Literature DB >> 29698253

Auditory Icon Alarms Are More Accurately and Quickly Identified than Current Standard Melodic Alarms in a Simulated Clinical Setting.

Richard R McNeer1, Danielle Bodzin Horn, Christopher L Bennett, Judy Reed Edworthy, Roman Dudaryk.   

Abstract

BACKGROUND: Current standard audible medical alarms are difficult to learn and distinguish from one another. Auditory icons represent a new type of alarm that has been shown to be easier to learn and identify in laboratory settings by lay subjects. In this study, we test the hypothesis that icon alarms are easier to learn and identify than standard alarms by anesthesia providers in a simulated clinical setting.
METHODS: Twenty anesthesia providers were assigned to standard or icon groups. Experiments were conducted in a simulated intensive care unit. After a brief group-specific alarm orientation, subjects identified patient-associated alarm sounds during the simulation and logged responses via a tablet computer. Each subject participated in the simulation twice and was exposed to 32 alarm annunciations. Primary outcome measures were response accuracy and response times. Secondary outcomes included assessments of perceived fatigue and task load.
RESULTS: Overall accuracy rate in the standard alarm group was 43% (mean) and in the icon group was 88% (mean). Subjects in the icon group were 26.1 (odds ratio [98.75% CI, 8.4 to 81.5; P < 0.001]) times more likely to correctly identify an alarm. Response times in the icon group were shorter than in the standard alarm group (12 vs. 15 s, difference 3 s [98.75% CI ,1 to 5; P < 0.001]).
CONCLUSIONS: Under our simulated conditions, anesthesia providers more correctly and quickly identified icon alarms than standard alarms. Subjects were more likely to perceive higher fatigue and task load when using current standard alarms than icon alarms.

Entities:  

Mesh:

Year:  2018        PMID: 29698253     DOI: 10.1097/ALN.0000000000002234

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  6 in total

1.  Organizing Audible Alarm Sounds in the Hospital: A Card-Sorting Study.

Authors:  Melanie C Wright; Sydney Radcliffe; Suzanne Janzen; Judy Edworthy; Thomas Reese; Noa Segall
Journal:  IEEE Trans Hum Mach Syst       Date:  2020-09-14       Impact factor: 2.968

2.  Anesthesia personnel's visual attention regarding patient monitoring in simulated non-critical and critical situations, an eye-tracking study.

Authors:  Tadzio R Roche; Elise J C Maas; Sadiq Said; Julia Braun; Carl Machado; Donat R Spahn; Christoph B Noethiger; David W Tscholl
Journal:  BMC Anesthesiol       Date:  2022-05-30       Impact factor: 2.376

3.  Development and Validation of an Algorithm for the Identification of Audible Medical Alarms.

Authors:  Paul Potnuru; Richard H Epstein; Richard McNeer; Christopher Bennett
Journal:  Cureus       Date:  2020-11-18

4.  The Impact of Different Types of Auditory Warnings on Working Memory.

Authors:  Zhaoli Lei; Shu Ma; Hongting Li; Zhen Yang
Journal:  Front Psychol       Date:  2022-02-25

5.  Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study.

Authors:  Arsène Ljubenovic; Sadiq Said; Julia Braun; Bastian Grande; Michaela Kolbe; Donat R Spahn; Christoph B Nöthiger; David W Tscholl; Tadzio R Roche
Journal:  JMIR Serious Games       Date:  2022-03-22       Impact factor: 3.364

6.  Improved Task Performance, Low Workload, and User-Centered Design in Medical Diagnostic Equipment Enhance Decision Confidence of Anesthesia Providers: A Meta-Analysis and a Multicenter Online Survey.

Authors:  Alexandra D Budowski; Lisa Bergauer; Clara Castellucci; Julia Braun; Christoph B Nöthiger; Donat R Spahn; David W Tscholl; Tadzio R Roche
Journal:  Diagnostics (Basel)       Date:  2022-07-29
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.