کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6947541 | 1450697 | 2018 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bio-mathematical fatigue models predict sickness absence in hospital nurses: An 18 months retrospective cohort study
ترجمه فارسی عنوان
مدلهای خستگی بیرونی ریاضی، فقدان بیماری در پرستاران بیمارستان را پیش بینی می کنند: 18 ماه مطالعه کوهورت گذشته نگر
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
تعامل انسان و کامپیوتر
چکیده انگلیسی
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, ORâ¯=â¯1.38, 95%CIâ¯=â¯1.21-1.58; 80-99, ORâ¯=â¯1.63, 95%CIâ¯=â¯1.37-1.94 andâ¯â¥â¯100, ORâ¯=â¯1.73, 95%CIâ¯=â¯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%CIâ¯=â¯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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Ergonomics - Volume 73, November 2018, Pages 42-47
Journal: Applied Ergonomics - Volume 73, November 2018, Pages 42-47
نویسندگان
Knar Sagherian, Shijun Zhu, Carla Storr, Pamela S. Hinds, Debra Derickson, Jeanne Geiger-Brown,