Tina Antill Keener1, Katherine Hall, Kesheng Wang, Tara Hulsey, Ubolrat Piamjariyakul. 1. Author Affiliations: Assistant Professor (Dr Keener), Clinical Education Instructor (Ms Hall), Associate Professor and Biostatistician (Dr Wang), Vice President of Health Promotion and Wellness and Dean and Endowed Professor (Dr Hulsey), and Associate Dean for Research (Dr Piamjariyakul), West Virginia University School of Nursing, Morgantown.
Abstract
BACKGROUND: The COVID-19 pandemic and subsequent social distancing guidelines greatly impacted the quality of life (QoL) of nursing faculty. PURPOSE: The purpose of this study was to examine the relationship of QoL, resilience, and associated factors among nursing faculty during the COVID-19 pandemic. METHODS: In April 2020, a cross-sectional, anonymous survey was conducted with nursing faculty in a public university in rural Appalachia (n = 52). Instruments included QoL, resilience scales, work-related, and demographic variables. Descriptive, bivariate, and multiple linear regression analyses were used to analyze data. A content analysis was used to analyze an open-ended question. RESULTS: Resilience was the strongest variable to predict each of the QoL domains. Nursing faculty who reported better QoL were those who were able to adapt to changes and challenges mandated during the COVID-19 pandemic. CONCLUSIONS: Evidence-based programs to build resilience and improve nursing faculty working conditions and their QoL are needed.
BACKGROUND: The COVID-19 pandemic and subsequent social distancing guidelines greatly impacted the quality of life (QoL) of nursing faculty. PURPOSE: The purpose of this study was to examine the relationship of QoL, resilience, and associated factors among nursing faculty during the COVID-19 pandemic. METHODS: In April 2020, a cross-sectional, anonymous survey was conducted with nursing faculty in a public university in rural Appalachia (n = 52). Instruments included QoL, resilience scales, work-related, and demographic variables. Descriptive, bivariate, and multiple linear regression analyses were used to analyze data. A content analysis was used to analyze an open-ended question. RESULTS: Resilience was the strongest variable to predict each of the QoL domains. Nursing faculty who reported better QoL were those who were able to adapt to changes and challenges mandated during the COVID-19 pandemic. CONCLUSIONS: Evidence-based programs to build resilience and improve nursing faculty working conditions and their QoL are needed.
Authors: Jonathan Jubin; Philippe Delmas; Ingrid Gilles; Annie Oulevey Bachmann; Claudia Ortoleva Bucher Journal: Int J Environ Res Public Health Date: 2022-06-10 Impact factor: 4.614