Optimizing Sleep/Wake Related Cognitive Efficacy

February 21, 2018 updated by: Margaret L. Dow, M.D., Mayo Clinic

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

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.

Study Overview

Status

Completed

Conditions

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

Interventional

Enrollment (Anticipated)

10

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Minnesota
      • Rochester, Minnesota, United States, 55905
        • Mayo Clinic in Rochester

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

30 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Physicians working in Laborist role, exclusion only by subject declining participation

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Margaret Dow, MD, Mayo Clinic

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

February 1, 2015

Primary Completion (Actual)

December 1, 2017

Study Completion (Actual)

February 1, 2018

Study Registration Dates

First Submitted

April 6, 2015

First Submitted That Met QC Criteria

April 8, 2015

First Posted (Estimate)

April 9, 2015

Study Record Updates

Last Update Posted (Actual)

February 22, 2018

Last Update Submitted That Met QC Criteria

February 21, 2018

Last Verified

February 1, 2018

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 14-008496

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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