Factors Influencing RNs’ Intention to Stay in Nursing Homes: Multilevel Modeling Approach

Abstract

The current study investigated factors that influence the intention to stay (ITS) of RNs working in South Korean nursing homes (NHs). Thirty-six questionnaire responses from organizational NHs and 101 from individual RNs were analyzed using multilevel regression analysis. At the individual level, RNs’ ITS increased with years of work at their current NH, and that of RNs who received emergency calls to work at night was lower than that of RNs with fixed night shifts. At the organizational level, ITS was higher when the ratios of RNs to residents and RNs to nursing staff were higher. To improve ITS, NHs should consider adopting mandatory deployment of RNs, increasing their RN to resident ratios, and implementing a fixed night shift RN system, wherein night shift working hours count as twice the daytime hours, and night shift is voluntary.