Faster Time to Treatment Decision of Viscoelastic Coagulation Test Results through Improved Perception with the Animated Visual Clot: A Multicenter Comparative Eye-Tracking Study.

Visual Clot avatar blood coagulation eye-tracking point-of-care rotational thromboelastometry viscoelastic test visual perception

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
19 May 2022
Historique:
received: 31 03 2022
revised: 10 05 2022
accepted: 17 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

As the interpretation of viscoelastic coagulation test results remains challenging, we created Visual Clot, an animated blood clot aiming to facilitate raw rotational thromboelastometry (ROTEM) parameters. This study investigated anesthesia personnel’s cognitive processing in managing simulated bleeding scenarios using eye-tracking technology. This multicenter, international, computer-based study across five large, central European hospitals included 35 participants with minimal to no prior experience interpreting viscoelastic test results. Using eye-tracking technology and an iPad tagged with quick response codes, we defined the time to treatment decision and the time on screen surface in seconds of correctly solved scenarios as our outcomes. The median time to treatment decision was 52 s for Visual Clot and 205 s for ROTEM (p < 0.0001). The probability of solving the scenario correctly was more than 8 times higher when using Visual Clot than when using ROTEM (Hazard ratio [HR] 8.54, 95% CI from 6.5 to 11.21; p < 0.0001). Out of 194 correctly answered scenarios of participants with the eye-tracker, 154 (79.4%) were solved with Visual Clot and 40 (20.6%) with ROTEM. Participants spent on average 30 s less looking at the screen surface with Visual Clot compared to ROTEM (Coefficient −30.74 s, 95% CI from −39.27 to −22.27; p < 0.0001). For a comparison of the two modalities in terms of information transfer, we calculated the percentage of time on the screen surface of the overall time to treatment decision, which with Visual Clot was 14 percentage points shorter than with ROTEM (Coefficient −14.55, 95% CI from −20.05 to −9.12; p < 0.0001). Visual Clot seems to improve perception and detection of coagulopathies and leads to earlier initiation of the appropriate treatment. In a high-pressure working environment such as the operating and the resuscitation room, correct and timely decisions regarding bleeding management may have a relevant impact on patients’ outcomes.

Identifiants

pubmed: 35626425
pii: diagnostics12051269
doi: 10.3390/diagnostics12051269
pmc: PMC9140857
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

JMIR Serious Games. 2020 Dec 4;8(4):e19036
pubmed: 33172834
Semin Thromb Hemost. 2017 Jun;43(4):367-374
pubmed: 28297730
Health Technol Assess. 2015 Jul;19(58):1-228, v-vi
pubmed: 26215747
Transplant Proc. 2018 Dec;50(10):3552-3558
pubmed: 30577236
Cochrane Database Syst Rev. 2016 Aug 22;(8):CD007871
pubmed: 27552162
Hum Factors. 2003 Fall;45(3):349-59
pubmed: 14702988
Anaesthesia. 2017 Nov;72(11):1317-1326
pubmed: 28542848
Br J Anaesth. 2018 Sep;121(3):662-671
pubmed: 30115265
Br J Anaesth. 2017 Jun 1;118(6):823-833
pubmed: 28475665
J Med Internet Res. 2021 May 3;23(5):e27124
pubmed: 33843602
Psychol Rev. 1980 Jul;87(4):329-54
pubmed: 7413885
JMIR Serious Games. 2022 Mar 22;10(1):e35642
pubmed: 35172958
Biomed Sci Instrum. 1995;31:229-33
pubmed: 7654968
JMIR Res Protoc. 2016 Jan 05;5(1):e4
pubmed: 26732090
Comput Med Imaging Graph. 2018 Apr;65:176-190
pubmed: 28606763
Lab Med. 2015 Spring;46(2):e46-52
pubmed: 26169658
BMC Anesthesiol. 2018 Dec 11;18(1):188
pubmed: 30537934
Can J Psychol. 1992 Sep;46(3):342-76
pubmed: 1486551
Am J Emerg Med. 2020 Dec;38(12):2661-2666
pubmed: 33071074
Crit Care. 2019 Mar 27;23(1):98
pubmed: 30917843
Anaesthesia. 2019 Aug;74(8):984-991
pubmed: 30950521
Crit Care Med. 2011 Dec;39(12):2652-8
pubmed: 21765358
Klin Wochenschr. 1948 Oct 1;26(37-38):577-83
pubmed: 18101974
J Med Internet Res. 2020 Mar 16;22(3):e15070
pubmed: 32175913
Anaesthesia. 2020 Aug;75(8):1059-1069
pubmed: 32030729

Auteurs

Clara Castellucci (C)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

Julia Braun (J)

Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, 8001 Zurich, Switzerland.

Sadiq Said (S)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

Tadzio Raoul Roche (TR)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

Christoph B Nöthiger (CB)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

Donat R Spahn (DR)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

David W Tscholl (DW)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

Samira Akbas (S)

Institute of Anesthesiology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.

Classifications MeSH