Staff Turnover Intention at Long-Term Care Facilities: Implications of Resident Aggression, Burnout, and Fatigue. Academic Article uri icon

Overview

abstract

  • OBJECTIVES: Staff shortages and the high turnover rate of nursing assistants pose great challenges to long-term care. This study examined the effects of aggression from residents of long-term care facilities, burnout, and fatigue on staff turnover intention. The findings will help managers to devise effective measures to retain their staff. DESIGN: Cross-sectional descriptive study design. SETTING AND PARTICIPANTS: A total of 800 nursing assistants were recruited from 70 long-term care facilities using convenience sampling. METHODS: The participants were individually interviewed and provided information about their turnover intention, resident aggression witnessed and experienced, self-efficacy, neuroticism, burnout, fatigue, and personal and facility characteristics. RESULTS: Hierarchical multiple regression analysis revealed that the size and organizational practices of long-term care facilities were not associated with staff turnover intention. Staff who spent less time in the industry reported witnessing resident-to-resident aggression, experienced resident-to-staff aggression, reported high levels of burnout, had acute or chronic fatigue, and had low levels of inter-shift recovery were more likely than others to report a high turnover intention. CONCLUSIONS AND IMPLICATIONS: Staff turnover poses great challenges to staff, residents, and organizations. This study identified important factors that may help support staff in long-term care facilities. Specific measures, such as person-centered care to diminish resident aggression by addressing residents' unmet needs, work-directed programs to mitigate burnout and improve staff mental health, and flexible schedules to prevent fatigue should also be advocated to prevent staff turnover.

publication date

  • November 13, 2023

Research

keywords

  • Aggression
  • Intention

Identity

Digital Object Identifier (DOI)

  • 10.1016/j.jamda.2023.10.008

PubMed ID

  • 37972647