College of Nursing, The University of Tennessee Knoxville, TN, USA.
School of Nursing, University of Maryland Baltimore, MD, USA.
Appl Ergon. 2018 Nov;73:42-47. doi: 10.1016/j.apergo.2018.05.012. Epub 2018 Jun 15.
This study examined the associations between bio-mathematical fatigue-risk scores and sickness absence (SA) in hospital nurses over 18 months. Work schedules and SA data were extracted from the hospital's attendance system. Fatigue-risk scores were generated for work days using the Fatigue Audit InterDyne (FAID) and Fatigue Risk Index (FRI). Over the study period, 5.4% of the shifts were absence shifts. FAID-fatigue ranged from 7 to 154; scores for a standard 9-5 work schedule can range from 7 to 40. Nurses with high FAID-scores were more likely to be absent from work when compared to standard FAID-scores (41-79, OR = 1.38, 95%CI = 1.21-1.58; 80-99, OR = 1.63, 95%CI = 1.37-1.94 and ≥ 100, OR = 1.73, 95%CI = 1.40-2.13). FRI-fatigue ranged from 0.9 to 76.8. When FRI-scores were >60, nurses were at 1.58 times (95%CI = 1.05-2.37) at increased odds for SA compared to scores in the 0.9-20 category. Nurse leaders can use these decision-support models to adjust high-risk schedules or the number of staff needed to cover anticipated absences from work.
本研究考察了生物数学疲劳风险评分与医院护士 18 个月缺勤（SA）之间的关联。工作时间表和 SA 数据从医院考勤系统中提取。使用 Fatigue Audit InterDyne (FAID) 和 Fatigue Risk Index (FRI) 为工作日生成疲劳风险评分。在研究期间，5.4%的轮班缺勤。FAID-疲劳值范围为 7 至 154；标准 9-5 工作时间表的分数范围为 7 至 40。与标准 FAID 分数相比，高 FAID 分数的护士更有可能缺勤（41-79，OR=1.38，95%CI=1.21-1.58；80-99，OR=1.63，95%CI=1.37-1.94 和≥100，OR=1.73，95%CI=1.40-2.13）。FRI-疲劳值范围为 0.9 至 76.8。当 FRI 分数>60 时，与分数在 0.9-20 范围内相比，护士的 SA 可能性增加 1.58 倍（95%CI=1.05-2.37）。护士管理者可以使用这些决策支持模型来调整高风险的时间表或需要的员工人数以覆盖预期的缺勤。
