Browsing by Author "Stouder, April"
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Item Open Access A Program's Analysis of Communication Methods With Clinical Preceptors.(J Physician Assist Educ, 2018-03) Hudak, Nicholas M; Stouder, April; Everett, Christine MPURPOSE: Preceptors value communication with physician assistant (PA) educational programs. This study describes preceptors' perspectives about one PA program's established and new communication strategies to promote preceptor development and retention. METHODS: An electronic survey of preceptors was conducted in December 2014. Quantitative and qualitative data were analyzed using descriptive statistics. RESULTS: Eighty-eight of 209 preceptors completed the survey (42% response rate). Preceptors reported satisfaction with communication frequency and quality. The most preferred topics were preceptor benefits, teaching strategies, feedback about students' performance, and program policy updates. Many preceptors reported not receiving communications sent by mail. A majority of preceptors preferred site visits at least once per year and in person. CONCLUSIONS: Understanding preceptors' preferred topics helped the study program increase its emphasis on those topics. Knowledge that many preceptors do not receive mailed communications has prompted the program to use electronic communication for all communication types. The results reinforced the program's approach to site visits.Item Open Access Burnout, Personal, and Occupational Factors as Predictors of Physician Assistant Faculty Intent to Leave After the COVID-19 Pandemic(The Journal of Physician Assistant Education, 2024-09) Stouder, April; Ayars, Candace LIntroduction This study addressed whether burnout, personal, or occupational factors predicted physician assistant (PA) faculty intent to leave and established a new postpandemic national benchmark for PA faculty burnout and intent to leave. Methods In spring 2023, a nonexperimental, cross-sectional survey was emailed to 2031 PA faculty drawn from program faculty listings and the PA Education Association member database. Descriptive statistics were used to describe the sample, and a multiple regression analysis was conducted to analyze the predictive ability of the independent variables on intent to leave. Results The response rate was 30% (609 of 2031), with 496 responses (24.4%) included in the analysis. The sample reflected the population of PA faculty. The regression model significantly predicted intent leave (P < .001). The adjusted R 2 was 0.46, indicating the combination of independent variables predicted 46% of the variance in PA faculty intent to leave. Significant predictors included emotional exhaustion and identifying as multiracial (P < .001), control and values (P < .01), and depersonalization, fairness, rewards, and clinical year faculty role (P < .05). The sample had moderate levels of burnout and experienced burnout at higher rates than in prepandemic studies. Physician assistant faculty in administrative leadership roles had the highest levels of burnout and intent to leave. Despite this, PA faculty intent to leave measures were similar to prepandemic levels. Discussion Several of the predictive variables were related to well-being and social-emotional aspects of the workplace. These findings have implications for institutional policies and practices that support faculty well-being and workplace culture to enhance retention.