A Novel, Mutually Beneficial Student-Faculty Partnership to Develop Real-Time Formative Assessments Aligning with the Preclinical Undergraduate Medical Curriculum.

PROBLEM: A shortage of curriculum-aligned formative multiple-choice questions (FMCQs) remains despite their known learning benefits in preclinical medical education due to limitations on teaching faculty time and other reasons. In response, students often use extramural resources such as commercial or collaborative question banks; however, these options are often expensive and cannot be aligned with the content of each school's unique curriculum. In addition, students need feedback on their learning in a manner that parallels the format of summative assessments. In this pilot, the authors aimed to enhance student learning by creating an intramural formative practice resource that was developed as the curriculum unfolded under the direction of the faculty leading the concurrently running curricular units. APPROACH: The authors developed a workflow known as Professor-Reviewed Exam Practice (PREP) in 2023. PREP partnered preclinical medical students and faculty to create vignette-style, single best response FMCQs with feedback for every lecture and self-guided learning module in multiple preclinical blocks of The Ohio State University College of Medicine undergraduate medical curriculum. OUTCOMES: PREP established a sustainable, student-led, faculty-guided workflow that created high-quality, curriculum-aligned FMCQs for student use in the preclinical medical curriculum over a 14-month period. Usage rates were high across multiple preclinical blocks, reflecting high student demand for FMCQs of this nature and their value as a study aid. Survey data showed faculty agreed that their time commitment and role in the PREP workflow was appropriate. NEXT STEPS: Future work will evaluate the benefits of PREP to students by exploring the potential impact of PREP FMCQs on summative assessment performance and if writing FMCQs confers benefits to PREP team members. Faculty survey indicated that performance data from PREP FMCQs could be used to tailor upcoming teaching and learning methods, which is an area for future inquiry.

Applying National Diabetic Care Standards for the Management of a Hispanic Population Attending a Free Clinic.

BACKGROUND: National quality measures set goals for diabetes management. Hispanic populations are higher risk for diabetes and associated complications, especially low-income communities. Research suggests free clinics provide suboptimal diabetes management. Our quality improvement project aims to improve diabetes management in the Hispanic free clinic population. METHODS: Clínica Latina's volunteer medical students and physicians serve predominantly uninsured Spanish-speaking patients. Established diabetes patients that attended clinic during the study were included. Data was collected regarding patients' diabetes care for two months, then analyzed compared to quality metrics. We implemented paper checklists and electronic medical record (EMR) smart phrases for volunteers to utilize in managing diabetes. RESULTS: 32 patients were included in the study. At baseline, 78% had an A1C check in the past 3 months, 81% were on a statin. In the past year, 81% had a lipid panel, 19% had an eye exam, 63% had a diabetic foot exam, 53% had a urine microalbumin-creatinine screening. After interventions, 97% had an A1C check, 93% were on a statin, 91% had a lipid panel, 31% had an eye exam, 75% had a foot exam, 63% had a urine microalbumin-creatinine. Patients with an LDL < 100 increased from 62 to 66%. The mean A1C did not statistically significantly change. Volunteer smart phrase utilization increased from 37 to 59.1%. CONCLUSION: We implemented a checklist and EMR smart phrase to optimize diabetes management in a student-run Hispanic free clinic, which improved quality metrics. Low-resource clinics serving Spanish-speaking populations may benefit from similar interventions to improve diabetic care.

Defining Risk of Postoperative Obstructive Sleep Apnea in Patients With 22q11.2DS Undergoing Pharyngeal Flap Surgery for Velopharyngeal Dysfunction Using Polysomnographic Evaluation.

OBJECTIVE: To determine pre- and postoperative prevalence of obstructive sleep apnea (OSA) in patients with 22q11.2 deletion syndrome (DS) undergoing wide posterior pharyngeal flap (PPF) surgery for velopharyngeal dysfunction (VPD). DESIGN: Retrospective study using pre- and postoperative polysomnography (PSG) to determine prevalence of OSA. Medical records were reviewed for patients' medical comorbidities. Parents were surveyed about snoring. SETTING: Academic tertiary care pediatric hospital. PATIENTS: Forty patients with laboratory confirmed 22q11.2DS followed over a 6-year period. INTERVENTIONS: Pre- and postoperative PSG, speech evaluation, and parent surveys. MAIN OUTCOME MEASURE: Severity and prevalence of OSA, defined by obstructive apnea hypopnea index (OAHI), before and after PPF surgery to determine whether PPF is associated with increased risk of OSA. RESULTS: Mean OAHI did not change significantly after PPF surgery (1.1/h vs 2.1/h, P = .330). Prevalence of clinically significant OSA (OAHI ≥ 5) was identical pre- and postoperatively (2 of 40), with both cases having severe-range OSA requiring positive airway pressure therapy. All other patients had mild-range OSA. Nasal resonance was graded as severe preoperatively in 85% of patients. None were graded as severe postoperatively. No single patient factor or parent-reported concern predicted risk of OSA (OAHI ≥ 1.5). CONCLUSIONS: Patients with 22q11.2DS are medically complex and are at increased risk of OSA at baseline. Wide PPF surgery for severe VPD does not significantly increase risk of OSA. Careful perioperative planning is essential to optimize both speech and sleep outcomes.

Complete Genome Sequence of Cluster J Mycobacteriophage Superphikiman.

Mycobacteriophage Superphikiman is a cluster J bacteriophage which was isolated from soil collected in Philadelphia, PA. Superphikiman has a 109,799-bp genome with 239 predicted genes, including 2 tRNA genes.