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Motion Capture Measures Variability in Laryngoscopic Movement During Endotracheal Intubation: A Preliminary Report

Carlson, Jestin N. MD; Das, Samarjit PhD; De la Torre, Fernando PhD; Callaway, Clifton W. MD, PhD; Phrampus, Paul E. MD; Hodgins, Jessica PhD

doi: 10.1097/SIH.0b013e318258975a
Technical Reports

Introduction Success rates with emergent endotracheal intubation (ETI) improve with increasing provider experience. Few objective metrics exist to quantify differences in ETI technique between providers of various skill levels. We tested the feasibility of using motion capture videography to quantify variability in the motions of the left hand and the laryngoscope in providers with various experience.

Methods Three providers with varying levels of experience [attending physician (experienced), emergency medicine resident (intermediate), and postdoctoral student with no previous ETI experience (novice)] each performed ETI 4 times on a mannequin. Vicon, a 16-camera system, tracked the 3-dimensional orientation and movement of markers on the providers, handle of the laryngoscope, and mannequin. Attempt duration, path length of the left hand, and the inclination of the plane of the laryngoscope handle (mean square angular deviation from vertical) were calculated for each laryngoscopy attempt. We compared interattempt and interprovider variability of each measure.

Results All ETI attempts were successful. Mean (SD) duration of laryngoscopy attempts differed between experienced [5.50 (0.68) seconds], intermediate [6.32 (1.13) seconds], and novice [12.38 (1.06) seconds] providers (P = 0.021). Mean path length of the left hand did not differ between providers (P = 0.37). Variability of the plane of the laryngoscope differed between providers: 8.3 (experienced), 28.7 (intermediate), and 54.5 (novice) degrees squared.

Conclusions Motion analysis can detect interprovider differences in hand and laryngoscope movements during ETI, which may be related to provider experience. This technology has potential to objectively measure training and skill in ETI.

From the Departments of Emergency Medicine (J.N.C., C.W.C., P.E.P.), Anesthesiology (P.E.P.), and Pharmacology and Chemical Biology (C.W.C.), University of Pittsburgh; and Robotics Institute (S.D., F.D.l.T., J.H.), Carnegie Mellon University, Pittsburgh, PA.

Paul E. Phrampus is currently a consultant for Karl Storz Endoskopy.

The authors declare no conflicts of interest.

Supported by a grant from the National Science Foundation (No. 0931999) (to S.D., F.D.l.T., and J.H.) and a grant from the National Heart, Lung, and Blood Institute (1K12HL109068-01) and through a collaborative grant from the Resuscitation Outcome Consortium (5U01HL077871-07) (to C.W.C.). P.E.P. is supported as a consultant for Karl Storz Endoskopy that provided equipment for the study.

Presented at the National Association of Emergency Medical Service Physicians Annual Meeting, Tucson, AZ, January 2012.

Reprints: Jestin N. Carlson, MD, Department of Emergency Medicine, University of Pittsburgh, 3600 Forbes Ave, Suite 400A Iroquois Bldg, Pittsburgh, PA 15213 (e-mail: carlsonjn@upmc.edu).

© 2012 Society for Simulation in Healthcare