Characteristics of COVID-19 in Homeless Shelters: A Community-Based Surveillance Study: Annals of Internal Medicine: Vol 174, No 1

Background: Homeless shelters are a high-risk setting for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission because of crowding and shared hygiene facilities. Objective: To investigate SARS-CoV-2 case counts across several adult and family homeless shelters in a major metropolitan area. Design: Cross-sectional, community-based surveillance study. (ClinicalTrials.gov: NCT04141917) Setting: 14 homeless shelters in King County, Washington. Participants: A total of 1434 study encounters were done in shelter residents and staff, regardless of symptoms. Intervention: 2 strategies were used for SARS-CoV-2 testing: routine surveillance and contact tracing (“surge testing”) events. Measurements: The primary outcome measure was test positivity rate of SARS-CoV-2 infection at shelters, determined by dividing the number of positive cases by the total number of participant encounters, regardless of symptoms. Sociodemographic, clinical, and virologic variables were assessed as correlates of viral positivity. Results: Among 1434 encounters, 29 (2% [95% CI, 1.4% to 2.9%]) cases of SARS-CoV-2 infection were detected across 5 shelters. Most (n = 21 [72.4%]) were detected during surge testing events rather than routine surveillance, and most (n = 21 [72.4% {CI, 52.8% to 87.3%}]) were asymptomatic at the time of sample collection. Persons who were positive for SARS-CoV-2 were more frequently aged 60 years or older than those without SARS-CoV-2 (44.8% vs. 15.9%). Eighty-six percent of persons with positive test results slept in a communal space rather than in a private or shared room. Limitation: Selection bias due to voluntary participation and a relatively small case count. Conclusion: Active surveillance and surge testing were used to detect multiple cases of asymptomatic and symptomatic SARS-CoV-2 infection in homeless shelters. The findings suggest an unmet need for routine viral testing outside of clinical settings for homeless populations. Primary Funding Source: Gates Ventures.

Evaluation of Hospital Performance Using the Excess Days in Acute Care Measure in the Hospital Readmissions Reduction Program

The Hospital Readmissions Reduction Program (HRRP) has penalized hospitals with higher 30-day readmission rates more than $3 billion to date. Clinicians and policy experts have raised concerns that the 30-day readmission measure used in this program provides an incomplete picture of performance because it does not capture all hospital encounters that may occur after discharge. In contrast, the excess days in acute care (EDAC) measure, which currently is not used in the HRRP, captures the full spectrum of hospital encounters (emergency department, observation stay, inpatient readmission) and their associated lengths of stay within 30 days of discharge. This study of 3173 hospitals that participated in the HRRP in fiscal year 2019 compared performance on the readmission and EDAC measures and evaluated whether using the EDAC measure would change hospitals' penalty status for 3 conditions targeted by the HRRP. Overall, only moderate agreement was found on hospital performance rankings by using the readmission and EDAC measures (weighted κ statistic: heart failure, 0.45 [95% CI, 0.42 to 0.47]; acute myocardial infarction [AMI], 0.37 [CI, 0.35 to 0.40]; and pneumonia, 0.50 [CI, 0.47 to 0.52]). Under the HRRP, the penalty status of 769 (27.0%) of 2845 hospitals for heart failure, 581 (28.3%) of 2055 for AMI, and 724 (24.9%) of 2911 for pneumonia would change if the EDAC measure were used instead of the readmission measure to evaluate performance. Fewer small and rural hospitals would receive penalties. The Centers for Medicare & Medicaid Services should consider using the EDAC measure, which provides a more comprehensive picture of postdischarge hospital use, rather than the 30-day readmission measure to evaluate health care system performance under federal quality, reporting, and value-based programs.

Reduced In-Person and Increased Telehealth Outpatient Visits During the COVID-19 Pandemic

Loss of Smell and Taste in 2013 European Patients With Mild to Moderate COVID-19

Older Firearm Owners and Advance Planning: Results of a National Survey

Historical Insights on Coronavirus Disease 2019 (COVID-19), the 1918 Influenza Pandemic, and Racial Disparities: Illuminating a Path Forward

The coronavirus disease 2019 (COVID-19) pandemic is exacting a disproportionate toll on ethnic minority communities and magnifying existing disparities in health care access and treatment. To understand this crisis, physicians and public health researchers have searched history for insights, especially from a great outbreak approximately a century ago: the 1918 influenza pandemic. However, of the accounts examining the 1918 influenza pandemic and COVID-19, only a notable few discuss race. Yet, a rich, broader scholarship on race and epidemic disease as a “sampling device for social analysis” exists. This commentary examines the historical arc of the 1918 influenza pandemic, focusing on black Americans and showing the complex and sometimes surprising ways it operated, triggering particular responses both within a minority community and in wider racial, sociopolitical, and public health structures. This analysis reveals that critical structural inequities and health care gaps have historically contributed to and continue to compound disparate health outcomes among communities of color. Shifting from this context to the present, this article frames a discussion of racial health disparities through a resilience approach rather than a deficit approach and offers a blueprint for approaching the COVID-19 crisis and its afterlives through the lens of health equity.

Effect of Intensive Blood Pressure Lowering on Cardiovascular Outcomes: A Systematic Review Prepared for the 2020 U.S. Department of Veterans Affairs/U.S. Department of Defense Guidelines

Background: Recent clinical trials suggest that treating patients with hypertension to lower blood pressure (BP) targets improves cardiovascular outcomes. Purpose: To summarize the effects of intensive (or targeted) systolic BP (SBP) and diastolic BP (DBP) lowering with pharmacologic treatment on cardiovascular outcomes and harms in adults with hypertension. Data Sources: Multiple databases, including MEDLINE and EMBASE, were searched for relevant systematic reviews (SRs) published in English from 15 December 2013 through 25 March 2019, with updated targeted searches through 8 January 2020. Study Selection: 8 SRs of randomized controlled trials examining either a standardized SBP target of −10 mm Hg (1 SR) or BP lowering below a target threshold (7 SRs). Data Extraction: One investigator abstracted data, assessed study quality, and performed GRADE assessments; a second investigator checked abstractions and assessments. Data Synthesis: The main outcome of interest was reduction in composite cardiovascular outcomes. High-strength evidence showed benefit of a 10–mm Hg reduction in SBP for cardiovascular outcomes among patients with hypertension in the general population, patients with chronic kidney disease, and patients with heart failure. Evidence on reducing SBP for cardiovascular outcomes in patients with a history of cardiovascular disease (moderate strength) or diabetes mellitus (high strength) to a lower SBP target was mixed. Low-strength evidence supported intensive lowering to a 10–mm Hg reduction in SBP for cardiovascular outcomes in patients with a history of stroke. All reported harms were considered, including general adverse events, serious adverse events, cognitive impairment, fractures, falls, syncope, hypotension, withdrawals due to adverse events, and acute kidney injury. Safety results were mixed or inconclusive. Limitations: This was a qualitative synthesis of new evidence with existing meta-analyses. Data were sparse for outcomes related to treating DBP to a lower target or for patients older than 60 years. Conclusion: Overall, current clinical literature supports intensive BP lowering in patients with hypertension for improving cardiovascular outcomes. In most subpopulations, intensive lowering was favored over less-intensive lowering, but the data were less clear for patients with diabetes mellitus or cardiovascular disease. Primary Funding Source: U.S. Department of Veterans Affairs, Veterans Health Administration.

Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model

Background: Lung cancer screening with chest computed tomography (CT) reduces lung cancer death. Centers for Medicare & Medicaid Services (CMS) eligibility criteria for lung cancer screening with CT require detailed smoking information and miss many incident lung cancers. An automated deep-learning approach based on chest radiograph images may identify more smokers at high risk for lung cancer who could benefit from screening with CT. Objective: To develop and validate a convolutional neural network (CXR-LC) that predicts long-term incident lung cancer using data commonly available in the electronic medical record (EMR) (chest radiograph, age, sex, and whether currently smoking). Design: Risk prediction study. Setting: U.S. lung cancer screening trials. Participants: The CXR-LC model was developed in the PLCO (Prostate, Lung, Colorectal, and Ovarian) Cancer Screening Trial (n = 41 856). The final CXR-LC model was validated in additional PLCO smokers (n = 5615, 12-year follow-up) and NLST (National Lung Screening Trial) heavy smokers (n = 5493, 6-year follow-up). Results are reported for validation data sets only. Measurements: Up to 12-year lung cancer incidence predicted by CXR-LC. Results: The CXR-LC model had better discrimination (area under the receiver-operating characteristic curve [AUC]) for incident lung cancer than CMS eligibility (PLCO AUC, 0.755 vs. 0.634; P < 0.001). The CXR-LC model's performance was similar to that of PLCOM2012, a state-of-the-art risk score with 11 inputs, in both the PLCO data set (CXR-LC AUC of 0.755 vs. PLCOM2012 AUC of 0.751) and the NLST data set (0.659 vs. 0.650). When compared in equal-sized screening populations, CXR-LC was more sensitive than CMS eligibility in the PLCO data set (74.9% vs. 63.8%; P = 0.012) and missed 30.7% fewer incident lung cancers. On decision curve analysis, CXR-LC had higher net benefit than CMS eligibility and similar benefit to PLCOM2012. Limitation: Validation in lung cancer screening trials and not a clinical setting. Conclusion: The CXR-LC model identified smokers at high risk for incident lung cancer, beyond CMS eligibility and using information commonly available in the EMR. Primary Funding Source: None.

The Collision of COVID-19 and the U.S. Health System

Qualitative Assessment of Rapid System Transformation to Primary Care Video Visits at an Academic Medical Center

Background: The coronavirus disease 2019 pandemic spurred health systems across the world to quickly shift from in-person visits to safer video visits. Objective: To seek stakeholder perspectives on video visits' acceptability and effect 3 weeks after near-total transition to video visits. Design: Semistructured qualitative interviews. Setting: 6 Stanford general primary care and express care clinics at 6 northern California sites, with 81 providers, 123 staff, and 97 614 patient visits in 2019. Participants: 53 program participants (overlapping roles as medical providers [n = 20], medical assistants [n = 16], nurses [n = 4], technologists [n = 4], and administrators [n = 13]) were interviewed about video visit transition and challenges. Intervention: In 3 weeks, express care and primary care video visits increased from less than 10% to greater than 80% and from less than 10% to greater than 75%, respectively. New video visit providers received video visit training and care quality feedback. New system workflows were created to accommodate the new visit method. Measurements: 9 faculty, trained in qualitative research methods, conducted 53 stakeholder interviews in 4 days using purposeful (administrators and technologists) and convenience (medical assistant, nurses, and providers) sampling. A rapid qualitative analytic approach for thematic analysis was used. Results: The analysis revealed 12 themes, including Pandemic as Catalyst; Joy in Medicine; Safety in Medicine; Slipping Through the Cracks; My Role, Redefined; and The New Normal. Themes were analyzed using the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework to identify critical issues for continued program utilization. Limitations: Evaluation was done immediately after deployment. Although viewpoints may have evolved later, immediate evaluation allowed for prompt program changes and identified broader issues to address for program sustainability. Conclusion: After pandemic-related systems transformation at Stanford, critical issues to sustain video visit long-term viability were identified. Specifically, technology ease of use must improve and support multiparty videoconferencing. Providers should be able to care for their patients, regardless of geography. Providers need decision-making support with virtual examination training and home-based patient diagnostics. Finally, ongoing video visit reimbursement should be commensurate with value to the patients' health and well-being. Primary Funding Source: Stanford Department of Medicine and Stanford Health Care.