Associations of U.S. hospital closure (2007-2018) with area socioeconomic disadvantage and racial/ethnic composition.

PURPOSE: To examine whether hospital closure is associated with high levels of area socioeconomic disadvantage and racial/ethnic minority composition. METHODS: Pooled cross-sectional analysis (2007-2018) of 6467 U.S. hospitals from the American Hospital Association's Annual Survey, comparing hospital population characteristics of closed hospitals to all remaining open hospitals. We used multilevel mixed-effects logistic regression models to assess closure as a function of population characteristics, including area deprivation index ([ADI], a composite measure of socioeconomic disadvantage), racial/ethnic composition, and rural classification, nesting hospitals within hospital service areas (HSAs) and hospital referral regions. Secondary analyses examined public or private hospital type. RESULTS: Overall, 326 (5.0%) of 6467 U.S. hospitals closed during the study period. In multivariable models, hospitals in HSAs with a higher burden of socioeconomic disadvantage (per 10% above median ADI ZIP codes, AOR 1.05; 95% CI, 1.01-1.09) and Black Non-Hispanic composition (highest quartile, AOR 4.03; 95% CI, 2.62-6.21) had higher odds of closure. We did not observe disparities in closure by Hispanic/Latino composition or rurality. Disparities persisted for Black Non-Hispanic communities, even among HSAs with the lowest burden of disadvantage. CONCLUSIONS: Disproportionate hospital closure in communities with higher socioeconomic disadvantage and Black racial composition raises concerns about unequal loss of healthcare resources in the U.S.

Comparison of the Financial and Operational Characteristics of For-Profit and Nonprofit Hospitals Receiving Federal Graduate Medical Education Payments, 2011-2020.

This study compares graduate medical education (GME) payments between nonprofit and for-profit hospitals between 2011 and 2020 to assess how hospitals value GME.

Association of Private Equity Acquisition of Physician Practices With Changes in Health Care Spending and Utilization.

Importance: Private equity acquisitions of physician practices in the US have been increasing rapidly; however, the implications for health care delivery and spending are unclear. Objective: To examine changes in prices and utilization associated with private equity acquisitions of physician practices across multiple specialties. Design, Settings, and Participants: This was a difference-in-differences event study of US physician practices specialized in dermatology, gastroenterology, and ophthalmology that were acquired by private equity firms from 2016 to 2020. Within each specialty, each private equity-acquired (PE-acquired) practice was matched with as many as 5 control practices based on the preacquisition number of unique patients, encounters, risk score, share of services billed out-of-network, and spending. The PE-acquired practices were compared with matched controls through year 2 after acquisition, using a difference-in-differences event study. Data analyses were performed from March 2021 to February 2022. Exposures: Private equity acquisition of physician practices. Main Outcomes and Measures: Measures of spending and utilization, including the charge and price (amount paid) per claim, new and unique patients, and total encounters. Results: Compared with the 2874 control practices, the 578 PE-acquired physician practices exhibited an average increase of $71 (+20.2%) charged per claim (95% CI, 13.1%-27.3%; P < .001) and $23 (+11.0%) in the allowed amount per claim (95% CI, 5.6%-16.5%; P < .001). The PE-acquired practices increased their numbers of unique patients seen by 25.8% (95% CI, 15.8%-35.6%; P < .001) compared with control practices, driven by a 37.9% increase in visits by new patients (95% CI, 25.6%-50.2%; P < .001). In aggregate, their volume of encounters increased by 16.3% (95% CI, 1.0%-32.0%; P = .04) compared with the control group, with a 9.4% increase in the share of office visits for established patients that were billed as longer than 30 minutes (95% CI, 1.7%-17.0%; P = .02). No statistically significant changes in patient risk scores were found between PE-acquired practices and controls. Within specialties, we found modest differences along selected outcomes. Conclusions and Relevance: In this difference-in-differences study, private equity acquisition of physician practices in dermatology, gastroenterology, and ophthalmology were associated with differential increases in allowed amount and charges per claim, volume of encounters, and new patients seen, as well as some changes in billing and coding.

Changes in Hospital Income, Use, and Quality Associated With Private Equity Acquisition.

Importance: Rigorous evidence describing the relationship between private equity acquisition and changes in hospital spending and quality is currently lacking. Objective: To examine changes in hospital income, use, and quality measures that may be associated with private equity acquisition. Design, Setting, and Participants: This cohort study identified 204 hospitals acquired by private equity firms from 2005 to 2017 and 532 matched hospitals not acquired by private equity. Using a difference-in-differences design, this study evaluated changes in net income, charges, charge to cost ratios, case mix index (a measure of reported illness burden), share of discharges for patients with Medicare or Medicaid coverage, discharges per year, and aggregate hospital quality measures associated with private equity acquisition through 3 years after acquisition, adjusted for case mix, hospital beds, calendar year, and adjustment for multiple hypothesis testing. In subgroup analyses, changes in outcomes for private equity-owned Hospital Corporation of America (HCA) hospitals and non-HCA hospitals relative to matched controls were assessed. Primary Outcomes and Measures: Eight hospital income and use measures and 3 aggregate hospital quality measures were examined. Results: Relative to 532 control hospitals, the 204 private equity-acquired hospitals showed a mean increase of $2 302 391 (95% CI, $956 660-$3 648 123; P = .009) in annual net income, an increase of $407 (95% CI, $296-$518; P < .001) in total charge per inpatient day, an increase of 0.61 (95% CI, 0.48-0.73; P < .001) in emergency department charge to cost ratio, an increase of 0.31 (95% CI, 0.26-0.37; P < .001) in total charge to cost ratio, an increase of 0.02 (95% CI, 0.01-0.02; P = .007) in case mix index, and a decrease of 0.96% (95% CI, 0.46%-1.45%; P = .002) in share of Medicare discharges. Medicaid's share of discharges (-0.16%; 95% CI, -0.86% to 0.53%; P > .99) and total hospital discharges (98; 95% CI, -54 to 250; P > .99) did not change differentially in a statistically significant manner. The aggregate quality score for acute myocardial infarction increased by 3.3% (95% CI, 1.6%-5.0%; P = .002), and the aggregate score for pneumonia increased by 2.9% (95% CI, 1.8%-3.9%; P < .001) in private equity-acquired hospitals relative to controls. The aggregate score for heart failure (1.3%; 95% CI, -0.2% to 2.7%; P = .92) did not differentially change in a statistically significant manner. In subgroup analyses, HCA hospitals showed similar findings to the entire sample. Among non-HCA hospitals, the only statistically significant relative changes were the increase in the emergency department charge to cost ratio (0.30; 95% CI, 0.12-0.48; P = .02) and the decrease in Medicare's share (-1.15%; 95% CI, -1.88% to -0.43%; P = .02). Non-HCA hospitals showed a decrease in the aggregate heart failure score (-3.3%; 95% CI, -5.3% to -1.3%; P = .01) and no statistically significant changes in the aggregate score for acute myocardial infarction (2.4%; 95% CI, -0.7% to 5.4%; P > .99) or pneumonia (0.2%; 95% CI, -1.4% to 1.7%; P > .99). Conclusions and Relevance: Hospitals acquired by private equity were associated with larger increases in net income, charges, charge to cost ratios, and case mix index as well as with improvement in some quality measures after acquisition relative to nonacquired controls. Heterogeneity in some findings was observed between HCA and non-HCA hospitals.

Intestinal infection associated with future onset of an anxiety disorder: Results of a nationally representative study.

Recent research involving mice suggests a possible relationship between intestinal infection and future anxiety-like behavior. However, there has been little epidemiological research showing such a connection in humans. This study uses the Medical Expenditure Panel Survey (MEPS) to assess longitudinally the association between intestinal infection and later onset of an anxiety disorder, through a nationally representative sample. Six 2-year panel datasets, each comprised of 5 consecutive rounds, were pooled from 2007 to 2013 to gather records for all respondents 18years of age or older that did not have an anxiety disorder in Round 1 (n=63, 133 people). Within the study sample, there were 2577 individuals with an intestinal infection in Round 1 and 4239 individuals with an anxiety disorder that began in Round 2, 3, 4, or 5. Overall, intestinal infection in Round 1 was associated with a 1.34 (P<0.01) odds ratio of having an anxiety disorder that began in Round 2, 3, 4, or 5. Separate analyses were performed to determine whether the association applied to other infection types, including respiratory infection, urinary tract infection, hepatitis infection, and skin infection. Respiratory infection was associated with a 1.36 (P<0.01) odds ratio of having an anxiety disorder that began in Round 2, 3, 4, or 5; no other infection type showed a significant association. More research on human populations is needed to examine the apparent association and explore potential mechanisms by which gut pathogens might influence anxiety.