跳至主要内容
临床试验/NCT02412410
NCT02412410
已完成
不适用

Optimizing Sleep/Wake Related Cognitive Efficacy in Laborist Shifts: Toward Establishing Models of Safer Obstetrical Care

Mayo Clinic1 个研究点 分布在 1 个国家目标入组 10 人2015年2月

概览

阶段
不适用
干预措施
未指定
疾病 / 适应症
Laborist
发起方
Mayo Clinic
入组人数
10
试验地点
1
主要终点
Optimizing efficacy through fatigue avoidance -Comparison of calculated efficacy scores before and after fatigue avoidance education
状态
已完成
最后更新
8年前

概览

简要总结

This is a pilot study designed to elucidate sleep/wake patterns and associated cognitive efficacy of laborists involved in shift work at Mayo Clinic Rochester.

详细描述

Each of the ten physicians working laborist shifts will be asked to wear an actigraphy watch (ReadiBand- Fatigue Science, Vancouver, BC) continually for three weeks in the winter 2014-2015 for initial data collection. A brief sleep education intervention based on aerospace and military fatigue countermeasure training will be given at a one hour departmental grand rounds presentation on April 20, 2015. This intervention will be based on ACGME requirements for fatigue education for residents and will also address the latest data on sleep and health, as well as fatigue countermeasures of nap recommendations, sleep banking, and sleep hygiene. An additional two weeks of data will then be collected. Data will be de-identified and entered into the Fatigue Science algorithm, which is validated to detect sleep quantity and quality. This algorithm allows labelling of data to reflect which type of shift, as well as its sequence in the schedule. For example, sleep/wake cycles of the fourth night shift of a series can be identified as such, so that wakefulness during a fourth night shift is not artificially compared to wakefulness during a first night of night shifts. Average efficacy during each type of shift, as well as average efficacy during each shift in a series of one type of shift can then be calculated. Efficacy is reported as a percentage, based on a nomogram established through military wakefulness task exercises and validated to correlate with blood alcohol level and with likelihood of human factor accident risk through the Department of Defense, US Army, US Navy, US Marine Corps, and Federal Railroad Association. Calculated data on shift efficacy will significantly contribute to the growing literature on the strengths of the laborist model, and will help with internal schedule structure to continue to maximize efficacy. As laborist programs develop and expand, the investigators may also be forerunners in describing optimal scheduling and staffing for programs of similar size and scope. Ultimately, additional studies will use this innovative technology to elucidate the assumed but not scientifically established relationship between sleep/wake based cognitive efficacy and patient safety by superimposing the investigators' wakefulness data on the investigators' tracked adverse events. This would be landmark in the investigators' field and has the potential to effect groundbreaking safety measures in the investigators' training and staffing.

注册库
clinicaltrials.gov
开始日期
2015年2月
结束日期
2018年2月
最后更新
8年前
研究类型
Interventional
研究设计
Single Group
性别
All

研究者

发起方
Mayo Clinic
责任方
Principal Investigator
主要研究者

Margaret L. Dow, M.D.

Assistant Professor Obstestrics-Gynecology

Mayo Clinic

入排标准

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Optimizing efficacy through fatigue avoidance -Comparison of calculated efficacy scores before and after fatigue avoidance education

时间窗: 3 months

Comparison of calculated efficacy scores before and after fatigue avoidance education

研究点 (1)

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