Predictors of Resilience in Prelicensure Nursing Faculty

Background:Nursing faculty vacancies reduce the numbers of students entering the nursing profession, exacerbating the health care workforce crisis. Resilience, known to mitigate occupational burnout, may play a role in retaining existing prelicensure nursing faculty (PNF), a population that has not been extensively studied.Purpose:We examined compassion satisfaction (CS), perceived support (PS), and associated demographic factors of resilience among PNF.Methods:This cross-sectional study used a secondary data analysis of survey responses from 499 PNF. Multiple linear regression analyses were conducted to identify significant predictors of resilience.Results:Multivariate analysis revealed CS and PS were significant predictors of resilience when controlling for age, with CS being the strongest predictor in the regression model.Conclusions:This study highlights the importance of CS and PS in fostering resilience among PNF. Understanding these factors can guide academic institutions in developing interventions to retain nursing faculty, thereby addressing the broader nursing shortage.