Simulation to Assess Cognitive Workload and Task Load IndeX (TLX) Performance

NCT ID: NCT03175484

Last Updated: 2018-07-17

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

COMPLETED

Total Enrollment

84 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-06-01

Study Completion Date

2017-12-22

Brief Summary

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High-fidelity simulation (HFS) is a learning method extensively used for training of surgical specialty (including anesthesia) and nurses. It has a beneficial effect on knowledge of algorithms, team working, early warning scores, and communication. Various skills can be learned using a standardized simulation programs.

The complexity of instructional design may produce cognitive overload, high stress level and anxiety. This may increase fatigue, facilitate errors, and is associated with inferior task performance which may impede memorization of learned skills resulting in inefficient learning/simulation failure. Subjectively reported scales can accurately identify the level of perceived workload and mental demand in individuals during simulation tasks. One example is the National Aeronautics and Space Administration (NASA)-TLX - the most accepted subjective measure of human workload in various industries including medicine.

Surgical specialty (including anesthesia) and nurses training curriculum in Lyon, France, includes several HFS scenarios with a large panel of critical events. The investigators aim to evaluate the effect of burden of workload and stress perceived by surgical specialty (including anesthesia) residents and nurses during HFS on the learning performance, and to grade different learning scenarios by their difficulty.

Detailed Description

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In this observational study investigators aim to measure anesthesiology, surgeon residents and nurses' workload, stress level, and performance on high-fidelity simulation scenarios used routinely in the current anesthesiology, nurse and surgical training curriculum. A NASA TLX scale, 100 points numeric scale for anxiety (0 - no anxiety; 100 - maximal anxiety), automated quantitative pupillometry, Team Emergency Assessment Measure scale will be used to evaluate a workload, anxiety, stress, and performance. Age, sex, previous experience of HFS will be noted. All data will be anonymized. The participation in this study is voluntary and one can withdraw from this study at any time prior to or after the completion of any interview without any penalty.

Two investigators will independently evaluate the performance of HFS by direct observation and video record if necessary. NASA TLX questionnaire will be administrated immediately after HFS scenario and before the debriefing. Anxiety scale and pupillometry will be administrated before the beginning of HFS scenario and upon its completion.

Conditions

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Healthy

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Observation TLX

surgical specialty ( including anesthesia) residents and nurses undergoing High Fidelity Simulation scenarios.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Lyon University medical student status on the day of the study
* Enrolled in surgical specialty (including anesthesia) simulation training program

or

* Lyon Anesthesia Nurses School student status on the day of the study
* Enrolled in surgical specialty (including anesthesia) simulation training program
* voluntary

Exclusion Criteria

* denial to participate
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Claude Bernard University

OTHER

Sponsor Role lead

Responsible Party

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Lilot Marc

MD

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Marc Lilot, MD

Role: PRINCIPAL_INVESTIGATOR

CLESS

Locations

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CLESS

Lyon, Auvergne-Rhône-Alpes, France

Site Status

Countries

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France

Other Identifiers

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HFS-TLX-Lyon

Identifier Type: -

Identifier Source: org_study_id

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