Association between Intention to Stay on the Job and Job Satisfaction among Japanese Nurses in Small and Medium-sized Private Hospitals: Yasushi KUDO, et al. Department of Preventive Medicine and Public Health, KitasatoUniversity School of Medicine-In order to examine the relationship between the intention to stay on the job and job satisfaction among Japanese nurses, and to obtain clues for preventing turnover, we conducted a questionnaire survey. The subjects involved in the survey included 625 female nurses (registered nurses, licensed practical nurses and assistant nurses) working in 4 small and medium-sized private hospitals, excluding directors of nursing. Of the 625 questionnaires distributed, 556 (89.0%) were returned. After excluding the questionnaires with missing values, 480 questionnaires were analyzed (effective response rate, 76.8%).The average age of the respondents was 32.8 yr (range: 20-65). The content of the questionnaire was nurse attributes, job satisfaction (30 items) and intention to stay on the job. For job satisfaction, factor analysis (principal factor method and promax rotation) was performed, and factors with an eigenvalue of ≥1 were extracted. Six factors were extracted by factor analysis. These factors were interpreted as "Work as specialists" (1st factor), "Relationship with superiors" (2nd factor), "Comfortable life" (3rd factor), "Relationship among nurses" (4th factor), "Communication with physicians" (5th factor) and "Working conditions" (6th factor). The factor scores were calculated and used as a scale for the evaluation of job satisfaction. To investigate the factors associated with intention to stay on the job among nurses, the standard partial regression coefficient was computed by multiple linear regression analysis, with intention to stay on the job as the dependent variable, and nurse attributes and job satisfaction (factor scores) as independent variables. Various factors including the organizational culture of each hospital may affect the relationship between job satisfaction and the intention to stay on the job. In order to adjust for these factors, differences among hospitals were included in the statistical model as independent variables. The result of the multiple regression analysis suggests that the intention to stay on the job was higher among nurses who were older and more satisfied with work as specialists (1st factor) and working conditions (6th factor). (J Occup Health 2006; 48: 504-513)
Nursing assistants can work without a professional certification to help registered nurses and licensed practical nurses. Nursing assistants engage in various tasks, e.g., washing laundry, cleaning up, and clerk tasks regarding nursing. Enhancing work motivation among nursing assistants is essential for every hospital, because when nursing assistants do their jobs well, it allows registered nurses and licensed practical nurses to complete their own specialized jobs. We examined the predictors significantly associated with nursing assistants' work motivation. For those predictors, we produced items to examine job satisfaction. Those items are classified into intrinsic and extrinsic facets. The subjects for this study were Japanese nursing assistants working in 26 hospitals with 62-376 beds (4 public and 22 private hospitals). A total of 516 nursing assistants were analyzed, with the average age and standard deviation of 42.7 ± 12.9 years; the age of 456 female subjects was 43.8 ± 12.7 years and that of 60 male subjects was 34.3 ± 11.0 years. Our results show that "work motivation" is significantly associated with "free time to do one's own things," "nursing assistants as important partners on the job," "feeling helpful to patients," "participating in decision making," and "job-skill improvement." Free time to do one's own things is an extrinsic item. Hospital administrators must monitor the workload and their quality of life among nursing assistants. All the other significant items are intrinsic. Nursing assistants are not only motivated by money. They highly value the intrinsic nature and experience of their jobs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.