Literature DB >> 32881140

Predictors of job satisfaction of registered nurses providing care for older adults.

Abeer Mohammed Shaheen1, Mamdouh Al-Hniti1, Ayman Bani Salameh2, Maha Alkaid-Albqoor1, Muayyad Ahmad1.   

Abstract

BACKGROUND: The population worldwide is ageing. This has required the nursing profession to respond to the growing demands of providing nursing care to this population.
PURPOSE: To identify predictors of job satisfaction among registered nurses providing care for older adults.
METHODS: A cross-sectional correlational design was used with a convenience sample of nurses. The Quality Work Competence Questionnaire, Job Satisfaction Scale and Nurses' Occupational Stress Scale were used to measure study variables. Descriptive statistics and multiple regressions were used to analyse the data.
RESULTS: The study included 500 nurses; and 68% dissatisfied with their job. Nurses were mostly dissatisfied with the physical conditions in which they work (55.2%) and the rate of payment (50.2%). Physical strain demonstrated the highest positive correlation with nurses' satisfaction (r = .36). More years of experience, skills and employee development, high nurses' competence, and more physical strain predicted high job satisfaction.
CONCLUSION: Job dissatisfaction among nurses providing care for older adults is high and is influenced by nurses' experience, professional development, competency and physical strain. IMPLICATIONS: Health care organisations should apply strategies that enhance the development of the professional competency of their nursing staff.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  competence; development; job satisfaction; occupational stress; older adults; work strain

Mesh:

Year:  2020        PMID: 32881140     DOI: 10.1111/jonm.13147

Source DB:  PubMed          Journal:  J Nurs Manag        ISSN: 0966-0429            Impact factor:   3.325


  1 in total

1.  Job Competency and Intention to Stay among Nursing Assistants: The Mediating Effects of Intrinsic and Extrinsic Job Satisfaction.

Authors:  Yu-Chia Chang; Te-Feng Yeh; I-Ju Lai; Cheng-Chia Yang
Journal:  Int J Environ Res Public Health       Date:  2021-06-14       Impact factor: 3.390

  1 in total

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