Dataset Information

Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults.

ABSTRACT: Importance:Data from the coronavirus disease 2019 (COVID-19) pandemic in the US show large differences in hospitalizations and mortality across race and geography. However, there are limited data on health information, beliefs, and behaviors that might indicate different exposure to risk. Objective:To determine the association of sociodemographic characteristics with reported incidence, knowledge, and behavior regarding COVID-19 among US adults. Design, Setting, and Participants:A US national survey study was conducted from March 29 to April 13, 2020, to measure differences in knowledge, beliefs, and behavior about COVID-19. The survey oversampled COVID-19 hotspot areas. The survey was conducted electronically. The criteria for inclusion were age 18 years or older and residence in the US. Data analysis was performed in April 2020. Main Outcomes and Measures:The main outcomes were incidence, knowledge, and behaviors related to COVID-19 as measured by survey response. Results:The survey included 5198 individuals (mean [SD] age, 48 [18] years; 2336 men [45%]; 3759 white [72%], 830 [16%] African American, and 609 [12%] Hispanic). The largest differences in COVID-19-related knowledge and behaviors were associated with race/ethnicity, sex, and age, with African American participants, men, and people younger than 55 years showing less knowledge than other groups. African American respondents were 3.5 percentage points (95% CI, 1.5 to 5.5 percentage points; P?=?.001) more likely than white respondents to report being infected with COVID-19, as were men compared with women (3.2 percentage points; 95% CI, 2.0 to 4.4 percentage points; P?

SUBMITTER: Alsan M

PROVIDER: S-EPMC7303811 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults.

Alsan Marcella M Stantcheva Stefanie S Yang David D Cutler David D

JAMA network open 20200601 6

<h4>Importance</h4>Data from the coronavirus disease 2019 (COVID-19) pandemic in the US show large differences in hospitalizations and mortality across race and geography. However, there are limited data on health information, beliefs, and behaviors that might indicate different exposure to risk.<h4>Objective</h4>To determine the association of sociodemographic characteristics with reported incidence, knowledge, and behavior regarding COVID-19 among US adults.<h4>Design, setting, and participant ...[more]

PMID: 32556260

Similar Datasets

Project description:ImportanceThe coronavirus disease 2019 (COVID-19) pandemic has resulted in severe psychological, social, and economic stress in people's lives. It is not known whether the stress of the pandemic is associated with an increase in the incidence of stress cardiomyopathy.ObjectiveTo determine the incidence and outcomes of stress cardiomyopathy during the COVID-19 pandemic compared with before the pandemic.Design, setting, and participantsThis retrospective cohort study at cardiac catheterization laboratories with primary percutaneous coronary intervention capability at 2 hospitals in the Cleveland Clinic health system in Northeast Ohio examined the incidence of stress cardiomyopathy (also known as Takotsubo syndrome) in patients presenting with acute coronary syndrome who underwent coronary arteriography. Patients presenting during the COVID-19 pandemic, between March 1 and April 30, 2020, were compared with 4 control groups of patients with acute coronary syndrome presenting prior to the pandemic across 4 distinct timelines: March to April 2018, January to February 2019, March to April 2019, and January to February 2020. Data were analyzed in May 2020.ExposuresPatients were divided into 5 groups based on the date of their clinical presentation in relation to the COVID-19 pandemic.Main outcomes and measuresIncidence of stress cardiomyopathy.ResultsAmong 1914 patient presenting with acute coronary syndrome, 1656 patients (median [interquartile range] age, 67 [59-74]; 1094 [66.1%] men) presented during the pre-COVID-19 period (390 patients in March-April 2018, 309 patients in January-February 2019, 679 patients in March-April 2019, and 278 patients in January-February 2020), and 258 patients (median [interquartile range] age, 67 [57-75]; 175 [67.8%] men) presented during the COVID-19 pandemic period (ie, March-April 2020). There was a significant increase in the incidence of stress cardiomyopathy during the COVID-19 period, with a total of 20 patients with stress cardiomyopathy (incidence proportion, 7.8%), compared with prepandemic timelines, which ranged from 5 to 12 patients with stress cardiomyopathy (incidence proportion range, 1.5%-1.8%). The rate ratio comparing the COVID-19 pandemic period to the combined prepandemic period was 4.58 (95% CI, 4.11-5.11; P < .001). All patients during the COVID-19 pandemic had negative reverse transcription-polymerase chain reaction test results for COVID-19. Patients with stress cardiomyopathy during the COVID-19 pandemic had a longer median (interquartile range) hospital length of stay compared with those hospitalized in the prepandemic period (COVID-19 period: 8 [6-9] days; March-April 2018: 4 [3-4] days; January-February 2019: 5 [3-6] days; March-April 2019: 4 [4-8] days; January-February: 5 [4-5] days; P = .006). There were no significant differences between the COVID-19 period and the overall pre-COVID-19 period in mortality (1 patient [5.0%] vs 1 patient [3.6%], respectively; P = .81) or 30-day rehospitalization (4 patients [22.2%] vs 6 patients [21.4%], respectively; P = .90).Conclusions and relevanceThis study found that there was a significant increase in the incidence of stress cardiomyopathy during the COVID-19 pandemic when compared with prepandemic periods.

Project description:ImportanceThe coronavirus disease 2019 (COVID-19) pandemic required the rapid transition to telehealth with the aim of providing patients with medical access and supporting clinicians while abiding by the stay-at-home orders.ObjectiveTo assess demographic and socioeconomic factors associated with patient participation in telehealth during the COVID-19 pandemic.Design, setting, and participantsThis cohort study included all pediatric and adult patient encounters at the Department of Otolaryngology-Head & Neck Surgery in a tertiary care, academic, multisubspecialty, multisite practice located in an early hot spot for the COVID-19 pandemic from March 17 to May 1, 2020. Encounters included completed synchronous virtual, telephone, and in-person visits as well as visit no-shows.Main outcomes and measuresPatient demographic characteristics, insurance status, and 2010 Census block level data as a proxy for socioeconomic status were extracted. Univariate and multivariate logistic regression models were created for patient-level comparisons.ResultsOf the 1162 patients (604 females [52.0%]; median age, 55 [range, 0-97] years) included, 990 completed visits; of these, 437 (44.1%) completed a virtual visit. After multivariate adjustment, females (odds ratio [OR], 1.71; 95% CI, 1.11-2.63) and patients with preferred provider organization insurance (OR, 2.70; 95% CI, 1.40-5.20) were more likely to complete a virtual visit compared with a telephone visit. Increasing age (OR per year, 0.98; 95% CI, 0.98-0.99) and being in the lowest median household income quartile (OR, 0.60; 95% CI, 0.42-0.86) were associated with lower odds of completing a virtual visit overall. Those patients within the second (OR, 0.53; 95% CI, 0.28-0.99) and lowest (OR, 0.33; 95% CI, 0.17-0.62) quartiles of median household income by census block and those with Medicaid, no insurance, or other public insurance (OR, 0.47; 95% CI, 0.23-0.94) were more likely to complete a telephone visit. Finally, being within the lower 2 quartiles of proportion being married (OR for third quartile, 0.49 [95% CI, 0.29-0.86]; OR for lowest quartile, 0.39 [95% CI, 0.23-0.67]) was associated with higher likelihood of a no-show visit.Conclusions and relevanceThese findings suggest that age, sex, median household income, insurance status, and marital status are associated with patient participation in telehealth. These findings identify vulnerable patient populations who may not engage with telehealth, yet still require medical care in a changing health care delivery landscape.

Dataset Information

Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults.

Publications

Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets