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1.
Preprint en Inglés | medRxiv | ID: ppmedrxiv-22275420

RESUMEN

Recent studies have investigated post-acute sequelae of SARS-CoV-2 infection (PASC) using real-world patient data such as electronic health records (EHR). Prior studies have typically been conducted on patient cohorts with small sample sizes1 or specific patient populations2,3 limiting generalizability. This study aims to characterize PASC using the EHR data warehouses from two large national patient-centered clinical research networks (PCORnet), INSIGHT and OneFlorida+, which include 11 million patients in New York City (NYC) and 16.8 million patients in Florida respectively. With a high-throughput causal inference pipeline using high-dimensional inverse propensity score adjustment, we identified a broad list of diagnoses and medications with significantly higher incidence 30-180 days after the laboratory-confirmed SARS-CoV-2 infection compared to non-infected patients. We found more PASC diagnoses and a higher risk of PASC in NYC than in Florida, which highlights the heterogeneity of PASC in different populations.

2.
Preprint en Inglés | medRxiv | ID: ppmedrxiv-21252457

RESUMEN

IntroductionEarly COVID-19 vaccine acceptance rates suggest that up to one-third of HCWs may be vaccine-hesitant. However, it is unclear whether hesitancy among HCWs has improved with time and if there are temporal changes whether these differ by healthcare worker role. MethodsIn October 2020, a brief survey was sent to all participants in the Healthcare Worker Exposure Response and Outcomes (HERO) Registry with a yes/no question regarding vaccination under emergency use authorization (EUA): "If an FDA emergency use-approved vaccine to prevent coronavirus/COVID-19 was available right now at no cost, would you agree to be vaccinated?" The poll was repeated in December 2020, with the same question sent to all registry participants. Willingness was defined as a "Yes" response, and hesitancy was defined as a "No" response. Participants were stratified into clinical care roles. Baseline demographics of survey respondents at each timepoint were compared using appropriate univariate statistics (chi-squared and t-tests). Analyses were descriptive, with frequencies and percentages reported for each category. ResultsOf 4882 HERO active registry participants during September 1 - October 31, 2020, 2070 (42.4%) completed the October survey, and n=1541 (31.6%) completed the December survey. 70.2% and 67.7% who were in clinical care roles, respectively. In October, 54.2% of HCWs in clinical roles said they would take an EUA-approved vaccine, which increased to 76.2% in December. The largest gain in vaccine willingness was observed among physicians, 64.0% of whom said they would take a vaccine in October, compared with 90.5% in December. Nurses were the least likely to report that they would take a vaccine in both October (46.6%) and December (66.9%). We saw no statistically significant differences in age, race/ethnicity, gender, or medical role between time points. When restricting to the 998 participants who participated at both time points, 69% were vaccine-willing at both time points; 15% were hesitant at both time points, 13% who were hesitant in October were willing in December; and 2.9% who were willing in October were hesitant in December. ConclusionsIn a set of cross-sectional surveys of vaccine acceptance among healthcare workers, willingness improved substantially over 2 calendar months during which the US had a presidential election and two vaccine manufacturers released top-line Phase 3 trial results. While improved willingness was observed in all role categories, nurses reported the most vaccine hesitancy at both time points.

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