Daniel A Harris1, Jacqueline Haskell2, Emily Cooper3, Nancy Crouse4, Rebekah Gardner5. 1. Department of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Healthcentric Advisors, Providence, RI, United States of America. 2. Healthcentric Advisors, Providence, RI, United States of America. 3. Healthcentric Advisors, Providence, RI, United States of America. Electronic address: ecooper@healthcentricadvisors.org. 4. Boston Medical Center, Boston, MA, United States of America. 5. Warren Alpert Medical School, Brown University, Providence, RI, United States of America; Healthcentric Advisors, Providence, RI, United States of America.
Abstract
BACKGROUND: Health information technology (HIT), such as electronic health records (EHRs), is a growing part of the clinical landscape. Recent studies among physicians suggest that HIT is associated with a higher prevalence of burnout. Few studies have investigated the workflow and practice-level predictors of burnout among advanced practice registered nurses (APRNs). AIM: Characterize HIT use and measure associations between EHR-related stress and burnout among APRNs. METHODS: An electronic survey was administered to all APRNs licensed in Rhode Island, United States (N = 1197) in May-June 2017. The dependent variable was burnout, measured with the validated Mini z burnout survey. The main independent variables were three EHR-related stress measures: time spent on the EHR at home, daily frustration with the EHR, and time for documentation. Logistic regression was used to measure the association between EHR-related stress and burnout before and after adjusting for demographics, practice-level characteristics, and the other EHR-related stress measures. RESULTS: Of the 371 participants, 73 (19.8%) reported at least one symptom of burnout. Among participants with an EHR (N = 333), 165 (50.3%) agreed or strongly agreed that the EHR added to their daily frustration and 97 (32.8%) reported an insufficient amount of time for documentation. After adjustment, insufficient time for documentation (AOR = 3.72 (1.78-7.80)) and the EHR adding to daily frustration (AOR = 2.17 (1.02-4.65)) remained predictors of burnout. CONCLUSIONS: Results from the present study revealed several EHR-related environmental factors are associated with burnout among APRNs. Future studies may explore the impact of addressing these EHR-related factors to mitigate burnout among this population.
BACKGROUND: Health information technology (HIT), such as electronic health records (EHRs), is a growing part of the clinical landscape. Recent studies among physicians suggest that HIT is associated with a higher prevalence of burnout. Few studies have investigated the workflow and practice-level predictors of burnout among advanced practice registered nurses (APRNs). AIM: Characterize HIT use and measure associations between EHR-related stress and burnout among APRNs. METHODS: An electronic survey was administered to all APRNs licensed in Rhode Island, United States (N = 1197) in May-June 2017. The dependent variable was burnout, measured with the validated Mini z burnout survey. The main independent variables were three EHR-related stress measures: time spent on the EHR at home, daily frustration with the EHR, and time for documentation. Logistic regression was used to measure the association between EHR-related stress and burnout before and after adjusting for demographics, practice-level characteristics, and the other EHR-related stress measures. RESULTS: Of the 371 participants, 73 (19.8%) reported at least one symptom of burnout. Among participants with an EHR (N = 333), 165 (50.3%) agreed or strongly agreed that the EHR added to their daily frustration and 97 (32.8%) reported an insufficient amount of time for documentation. After adjustment, insufficient time for documentation (AOR = 3.72 (1.78-7.80)) and the EHR adding to daily frustration (AOR = 2.17 (1.02-4.65)) remained predictors of burnout. CONCLUSIONS: Results from the present study revealed several EHR-related environmental factors are associated with burnout among APRNs. Future studies may explore the impact of addressing these EHR-related factors to mitigate burnout among this population.
Authors: Kirk D Wyatt; Brian N Willaert; Christine M Lohse; Peter J Pallagi; James A Yiannias; Thomas R Hellmich Journal: Appl Clin Inform Date: 2020-02-12 Impact factor: 2.342
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