Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
10 participants
INTERVENTIONAL
2015-02-28
2018-02-28
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Single
Single arm pilot study analyzing sleep data and calculated efficacy before and after fatigue avoidance education (comparator is same group after intervention)
Fatigue avoidance education
Grand Rounds presentation of consequences of fatigue and fatigue avoidance techniques
Interventions
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Fatigue avoidance education
Grand Rounds presentation of consequences of fatigue and fatigue avoidance techniques
Eligibility Criteria
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Inclusion Criteria
30 Years
65 Years
ALL
Yes
Sponsors
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Mayo Clinic
OTHER
Responsible Party
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Margaret L. Dow, M.D.
Assistant Professor Obstestrics-Gynecology
Principal Investigators
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Margaret Dow, MD
Role: PRINCIPAL_INVESTIGATOR
Mayo Clinic
Locations
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Mayo Clinic in Rochester
Rochester, Minnesota, United States
Countries
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Other Identifiers
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14-008496
Identifier Type: -
Identifier Source: org_study_id
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