Literature DB >> 8141449

Monitor surveillance and vigilance of anesthesia residents.

R G Loeb1.   

Abstract

BACKGROUND: Anesthesia residents take longer to detect changes in electronically monitored data during the induction phase of anesthesia during the maintenance phase. This study was performed to investigate the reasons for this delay and to validate a method of measuring vigilance.
METHODS: The activity of ten residents was studied during 73 surgical procedures. Data were collected during three 15-min periods from each case: induction, starting with application of the electrocardiograph; maintenance, an arbitrary period between induction and emergence; and emergence, ending with detachment of the electrocardiograph. Vigilance was measured as the time taken to detect a change, from normal to abnormal, of an artificial parameter displayed on the physiologic monitor (response time). An observer simultaneously recorded each time that the resident looked toward the monitors.
RESULTS: Vigilance to the monitor display was less during induction and emergence than during maintenance (P < 0.005). Residents spent less total time watching monitors during induction than during maintenance (P < 0.005), and the duration of each monitor observation was shorter (P < 0.0005). Anesthesia residents usually looked at the monitors several times before detecting the abnormal value. The measure of anesthesia vigilance correlated with independent measures of monitor watching time and frequency.
CONCLUSIONS: The results suggest that during induction of anesthesia, which is a period of high anesthesiologist workload, residents glance toward monitors to gather data rather than scan displays. The results help to validate the method for measuring anesthesia vigilance.

Mesh:

Year:  1994        PMID: 8141449     DOI: 10.1097/00000542-199403000-00008

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


  12 in total

1.  Anesthesia recordkeeping: accuracy of recall with computerized and manual entry recordkeeping.

Authors:  Thomas Corey Davis; Jeffrey A Green; Alexander Colquhoun; Brenda L Hage; Chuck Biddle
Journal:  J Clin Monit Comput       Date:  2012-03-17       Impact factor: 2.502

2.  Technologies and solutions for data display in the operating room.

Authors:  Noemi Bitterman
Journal:  J Clin Monit Comput       Date:  2006-05-11       Impact factor: 2.502

3.  Human factors research in anesthesia patient safety.

Authors:  M B Weinger; J Slagle
Journal:  Proc AMIA Symp       Date:  2001

4.  Effects of divided attention and operating room noise on perception of pulse oximeter pitch changes: a laboratory study.

Authors:  Ryan A Stevenson; Joseph J Schlesinger; Mark T Wallace
Journal:  Anesthesiology       Date:  2013-02       Impact factor: 7.892

5.  Manual record keeping is not necessary for anesthesia vigilance.

Authors:  R G Loeb
Journal:  J Clin Monit       Date:  1995-01

Review 6.  Augmenting Critical Care Patient Monitoring Using Wearable Technology: Review of Usability and Human Factors.

Authors:  Evismar Andrade; Leo Quinlan; Richard Harte; Dara Byrne; Enda Fallon; Martina Kelly; Siobhan Casey; Frank Kirrane; Paul O'Connor; Denis O'Hora; Michael Scully; John Laffey; Patrick Pladys; Alain Beuchée; Gearoid ÓLaighin
Journal:  JMIR Hum Factors       Date:  2021-05-25

Review 7.  Measurement of mental workload in clinical medicine: a review study.

Authors:  Aidan Byrne
Journal:  Anesth Pain Med       Date:  2011-09-26

8.  User perceptions of avatar-based patient monitoring: a mixed qualitative and quantitative study.

Authors:  David W Tscholl; Mona Weiss; Lucas Handschin; Donat R Spahn; Christoph B Nöthiger
Journal:  BMC Anesthesiol       Date:  2018-12-11       Impact factor: 2.217

9.  Standardised electronic algorithms for monitoring prophylaxis of postoperative nausea and vomiting.

Authors:  Hans-Jörg Gillmann; Sascha Wasilenko; Jonathan Züger; Antje Petersen; Anna Klemann; Andreas Leffler; Thomas Stueber
Journal:  Arch Med Sci       Date:  2019-03-04       Impact factor: 3.318

10.  Avatar-Based Patient Monitoring With Peripheral Vision: A Multicenter Comparative Eye-Tracking Study.

Authors:  Juliane Pfarr; David W Tscholl; Michael T Ganter; Donat R Spahn; Christoph B Noethiger
Journal:  J Med Internet Res       Date:  2019-07-17       Impact factor: 5.428

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