Open AccessPredictors of the intentions to leave among nurses in an academic medical center
Author(s) -
Sato Aoi,
Sato Yoshiteru,
Sugawara Norio,
Shinozaki Masataka,
Okayasu Hiroaki,
Kawamata Yasushi,
Tokumitsu Keita,
Uchibori Yumiko,
Komatsu Tomie,
YasuiFurukori Norio,
Shimoda Kazutaka
Publication year - 2022
Publication title -
psychiatry and clinical neurosciences reports
Language(s) - English
Resource type - Journals
ISSN - 2769-2558
DOI - 10.1002/pcn5.48
Subject(s) - psychology , harassment , turnover intention , nursing , work–life balance , logistic regression , turnover , job satisfaction , work (physics) , medicine , family medicine , social psychology , mechanical engineering , engineering , management , economics
Abstract Aim Nurses are an essential human resource for the healthcare system. However, high turnover of nurses is a current issue. Reducing the high turnover of nurses is crucial for facilitating the sustainable provision of care in hospitals. The purpose of this study was to explore the factors affecting nurses' intentions to leave among nurses in an advanced medical center. Methods Using a cross‐sectional design, we conducted a questionnaire survey of nurses working at an academic medical center in August 2020. Of the 1063 distributed questionnaires, there were 821 (77.2%) valid responses. The questionnaire included items on the Kessler 6 (K6), New Brief Job Stress Questionnaire (New BJSQ), Organizational Justice Questionnaire (OJQ), and intention to leave a hospital job. Results Overall, the mean age of the nurses was 34.3 ± 10.1 years and 87.8% (721/821) of them were female. Among respondents, 19.5% (160/821) had a strong intention to leave. After adjusting for all the variables, a logistic regression analysis revealed that longer working hours, job rank (staff nurse), work–self‐balance positive (imbalance), workplace harassment (no bullying), and interactional justice (unfair supervisor) were determinants associated with strong intentions to leave. Conclusions Approximately one‐fifth of nurses working at advanced medical center had a strong intention to leave. However, our findings can help managers predict the turnover of nurses by understanding occupational characteristics. Managing work–self‐balance and treating staff fairly could improve work environments. Further research focusing on the outcome of actual turnover rather than intention to leave is needed.