Philippa Gander1, Karyn O'Keeffe2, Edgar Santos-Fernandez3, Annette Huntington4, Leonie Walker5, Jinny Willis6. 1. Sleep/Wake Research Centre, Massey University, New Zealand. Electronic address: p.h.gander@massey.ac.nz. 2. Sleep/Wake Research Centre, Massey University, New Zealand. Electronic address: k.m.okeeffe@massey.ac.nz. 3. Sleep/Wake Research Centre, Massey University, New Zealand. 4. School of Nursing, Massey University, New Zealand. 5. School of Health Sciences, Massey University, New Zealand. 6. New Zealand Nurses Organisation, New Zealand.
Abstract
BACKGROUND: Fatigue resulting from shift work and extended hours can compromise patient care and the safety and health of nurses, as well as increasing nursing turnover and health care costs. OBJECTIVES: This research aimed to identify aspects of nurses' work patterns associated with increased risk of reporting fatigue-related outcomes. DESIGN: A national survey of work patterns and fatigue-related outcomes in 6 practice areas expected to have high fatigue risk (child health including neonatology, cardiac care/intensive care, emergency and trauma, in-patient mental health, medical, and surgical nursing). METHODS: The 5-page online questionnaire included questions addressing: demographics, usual work patterns, work in the previous two weeks, choice about shifts, and four fatigue-related outcomes - having a sleep problem for at least 6 months, sleepiness (Epworth Sleepiness Scale), recalling a fatigue-related error in clinical practice in the last 6 months, and feeling close to falling asleep at the wheel in the last 12 months. The target population was all registered and enrolled nurses employed to work in public hospitals at least 30 h/week in one of the 6 practice areas. Participation was voluntary and anonymous. RESULTS: Respondents (n = 3133) were 89.8% women and 8% Māori (indigenous New Zealanders), median age 40 years, range 21-71 years (response rate 42.6%). Nurses were more likely than New Zealand adults in general to report chronic sleep problems (37.73% vs 25.09%, p < 0.0001) and excessive sleepiness (33.75% vs 14.9%, p < 0.0001). Fatigue-related error(s) in the last 6 months were recalled by 30.80% and 64.50% reported having felt sleepy at the wheel in the last 12 months. Logistic regression analyses indicated that fatigue-related outcomes were most consistently associated with shift timing and sleep. Risk increased with more night shifts and decreased with more nights with sleep between 11 p.m. and 7 a.m. and on which nurses had enough sleep to feel fully rested. Risk also increased with roster changes and more shift extensions greater than 30 min and decreased with more choice about shifts. Comparisons between intensive care/cardiac care and in-patient mental health nursing highlight that fatigue has different causes and consequences in different practice areas. CONCLUSIONS: Findings confirm the need for a more comprehensive and adaptable approach to managing fatigue. We advocate an approach that integrates safety management and scientific principles with nursing and management expertise. It should be data-driven, risk-focused, adaptable, and resilient in the face of changes in the services required, the resources available, and the overall goals of the healthcare system.
BACKGROUND: Fatigue resulting from shift work and extended hours can compromise patient care and the safety and health of nurses, as well as increasing nursing turnover and health care costs. OBJECTIVES: This research aimed to identify aspects of nurses' work patterns associated with increased risk of reporting fatigue-related outcomes. DESIGN: A national survey of work patterns and fatigue-related outcomes in 6 practice areas expected to have high fatigue risk (child health including neonatology, cardiac care/intensive care, emergency and trauma, in-patient mental health, medical, and surgical nursing). METHODS: The 5-page online questionnaire included questions addressing: demographics, usual work patterns, work in the previous two weeks, choice about shifts, and four fatigue-related outcomes - having a sleep problem for at least 6 months, sleepiness (Epworth Sleepiness Scale), recalling a fatigue-related error in clinical practice in the last 6 months, and feeling close to falling asleep at the wheel in the last 12 months. The target population was all registered and enrolled nurses employed to work in public hospitals at least 30 h/week in one of the 6 practice areas. Participation was voluntary and anonymous. RESULTS: Respondents (n = 3133) were 89.8% women and 8% Māori (indigenous New Zealanders), median age 40 years, range 21-71 years (response rate 42.6%). Nurses were more likely than New Zealand adults in general to report chronic sleep problems (37.73% vs 25.09%, p < 0.0001) and excessive sleepiness (33.75% vs 14.9%, p < 0.0001). Fatigue-related error(s) in the last 6 months were recalled by 30.80% and 64.50% reported having felt sleepy at the wheel in the last 12 months. Logistic regression analyses indicated that fatigue-related outcomes were most consistently associated with shift timing and sleep. Risk increased with more night shifts and decreased with more nights with sleep between 11 p.m. and 7 a.m. and on which nurses had enough sleep to feel fully rested. Risk also increased with roster changes and more shift extensions greater than 30 min and decreased with more choice about shifts. Comparisons between intensive care/cardiac care and in-patient mental health nursing highlight that fatigue has different causes and consequences in different practice areas. CONCLUSIONS: Findings confirm the need for a more comprehensive and adaptable approach to managing fatigue. We advocate an approach that integrates safety management and scientific principles with nursing and management expertise. It should be data-driven, risk-focused, adaptable, and resilient in the face of changes in the services required, the resources available, and the overall goals of the healthcare system.
Authors: Yan Liu; Ji Shu Xian; Rui Wang; Kang Ma; Fei Li; Fei Long Wang; Xue Yang; Ning Mu; Kai Xu; Yu Lian Quan; Shi Wang; Ying Lai; Chuan Yan Yang; Teng Li; Yanchun Zhang; Binbin Tan; Hua Feng; Tu Nan Chen; Li Hua Wang Journal: Front Psychiatry Date: 2022-08-25 Impact factor: 5.435