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Developing Models for Fatigue Monitoring in Obstetrics and Gyne- Cology Residents Using Wearables

NCT ID: NCT03354871

Last Updated: 2017-11-28

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

6 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-11-30

Study Completion Date

2018-02-28

Brief Summary

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This study is set out to observe heart-rate and related bio-metric indicators in Obstetrics and Gynecology residents during their duty hours, together with self-reporting of fatigue and tasks performances, in order to model possible relationships between the two.

Detailed Description

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There are vast evidences of the harmful consequences of fatigue in medical residents, consequently, leading to poor task performances and in some cases may cause injury to the patients. Medically, fatigue is a non-specific symptom, which means that it has many possible causes and accompanies many different conditions. Elevated fatigue is an indication that a person may not be fit-to-task (i.e., task efficacy).The investigators main goal is to use readily available body-worn sensors, such as an activity wrist-band, to continuously monitor for fatigue as a possible antecedent to predictions of task-efficacy in the area of Obstetrics and Gynecology. This study is anchored in prior research which established basic models that correlate between heart-rate variability (HRV) and fatigue. Specific to this study, the investigators would like to further establish the validity of such models at the individual level, also with the perspective of fatigue as an early predictor of task performance related to practices in Obstetrics and Gynecology. The investigators aim is to extend HRV based models with additional personal measures (e.g., age, weight, activity level), possibly with the extraction of additional data-driven features, to improve model accuracy at the individual level. The investigators will also try to find relationships between such measurements and task effectiveness via the gathering of self-reports regarding on-the-job task performances.

Conditions

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Fatigue

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Participants will be chosen from the obstetrics and gynecology department in the Hillel Yaffe medical center.

Exclusion Criteria

* Chronic fatigue syndrome
* Pregnancy
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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International Business Machines (IBM)

INDUSTRY

Sponsor Role collaborator

Hillel Yaffe Medical Center

OTHER_GOV

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Mordechai Hallak, M.D

Role: PRINCIPAL_INVESTIGATOR

Department of Obstetrics & Gynecology, Hillel Yaffe Medical Center, Hadera

Locations

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Department of Obstetrics and Gynecology, Hillel-Yaffe Medical Center

Hadera, , Israel

Site Status

Countries

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Israel

Central Contacts

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Ofer Limonad, M.D

Role: CONTACT

Phone: 00972525322972

Email: [email protected]

Mordechai Hallak, M.D

Role: CONTACT

Email: [email protected]

References

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Bundele, Mahesh M., and Rahul Banerjee.

Reference Type BACKGROUND

Szypulska, Małgorzata, and Zbigniew Piotrowski.

Reference Type BACKGROUND

Other Identifiers

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0081-17-HYMC

Identifier Type: -

Identifier Source: org_study_id