Assessing the Impact of the COVID-19 Pandemic on Geographic Residency Placement Relative to Medical School Location.

BACKGROUND: The 2020-2021 residency application cycle was altered to reduce COVID-19 transmission, with moves to all virtual interviews and no away rotations for medical students. These changes may have affected how students ranked residency programs, such as choosing programs near their medical schools. OBJECTIVE: To determine if a larger percentage of medical students matched to residency programs in the same state as their medical schools in 2021 vs 2018-2020. METHODS: We searched the webpages or emailed student affairs deans of the 155 Liaison Committee on Medical Education accredited MD programs to attain medical school match lists. Differences in the percentage of students matching to residency programs in the same US state as their medical schools in 2021 vs 2018-2020 were compared using chi-square tests. RESULTS: We recorded 36 021 of 79 406 (45%) National Resident Matching Program, 759 of 1720 (44%) ophthalmology, and 586 urology MD residency matches between 2018 and 2021. The percentage of students matching to residency programs in the same state as their medical schools was 35.9% in 2021 versus 34.3% in 2018-2020 (P=.005). Students were more likely to match to programs in the same state as their medical schools in 2021 if they attended a public medical school (40.3% vs 38.5%, P=.009) or applied into specialties where ≥50% of students traditionally perform away rotations (32.2% vs 30.2%, P=.031). CONCLUSIONS: There was a small difference in the percentage of medical students matching to residency programs in the same state as their medical schools in 2021 vs 2018-2020.

Automated Text-Based Symptom Monitoring With Rapid Clinician Triage for Patients With Cancer and Suspected or Confirmed COVID-19.

PURPOSE: Patients with cancer are at greater risk of developing severe symptoms from COVID-19 than the general population. We developed and tested an automated text-based remote symptom-monitoring program to facilitate early detection of worsening symptoms and rapid assessment for patients with cancer and suspected or confirmed COVID-19. METHODS: We conducted a feasibility study of Cancer COVID Watch, an automated COVID-19 symptom-monitoring program with oncology nurse practitioner (NP)-led triage among patients with cancer between April 23 and June 30, 2020. Twenty-six patients with cancer and suspected or confirmed COVID-19 were enrolled. Enrolled patients received twice daily automated text messages over 14 days that asked "How are you feeling compared to 12 hours ago? Better, worse, or the same?" and, if worse, "Is it harder than usual for you to breathe?" Patients who responded worse and yes were contacted within 1 hour by an oncology NP. RESULTS: Mean age of patients was 62.5 years. Seventeen (65%) were female, 10 (38%) Black, and 15 (58%) White. Twenty-five (96%) patients responded to ≥ 1 symptom check-in, and overall response rate was 78%. Four (15%) patients were escalated to the triage line: one was advised to present to the emergency department (ED), and three were managed in the outpatient setting. Median time from escalation to triage call was 11.5 minutes. Four (15%) patients presented to the ED without first escalating their care via our program. Participant satisfaction was high (Net Promoter Score: 100, n = 4). CONCLUSION: Implementation of an intensive remote symptom monitoring and rapid NP triage program for outpatients with cancer and suspected or confirmed COVID-19 infection is possible. Similar tools may facilitate more rapid triage for patients with cancer in future pandemics.