Goal: Administrative burden is one of many potential root causes of physician burnout. Scribe documentation assistance can reduce this burden. However, traditional in-person scribe services are challenged by consistent staffing because the model requires the physical presence of a scribe and limits the team to a single individual. In addition, in-person scribes cannot provide the flexible support required for virtual care encounters, which can now pivot geographically and temporally. To respond to these challenges, our health network implemented an asynchronous virtual scribe model and evaluated the program's impact on clinician perceptions of burnout across multiple outpatient specialties. Methods: Using a mixed-methods, pre-/postdesign, this evaluation measured the impact of an asynchronous virtual scribe program on physician burnout. Physicians were given the Professional Fulfillment Index tool (to self-assess their mental state) and free-text comment surveys before virtual scribe initiation and again at 3-, 6-, and 12-month intervals after program implementation. Descriptive statistics of survey results and qualitative review of free-text entries were analyzed for themes of facilitation and barriers to virtual scribe use. Principal Findings: Of 50 physician participants in this study, 42 (84%) completed the preintervention survey and 15 (36%) completed all 4 surveys; 25 participants (50%) discontinued scribe use after 12 months. Burnout levels—as defined by dread, exhaustion, lack of enthusiasm, decrease in empathy, and decrease in colleague connection—all trended toward improvement during this study. Importantly, quality, time savings, burnout, and productivity moved in positive directions as well. Practical Application: The cost burden to physicians and the COVID-19 pandemic inhibited the continued use of asynchronous virtual medical scribes. Nevertheless, those who continued in the program have reported positive outcomes, which indicates that the service can be a viable and effective tool to reduce physician burnout.
IntroductionThis study investigated factors that influence emergency medicine (EM) patients’ decisions to participate in clinical trials and whether the impact of these factors differs from those of other medical specialties.MethodsA survey was distributed in EM, family medicine (FM), infectious disease (ID), and obstetrics/gynecology (OB/GYN) outpatient waiting areas. Eligibility criteria included those who were 18 years of age or older, active patients on the day of the survey, and able to complete the survey without assistance. We used the Kruskal-Wallis test and ordinal logistic regression analyses to identify differences in participants’ responses.ResultsA total of 2,893 eligible subjects were approached, and we included 1,841 surveys in the final analysis. Statistically significant differences (p≤0.009) were found for eight of the ten motivating factors between EM and one or more of the other specialties. Regardless of a patient’s gender, race, and education, the relationship with their doctor was more motivating to patients seen in other specialties than to EM patients (FM [odds ratio {OR}:1.752, 95% confidence interval {CI}{1.285–2.389}], ID [OR:3.281, 95% CI{2.293–4.695}], and OB/GYN [OR:2.408, 95% CI{1.741–3.330}]). EM’s rankings of “how well the research was explained” and whether “the knowledge learned would benefit others” as their top two motivating factors were similar across other specialties. All nine barriers showed statistically significant differences (p≤0.008) between EM and one or more other specialties. Participants from all specialties indicated “risk of unknown side effects” as their strongest barrier. Regardless of the patients’ race, “time commitment” was considered to be more of a barrier to other specialties when compared to EM (FM [OR:1.613, 95% CI{1.218–2.136}], ID [OR:1.340, 95% CI{1.006–1.784}], or OB/GYN [OR:1.901, 95% CI{1.431–2.526}]). Among the six resources assessed that help patients decide whether to participate in a clinical trial, only one scored statistically significantly different for EM (p<0.001). EM patients ranked “having all material provided in my own language” as the most helpful resource.ConclusionThere are significant differences between EM patients and those of other specialties in the factors that influence their participation in clinical trials. Providing material in the patient’s own language, explaining the study well, and elucidating how their participation might benefit others in the future may help to improve enrollment in EM-based clinical trials.
Racial differences exist not only between Caucasians and Minorities for the factors associated with their clinical trial participation, but also among different minority races themselves. To promote diversity in research, recruitment strategies for each individual race should be customized based on what matters to the target population.
Diabetes and prediabetes are increasing in prevalence, corresponding to epidemic rates of obesity. Hispanic adults with prediabetes are 1.7 times more likely than non-Hispanic whites to progress to diabetes. We set out to understand health beliefs of Hispanic adults and, with that knowledge, facilitate tailored messaging to promote patient activation and lifestyle change. Using the Risk Perception Survey for Developing Diabetes along with demographic and lifestyle intervention interest questions, a 34-question survey was mailed to a registry of Hispanic adults with a diagnosis of prediabetes and an HbA1c between 5.7 and 6.4% (N = 414). Despite more than three-quarters of respondents (n = 92; 77%) indicating they had prior knowledge of their diagnosis, overall diabetes risk knowledge was low. A significant difference in diabetes risk knowledge was found between groups stratified by education level. High scores in personal control and worry were reported. Respondents overwhelmingly reported interest in exercise (n = 92; 77%) and healthy eating interventions (n = 60; 50%) over technology-based interventions. High levels of worry and personal control, combined with low to intermediate levels of risk knowledge, indicate an opportunity for education and activation in this community. Healthy eating and exercise programs are possible interventions that may slow the progression from prediabetes to diabetes.
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