We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
New nurses' perceptions of professional practice behaviours, quality of care, job satisfaction and career retention.
- Authors
Spence Laschinger, Heather K.; Zhu, Junhong; Read, Emily
- Abstract
Aim To test a model examining the effects of structural empowerment and support for professional practice on new graduate nurses' perceived professional practice behaviours, perceptions of care quality and subsequent job satisfaction and career turnover intentions. Background The nursing worklife model describes relationships between supportive nursing work environments and nurse and patient outcomes. The influence of support for professional practice on new nurses' perceptions of professional nursing behaviours within this model has not been tested. Methods Structural equation modelling in Mplus was used to analyse data from a national survey of new nurses across Canada ( n = 393). Findings The hypothesised model was supported: χ²(122) = 346.726, P = 0.000; CFI = 0.917; TLI = 0.896; RMSEA = 0.069. Professional practice behaviour was an important mechanism through which empowerment and supportive professional practice environments influenced nurse-assessed quality of care, which was related to job satisfaction and lower intentions to leave nursing. Conclusion Job satisfaction and career retention of new nurses are related to perceptions of work environment factors that support their professional practice behaviours and high-quality patient care. Implications Nurse managers can support new graduate nurses' professional practice behaviour by providing empowering supportive professional practice environments.
- Subjects
CANADA; BEHAVIOR; CHI-squared test; HOSPITALS; JOB satisfaction; MEDICAL quality control; NURSE administrators; NURSES' attitudes; NURSING; SCIENTIFIC observation; PROBABILITY theory; QUESTIONNAIRES; RESEARCH funding; SELF-efficacy; WORK environment; EMPLOYEE retention; ORGANIZATIONAL structure; PROFESSIONAL practice; GRADUATES; STRUCTURAL equation modeling; MAXIMUM likelihood statistics; CROSS-sectional method; DATA analysis software; DESCRIPTIVE statistics
- Publication
Journal of Nursing Management, 2016, Vol 24, Issue 5, p656
- ISSN
0966-0429
- Publication type
Article
- DOI
10.1111/jonm.12370