Family Medicine Commons^™

Adolescent Hiv Pre-Exposure Prophylaxis Prescribing Practices Among Family Medicine Physicians: Limited Immediate Uptake, Emma T. Cooper, Steven A. Elsesser, Md, Amy Cunningham, Phd, Mph, Marshal Miller, Md

Phase 1

Introduction: In the United States, individuals aged 13-24 made up 21% of new HIV infections in 2016. In 2018, the FDA approved tenofovir/emtricitabine as HIV pre-exposure prophylaxis (PrEP) for adolescents aged 15-17. In 2019, we examined adolescent PrEP prescribing practices among family medicine physicians at an academic family medicine practice.

Methods: Physicians were invited to complete an online questionnaire assessing PrEP knowledge, attitudes, and prescribing practices. Differences in PrEP knowledge and attitudes among providers who prescribe PrEP to adolescents versus those who do not were examined using independent samples t-tests.

Results: 50 out of 99 surveys were completed. Respondents were …

The Effect Of Reflection Rounds On Medical Students’ Empathy, Erica Westlake, Jennifer Desantis, Med, Fred Markham, Md

Phase 1

Background: A decline in empathy has been noted in medical students in medical education and training. This decline raises concerns because empathic physician-patient interactions positively impact health outcomes and patient satisfaction. We tested the hypothesis that Reflection Rounds would increase empathy scores of third-year medical students.

Methods: Third-year students entering their Family and Community Medicine (FCM) clerkship completed the Jefferson Physician Scale of Empathy – Student Version (JPSE-S) at the onset of their clerkship; students at the Jefferson Campus site were assigned to the experimental group and students at Affiliate Sites were assigned to the control group. The experimental group …

Training The Next Generation Of Family Medicine Providers Through Group Buprenorphine-Naloxone Visits, Krystina Callahan, Lara Weinstein, Md, Erica Li, Md, Sunny Lai, Md, Alexis Silverio

Phase 1

Introduction: The rise in opioid use disorders (OUD) and fatal overdoses highlight the need to expand access to and capacity for treating OUD. Medication Assisted Treatment (MAT), a medication/group visit model, done in the office setting, is an effective remedy for treating OUD. Understanding residents’ perspectives on their clinical training in MAT can inform the design of a more effective and responsive curriculum.

Methods: A qualitative study using group semi-structured interviews with residents in an urban family medicine residency rotating through a federally qualified health center. Interviews centered on strengths and weaknesses of the MAT program, resident likeliness to …

Primary Care Obstructive Sleep Apnea Screening (Pcosa), Alyssa Givens, Risa Goldberg, Cynthia Cheng, Md, Phd

Phase 1

Introduction: Obstructive sleep apnea (OSA) is a largely underdiagnosed disorder of upper airway collapse during sleep. Primary care providers do not routinely screen for OSA. This project aims to determine the yield of using the STOP-BANG questionnaire to identify previously undiagnosed OSA in a primary care population.

Methods: This prospective quality improvement pilot project included 181 patients of the Jefferson Department of Family Medicine identified as high-risk for OSA based on 3 EMR-based search criteria taken from STOP-BANG: hypertension, age >50 years, and BMI >35 kg/m². We attempted contact with patients by mail, followed by up to …

Identifying The Prevalence Of Underdiagnosed Obstructive Sleep Apnea (Osa) In The Primary Care Population Via Targeted Screening Measures, Risa Goldberg, Alyssa Givens, Cynthia Cheng, Md, Phd

Phase 1

Introduction: Obstructive sleep apnea (OSA) is a condition with detrimental health consequences, yet over 75% of OSA cases remain undiagnosed in the United States. This study aimed to determine the efficacy of using targeted screening measures to determine the prevalence of undiagnosed OSA in a primary care population.

Methods: This prospective pilot study utilized a primary care population from Thomas Jefferson University’s family medicine department. Participants were selected using three risk criteria for OSA from STOP-BANG identifiable from their EMR records (BMI >35, age over 50, and hypertension). After screening out patients previously diagnosed with OSA, patients were called and …