Kihye Han1, Yeon-Hee Kim2, Hye Young Lee3, Sungju Lim4. 1. Chung-Ang University College of Nursing, Seoul, Republic of Korea. Electronic address: hankihye@cau.ac.kr. 2. University of Ulsan Department of Clinical Nursing, 88 Olympic-ro 43-gil, Seoul 05505, Republic of Korea. Electronic address: kimyhee@amc.seoul.kr. 3. Asan Medical Center Department of Nursing, Seoul, Republic of Korea. Electronic address: hylee@amc.seoul.kr. 4. University of Texas at Austin School of Nursing, Texas, United States. Electronic address: sungjulim0623@gmail.com.
Abstract
BACKGROUND: Novice nurses experience radical changes in their sleep-wake cycle and sleep difficulties after exposure to a rotating shift work schedule. The link between workplace hardship and employee turnover may be dependent on factors at the individual level, e.g., individual health. Nurses with sleep disturbance are more vulnerable to stressful stimuli and lack resilience at work compared with those without sleep disturbance. OBJECTIVES: To classify novice nurses according to sleep disturbance trajectories during the first 2 years of work, to compare turnover rates according to trajectory classification, and to compare levels of sleep disturbance between stayers and leavers within each trajectory class. DESIGN: Prospective longitudinal design. SETTINGS: A tertiary hospital in Seoul, South Korea. PARTICIPANTS: A total of 465 newly graduated nurses who started work between September 2014 and December 2015. METHODS: Data were collected 6 times within the first 2 years of work (on the first day of orientation before ward placement, at 6 weeks after starting work, and at 6, 12, 18, and 24 months of work). Sleep disturbance was assessed using the General Sleep Disturbance Scale. Turnover information was retrieved from the hospital's administrative data system to determine whether anyone had left the hospital at each data collection point. Unconditional latent growth curve analysis was performed to identify latent classes of trajectories of sleep disturbance among novice nurses during the first 2 years of work. RESULTS: The 2-year trajectories of sleep disturbance were classified into two distinct groups: the high symptomatic group (Class 1: 57.4%) and the low symptomatic group (Class 2: 42.6%). In comparison with Class 2, Class 1 consistently showed a higher turnover in each period. In Class 1, leavers who left the hospital at the next measurement point tended to report more severe sleep disturbance at prior measurements. This pattern was also observed for the overall sample. However, in Class 2, an inconsistent pattern between stayers and leavers was observed. CONCLUSIONS: This study identified two distinct classes of sleep disturbance among novice nurses during the first 2 years of work. Given that many nurses experience sleep problems at pre-employment and during the early career period, a comprehensive approach to address this issue should be implemented in nursing schools and hospitals. The basic nursing curriculum should include self-care management strategies for sleep difficulties to ensure retention at work. At-risk nurses should receive organizational support and early monitoring to prevent the adverse effects of poor sleep.
BACKGROUND: Novice nurses experience radical changes in their sleep-wake cycle and sleep difficulties after exposure to a rotating shift work schedule. The link between workplace hardship and employee turnover may be dependent on factors at the individual level, e.g., individual health. Nurses with sleep disturbance are more vulnerable to stressful stimuli and lack resilience at work compared with those without sleep disturbance. OBJECTIVES: To classify novice nurses according to sleep disturbance trajectories during the first 2 years of work, to compare turnover rates according to trajectory classification, and to compare levels of sleep disturbance between stayers and leavers within each trajectory class. DESIGN: Prospective longitudinal design. SETTINGS: A tertiary hospital in Seoul, South Korea. PARTICIPANTS: A total of 465 newly graduated nurses who started work between September 2014 and December 2015. METHODS: Data were collected 6 times within the first 2 years of work (on the first day of orientation before ward placement, at 6 weeks after starting work, and at 6, 12, 18, and 24 months of work). Sleep disturbance was assessed using the General Sleep Disturbance Scale. Turnover information was retrieved from the hospital's administrative data system to determine whether anyone had left the hospital at each data collection point. Unconditional latent growth curve analysis was performed to identify latent classes of trajectories of sleep disturbance among novice nurses during the first 2 years of work. RESULTS: The 2-year trajectories of sleep disturbance were classified into two distinct groups: the high symptomatic group (Class 1: 57.4%) and the low symptomatic group (Class 2: 42.6%). In comparison with Class 2, Class 1 consistently showed a higher turnover in each period. In Class 1, leavers who left the hospital at the next measurement point tended to report more severe sleep disturbance at prior measurements. This pattern was also observed for the overall sample. However, in Class 2, an inconsistent pattern between stayers and leavers was observed. CONCLUSIONS: This study identified two distinct classes of sleep disturbance among novice nurses during the first 2 years of work. Given that many nurses experience sleep problems at pre-employment and during the early career period, a comprehensive approach to address this issue should be implemented in nursing schools and hospitals. The basic nursing curriculum should include self-care management strategies for sleep difficulties to ensure retention at work. At-risk nurses should receive organizational support and early monitoring to prevent the adverse effects of poor sleep.
Authors: Danica C Slavish; Ateka A Contractor; Jessica R Dietch; Brett Messman; Heather R Lucke; Madasen Briggs; James Thornton; Camilo Ruggero; Kimberly Kelly; Marian Kohut; Daniel J Taylor Journal: Int J Behav Med Date: 2022-01-05
Authors: Alba Maestro-Gonzalez; Marta Sánchez-Zaballos; María Pilar Mosteiro-Díaz; David Zuazua-Rico Journal: Sleep Med Date: 2021-02-02 Impact factor: 4.842