Generation-Common and -Specific Factors in Intention to Leave among Female Hospital Nurses: A Cross-Sectional Study Using a Large Japanese Sample

Maki Tei-Tominaga, Kyoko Asakura and Takashi Asakura
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Maki Tei-Tominaga: Faculty of Nursing, Setsunan University, Osaka 573-0101, Japan
Kyoko Asakura: Division of Nursing Education and Administration, Graduate School of Medicine, Tohoku University, Sendai 980-0872, Japan
Takashi Asakura: Laboratory of Health and Social Behaviour, Tokyo Gakugei University, Tokyo 184-8501, Japan

IJERPH, 2018, vol. 15, issue 8, 1-17

Abstract: An understanding of the conditions that determine the factors affecting nurses’ intention to leave is important for countries suffering from nurse shortage. Aim: to examine factors influencing intention to leave among female hospital nurses in a large Japanese sample, classified into four generations by age and considering economic conditions. Methods: a cross-sectional survey with convenience sampling was conducted. Anonymous self-administered questionnaires were distributed to all nurses in 30 hospitals. To assess intention to leave, basic attributes, life conditions, work characteristics, and factors of psychosocial work environment were addressed. After classifying data into four generations based on age cohorts, we conducted multivariate logistic regression analysis using the completed data ( N = 5074, mean age = 36.24 years). Results: regardless of the generational characteristics influenced by economic conditions, effort and monetary reward were generation-common factors. Over-commitment, social support, and the presence of a role model were generation-common factors in three generations. While having children increased intention to leave in the generation born in 1965–1979, having family members in need of caregiving other than children decreased the risk in the generation born in the 1980s. Conclusion: generational countermeasures considering factors of psychosocial work environment and life conditions are needed to avert female nurse turnover.

Keywords: female; generation; hospital; intention to leave; nurse (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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