.

STUDY OBJECTIVE: We describe emergency department (ED) visit volume, illness severity, and crowding metrics from the onset of the coronavirus disease 2019 (COVID-19) pandemic through mid-2022. METHODS: We tabulated monthly data from 14 million ED visits on ED volumes and measures of illness severity and crowding from March 2020 through August 2022 compared with the same months in 2019 in 111 EDs staffed by a national ED practice group in 18 states. RESULTS: Average monthly ED volumes fell in the early pandemic, partially recovered in 2022, but remained below 2019 levels (915 per ED in 2019 to 826.6 in 2022 for admitted patients; 3,026.9 to 2,478.5 for discharged patients). The proportion of visits assessed as critical care increased from 7.9% in 2019 to 11.0% in 2022, whereas the number of visits decreased (318,802 to 264,350). Visits billed as 99285 (the highest-acuity Evaluation and Management code for noncritical care visits) increased from 35.4% of visits in 2019 to 40.0% in 2022, whereas the number of visits decreased (1,434,454 to 952,422). Median and median of 90th percentile length of stay for admitted patients rose 32% (5.2 to 6.9 hours) and 47% (11.7 to 17.4 hours) in 2022 versus 2019. Patients leaving without treatment rose 86% (2.9% to 5.4%). For admitted psychiatric patients, the 90th percentile length of stay increased from 20 hours to more than 1 day. CONCLUSION: ED visit volumes fell early in the pandemic and have only partly recovered. Despite lower volumes, ED crowding has increased. This issue is magnified in psychiatric patients.

The Cost Shifting Economics of United States Emergency Department Professional Services (2016-2019).

STUDY OBJECTIVE: We estimate the economics of US emergency department (ED) professional services, which is increasingly under strain given the longstanding effect of unreimbursed care, and falling Medicare and commercial payments. METHODS: We used data from the Nationwide Emergency Department Sample (NEDS), Medicare, Medicaid, Health Care Cost Institute, and surveys to estimate national ED clinician revenue and costs from 2016 to 2019. We compare annual revenue and cost for each payor and calculate foregone revenue, the amount clinicians may have collected had uninsured patients had either Medicaid or commercial insurance. RESULTS: In 576.5 million ED visits (2016 to 2019), 12% were uninsured, 24% were Medicare-insured, 32% Medicaid-insured, 28% were commercially insured, and 4% had another insurance source. Annual ED clinician revenue averaged $23.5 billion versus costs of $22.5 billion. In 2019, ED visits covered by commercial insurance generated $14.3 billion in revenues and cost $6.5 billion. Medicare visits generated $5.3 billion and cost $5.7 billion; Medicaid visits generated $3.3 billion and cost $7 billion. Uninsured ED visits generated $0.5 billion and cost $2.9 billion. The average annual foregone revenue for ED clinicians to treat the uninsured was $2.7 billion. CONCLUSION: Large cost-shifting from commercial insurance cross-subsidizes ED professional services for other patients. This includes the Medicaid-insured, Medicare-insured, and uninsured, all of whom incur ED professional service costs that substantially exceed their revenue. Foregone revenue for treating the uninsured relative to what may have been collected if patients had health insurance is substantial.

Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness.

To make informed COVID-19 related decisions, individuals need information about their personal risks and how those risks may vary with specific demographic and health characteristics. The Fight COVID Milwaukee web-based risk assessment tool allows for assessment of COVID-19 mortality risk as a function of personal and neighborhood characteristics. The purpose of this study is to explore public understanding of this risk assessment tool and risk perception through community focus groups. Individuals were recruited from the general adult population in Milwaukee County, Wisconsin, USA, to participate in nine online focus groups where the risk assessment tool was presented for feedback. Three main themes were identified in the focus groups regarding the web-based risk assessment tool: some challenges in accessibility, variable ease of understanding, and personal usefulness but uncertain value for others. This paper explores how members of the community interpret individual risk assessments and life expectancy estimations, and how these vary with age, gender, race/ethnicity, socioeconomic status, and pre-existing comorbidities.

Evaluating Natural Experiments that Impact the Diabetes Epidemic: an Introduction to the NEXT-D3 Network.

PURPOSE OF REVIEW: Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing. RECENT FINDINGS: The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications.

Divergent Trends in Emergency Department Presentations Amid the Novel Coronavirus Disease 2019 Pandemic in Chicago, Illinois.

Excess deaths during the coronavirus disease 2019 (COVID-19) pandemic have been largely attributed to cardiovascular disease (CVD); however, patterns in CVD hospitalizations after the first surge of the pandemic have not well-documented. Our brief report, examining trends in health care avoidance documents that CVD hospitalizations decreased in Chicago before significant burden of COVID-19 cases or deaths and normalized during the first COVID-19 surge. These data may help to inform health care systems responses in the coming months while mobilizing vaccinations to the population at large.

The Three-Year Effect of Medicaid Expansion on Emergency Department Visits and Admissions.

STUDY OBJECTIVE: We examine the effect of the Medicaid expansion in 2014 under in the Patient Protection and Affordable Care Act on emergency department (ED) utilization and ED admission rates (fraction of ED visits that lead to hospital admission) during the first 3 postexpansion years (2014 to 2016). METHODS: We compared ED utilization and ED admission rates in 151 EDs in 14 expansion states with those in 376 EDs in 14 nonexpansion states, using difference-in-differences methods with data from 3 national emergency medicine groups from 2013 to 2016. RESULTS: In expansion states, the volume of Medicaid-paid ED visits increased 49% (95% confidence interval 34% to 65%), and the volume of uninsured visits decreased 44% (95% confidence interval -52% to -34%) relative to that of nonexpansion states. Both effects on payer mix leveled off during 2015. There was no significant relative change in overall ED utilization or overall ED admission rates in expansion versus nonexpansion states during the study. However, relative ED admission rates for uninsured patients declined 8% (95% confidence interval -18% to -2%) in expansion states. CONCLUSION: Large changes in payer mix in expansion versus nonexpansion states were observed but leveled off during 2015, with more Medicaid-paid visits and fewer uninsured visits in expansion states. Despite these large changes, during this 3-year period, there was no evidence that expansion affected either overall ED visit volume or ED admission rates. The relative decline in ED admission rates in expansion states among the uninsured may reflect a selection effect in which, among newly Medicaid-eligible persons, sicker persons were more likely to enroll than healthier ones.

The Effect of the COVID-19 Pandemic on the Economics of United States Emergency Care.

STUDY OBJECTIVE: We describe how the coronavirus disease 2019 (COVID-19) pandemic affected the economics of emergency department care (ED). METHODS: We conducted an observational study of 136 EDs from January 2019 to September 2020, using 2020-to-2019 3-week moving ratios for ED visits, complexity, revenue, and staffing expenses. We tabulated 2020-to-2019 staffing ratios and calculated hour and full-time-equivalent changes. RESULTS: Following the COVID-19 pandemic's onset, geriatric (age ≥65), adult (age 18 to 64), and pediatric (age <18) ED visits declined by 43%, 40%, and 73%, respectively, compared to 2019 visits and rose thereafter but remained below 2019 levels through September. Relative value units per visit rose by 8%, 9%, and 18%, respectively, compared to 2019, while ED admission rates rose by 32%. Both fell subsequently but remained above 2019 levels through September. Revenues dropped sharply early in the pandemic and rose gradually but remained below 2019 levels. In medium and large EDs, staffing and expenses were lowered with a lag, largely compensating for lower revenue at these sites, and barely at freestanding EDs. Staffing and expense reductions could not match revenue losses in smaller EDs. During the pandemic, emergency physician and advanced practice provider clinical hours and compensation fell 15% and 27%, respectively, corresponding to 174 lost physician and 193 lost advanced practice provider full-time-equivalent positions. CONCLUSION: The COVID-19 pandemic adversely impacted the economics of ED care, with large drops in overall and, in particular, low-acuity ED visits, necessitating reductions in clinical hours. Staffing cutbacks could not match reduced revenue at small EDs with minimum emergency physician coverage requirements.

Characterizing pediatric emergency department visits during the COVID-19 pandemic.

OBJECTIVE: We determine how pediatric emergency department (ED) visits changed during the COVID-19 pandemic in a large sample of U.S. EDs. METHODS: Using retrospective data from January-June 2020, compared to a similar 2019 period, we calculated weekly 2020-2019 ratios of Non-COVID-19 ED visits for adults and children (age 18 years or less) by age range. Outcomes were pediatric ED visit rates before and after the onset of pandemic, by age, disposition, and diagnosis. RESULTS: We included data from 2,213,828 visits to 144 EDs and 4 urgent care centers in 18 U.S. states, including 7 EDs in children's hospitals. During the pandemic period, adult non-COVID-19 visits declined to 60% of 2019 volumes and then partially recovered but remained below 2019 levels through June 2020. Pediatric visits declined even more sharply, with peak declines through the week of April 15 of 74% for children age < 10 years and 67% for 14-17 year. Visits recovered by June to 72% for children age 14-17, but to only 50% of 2019 levels for children < age 10 years. Declines were seen across all ED types and locations, and across all diagnoses, with an especially sharp decline in non-COVID-19 communicable diseases. During the pandemic period, there was 22% decline in common serious pediatric conditions, including appendicitis. CONCLUSION: Pediatric ED visits fell more sharply than adult ED visits during the COVID-19 pandemic, and remained depressed through June 2020, especially for younger children. Declines were also seen for serious conditions, suggesting that parents may have avoided necessary care for their children.

The effect of the COVID-19 pandemic on emergency department visits for serious cardiovascular conditions.

OBJECTIVE: We examine how emergency department (ED) visits for serious cardiovascular conditions evolved in the coronavirus (COVID-19) pandemic over January-October 2020, compared to 2019, in a large sample of U.S. EDs. METHODS: We compared 2020 ED visits before and during the COVID-19 pandemic, relative to 2019 visits in 108 EDs in 18 states in 115,716 adult ED visits with diagnoses for five serious cardiovascular conditions: ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI), ischemic stroke (IS), hemorrhagic stroke (HS), and heart failure (HF). We calculated weekly ratios of ED visits in 2020 to visits in 2019 in the pre-pandemic (Jan 1-March 10), early-pandemic (March 11-April 21), and later-pandemic (April 22-October 31) periods. RESULTS: ED visit ratios show that NSTEMI, IS, and HF visits dropped to lows of 56%, 64%, and 61% of 2019 levels, respectively, in the early-pandemic and gradually returned to 2019 levels over the next several months. HS visits also dropped early pandemic period to 60% of 2019 levels, but quickly rebounded. We find mixed evidence on whether STEMI visits fell, relative to pre-pandemic rates. Total adult ED visits nadired at 57% of 2019 volume during the early-pandemic period and have only party recovered since, to approximately 84% of 2019 by the end of October 2020. CONCLUSION: We confirm prior studies that ED visits for serious cardiovascular conditions declined early in the COVID-19 pandemic for NSTEMI, IS, HS, and HF, but not for STEMI. Delays or non-receipt in ED care may have led to worse outcomes.

The Effects of Global Budgeting on Emergency Department Admission Rates in Maryland.

STUDY OBJECTIVE: In 2014, Maryland launched a population-based payment model that replaced fee-for-service payments with global budgets for all hospital-based services. This global budget revenue program gives hospitals strong incentives to tightly control patient volume and meet budget targets. We examine the effects of the global budget revenue model on rates of admission to the hospital from emergency departments (EDs). METHODS: We used medical record and billing data to examine adult ED encounters from January 1, 2012, to December 31, 2015, in 25 hospital-based EDs, including 10 Maryland global budget revenue hospitals, 10 matched non-Maryland hospitals (primary control), and 5 Maryland Total Patient Revenue hospitals (secondary control). Total Patient Revenue hospitals adopted global budgeting in 2010 under a pilot Maryland program targeting rural hospitals. We conducted difference-in-differences analyses for overall ED admission rates, ED admission rates for ambulatory-care-sensitive conditions and non-ambulatory-care-sensitive conditions, and for clinical conditions that commonly lead to admission. RESULTS: In 3,175,210 ED encounters, the ED admission rate for Maryland global budget revenue hospitals decreased by 0.6% (95% confidence interval -0.8% to -0.4%) compared with that for non-Maryland controls after global budget revenue implementation, a 3.0% relative decline, and decreased by 1.9% (95% confidence interval -2.2% to -1.7%) compared with that for Total Patient Revenue hospitals, a 9.5% relative decline. Relative declines in ED admission rates were similar for ambulatory-care-sensitive-condition and non-ambulatory-care-sensitive-condition encounters. Admission rate declines varied across clinical conditions. CONCLUSION: Implementation of the global budget revenue model led to statistically significant although modest declines in ED admission rates within its first 2 years, with declines in ED admissions most pronounced among certain clinical conditions.

Emergency Physician Practice Changes After Being Named in a Malpractice Claim.

STUDY OBJECTIVE: Malpractice fear is a commonly cited cause for defensive medicine, but it is unclear whether being named in a malpractice claim changes physician practice patterns. We study whether there are changes in commonly used measures of emergency physician practice after being named in a malpractice claim. METHODS: We performed a retrospective difference-in-differences study comparing practice patterns of emergency physicians named in a malpractice claim and unnamed matched controls working contemporaneously in the same emergency departments (EDs), using data from a national emergency medicine management group (59 EDs in 11 US states from 2010 to 2015). We studied aggregate measures of care intensity (hospital admission rate and relative value units/visit), studied care speed (relative value units/hour and discharged patients' length of stay), and assessed patient experience (monthly physician Press Ganey percentile rank). RESULTS: A total of 65 emergency physicians named in at least 1 malpractice claim and 140 matched controls met inclusion criteria. After the malpractice claim filing date, there were no significant changes in measures of care intensity or speed. However, named emergency physicians' patient experience scores improved immediately after the malpractice claim filing date and showed sustained improvements by 6.52 Press Ganey percentile ranks (95% confidence interval 0.67 to 12.38), with the increase most prominent among those involved in the 46 failure-to-diagnose claims (10.52; 95% confidence interval 3.72 to 17.32). CONCLUSION: We observed a temporal improvement in patient satisfaction scores for emergency physicians in this sample after their being named in a malpractice claim relative to matched controls. Measures of care intensity and speed did not significantly change.

The effect of Affordable Care Act Medicaid expansion on hospital revenue.

Prior research has found that in states which expanded Medicaid under the Affordable Care Act, hospital Medicaid revenue rose sharply, and uncompensated care costs fell sharply, relative to hospitals in nonexpansion states. This suggests that Medicaid expansion may have been a boon for hospital revenue. We conduct a difference-in-differences analysis covering the first four expansion years (2014-2017) and confirm prior results for Medicaid revenue and uncompensated care cost, over this longer period. However, we find that hospitals in expansion states showed no significant relative gains in either total patient revenue or operating margins. Instead, the relative rise in Medicaid revenue was offset by relative declines in commercial insurance revenue. In subsample analyses, we find higher revenue and margins for rural hospitals in expansion states, little change for small urban hospitals, and a revenue decline for large urban hospitals.

Changes in Reimbursement to Emergency Physicians After Medicaid Expansion Under the Patient Protection and Affordable Care Act.

STUDY OBJECTIVE: We examine the effect of Medicaid expansion on reimbursement for emergency physicians' professional services. METHODS: We conducted a retrospective study using data from a national emergency medicine group in a sample of 50 emergency departments (EDs) from July 1, 2012, to June 30, 2015. We categorized facilities in 14 states into full-expansion (23), partial-expansion (17), and nonexpansion (10) categories based on pre-expansion Medicaid eligibility criteria for all adults. We used a difference-in-differences design to assess the effect of Medicaid expansion on provider reimbursement per visit. Secondary outcomes included reimbursement per relative value unit and relative value units per visit, both overall and by payer type, controlling for age, sex, billing codes, and health system relationship. RESULTS: We studied greater than 6.7 million ED visits during July 2012 to December 2015, 3.0 million pre-expansion and 3.7 million postexpansion. After adjusting for covariates, reimbursement per visit increased 6.3% (95% confidence interval 1.4% to 11.1%) in full-expansion relative to nonexpansion states and did not change significantly in partial-expansion versus nonexpansion states. Reimbursement per visit for commercial insurance increased 17.1% (95% confidence interval 9.9% to 24.2%) in full-expansion versus nonexpansion states. Reimbursement for self-pay visits increased 9.7% (95% confidence interval 3.7% to 15.7%) in full-expansion versus nonexpansion states. Changes in payments were driven by higher reimbursement per relative value unit; relative value units per visit declined slightly in full-expansion compared with nonexpansion states. CONCLUSION: In this sample, full Medicaid expansion increased payments for emergency physicians' professional services compared with reimbursement in nonexpansion states. Higher reimbursement was driven primarily by lower proportions of uninsured patients and increased reimbursement per visit for both commercially insured and self-pay patients in states with full Medicaid expansion.

Introductory Overview of the Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network: Examining the Impact of US Health Policies and Practices to Prevent Diabetes and Its Complications.

PURPOSE OF REVIEW: Diabetes incidence is rising among vulnerable population subgroups including minorities and individuals with limited education. Many diabetes-related programs and public policies are unevaluated while others are analyzed with research designs highly susceptible to bias which can result in flawed conclusions. The Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network includes eight research centers and three funding agencies using rigorous methods to evaluate natural experiments in health policy and program delivery. RECENT FINDINGS: NEXT-D2 research studies use quasi-experimental methods to assess three major areas as they relate to diabetes: health insurance expansion; healthcare financing and payment models; and innovations in care coordination. The studies will report on preventive processes, achievement of diabetes care goals, and incidence of complications. Some studies assess healthcare utilization while others focus on patient-reported outcomes. NEXT-D2 examines the effect of public and private policies on diabetes care and prevention at a critical time, given ongoing and rapid shifts in the US health policy landscape.

Association Between State Medical Malpractice Environment and Surgical Quality and Cost in the United States.

CONTEXT: The US medical malpractice system is designed to deter negligence and encourage quality of care through threat of liability. OBJECTIVE: To examine whether state-level malpractice environment is associated with outcomes and costs of colorectal surgery. DESIGN, SETTING, AND PATIENTS: Observational study of 116,977 Medicare fee-for-service beneficiaries who underwent colorectal surgery using administrative claims data. State-level malpractice risk was measured using mean general surgery malpractice insurance premiums; paid claims per surgeon; state tort reforms; and a composite measure. Associations between malpractice environment and postoperative outcomes and price-standardized Medicare payments were estimated using hierarchical logistic regression and generalized linear models. MAIN OUTCOME MEASURES: thirty-day postoperative mortality; complications (pneumonia, myocardial infarction, venous thromboembolism, acute renal failure, surgical site infection, postoperative sepsis, any complication); readmission; total price-standardized Medicare payments for index hospitalization and 30-day postdischarge episode-of-care. RESULTS: Few associations between measures of state malpractice risk environment and outcomes were identified. However, analyses using the composite measure showed that patients treated in states with greatest malpractice risk were more likely than those in lowest risk states to experience any complication (OR: 1.31; 95% CI: 1.22-1.41), pneumonia (OR: 1.36; 95%: CI, 1.16-1.60), myocardial infarction (OR: 1.44; 95% CI: 1.22-1.70), venous thromboembolism (OR:2.11; 95% CI: 1.70-2.61), acute renal failure (OR: 1.34; 95% CI; 1.22-1.47), and sepsis (OR: 1.38; 95% CI: 1.24-1.53; all P < 0.001). There were no consistent associations between malpractice environment and Medicare payments. CONCLUSIONS: There were no consistent associations between state-level malpractice risk and higher quality of care or Medicare payments for colorectal surgery.

A more complete measure of vertical integration between physicians and hospitals.

OBJECTIVE: To develop an accurate and reproducible measure of vertical integration between physicians and hospitals (defined as hospital or health system employment of physicians), which can be used to assess the impact of integration on healthcare quality and spending. DATA SOURCES AND STUDY SETTING: We use multiple data sources including from the Internal Revenue Service, the Centers for Medicare and Medicaid Services, and others to determine the Tax Identification Numbers (TINs) that hospitals and physicians use to bill Medicare for services, and link physician billing TINs to hospital-related TINs. STUDY DESIGN: We developed a new measure of vertical integration, based on the TINs that hospitals and physicians use to bill Medicare, using a broad set of sources for hospital-related TINs. We considered physicians as hospital-employed if they bill Medicare primarily or exclusively using hospital-related TINs. We assessed integration status for all physicians who billed Medicare from 1999 to 2019. We compared this measure with others used in the existing literature. We conducted a simulation study which highlights the importance of accurately identifying integrated physicians when study the effects of integration. DATA COLLECTION/EXTRACTION METHODS: We extracted physician and hospital-related TINs from multiple sources, emphasizing specificity (a small proportion of nonintegrated physicians identified as integrated). PRINCIPAL FINDINGS: We identified 12,269 hospital-related TINs, used for billing by 546,775 physicians. We estimate that the percentage of integrated physicians rose from 19% in 1999 to 43% in 2019. Our approach identifies many additional physician practices as integrated; a simpler TIN measure, comparable with prior work, identifies only 30% (3877) of the TINs we identify. A service location measure, used in prior work, has both many false positives and false negatives. CONCLUSION: We developed a new measure of hospital-physician integration. This measure is reproducible and identifies many additional physician practices as integrated.

Evidence on COVID-19 Mortality and Disparities Using a Novel Measure, COVID excess mortality percentage: Evidence from Indiana, Wisconsin, and Illinois.

COVID-19 mortality rates increase rapidly with age, are higher among men than women, and vary across racial/ethnic groups, but this is also true for other natural causes of death. Prior research on COVID-19 mortality rates and racial/ethnic disparities in those rates has not considered to what extent disparities reflect COVID-19-specific factors, versus preexisting health differences. This study examines both questions. We study the COVID-19-related increase in mortality risk and racial/ethnic disparities in COVID-19 mortality, and how both vary with age, gender, and time period. We use a novel measure validated in prior work, the COVID Excess Mortality Percentage (CEMP), defined as the COVID-19 mortality rate (Covid-MR), divided by the non-COVID natural mortality rate during the same time period (non-Covid NMR), converted to a percentage. The CEMP denominator uses Non-COVID NMR to adjust COVID-19 mortality risk for underlying population health. The CEMP measure generates insights which differ from those using two common measures-the COVID-MR and the all-cause excess mortality rate. By studying both CEMP and COVID-MRMR, we can separate the effects of background health from Covid-specific factors affecting COVID-19 mortality. We study how CEMP and COVID-MR vary by age, gender, race/ethnicity, and time period, using data on all adult decedents from natural causes in Indiana and Wisconsin over April 2020-June 2022 and Illinois over April 2020-December 2021. CEMP levels for racial and ethnic minority groups can be very high relative to White levels, especially for Hispanics in 2020 and the first-half of 2021. For example, during 2020, CEMP for Hispanics aged 18-59 was 68.9% versus 7.2% for non-Hispanic Whites; a ratio of 9.57:1. CEMP disparities are substantial but less extreme for other demographic groups. Disparities were generally lower after age 60 and declined over our sample period. Differences in socio-economic status and education explain only a small part of these disparities.