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Predictors of nurses’ intentions to leave the organisation and the profession in T urkey
Author(s) -
Arslan Yurumezoglu Havva,
Kocaman Gulseren
Publication year - 2016
Publication title -
journal of nursing management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.925
H-Index - 76
eISSN - 1365-2834
pISSN - 0966-0429
DOI - 10.1111/jonm.12305
Subject(s) - staffing , emotional exhaustion , burnout , nursing , job satisfaction , nursing management , depersonalization , psychology , descriptive statistics , scale (ratio) , medicine , social psychology , clinical psychology , statistics , physics , mathematics , quantum mechanics
Aim To examine the predictors of nurses’ intention to leave the organisation and intention to leave the profession in Turkey. Background Although numerous studies have investigated nurses’ intention to leave the organisation and intention to leave the profession, knowledge about the predictors of nurses’ intention to leave remains insufficient. Methods A descriptive cross‐sectional research design was conducted based on a sample of 799 nurses at 16 hospitals. Data were collected through a questionnaire including questions about nurse characteristics, the intention to leave the organisation and the intention to leave the profession, job satisfaction and the Maslach burnout index and the practice environment scale of the nursing work index. Data were evaluated using a stepwise logistic regression analysis. Results Dissatisfaction, the number of years worked at the organisation, emotional exhaustion, depersonalisation, collegial nurse–physician relationships and the adequacy of staffing and resources were predictors of nurses’ intention to leave the organisation ( R 2 = 44%), whereas dissatisfaction and emotional exhaustion were predictors of nurses’ intention to leave the profession ( R 2 = 27%). Conclusions Although there were differences between the patterns of nurses’ intention to leave the organisation and intention to leave the profession, dissatisfaction and emotional exhaustion were common across both groups and were the most important predictors of nurses’ intention to leave. Implications for nursing management Managers should focus on approaches that will increase satisfaction and prevent burnout in nurses. Nurse managers should consider nurses’ suggestions when developing plans related to staffing and resources and should encourage interdisciplinary cooperation.