Initial Impact of the COVID-19 Pandemic on Physician Assistant Education.

PURPOSE: The COVID-19 pandemic significantly impacted United States (US) health professions educational programs. Physician assistant (PA) programs were forced to respond to rapidly changing circumstances early in the pandemic. This study describes the impact that the early phase of the COVID-19 pandemic had on PA programs in the United States. METHODS: This cross-sectional study is based on data from the COVID-19 Rapid Response Report 1, conducted by the Physician Assistant Education Association in April 2020. The survey sample included 254 US PA program directors with a response rate of 64.2%. Our outcome measures included temporary changes to PA program operations and clinical training, and current and upcoming budget and tuition changes, as well as the impact of the pandemic on faculty and staff employment. We used descriptive statistics to summarize these outcomes, stratified by 4 categories characterizing features of PA programs, including geographical location, academic housing, funding model, and academic health center status. RESULTS: The COVID-19 pandemic impact on programs varied geographically. A majority of programs reported making numerous temporary changes to their operations. Most programs moved both didactic and clinical education to an online format. Clinical training was temporarily suspended at almost all programs. CONCLUSIONS: PA programs continued training despite the pandemic. The long-term impact of the pandemic may be the instability of the PA education workforce.

Feasibility of an automated interview grounded in multiple mini interview (MMI) methodology for selection into the health professions: an international multimethod evaluation.

OBJECTIVES: Global, COVID-driven restrictions around face-to-face interviews for healthcare student selection have forced admission staff to rapidly adopt adapted online systems before supporting evidence is available. We have developed, what we believe is, the first automated interview grounded in multiple mini-interview (MMI) methodology. This study aimed to explore test-retest reliability, acceptability and usability of the system. DESIGN, SETTING AND PARTICIPANTS: Multimethod feasibility study in Physician Associate programmes from two UK and one US university during 2019-2020. PRIMARY, SECONDARY OUTCOMES: Feasibility measures (test-retest reliability, acceptability and usability) were assessed using intraclass correlation (ICC), descriptive statistics, thematic and content analysis. METHODS: Volunteers took (T1), then repeated (T2), the automated MMI, with a 7-day interval (±2) then completed an evaluation questionnaire. Admission staff participated in focus group discussions. RESULTS: Sixty-two students and seven admission staff participated; 34 students and 4 staff from UK and 28 students and 3 staff from US universities. Good-excellent test-retest reliability was observed at two sites (US and UK2) with T1 and T2 ICC between 0.65 and 0.81 (p<0.001) when assessed by individual total scores (range 80.6-119), station total scores 0.6-0.91, p<0.005 and individual site (≥0.79 p<0.001). Mean test re-test ICC across all three sites was 0.82 p<0.001 (95% CI 0.7 to 0.9). Admission staff reported potential to reduce resource costs and bias through a more objective screening tool for preselection or to replace some MMI stations in a 'hybrid model'. Maintaining human interaction through 'touch points' was considered essential. Users positively evaluated the system, stating it was intuitive with an accessible interface. Concepts chosen for dynamic probing needed to be appropriately tailored. CONCLUSION: These preliminary findings suggest that the system is reliable, generating consistent scores for candidates and is acceptable to end users provided human touchpoints are maintained. Thus, there is evidence for the potential of such an automated system to augment healthcare student selection.