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Objective: Patients with autoimmune disease (AD) are at increased risk for complications from COVID-19 infection, so, optimizing vaccine utilization in this population is of particular importance. We compared COVID-19 vaccination perspectives among persons with and without AD., Methods: 471 patients in the MetroHealth System and Cleveland Veteran Affairs Medical Center completed a 38-item questionnaire between August 2021 and February 2022. This survey containing questions regarding COVID-19 vaccine perceptions and demographics was administered both to unvaccinated individuals and individuals who delayed vaccination for at least 2 months. Multivariable ordinary least squares regression models were created to assess factors associated with vaccination likelihood., Results: The number of reasons given for (p < 0.001) and against receiving COVID-19 vaccination (p < 0.001) were highly associated with increased and decreased vaccination likelihood respectively. Factors most closely associated with obtaining vaccine were: protecting family (p = 0.045) personal safety (p < 0.001) and preventing serious infection (p < 0.001). Reasons associated with decreased vaccination likelihood were: lack of concern of COVID-19 infection (p < 0.001), vaccine safety (p < 0.001) and beliefs that the vaccine was made too quickly (p = 0.024). AD patients were more likely to cite having a chronic condition (29.1 % vs 17.1 %, p = 0.003) and physician recommendation(s) (18.4 % vs 9.1 %, p = 0.005) as reasons for vaccination and were more concerned about potential medication interaction than non-AD respondents (22.4 % vs 3.3 %, p < 0.001)., Conclusion: The number of benefits of vaccination identified strongly related to vaccination likelihood. Affirmative provider recommendations correlated with increased vaccination likelihood in AD patients. Clinical conversations centered on the benefits of COVID-19 vaccination may help increase vaccine acceptance., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier India Pvt Ltd. All rights reserved.)

Introduction: The objective of this study was to characterize population-level trajectories in the probability of food insecurity in the US during the first year of the COVID-19 pandemic and to examine sociodemographic correlates associated with identified trajectories., Methods: We analyzed data from the Understanding America Study survey, a nationally representative panel (N = 7,944) that assessed food insecurity every 2 weeks from April 1, 2020, through March 16, 2021. We used latent class growth analysis to determine patterns (or classes) of pandemic-related food insecurity during a 1-year period., Results: We found 10 classes of trajectories of food insecurity, including 1 class of consistent food security (64.7%), 1 class of consistent food insecurity (3.4%), 5 classes of decreasing food insecurity (15.8%), 2 classes of increasing food insecurity (4.6%), and 1 class of stable but elevated food insecurity (11.6%). Relative to the class that remained food secure, other classes were younger, had a greater proportion of women, and tended to identify with a racial or ethnic minority group., Conclusion: We found heterogeneous longitudinal patterns in the development, resolution, or persistence of food insecurity during the first year of the COVID-19 pandemic. Experiences of food insecurity were highly variable across the US population, with one-third experiencing some form of food insecurity risk. Findings have implications for identifying population groups who are at increased risk of food insecurity and related health disparities beyond the first year of the pandemic.

Background: Social and ecological differences in early SARS-CoV-2 pandemic screening and outcomes have been documented, but the means by which these differences have arisen are not well understood., Objective: To characterize socioeconomic and chronic disease-related mechanisms underlying these differences., Design: Observational cohort study., Setting: Outpatient and emergency care., Patients: 12900 Cleveland Clinic Health System patients referred for SARS-CoV-2 testing between March 17 and April 15, 2020., Interventions: Nasopharyngeal PCR test for SARS-CoV-2 infection., Measurements: Test location (emergency department, ED, vs. outpatient care), COVID-19 symptoms, test positivity and hospitalization among positive cases., Results: We identified six classes of symptoms, ranging in test positivity from 3.4% to 23%. Non-Hispanic Black race/ethnicity was disproportionately represented in the group with highest positivity rates. Non-Hispanic Black patients ranged from 1.81 [95% confidence interval: 0.91-3.59] times (at age 20) to 2.37 [1.54-3.65] times (at age 80) more likely to test positive for the SARS-CoV-2 virus than non-Hispanic White patients, while test positivity was not significantly different across the neighborhood income spectrum. Testing in the emergency department (OR: 5.4 [3.9, 7.5]) and cardiovascular disease (OR: 2.5 [1.7, 3.8]) were related to increased risk of hospitalization among the 1247 patients who tested positive., Limitations: Constraints on availability of test kits forced providers to selectively test for SARS-Cov-2., Conclusion: Non-Hispanic Black patients and patients from low-income neighborhoods tended toward more severe and prolonged symptom profiles and increased comorbidity burden. These factors were associated with higher rates of testing in the ED. Non-Hispanic Black patients also had higher test positivity rates., Competing Interests: The authors have declared that no competing interests exist.

Background: Severe acute respiratory syndrome coronavirus (SARS-CoV-2) and the associated coronavirus disease of 2019 (COVID-19) have presented immense challenges for health care systems. Many regions have struggled to adapt to disruptions to health care practice and use systems that effectively manage the demand for services., Methods: This was a cohort study using electronic health records at a health care system in northeast Ohio that examined the effectiveness of the first 5 weeks of a 24/7 physician-staffed COVID-19 hotline including social care referrals for patients required to self-isolate. We describe clinical diagnosis, patient characteristics (age, sex race/ethnicity, smoking status, insurance status), and visit disposition. We use logistic regression to evaluate associations between patient characteristics, visit disposition and subsequent emergency department use, hospitalization, and SARS-Cov-2 PCR testing., Participants: In 5 weeks, 10,112 patients called the hotline (callers). Of these, 4213 (42%) were referred for a physician telehealth visit (telehealth patients). Mean age of callers was 42 years; 67% were female, 51% white, and 46% were on Medicaid/uninsured., Results: Common caller concerns included cough, fever, and shortness of breath. Most telehealth patients (79%) were advised to self-isolate at home, 14% were determined to be unlikely to have COVID-19, 3% were advised to seek emergency care, and 4% had miscellaneous other dispositions. A total of 287 patients (7%) had a subsequent emergency department visit, and 44 (1%) were hospitalized with a COVID-19 diagnosis. Of the callers, 482 (5%) had a COVID-19 test reported, with 69 (14%) testing positive. Among patients advised to stay at home, 83% had no further face-to-face visits. In multivariable results, only a physician recommendation to seek emergency care was associated with emergency department use (odds ratio = 4.73, 95% confidence interval = 1.37-16.39, P = .014). Only older age was associated with having a positive test result. Patients with social needs and interest in receiving help were offered services to meet their needs including food deliveries (n = 92), behavioral health telephone visits (n = 49), and faith-based comfort calls from pastoral care personnel (n = 37)., Conclusions and Relevance: Robust, physician-directed telehealth services can meet a wide range of clinical and social needs during the acute phase of a pandemic, conserving scarce resources such as personal protective equipment and testing supplies and preventing the spread of infections to patients and health care workers., (© Copyright 2021 by the American Board of Family Medicine.)