Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center.

BACKGROUND: Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup. METHODS: We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression. RESULTS: Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern. CONCLUSIONS: These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

Intensive Versus Traditional Cardiac Rehabilitation: Mortality and Cardiovascular Outcomes in a 2016-2020 Retrospective Medicare Cohort.

BACKGROUND: Traditional cardiac rehabilitation (CR) improves cardiovascular outcomes and reduces mortality, but less is known about the relative benefit of intensive CR (ICR) which incorporates greater lifestyle education through 72 sessions (versus 36 in CR). Our objective was to determine whether ICR is associated with a mortality and cardiovascular benefit compared with CR. METHODS: Retrospective cohort study of Medicare Fee-For-Service beneficiaries in a 100% sample, claims data set. Qualifying events were captured from May 1, 2016 to December 31, 2019 and ICR/CR utilization captured from May 1, 2016 to December 31, 2020. Among patients attending at least 1 day of either CR or ICR, Cox proportional hazards models using a 1 to 5 propensity score match were used to compare utilization and the association of ICR versus CR participation with (1) all-cause mortality and (2) cardiovascular-related hospitalizations or nonfatal cardiac events. Dose-response was assessed by the number of days attended. RESULTS: From 2016 to 2019, 1 277 358 unique patients met at least one qualifying indication for ICR/CR from 2016 to 2019. Of these, 262 579 (20.6%) and 4452 (0.4%) attended at least one session of CR or ICR, respectively (mean [SD] age, 73.2 [7.8] years; 32.3% female). In the matched sample, including 26 659 total patients (median, 2.4-year follow-up), ICR was associated with 12% lower all-cause mortality (multivariable adjusted hazard ratio, 0.88 [95% CI, 0.78-0.99]; P=0.036) compared with CR but no significant difference for cardiovascular-related hospitalization or nonfatal cardiac events. The mortality benefit was seen for both ICR and CR per day strata, with each modality demonstrating a clear dose-response benefit. CONCLUSIONS: ICR is associated with lower mortality than traditional CR among Medicare beneficiaries but no difference in cardiovascular-related hospitalization or nonfatal cardiac events. Moreover, ICR and CR demonstrate a dose-response relationship for mortality. Additional studies are needed to confirm these observations and to better understand the mechanisms by which ICR may lead to a reduction in mortality.

The Association of the UNOS Heart Allocation Policy Change With Transplant and Left Ventricular Assist Device Access and Outcomes.

In October 2018, the allocation policy for adult orthotopic heart transplant (OHTx) in the United States was changed, with the goal of reducing waitlist mortality and providing broader sharing of donor organs within the United States. This study aimed to assess the association of this policy change with changes in access to OHTx versus left ventricular assist devices (LVADs), overall and in key sociodemographic subgroups, in the United States from 2016 to 2019. We identified all patients receiving OHTx or LVAD between 2016 and 2019 using the National Inpatient Sample. Controlling for medical co-morbidities, prepolicy trends, and within-hospital-year effects, we fit a dynamic logistic regression model to evaluate patient and hospital factors associated with receiving OHTx versus LVAD before versus after policy change. We also examined the frequency of temporary mechanical circulatory support in the same fashion. We identified 2,264 patients who received OHTx and 3,157 who received LVADs during the study period. In its first year of implementation, the United Network for Organ Sharing policy change of 2018 was associated with no overall change utilization of OHTx versus LVAD. In OHTx recipients, the frequency of use of temporary mechanical circulatory support changed from 15.6% in the before period to 42.6% in the after period (p <0.001). Although the policy change was associated with differences in the odds of receiving an OHTx versus LVAD between different regions of the country, there were no significant changes based on age, gender, race/ethnicity, insurance status, or rurality. In conclusion, the United Network for Organ Sharing policy change on access to OHTx was associated with no overall change in OHTx versus LVAD use in its first year of implementation although we observed small changes in relative odds of transplant based on rurality. Shifts in regional allocation were not significant overall, although certain regions appeared to have a relative increase in their use of OHTx.

Variation in the Use of Targeted Temperature Management for Cardiac Arrest.

Targeted temperature management (TTM) is recommended for patients who do not respond after return of spontaneous circulation after cardiac arrest. However, the degree to which patients with cardiac arrest have access to this therapy on a national level is not known. Understanding hospital- and patient-level factors associated with receipt of TTM could inform interventions to improve access to this treatment among appropriate patients. Therefore, we performed a retrospective analysis using National Inpatient Sample data from 2016 to 2019. We used International Classification of Diseases, Tenth Edition diagnosis and procedure codes to identify adult patients with in-hospital and out-of-hospital cardiac arrest and receipt of TTM. We evaluated patient and hospital factors associated with receiving TTM. We identified 478,419 patients with cardiac arrest. Of those, 4,088 (0.85%) received TTM. Hospital use of TTM was driven by large, nonprofit, urban, teaching hospitals, with less use at other hospital types. There was significant regional variation in TTM capabilities, with the proportion of hospitals providing TTM ranging from >21% in the Mid-Atlantic region to <11% in the East and West South Central and Mountain regions. At the patient level, age >74 years (odds ratio [OR] 0.54, p <0.001), female gender (OR 0.89, p >0.001), and Hispanic ethnicity (OR 0.74, p <0.001) were all associated with decreased odds of receiving TTM. Patients with Medicare (OR 0.75, p <0.001) and Medicaid (OR 0.89, p = 0.027) were less likely than patients with private insurance to receive TTM. Part of these differences was driven by inequitable access to TTM-capable hospitals. In conclusion, TTM is rarely used after cardiac arrest. Hospital use of TTM is predominately limited to a subset of academic hospitals with substantial regional variation. Older age, female gender, Hispanic ethnicity, and Medicare or Medicaid insurance are all associated with a decreased likelihood of receiving TTM.

Inequities in Treatments and Outcomes Among Patients Hospitalized With Hypertrophic Cardiomyopathy in the United States.

Background Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiac disease. In small studies, sociodemographic factors have been associated with disparities in septal reduction therapy, but little is known about the association of sociodemographic factors with HCM treatments and outcomes more broadly. Methods and Results Using the National Inpatient Survey from 2012 to 2018, HCM diagnoses and procedures were identified by International Classification of Diseases, Ninth/Tenth Revision, Clinical Modification (ICD-9-CM and ICD-10-CM) codes. Logistic regression was used to determine the association of sociodemographic risk factors with HCM procedures and in-hospital death, adjusting for clinical comorbidities and hospital characteristics. Of 53 117 patients hospitalized with HCM, 57.7% were women, 20.5% were Black individuals, 27.7% lived in the lowest zip income quartile, and 14.7% lived in rural areas. Among those with obstruction (45.2%), compared with White patients, Black patients were less likely to undergo septal myectomy (adjusted odds ratio [aOR], 0.52 [95% CI, 0.40-0.68]), or alcohol septal ablation (aOR, 0.60 [95% CI, 0.42-0.86]). Patients with Medicaid were less likely to undergo each procedure (aOR, 0.78 [95% CI, 0.61-0.99] for myectomy; aOR, 0.54 [95% CI, 0.36-0.83] for ablation). Women (aOR, 0.66 [95% CI, 0.58-0.74]), patients with Medicaid (aOR, 0.78 [95% CI, 0.65-0.93]), and patients from low-income areas (aOR, 0.77 [95% CI, 0.65-0.93]) were less likely to receive implantable cardioverter-defibrillators. Women (aOR, 1.23 [95% CI, 1.10-1.37]) and patients from towns (aOR, 1.16 [95% CI, 1.03-1.31]) or rural areas (aOR, 1.57 [95% CI, 1.30-1.89]) had higher odds of in-hospital death. Conclusions Among 53 117 patients hospitalized with HCM, race, sex, social, and geographic risk factors were associated with disparities in HCM outcomes and treatment. Further research is required to identify and address the sources of these inequities.

Medicare Skilled Nursing Facility Use and Spending Before and After Introduction of the Public Health Emergency Waiver During the COVID-19 Pandemic.

Importance: In response to the COVID-19 pandemic, Medicare introduced a public health emergency (PHE) waiver in March 2020, removing a 3-day hospitalization requirement before fee-for-service beneficiaries could receive skilled nursing facility (SNF) care benefits. Objective: To assess whether there were changes in SNF episode volume and Medicare spending on SNF care before and during the PHE among long-term care (LTC) residents and other Medicare beneficiaries. Design, Setting, and Participants: This retrospective cohort study used Medicare fee-for-service claims and the Minimum Data Set for Medicare beneficiaries who were reimbursed for SNF care episodes from January 2018 to September 2021 in US SNFs. Exposures: The prepandemic period (January 2018-February 2020) vs the PHE period (March 2020-September 2021). Main Outcomes and Measures: The main outcomes were SNF episode volume, characteristics, and costs. Episodes were defined as standard (with a preceding 3-day hospitalization) or waiver (with other or no acute care use). Results: Skilled nursing facility care was provided to 4 299 863 Medicare fee-for-service beneficiaries. Medicare beneficiaries had on average 130 400 monthly SNF episodes in the prepandemic period (mean [SD] age of beneficiaries, 78.9 [11.0] years; 59% female) and 108 575 monthly episodes in the PHE period (mean [SD] age of beneficiaries, 79.0 [11.1] years; 59% female). All waiver episodes increased from 6% to 32%, and waiver episodes without preceding acute care increased from 3% to 18% (from 4% to 49% among LTC residents). Skilled nursing facility episodes provided for LTC residents increased by 77% (from 15 538 to 27 537 monthly episodes), primarily due to waiver episodes provided for residents with COVID-19 in 2020 and early 2021 (62% of waiver episodes without preceding acute care). Skilled nursing facilities in the top quartile of waiver episodes were more often for-profit (80% vs 68%) and had lower quality ratings (mean [SD] overall star rating, 2.7 [1.4] vs 3.2 [1.4]; mean [SD] staffing star rating, 2.5 [1.1] vs 3.0 [1.2]) compared with SNFs in the other quartiles. Monthly Medicare spending on SNF care was $2.1 billion before the pandemic and $2.0 billion during the PHE. For LTC residents, monthly SNF spending increased from $301 million to $585 million while spending on hospitalizations remained relatively stable. Conclusions and Relevance: This cohort study found that the PHE waiver for SNF care was associated with a marked increase in the prevalence of SNF episodes without a preceding hospitalization, especially in the first year of the COVID-19 pandemic. The waiver was used primarily among certain types of facilities and for LTC residents with COVID-19. Although the effect of the waiver cannot be differentiated from that of the pandemic, overall SNF care costs did not increase substantially; for LTC residents, the waiver was applied primarily for COVID-19 care, suggesting the waiver's successful implementation.

Care Disruption During COVID-19: a National Survey of Hospital Leaders.

BACKGROUND: The COVID-19 pandemic caused massive disruption in usual care delivery patterns in hospitals across the USA, and highlighted long-standing inequities in health care delivery and outcomes. Its effect on hospital operations, and whether the magnitude of the effect differed for hospitals serving historically marginalized populations, is unknown. OBJECTIVE: To investigate the perspectives of hospital leaders on the effects of COVID-19 on their facilities' operations and patient outcomes. METHODS: A survey was administered via print and electronic means to hospital leaders at 588 randomly sampled acute-care hospitals participating in Medicare's Inpatient Prospective Payment System, fielded from November 2020 to June 2021. Summary statistics were tabulated, and responses were adjusted for sampling strategy and non-response. RESULTS: There were 203 responses to the survey (41.6%), with 20.7% of respondents representing safety-net hospitals and 19.7% representing high-minority hospitals. Over three-quarters of hospitals reported COVID testing shortages, about two-thirds reported staffing shortages, and 78.8% repurposed hospital spaces to intensive care units, with a slightly higher proportion of high-minority hospitals reporting these effects. About half of respondents felt that non-COVID inpatients received worsened quality or outcomes during peak COVID surges, and almost two-thirds reported worsened quality or outcomes for outpatient non-COVID patients as well, with few differences by hospital safety-net or minority status. Over 80% of hospitals participated in alternative payment models prior to COVID, and a third of these reported decreasing these efforts due to the pandemic, with no differences between safety-net and high-minority hospitals. CONCLUSIONS: COVID-19 significantly disrupted the operations of hospitals across the USA, with hospitals serving patients in poverty and racial and ethnic minorities reporting relatively similar care disruption as non-safety-net and lower-minority hospitals.

Risk of delivery complications among pregnant people experiencing housing insecurity.

BACKGROUND: Housing insecurity is increasingly being recognized as an important social determinant of health. Pregnant individuals experiencing housing insecurity may represent a particularly vulnerable subset of this population, but few studies have examined this population nationally. In particular, racial and ethnic minority individuals may be at risk for poor outcomes within this group because of structural racism and discrimination. The introduction of the International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes related to social determinants of health represent a new opportunity to identify patients with housing insecurity nationally. OBJECTIVE: This study aimed to evaluate the prevalence of and delivery outcomes for pregnant people experiencing housing insecurity, both nationally and by race and ethnicity. STUDY DESIGN: This was a retrospective cohort study using data from the 2016 to 2018 National Inpatient Sample. Delivery hospitalizations for people experiencing housing insecurity were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code Z59. Among hospitals that coded at least 1 delivery for a patient with housing insecurity, logistic regression models were used to assess the odds of severe maternal morbidity associated with housing insecurity, adjusting for clinical risk and pregnancy characteristics. RESULTS: Of 539,950 delivery hospitalizations, 1820 hospitalizations (0.3%) were for patients with housing insecurity. Compared to deliveries for patients with housing security, deliveries for patients with housing insecurity were more likely for patients who identified as Black (34.8% vs 18.1%; P<.001) and who had Medicaid insurance (83.5% vs 46.2%; P<.001). People with housing insecurity were more likely to have comorbidities and higher-risk pregnancies, including higher rates of substance use disorders (54.0% vs 6.9%), major mental health disorders (37.5% vs 8.7%), preeclampsia with severe features (7.4% vs 4.3%), and preterm birth <37 weeks gestation (23.7% vs 11.6%) (all P<.001). In regression analyses, patients with housing insecurity had more than twice the odds of severe maternal morbidity than patients with housing security during the delivery hospitalization (odds ratio, 2.17; 95% confidence interval, 1.75-2.68). After adjusting for clinical risk and pregnancy characteristics, the differences were attenuated overall (adjusted odds ratio, 1.17; 95% confidence interval, 0.94-1.47) and among racial and ethnic groups (White patients: adjusted odds ratio, 1.39; 95% confidence interval, 0.95-2.03; Black patients: adjusted odds ratio, 1.05; 95% confidence interval, 0.73-1.52; Hispanic patients: adjusted odds ratio, 1.04; 95% confidence interval, 0.59-1.84; Asian or Pacific Islander or Native American or other race patients: adjusted odds ratio, 1.08; 95% confidence interval, 0.45-2.58). CONCLUSION: Pregnant individuals experiencing housing insecurity were more likely to be from groups that have been marginalized historically, had higher rates of comorbidities, and worse delivery outcomes. After risk adjustment, differences in the odds of severe maternal mortality were attenuated. Screening for housing insecurity may identify these patients earlier and connect them to services that could improve disparities in outcomes.

Changes in Health and Quality of Life in US Skilled Nursing Facilities by COVID-19 Exposure Status in 2020.

Importance: During the COVID-19 pandemic, the US federal government required that skilled nursing facilities (SNFs) close to visitors and eliminate communal activities. Although these policies were intended to protect residents, they may have had unintended negative effects. Objective: To assess health outcomes among SNFs with and without known COVID-19 cases. Design, Setting, and Participants: This retrospective observational study used US Medicare claims and Minimum Data Set 3.0 for January through November in each year beginning in 2018 and ending in 2020 including 15 477 US SNFs with 2 985 864 resident-years. Exposures: January through November of calendar years 2018, 2019, and 2020. COVID-19 diagnoses were used to assign SNFs into 2 mutually exclusive groups with varying membership by month in 2020: active COVID-19 (≥1 COVID-19 diagnosis in the current or past month) or no-known COVID-19 (no observed diagnosis by that month). Main Outcomes and Measures: Monthly rates of mortality, hospitalization, emergency department (ED) visits, and monthly changes in activities of daily living (ADLs), body weight, and depressive symptoms. Each SNF in 2018 and 2019 served as its own control for 2020. Results: In 2018-2019, mean monthly mortality was 2.2%, hospitalization 3.0%, and ED visit rate 2.9% overall. In 2020, among active COVID-19 SNFs compared with their own 2018-2019 baseline, mortality increased by 1.60% (95% CI, 1.58% to 1.62%), hospitalizations decreased by 0.10% (95% CI, -0.12% to -0.09%), and ED visit rates decreased by 0.57% (95% CI, -0.59% to -0.55%). Among no-known COVID-19 SNFs, mortality decreased by 0.15% (95% CI, -0.16% to -0.13%), hospitalizations by 0.83% (95% CI, -0.85% to -0.81%), and ED visits by 0.79% (95% CI, -0.81% to -0.77%). All changes were statistically significant. In 2018-2019, across all SNFs, residents required assistance with an additional 0.89 ADLs between January and November, and lost 1.9 lb; 27.1% had worsened depressive symptoms. In 2020, residents in active COVID-19 SNFs required assistance with an additional 0.36 ADLs (95% CI, 0.34 to 0.38), lost 3.1 lb (95% CI, -3.2 to -3.0 lb) more weight, and were 4.4% (95% CI, 4.1% to 4.7%) more likely to have worsened depressive symptoms, all statistically significant changes. In 2020, residents in no-known COVID-19 SNFs had no significant change in ADLs (-0.06 [95% CI, -0.12 to 0.01]), but lost 1.8 lb (95% CI, -2.1 to -1.5 lb) more weight and were 3.2% more likely (95% CI, 2.3% to 4.1%) to have worsened depressive symptoms, both statistically significant changes. Conclusions and Relevance: Among skilled nursing facilities in the US during the first year of the COVID-19 pandemic and prior to the availability of COVID-19 vaccination, mortality and functional decline significantly increased at facilities with active COVID-19 cases compared with the prepandemic period, while a modest statistically significant decrease in mortality was observed at facilities that had never had a known COVID-19 case. Weight loss and depressive symptoms significantly increased in skilled nursing facilities in the first year of the pandemic, regardless of COVID-19 status.

Three-Year Impact Of Stratification In The Medicare Hospital Readmissions Reduction Program.

The Medicare Hospital Readmissions Reduction Program (HRRP) financially penalizes hospitals with high readmission rates. In fiscal year 2019 the program was changed to account for the association between social risk and high readmission rates. The new approach stratifies hospitals into five groups by hospitals' proportion of patients dually enrolled in Medicare and Medicaid, and it evaluates performance within each stratum instead of within the national cohort. Its impact on hospitals caring for vulnerable populations has not been studied. We calculated the change in average annual penalty percentage, before and after stratification, for safety-net hospitals, rural hospitals, and hospitals caring for a high share of Black and Hispanic or Latino patients. We found that stratification by proportion of dual enrollees was associated with a decrease in penalties by -0.09 percentage points at hospitals with the highest proportion of dual enrollees, -0.08 percentage points at rural hospitals, and -0.06 percentage points at hospitals with a large share of Black and Hispanic or Latino patients. Fully adjusted analyses suggest that these patterns were driven by penalty reductions at rural hospitals and hospitals disproportionately serving Black and Hispanic or Latino patients. Given the allocation of fewer penalties to these hospitals, we conclude that the stratification mandate was a modest step toward equity within the HRRP.

Impact of the COVID-19 Pandemic on Patients Without COVID-19 With Acute Myocardial Infarction and Heart Failure.

Background Excess mortality from cardiovascular disease during the COVID-19 pandemic has been reported. The mechanism is unclear but may include delay or deferral of care, or differential treatment during hospitalization because of strains on hospital capacity. Methods and Results We used emergency department and inpatient data from a 12-hospital health system to examine changes in volume, patient age and comorbidities, treatment (right- and left-heart catheterization), and outcomes for patients with acute myocardial infarction (AMI) and heart failure (HF) during the COVID-19 pandemic compared with pre-COVID-19 (2018 and 2019), controlling for seasonal variation. We analyzed 27 427 emergency department visits or hospitalizations. Patient volume decreased during COVID-19 for both HF and AMI, but age, race, sex, and medical comorbidities were similar before and during COVID-19 for both groups. Acuity increased for AMI as measured by the proportion of patients with ST-segment elevation. There were no differences in right-heart catheterization for patients with HF or in left heart catheterization for patients with AMI. In-hospital mortality increased for AMI during COVID-19 (odds ratio [OR], 1.46; 95% CI, 1.21-1.76), particularly among the ST-segment-elevation myocardial infarction subgroup (OR, 2.57; 95% CI, 2.24-2.96), but was unchanged for HF (OR, 1.02; 95% CI, 0.89-1.16). Conclusions Cardiovascular volume decreased during COVID-19. Despite similar patient age and comorbidities and in-hospital treatments during COVID-19, mortality increased for patients with AMI but not patients with HF. Given that AMI is a time-sensitive condition, delay or deferral of care rather than changes in hospital care delivery may have led to worse cardiovascular outcomes during COVID-19.

Racial Inequities Across Rural Strata in Acute Stroke Care and In-Hospital Mortality: National Trends Over 6 Years.

BACKGROUND: There are glaring racial and rural-urban inequities in stroke outcomes. The objective of this study was to determine whether there were recent changes to trends in racial inequities in stroke treatment and in-hospital mortality, and whether racial inequities differed across rural strata. METHODS: Retrospective analysis of Black and White patients >18 years old admitted to US acute care hospitals with a primary discharge diagnosis of stroke (unweighted N=652 836) from the National Inpatient Sample from 2012 to 2017. Rural residence was classified by county as urban, town, or rural. The primary outcomes were intravenous thrombolysis and endovascular therapy use among patients with acute ischemic stroke, and in-hospital mortality for all stroke patients. Logistic regression models were run for each outcome adjusting for age, comorbidities, primary payer, and ZIP code median income. RESULTS: The sample was 53% female, 81% White, and 19% Black. Black patients from rural areas had the lowest odds of receiving intravenous thrombolysis (adjusted odds ratio [aOR], 0.43 [95% CI, 0.37-0.50]) and endovascular therapy (aOR, 0.60 [0.46-0.78]), compared with White urban patients. Black rural patients were the least likely to be discharged home after a stroke compared with White/urban patients (aOR, 0.79 [0.75-0.83]), this was true for Black patients across the urban-rural spectrum when compared with Whites. Black patients from urban areas had lower mortality than White patients from urban areas (aOR, 0.87 [0.84-0.91]), while White patients from rural areas (aOR, 1.14 [1.10-1.19]) had the highest mortality of all groups. CONCLUSIONS: Black patients living in rural areas represent a particularly high-risk group for poor access to advanced stroke care and impaired poststroke functional status. Rural White patients have the highest in-hospital mortality. Clinical and policy interventions are needed to improve access and reduce inequities in stroke care and outcomes.

Characteristics of U.S. Acute Care Hospitals That Have Implemented Telemedicine Critical Care.

OBJECTIVES: Telemedicine critical care is associated with improved efficiency, quality, and cost-effectiveness. As of 2010, fewer than 5% of U.S. hospitals had telemedicine critical care, and fewer than 10% of ICU beds were covered. We evaluated recent telemedicine critical care implementation and bed coverage rates in the United States and compared characteristics of hospitals with and without telemedicine critical care. DESIGN: Cross-sectional study of 2018 American Hospital Association Annual Survey Database. SETTING: U.S. hospitals. PATIENTS: None. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We obtained data regarding telemedicine critical care implementation, ICU capability (defined as ≥ 1 ICU bed), other hospital characteristics, and the Herfindahl-Hirschman Index, a measure of ICU market competition based on hospital referral regions. Among 4,396 hospitals (response rate 71%), 788 (17.9%) had telemedicine critical care, providing potential coverage to 27,624 (28% of total) ICU beds. Among 306 hospital referral regions, 197 (64%) had a respondent hospital with telemedicine critical care. Telemedicine critical care implementation was associated with being a nonprofit (odds ratio, 7.75; 95% CI, 5.18-11.58) or public (odds ratio, 4.16 [2.57-6.73]) compared with for-profit hospital; membership in a health system (odds ratio, 3.83 [2.89-5.08]; stroke telemedicine presence (odds ratio, 6.87 [5.35-8.81]); ICU capability (odds ratio, 1.68 [1.25-2.26]); and more competitive ICU markets (odds ratio per 1,000-point decrease in Herfindahl-Hirschman Index 1.11 [1.01-1.22]). Notably, rural critical access hospitals had lower odds of telemedicine critical care implementation (odds ratio, 0.49 [0.34-0.70]). Teaching status, geographic region, and rurality were not associated with telemedicine critical care implementation. CONCLUSIONS: About one fifth of respondent hospitals had telemedicine critical care by 2018, providing potential coverage of nearly one third of reported ICU beds. This represents a substantial increase in telemedicine critical care implementation over the last decade. Future expansion to include more rural hospitals that could benefit most may be aided by addressing hospital financial and market barriers to telemedicine critical care implementation.

Changes In Non-COVID-19 Emergency Department Visits By Acuity And Insurance Status During The COVID-19 Pandemic.

Prior studies suggest that the COVID-19 pandemic was associated with decreases in emergency department (ED) volumes, but it is not known whether these decreases varied by visit acuity or by demographic and socioeconomic risk factors. In this study of more than one million non-COVID-19 visits to thirteen EDs in a large St. Louis, Missouri, health system, we observed an overall 35 percent decline in ED visits. The decrease in medical and surgical visits ranged from 40 percent to 52 percent across acuity levels, with no statistically significant differences between higher- and lower-acuity visits after correction for multiple comparisons. Mental health visits saw a smaller decrease (-32 percent), and there was no decrease for visits due to substance use. Medicare patients had the smallest decrease in visits (-31 percent) of the insurance groups; privately insured (-46 percent) and Medicaid (-44 percent) patients saw larger drops. There were no observable differences in ED visit decreases by race. These findings can help inform interventions to ensure that people requiring timely ED care continue to seek it and to improve access to lower-risk alternative settings of care where appropriate.

Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions.

Recent studies consider lifestyle risk score (LRS), an aggregation of multiple lifestyle exposures, in identifying association of gene-lifestyle interaction with disease traits. However, not all cohorts have data on all lifestyle factors, leading to increased heterogeneity in the environmental exposure in collaborative meta-analyses. We compared and evaluated four approaches (Naïve, Safe, Complete and Moderator Approaches) to handle the missingness in LRS-stratified meta-analyses under various scenarios. Compared to "benchmark" results with all lifestyle factors available for all cohorts, the Complete Approach, which included only cohorts with all lifestyle components, was underpowered due to lower sample size, and the Naïve Approach, which utilized all available data and ignored the missingness, was slightly inflated. The Safe Approach, which used all data in LRS-exposed group and only included cohorts with all lifestyle factors available in the LRS-unexposed group, and the Moderator Approach, which handled missingness via moderator meta-regression, were both slightly conservative and yielded almost identical p values. We also evaluated the performance of the Safe Approach under different scenarios. We observed that the larger the proportion of cohorts without missingness included, the more accurate the results compared to "benchmark" results. In conclusion, we generally recommend the Safe Approach, a straightforward and non-inflated approach, to handle heterogeneity among cohorts in the LRS based genome-wide interaction meta-analyses.

Association of Stratification by Proportion of Patients Dually Enrolled in Medicare and Medicaid With Financial Penalties in the Hospital-Acquired Condition Reduction Program.

Importance: The Hospital-Acquired Condition Reduction Program (HACRP) is a value-based payment program focused on safety events. Prior studies have found that the program disproportionately penalizes safety-net hospitals, which may perform more poorly because of unmeasured severity of illness rather than lower quality. A similar program, the Hospital Readmissions Reduction Program, stratifies hospitals into 5 peer groups for evaluation based on the proportion of their patients dually enrolled in Medicare and Medicaid, but the effect of stratification on the HACRP is unknown. Objective: To characterize the hospitals penalized by the HACRP and the distribution of financial penalties before and after stratification. Design, Setting, and Participants: This economic evaluation used publicly available data on HACRP performance and penalties merged with hospital characteristics and cost reports. A total of 3102 hospitals participating in the HACRP in fiscal year 2020 (covering data from July 1, 2016, to December 31, 2018) were studied. Exposures: Hospitals were divided into 5 groups based on the proportion of patients dually enrolled, and penalties were assigned to the lowest-performing quartile of hospitals in each group rather than the lowest-performing quartile overall. Main Outcomes and Measures: Penalties in the prestratification vs poststratification schemes. Results: The study identified 3102 hospitals evaluated by the HACRP. Safety-net hospitals received $111 333 384 in penalties before stratification compared with an estimated $79 087 744 after stratification-a savings of $32 245 640. Hospitals less likely to receive penalties after stratification included safety-net hospitals (33.6% penalized before stratification vs 24.8% after stratification, Δ = -8.8 percentage points [pp], P < .001), public hospitals (34.1% vs 30.5%, Δ = -3.6 pp, P = .003), hospitals in the West (26.8% vs 23.2%, Δ = -3.6 pp, P < .001), hospitals in Medicaid expansion states (27.3% vs 25.6%, Δ = -1.7 pp, P = .003), and hospitals caring for the most patients with disabilities (32.2% vs 28.3%, Δ = -3.9 pp, P < .001) and from racial/ethnic minority backgrounds (35.1% vs 31.5%, Δ = -3.6 pp, P < .001). In multivariate analyses, safety-net status and treating patients with highly medically complex conditions were associated with higher odds of moving from penalized to nonpenalized status. Conclusions and Relevance: This economic evaluation suggests that stratification of hospitals would be associated with a narrowing of disparities in penalties and a marked reduction in penalties for safety-net hospitals. Policy makers should consider adopting stratification for the HACRP.

Identifying blood pressure loci whose effects are modulated by multiple lifestyle exposures.

Although multiple lifestyle exposures simultaneously impact blood pressure (BP) and cardiovascular health, most analysis so far has considered each single lifestyle exposure (e.g., smoking) at a time. Here, we exploit gene-multiple lifestyle exposure interactions to find novel BP loci. For each of 6,254 Framingham Heart Study participants, we computed lifestyle risk score (LRS) value by aggregating the risk of four lifestyle exposures (smoking, alcohol, education, and physical activity) on BP. Using the LRS, we performed genome-wide gene-environment interaction analysis in systolic and diastolic BP using the joint 2 degree of freedom (DF) and 1 DF interaction tests. We identified one genome-wide significant (p < 5 × 10-8 ) and 11 suggestive (p < 1 × 10-6 ) loci. Gene-environment analysis using single lifestyle exposures identified only one of the 12 loci. Nine of the 12 BP loci detected were novel. Loci detected by the LRS were located within or nearby genes with biologically plausible roles in the pathophysiology of hypertension, including KALRN, VIPR2, SNX1, and DAPK2. Our results suggest that simultaneous consideration of multiple lifestyle exposures in gene-environment interaction analysis can identify additional loci missed by single lifestyle approaches.

The Promise of Selecting Individuals from the Extremes of Exposure in the Analysis of Gene-Physical Activity Interactions.

BACKGROUND: Dichotomization using the lower quartile as cutoff is commonly used for harmonizing heterogeneous physical activity (PA) measures across studies. However, this may create misclassification and hinder discovery of new loci. OBJECTIVES: This study aimed to evaluate the performance of selecting individuals from the extremes of the exposure (SIEE) as an alternative approach to reduce such misclassification. METHOD: For systolic and diastolic blood pressure in the Framingham Heart Study, we performed a genome-wide association study with gene-PA interaction analysis using three PA variables derived by SIEE and two other dichotomization approaches. We compared number of loci detected and overlap with loci found using a quantitative PA variable. In addition, we performed simulation studies to assess bias, false discovery rates (FDR), and power under synergistic/antagonistic genetic effects in exposure groups and in the presence/absence of measurement error. RESULTS: In the empirical analysis, SIEE's performance was neither the best nor the worst. In most simulation scenarios, SIEE was consistently outperformed in terms of FDR and power. Particularly, in a scenario characterized by antagonistic effects and measurement error, SIEE had the least bias and highest power. CONCLUSION: SIEE's promise appears limited to detecting loci with antagonistic effects. Further studies are needed to evaluate SIEE's full advantage.

A Review of the Genetics of Hypertension with a Focus on Gene-Environment Interactions.

PURPOSE OF REVIEW: Here, we discuss the interpretation and modeling of gene-environment interactions in hypertension-related phenotypes, with a focus on the necessary assumptions and possible challenges. RECENT FINDINGS: Recently, small cohort studies have discovered several novel genetic variants associated with hypertension-related phenotypes through modeling gene-environment interactions. Several consortia-based meta-analytic efforts have uncovered many novel genetic variants in hypertension without modeling interaction terms, giving promise to future meta-analytic efforts that incorporate gene-environment interactions. Heritability studies and genome-wide association studies have established that hypertension, a prevalent cardiovascular disease, has a genetic component that may be modulated by the environment (such as lifestyle factors). This review includes a discussion of known genetic associations for hypertension/blood pressure, including those resulting from the incorporation of gene-environmental interaction modeling.