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Background: With increasing prevalence of opioid use disorders (OUDs) there is an urgent need for OUD trained front line primary care providers (PCPs) who can help improve patient adherence to addiction treatment. Unfortunately, most physicians have had limited training for treating patients with addiction, leaving clinicians under prepared. To address this need, we created a Medication-Assisted Treatment (MAT) training program specifically designed for PCPs., Intervention: A 4-hour PCP focused buprenorphine office-based implementation training was designed to supplement the 8-hour SAMHSA DATA 2000 waiver training. The intent of the supplemental training is to increase PCP likelihood of implementing MAT through practical evidenced-based implementation, addressing barriers reported by waivered PCPs., Methods: We developed and validated a new pre- and postsurvey instrument that assesses changes in participants knowledge, skills, and attitudes. Data were entered into REDCap, and composite scales were created and analyzed to determine pre-post differences., Results: A total of 183 participants completed pre-post evaluations. Pre-post comparisons indicated substantial improvement in learner levels of confidence in implementing MAT care processes and in their interactions with MAT patients (df = 4, F = 203.518, P < .001). Participants described themselves as more comfortable identifying patients who would benefit from MAT (t = 15.04, P < .001), more competent in implementing MAT (t = 21.27, P < .001) and more willing (t = 15.56, P < .001) to implement MAT after training., Conclusion: Evidence suggests that a new MAT training program that supplements the SAMHSA waiver training increases confidence and willingness to implement MAT among PCPs. Efforts to replicate this success to allow for further generalization and policy recommendations are warranted., Competing Interests: Conflict of interest: None., (© Copyright by the American Board of Family Medicine.)

Background: Declining COVID-19 vaccination rates have led to implementation of monetary incentives to increase vaccine uptake. The Ohio Vax-a-Million lottery and subsequent $100 incentives were created to encourage individuals to become vaccinated. The purpose of this survey was to determine the efficacy of these monetary incentives on vaccination rates., Methods: A 38-item questionnaire was given to outpatients at MetroHealth and Cleveland Veteran Affairs Hospitals between August 2021 and February 2022 who either waited 2 or more months to receive the COVID-19 vaccination or have not yet been vaccinated. The survey contained questions regarding demographics and perceptions of COVID-19 monetary incentives on vaccination likelihood., Results: Of the 471 participants surveyed, 0.95% reported that the Ohio Vax-a-Million lottery increased their vaccination likelihood, while 29.7% reported that it decreased their likelihood. 6.8% of respondents reported the $100 incentive increased their vaccination likelihood while 17.4% reported it decreased their vaccination chances. 20.6% of participants stated news of the Delta (δ) variant increased their vaccination likelihood., Conclusion: Our study results suggest that monetary incentives were not associated with increased COVID-19 vaccination rates. Instead, more participants believed that these incentives decreased their vaccination likelihood. Expansion of the survey across a wider sociodemographic range can provide further evidence of the efficacy of these programs before reimplementation., Competing Interests: The authors have no conflicts of interest to declare., (© Copyright by the American Board of Family Medicine.)

Background: Severe acute respiratory syndrome coronavirus (SARS-CoV-2) and the associated coronavirus disease of 2019 (COVID-19) have presented immense challenges for health care systems. Many regions have struggled to adapt to disruptions to health care practice and use systems that effectively manage the demand for services., Methods: This was a cohort study using electronic health records at a health care system in northeast Ohio that examined the effectiveness of the first 5 weeks of a 24/7 physician-staffed COVID-19 hotline including social care referrals for patients required to self-isolate. We describe clinical diagnosis, patient characteristics (age, sex race/ethnicity, smoking status, insurance status), and visit disposition. We use logistic regression to evaluate associations between patient characteristics, visit disposition and subsequent emergency department use, hospitalization, and SARS-Cov-2 PCR testing., Participants: In 5 weeks, 10,112 patients called the hotline (callers). Of these, 4213 (42%) were referred for a physician telehealth visit (telehealth patients). Mean age of callers was 42 years; 67% were female, 51% white, and 46% were on Medicaid/uninsured., Results: Common caller concerns included cough, fever, and shortness of breath. Most telehealth patients (79%) were advised to self-isolate at home, 14% were determined to be unlikely to have COVID-19, 3% were advised to seek emergency care, and 4% had miscellaneous other dispositions. A total of 287 patients (7%) had a subsequent emergency department visit, and 44 (1%) were hospitalized with a COVID-19 diagnosis. Of the callers, 482 (5%) had a COVID-19 test reported, with 69 (14%) testing positive. Among patients advised to stay at home, 83% had no further face-to-face visits. In multivariable results, only a physician recommendation to seek emergency care was associated with emergency department use (odds ratio = 4.73, 95% confidence interval = 1.37-16.39, P = .014). Only older age was associated with having a positive test result. Patients with social needs and interest in receiving help were offered services to meet their needs including food deliveries (n = 92), behavioral health telephone visits (n = 49), and faith-based comfort calls from pastoral care personnel (n = 37)., Conclusions and Relevance: Robust, physician-directed telehealth services can meet a wide range of clinical and social needs during the acute phase of a pandemic, conserving scarce resources such as personal protective equipment and testing supplies and preventing the spread of infections to patients and health care workers., (© Copyright 2021 by the American Board of Family Medicine.)