Literature DB >> 18227306

Are melodic medical equipment alarms easily learned?

Alexandra N Wee1, Penelope M Sanderson.   

Abstract

BACKGROUND: We tested melodic auditory alarms recommended in the IEC 60601-1-8 standard for medical electrical equipment for ease of learning and discrimination, and for effectiveness during a timeshared task.
METHODS: Twenty-two critical care nurses learned the IEC 60601-1-8 melodic alarms over two training sessions more than a week apart, with or without mnemonics suggested in the standard. Subsequently, the nurses identified alarms arriving at quasi random intervals while performing a timeshared arithmetic task.
RESULTS: Only one nurse (4.5%) identified the alarms with 100% accuracy after two training sessions. Mnemonics did not improve overall alarm identification accuracy (mnemonic = 56%, nonmnemonic = 55%) but led to a narrower range of confusions between alarms. Nurses responded faster (P < 0.0001) and more accurately (P = 0.032) to medium priority than high priority alarms, despite rating high priority alarms as sounding more urgent (P < 0.0001). Nurses with at least 1 yr of formal musical training identified the alarms much more accurately (musical training = 73%, no musical training = 38%, P < 0.0001), perceived a greater distinction between high and medium priority alarms (P = 0.002), and found identifying the alarms easier overall (P = 0.023). During the timeshared task, nurses' responses were slower (P = 0.002) and became less accurate (P = 0.02).
CONCLUSIONS: The slow rate of learning and persistent confusions suggest that the IEC 60601-1-8 melodic alarms should be redesigned before they are adopted for clinical practice.

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Year:  2008        PMID: 18227306     DOI: 10.1213/01.ane.0000286148.58823.6c

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  4 in total

1.  A nurses' alarm fatigue questionnaire: development and psychometric properties.

Authors:  Camellia Torabizadeh; Amirhossein Yousefinya; Farid Zand; Mahnaz Rakhshan; Mohammad Fararooei
Journal:  J Clin Monit Comput       Date:  2016-11-15       Impact factor: 2.502

Review 2.  Medical audible alarms: a review.

Authors:  Judy Edworthy
Journal:  J Am Med Inform Assoc       Date:  2012-10-25       Impact factor: 4.497

3.  Melodic algorithms for pulse oximetry to allow audible discrimination of abnormal systolic blood pressures.

Authors:  Ranjit S Chima; Rafael Ortega; Christopher W Connor
Journal:  J Clin Monit Comput       Date:  2014-01-29       Impact factor: 2.502

4.  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 in total

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