Literature DB >> 25734193

Alarm system management: evidence-based guidance encouraging direct measurement of informativeness to improve alarm response.

Michael F Rayo1, Susan D Moffatt-Bruce2.   

Abstract

Although there are powerful incentives for creating alarm management programmes to reduce 'alarm fatigue', they do not provide guidance on how to reduce the likelihood that clinicians will disregard critical alarms. The literature cites numerous phenomena that contribute to alarm fatigue, although many of these, including total rate of alarms, are not supported in the literature as factors that directly impact alarm response. The contributor that is most frequently associated with alarm response is informativeness, which is defined as the proportion of total alarms that successfully conveys a specific event, and the extent to which it is a hazard. Informativeness is low across all healthcare applications, consistently ranging from 1% to 20%. Because of its likelihood and strong evidential support, informativeness should be evaluated before other contributors are considered. Methods for measuring informativeness and alarm response are discussed. Design directions for potential interventions, as well as design alternatives to traditional alarms, are also discussed. With the increased attention and investment in alarm system management that alarm interventions are currently receiving, initiatives that focus on informativeness and the other evidence-based measures identified will allow us to more effectively, efficiently and reliably redirect clinician attention, ultimately improving alarm response. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Evidence-based medicine; Human factors; Interruptions

Mesh:

Year:  2015        PMID: 25734193     DOI: 10.1136/bmjqs-2014-003373

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  11 in total

1.  Assessment of Nursing Response to a Real-Time Alerting Tool for Sepsis: A Provider Survey.

Authors:  Kristen Miller; Rebecca Kowalski; Muge Capan; Pan Wu; Danielle Mosby; Ryan Arnold
Journal:  Am J Hosp Med       Date:  2017-07-19

Review 2.  Clinical Decision Support Systems.

Authors:  Andreas Teufel; Harald Binder
Journal:  Visc Med       Date:  2021-09-28

3.  Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data.

Authors:  Lujie Chen; Artur Dubrawski; Donghan Wang; Madalina Fiterau; Mathieu Guillame-Bert; Eliezer Bose; Ata M Kaynar; David J Wallace; Jane Guttendorf; Gilles Clermont; Michael R Pinsky; Marilyn Hravnak
Journal:  Crit Care Med       Date:  2016-07       Impact factor: 7.598

4.  Sounds good: the bright future of clinical alarm management initiatives.

Authors:  Halley Ruppel; Christopher P Bonafide
Journal:  BMJ Qual Saf       Date:  2020-02-21       Impact factor: 7.035

5.  Lessons from the Glass Cockpit: Innovation in Alarm Systems to Support Cognitive Work.

Authors:  Randall J Mumaw; Emilie M Roth; Emily S Patterson
Journal:  Biomed Instrum Technol       Date:  2021-01-01

6.  Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective Analysis.

Authors:  Denny Yu; Marian Obuseh; Poching DeLaurentis
Journal:  Appl Clin Inform       Date:  2021-06-30       Impact factor: 2.762

7.  Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.

Authors:  Jessica S Ancker; Alison Edwards; Sarah Nosal; Diane Hauser; Elizabeth Mauer; Rainu Kaushal
Journal:  BMC Med Inform Decis Mak       Date:  2017-04-10       Impact factor: 2.796

8.  The heuristics of nurse responsiveness to critical patient monitor and ventilator alarms in a private room neonatal intensive care unit.

Authors:  Rohan Joshi; Heidi van de Mortel; Loe Feijs; Peter Andriessen; Carola van Pul
Journal:  PLoS One       Date:  2017-10-05       Impact factor: 3.240

9.  Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms.

Authors:  Daniel C McFarlane; Alexa K Doig; James A Agutter; Lara M Brewer; Noah D Syroid; Ranjeev Mittu
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

10.  Testing physiologic monitor alarm customization software to reduce alarm rates and improve nurses' experience of alarms in a medical intensive care unit.

Authors:  Halley Ruppel; Laura De Vaux; Dawn Cooper; Steffen Kunz; Bernd Duller; Marjorie Funk
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

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