Validation of hand motion analysis as an objective assessment tool for the Focused Assessment with Sonography for Trauma examination. Issue 4 (October 2015)
- Record Type:
- Journal Article
- Title:
- Validation of hand motion analysis as an objective assessment tool for the Focused Assessment with Sonography for Trauma examination. Issue 4 (October 2015)
- Main Title:
- Validation of hand motion analysis as an objective assessment tool for the Focused Assessment with Sonography for Trauma examination
- Authors:
- Ziesmann, Markus T.
Park, Jason
Unger, Bertram
Kirkpatrick, Andrew W.
Vergis, Ashley
Pham, Chau
Kirschner, David
Logestty, Sarvesh
Gillman, Lawrence M. - Abstract:
- <abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>BACKGROUND</title> <p>Point-of-care ultrasonography is a standard part of trauma assessments, but there are no objective tools to assess proficiency and ensure high-quality examinations. Hand motion analysis (HMA) has been validated as a measure of surgical skill but has not previously been applied to ultrasonography. HMA was assessed for construct validity in Focused Assessment with Sonography for Trauma (FAST) performance.</p> </sec> <sec> <title>METHODS</title> <p>Two cohorts of 12 expert and 12 novice ultrasonographers performed a FAST examination on a healthy volunteer. Hand motions were recorded with the trakSTAR 3D electromagnetic motion-tracking device (Ascension Technology) and analyzed using our custom-designed Motion Analysis and Recording System (MARS) software. Data were recorded at 240 Hz. Outcomes included time of examination, number of movements, and path length.</p> </sec> <sec> <title>RESULTS</title> <p>Time of examination was not different between cohorts (expert, 345.9 seconds; novice, 475.7 seconds; <italic>p</italic> = 0.12). Total path length of travel was shorter, and the number of discreet movements was less in the expert cohort for the left-hand (18.52 m vs. 28.01 m, <italic>p</italic> = 0.03, and 109.5 vs. 193.9, <italic>p</italic> = 0.027, respectively) and the right-hand performance (14.25 m vs. 32.09 m, <italic>p</italic> &lt; 0.01, and 153.5 vs. 258.5,<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>BACKGROUND</title> <p>Point-of-care ultrasonography is a standard part of trauma assessments, but there are no objective tools to assess proficiency and ensure high-quality examinations. Hand motion analysis (HMA) has been validated as a measure of surgical skill but has not previously been applied to ultrasonography. HMA was assessed for construct validity in Focused Assessment with Sonography for Trauma (FAST) performance.</p> </sec> <sec> <title>METHODS</title> <p>Two cohorts of 12 expert and 12 novice ultrasonographers performed a FAST examination on a healthy volunteer. Hand motions were recorded with the trakSTAR 3D electromagnetic motion-tracking device (Ascension Technology) and analyzed using our custom-designed Motion Analysis and Recording System (MARS) software. Data were recorded at 240 Hz. Outcomes included time of examination, number of movements, and path length.</p> </sec> <sec> <title>RESULTS</title> <p>Time of examination was not different between cohorts (expert, 345.9 seconds; novice, 475.7 seconds; <italic>p</italic> = 0.12). Total path length of travel was shorter, and the number of discreet movements was less in the expert cohort for the left-hand (18.52 m vs. 28.01 m, <italic>p</italic> = 0.03, and 109.5 vs. 193.9, <italic>p</italic> = 0.027, respectively) and the right-hand performance (14.25 m vs. 32.09 m, <italic>p</italic> &lt; 0.01, and 153.5 vs. 258.5, <italic>p</italic> = 0.03, respectively) versus the novice cohort. Both total path length traveled and total number of discreet movements were associated with expertise level in logistic regression modeling with areas under the receiver operating characteristic curves of 0.8269 and 0.8205, respectively.</p> </sec> <sec> <title>CONCLUSION</title> <p>This is the first study in the medical literature showing HMA as an objective, valid measure of FAST imaging performance. These objective, automated metrics can function as an adjunct measure to assess FAST performance as well as follow progress of and provide feedback to learners to improve future performances.</p> </sec> <sec> <title>LEVEL OF EVIDENCE</title> <p>A "diagnostic criteria"–style test where the "diagnosis" is a determination of competence in a care provider, level II.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of trauma and acute care surgery. Volume 79:Issue 4(2015:Oct.)
- Journal:
- Journal of trauma and acute care surgery
- Issue:
- Volume 79:Issue 4(2015:Oct.)
- Issue Display:
- Volume 79, Issue 4 (2015)
- Year:
- 2015
- Volume:
- 79
- Issue:
- 4
- Issue Sort Value:
- 2015-0079-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-10
- Subjects:
- Surgical intensive care -- Periodicals
Surgical emergencies -- Periodicals
Wounds and injuries -- Surgery -- Periodicals
617.026 - Journal URLs:
- http://journals.lww.com/jtrauma/pages/default.aspx ↗
http://ovidsp.tx.ovid.com/sp-3.5.0b/ovidweb.cgi?&S=NEIKFPIGHGDDBOHLNCALMDIBGLDKAA00&Browse=Toc+Children%7cNO%7cS.sh.2697_1327404888_15.2697_1327404888_27.2697_1327404888_28%7c273%7c50 ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/TA.0000000000000813 ↗
- Languages:
- English
- ISSNs:
- 2163-0755
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5070.510500
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