- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02412410
Optimizing Sleep/Wake Related Cognitive Efficacy
Optimizing Sleep/Wake Related Cognitive Efficacy in Laborist Shifts: Toward Establishing Models of Safer Obstetrical Care
Study Overview
Status
Intervention / Treatment
Detailed Description
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.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Minnesota
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Rochester, Minnesota, United States, 55905
- Mayo Clinic in Rochester
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Single
Single arm pilot study analyzing sleep data and calculated efficacy before and after fatigue avoidance education (comparator is same group after intervention)
|
Grand Rounds presentation of consequences of fatigue and fatigue avoidance techniques
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Optimizing efficacy through fatigue avoidance -Comparison of calculated efficacy scores before and after fatigue avoidance education
Time Frame: 3 months
|
Comparison of calculated efficacy scores before and after fatigue avoidance education
|
3 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Margaret Dow, MD, Mayo Clinic
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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