Novice nurses' sleep disturbance trajectories within the first 2 years of work and actual turnover: A prospective longitudinal study

被引:34
作者
Han, Kihye [1 ]
Kim, Yeon-Hee [2 ]
Lee, Hye Young [3 ]
Lim, Sungju [4 ]
机构
[1] Chung Ang Univ, Coll Nursing, Seoul, South Korea
[2] Univ Ulsan, Dept Clin Nursing, 88 Olymp Ro 43 Gil, Seoul 05505, South Korea
[3] Asan Med Ctr, Dept Nursing, Seoul, South Korea
[4] Univ Texas Austin, Sch Nursing, Austin, TX 78712 USA
基金
新加坡国家研究基金会;
关键词
Latent growth curve modeling; Longitudinal analysis; Novice nurse; Sleep disturbance; Turnover; PATTERN-MIXTURE MODELS; SHIFT-WORK; DROP-OUT; STRESS; INSOMNIA; BURNOUT; QUALITY; PERFORMANCE; RESILIENCE; OUTCOMES;
D O I
10.1016/j.ijnurstu.2020.103575
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
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. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 53 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]  
[Anonymous], 2017, HLTH GLANCE 2017 OEC, DOI [10.1787/0fe1315d-en, DOI 10.1787/0FE1315D-EN]
[3]   The Orientation Period: Essential for New Registered Nurses' Adaptation [J].
Ashton, Kathleen S. .
NURSING SCIENCE QUARTERLY, 2015, 28 (02) :142-150
[4]  
baek jihyun, 2017, Journal of korean biological nursing science, V19, P198
[5]   Helping Employees Sleep Well: Effects of Cognitive Behavioral Therapy for Insomnia on Work Outcomes [J].
Barnes, Christopher M. ;
Miller, Jared A. ;
Bostock, Sophie .
JOURNAL OF APPLIED PSYCHOLOGY, 2017, 102 (01) :104-113
[6]   Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthen (2003), and Cudeck and Henly (2003) [J].
Bauer, DJ ;
Curran, PJ .
PSYCHOLOGICAL METHODS, 2003, 8 (03) :384-393
[7]   Impacts of shift work on sleep and circadian rhythms [J].
Boivin, D. B. ;
Boudreau, P. .
PATHOLOGIE BIOLOGIE, 2014, 62 (05) :292-301
[8]   Occupational stress and employee turnover [J].
Bridger, Robert S. ;
Day, Andrea J. ;
Morton, Kate .
ERGONOMICS, 2013, 56 (11) :1629-1639
[9]   Short sleep duration is dose-dependently related to job strain and burnout in nurses: A cross sectional survey [J].
Chin, Weishan ;
Guo, Yue Leon ;
Hung, Yu-Ju ;
Yang, Chiu-Yueh ;
Shiao, Judith Shu-Chu .
INTERNATIONAL JOURNAL OF NURSING STUDIES, 2015, 52 (01) :297-306
[10]   The mediating and moderating effects of sleep hygiene practice on anxiety and insomnia in hospital nurses [J].
Chou, Tsui-Lan ;
Chang, Lu-I ;
Chung, Min-Huey .
INTERNATIONAL JOURNAL OF NURSING PRACTICE, 2015, 21 :9-18