This commentary offers the reader an alternative to mentoring through the use of PODCASTS. By providing the listener with an understanding of the challenges and opportunities for self-reflection and sharing of experiences by the interviewees, we are impacting the listener attitudes and future goals through lessons learned.
Characterization of Nonphysician Health Care Workers’ Burnout and Subsequent Changes in Work Effort
This analysis tested the hypothesis that current e-cigarette use was associated with an increased risk of SARS-CoV-2 infection in patients seeking medical care. E-cigarette and conventional cigarette use were ascertained using a novel electronic health record tool, and COVID-19 diagnosis was ascertained by a validated institutional registry. Logistic regression models were fit to assess whether current e-cigarette use was associated with an increased risk of COVID-19 diagnosis. A total of 69,264 patients who were over the age of 12 years, smoked cigarettes or vaped, and were sought medical care at Mayo Clinic between September 15, 2019 and November 30, 2020 were included. The average age was 51.5 years, 62.1% were females and 86.3% were white; 11.1% were currently smoking cigarettes or using e-cigarettes and 5.1% tested positive for SARS-CoV-2. Patients who used only e-cigarettes were not more likely to have a COVID-19 diagnosis (OR 0.93 [0.69-1.25], P = .628), whereas those who used only cigarettes had a decreased risk (OR 0.43 [0.35-0.53], P < .001). The OR for dual users fell between these 2 values (OR 0.67 [0.49-0.92], P = .013). Although e-cigarettes have the well-documented potential for harm, they do not appear to increase susceptibility to SARS-CoV-2 infection. This result suggests the hypothesis that any beneficial effects of conventional cigarette smoking on susceptibility are not mediated by nicotine.
Improved Documentation of Electronic Cigarette Use in an Electronic Health Record
The use of electronic cigarettes (e-cigarettes) can affect patient health and clinical care. However, the current documentation of e-cigarette use in the electronic health records (EHR) is inconsistent. This report outlines how the ambulatory clinical practices of a large U.S. hospital system optimized its electronic health records (EHR) framework to better record e-cigarettes used by patients. The new EHR section for e-cigarette information was implemented for outpatient appointments. During a 30-week evaluation period post-implementation, 638,804 patients (12 yrs and older) completed ambulatory appointments within the health system; of these, the new section contained e-cigarette use information for 37,906 (6%) patients. Among these patients, 1005 (2.7%) were identified as current e-cigarette users (current every day or current some day e-cigarette use), 941 (2.5%) were reported as former e-cigarette users, and 35,960 (94%) had never used e-cigarettes. A separate EHR section to document e-cigarette use is feasible within existing clinical practice models. Utilization of the new section was modest in routine clinical practice, indicating the need for more intensive implementation strategies that emphasize the health effects of e-cigarette use, and how consistent ascertainment could improve clinical practice.
Design and Pilot Implementation of an Electronic Health Record-Based System to Automatically Refer Cancer Patients to Tobacco Use Treatment
Abstract BACKGROUND: Previous work has demonstrated that smokers have higher white blood cell counts than nonsmokers, but the effect of biochemically-confirmed smoking cessation on peripheral leukocyte counts has not been demonstrated in a large prospective study. METHODS: Subjects were healthy smokers enrolled in a trial of sustained-release bupropion for relapse prevention after smoking cessation. White blood cell (WBC) counts and absolute neutrophil counts (ANC) were measured at baseline, week 7 and week 52. Smoking status was assessed at weeks 7 and 52 by self-report and biochemically confirmed with expired air carbon monoxide levels. Multivariate analyses compared changes in WBC count and ANC between smokers who did and did not stop smoking, adjusting for treatment group, age, sex, and body mass index. RESULTS: Of 784 smokers enrolled, 461 had biochemically-confirmed tobacco abstinence after 7 weeks of bupropion; 429 were randomly assigned to receive continued bupropion or placebo until week 52. At baseline, the mean WBC count was 8.4 x 109/L (SD ±2.3) and the mean ANC was 5.3 x 109/L (SD ±1.9). The baseline WBC count and ANC were higher in smokers with greater tobacco exposure, measured by daily cigarette consumption and serum cotinine level. Between baseline and week 7, there was a significantly larger decrease in WBC count in continuously abstinent subjects compared with continuing smokers (adjusted p =.031). At 52 weeks, biochemically-confirmed continuously abstinent subjects, as compared with continuing smokers, had a greater decline from baseline in WBC count (1.2 x 109/L versus 0.1 x 109/L, p<0.001) and ANC (0.1 x 109/L versus 0.2 x 109/L, p<0.001). CONCLUSION: The WBC count and ANC of healthy smokers increase with increasing tobacco exposure. Biochemically-confirmed tobacco abstinence leads to a rapid and sustained decrease in WBC count and ANC, possibly reflecting a decrease in an underlying state of tobacco-induced inflammation.
The number of global tobacco-related deaths is projected to increase from about 6 million to 8 million annually by 2030, with more than 80% of these occurring in low- and middle-income countries (LMICs). The World Health Organization Framework Convention on Tobacco Control (FCTC) came into force in 2005 and Article 14 relates specifically to the treatment of tobacco dependence. However, LMICs, in particular, face several barriers to implementing tobacco dependence treatment. This paper is a descriptive evaluation of a novel grant funding mechanism that was initiated in 2014 to address these barriers. Global Bridges. Healthcare Alliance for Tobacco Dependence Treatment aims to create and mobilize a global network of healthcare professionals and organizations dedicated to advancing evidence-based tobacco dependence treatment and advocating for effective tobacco control policy. A 2014 request for proposals (RFP) focused on these goals, particularly in LMICs, where funding for this work had been previously unavailable. 19 grants were awarded by Global Bridges to organizations in low- and middle-income countries across all six WHO regions. Virtually all focused on developing a tobacco dependence treatment curriculum for healthcare providers, while also influencing the political environment for Article 14 implementation. As a direct result of these projects, close to 9,000 healthcare providers have been trained in tobacco dependence treatment and an estimated 150,000 patients have been offered treatment. Because most of these projects are designed with a “train-the-trainer” component, two years of grant funding has been a tremendous catalyst for accelerating change in tobacco dependence treatment practices throughout the world. In order to foster such exponential growth and continue to maintain the impact of these projects, ongoing financial, educational, and professional commitments are required.