Purpose:The purpose of this study was to compare medical residents and practicing physicians in primary care specialties regarding their knowledge and beliefs about electronic cigarettes (e-cigarettes). We wanted to ascertain whether years removed from medical school had an effect on screening practices, recommendations given to patients, and the types of informational sources utilized.Methods:A statewide sample of Florida primary care medical residents (n = 61) and practicing physicians (n = 53) completed either an online or paper survey, measuring patient screening and physician recommendations, beliefs, and knowledge related to e-cigarettes. χ2 tests of association and linear and logistic regression models were used to assess the differences within- and between-participant groups.Results:Practicing physicians were more likely than medical residents to believe e-cigarettes lower cancer risk in patients who use them as an alternative to cigarettes (P = .0003). Medical residents were more likely to receive information about e-cigarettes from colleagues (P = .0001). No statistically significant differences were observed related to e-cigarette knowledge or patient recommendations.Conclusions:Practicing primary care physicians are accepting both the benefits and costs associated with e-cigarettes, while medical residents in primary care are more reticent. Targeted education concerning the potential health risks and benefits associated with the use of e-cigarettes needs to be included in the current medical education curriculum and medical provider training to improve provider confidence in discussing issues surrounding the use of this product.
Introduction Racial and ethnic disparities in COVID-19 related infections, hospitalizations, and deaths have been well-documented. However, little research has examined racial and ethnic disparities in COVID-19 prevalence, determinants, and impacts among pregnant women. Within the United States, New Jersey was an early epicenter of the pandemic and experienced high rates of disease in the fall of 2020. Methods This study uses data from two New Jersey hospitals, which implemented universal testing of COVID-19 of pregnant women admitted for labor and delivery starting in March 2020. We will estimate prevalence of COVID-19 between March 2020 and November 2020 and compare prevalence rates across race and ethnicity. We will conduct multivariable logistic regression analysis to examine the associations of COVID-19 infection with patient demographic and health status predictors. We will also use multivariable linear and logistic regressions to examine the impact of COVID-19 symptomatic and asymptomatic infection on maternal and infant birth outcomes. Discussion This study will generate important policy implications on birth equity in the time of COVID-19 and guide future research studies related to COVID-19 in pregnant women. Results of this study will help to guide interventions and policies to center safe, accessible, and equitable maternity care within the strategic response to the pandemic.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.