Moral Distress and Intention to Leave During COVID

Author:

Karakachian Angela,Hebb Abigail,Peters Joy,Vogelstein Eric,Schreiber James B.,Colbert Alison

Abstract

OBJECTIVE The aim of this study was to investigate how the experience of caring for COVID-19 patients, nurses' moral distress, and the current practice environment impact nurses' intention to leave. BACKGROUND Caring for COVID-19 patients has been associated with an increase in nurses' moral distress and an increase in nurses' turnover. To date, research has focused on nurses' moral distress, the practice environment, and intentions to leave during the pandemic's peak. The current workplace climate, including those who stayed in their positions, has not been adequately assessed. METHODS This cross-sectional correlational study was conducted in a Magnet® hospital. RESULTS Moral distress related to team/system (B = 0.64, t = 3.86, P < 0.001), nurses' participation in hospital affairs (B = −2.21, t = −3.52, P < 0.001), and staffing (B = −1.91, t = −5.48, P < 0.001) are strongest predictors for nurses' intention to leave postpandemic. CONCLUSIONS Nurses in practice still report experiencing COVID-related moral distress; however; issues related to resources and staffing have the most substantial impact on intention to leave among the current nursing workforce.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference25 articles.

1. Ethical challenges of nurses in COVID-19 pandemic: integrative review;J Multidiscip Healthc,2021

2. Moral distress experienced by US nurses on the frontlines during the COVID-19 pandemic: implications for nursing policy and practice;SAGE Open Nurs,2022

3. Moral distress in physicians and nurses: impact on professional quality of life and turnover;Psychol Trauma Theory Res Pract Policy,2017

4. Moral distress among nurses in medical, surgical and intensive-care units;J Nurs Manag,2016

5. Moral distress in nurses caring for patients with COVID-19;Nurs Ethics,2021

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