Cargando…

Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit

OBJECTIVE: To characterize the rate of monitoring alarms by alarm priority, signal type and developmental age in a Level-IIIB Neonatal Intensive Care Unit (NICU) population. STUDY DESIGN: Retrospective analysis of 2 294 687 alarm messages from Philips monitors in a convenience sample of 917 NICU pat...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Taibo, Matsushima, Minoru, Timpson, Wendy, Young, Susan, Miedema, David, Gupta, Munish, Heldt, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6092211/
https://www.ncbi.nlm.nih.gov/pubmed/29740183
http://dx.doi.org/10.1038/s41372-018-0095-x
_version_ 1783347493153538048
author Li, Taibo
Matsushima, Minoru
Timpson, Wendy
Young, Susan
Miedema, David
Gupta, Munish
Heldt, Thomas
author_facet Li, Taibo
Matsushima, Minoru
Timpson, Wendy
Young, Susan
Miedema, David
Gupta, Munish
Heldt, Thomas
author_sort Li, Taibo
collection PubMed
description OBJECTIVE: To characterize the rate of monitoring alarms by alarm priority, signal type and developmental age in a Level-IIIB Neonatal Intensive Care Unit (NICU) population. STUDY DESIGN: Retrospective analysis of 2 294 687 alarm messages from Philips monitors in a convenience sample of 917 NICU patients, covering 12 001 patient-days. We stratified alarm rates by alarm priority, signal type, postmenstrual age (PMA), and birth weight (BW) and reviewed and adjudicated over 21 000 critical alarms. RESULTS: Of all alarms, 3.6% were critical alarms, 55.0% were advisory alarms, and 41.4% were device alerts. Over 60% of alarms related to oxygenation monitoring. The average alarm rate (±SEM) was 177.1±4.9 [median: 135.9; IQR: 89.2–213.3] alarms/patient-day; the medians varied significantly with PMA and BW (p<0.001) in U-shaped patterns, with higher rates at lower and higher PMA and BW. Based on waveform reviews, over 99% of critical arrhythmia alarms were deemed technically false. CONCLUSIONS: The alarm burden in this NICU population is very significant; the average alarm rate significantly underrepresents alarm rates at low and high PMA and BW. Virtually all critical arrhythmia alarms were artifactual.
format Online
Article
Text
id pubmed-6092211
institution National Center for Biotechnology Information
language English
publishDate 2018
record_format MEDLINE/PubMed
spelling pubmed-60922112018-11-08 Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit Li, Taibo Matsushima, Minoru Timpson, Wendy Young, Susan Miedema, David Gupta, Munish Heldt, Thomas J Perinatol Article OBJECTIVE: To characterize the rate of monitoring alarms by alarm priority, signal type and developmental age in a Level-IIIB Neonatal Intensive Care Unit (NICU) population. STUDY DESIGN: Retrospective analysis of 2 294 687 alarm messages from Philips monitors in a convenience sample of 917 NICU patients, covering 12 001 patient-days. We stratified alarm rates by alarm priority, signal type, postmenstrual age (PMA), and birth weight (BW) and reviewed and adjudicated over 21 000 critical alarms. RESULTS: Of all alarms, 3.6% were critical alarms, 55.0% were advisory alarms, and 41.4% were device alerts. Over 60% of alarms related to oxygenation monitoring. The average alarm rate (±SEM) was 177.1±4.9 [median: 135.9; IQR: 89.2–213.3] alarms/patient-day; the medians varied significantly with PMA and BW (p<0.001) in U-shaped patterns, with higher rates at lower and higher PMA and BW. Based on waveform reviews, over 99% of critical arrhythmia alarms were deemed technically false. CONCLUSIONS: The alarm burden in this NICU population is very significant; the average alarm rate significantly underrepresents alarm rates at low and high PMA and BW. Virtually all critical arrhythmia alarms were artifactual. 2018-05-08 2018-08 /pmc/articles/PMC6092211/ /pubmed/29740183 http://dx.doi.org/10.1038/s41372-018-0095-x Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Li, Taibo
Matsushima, Minoru
Timpson, Wendy
Young, Susan
Miedema, David
Gupta, Munish
Heldt, Thomas
Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit
title Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit
title_full Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit
title_fullStr Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit
title_full_unstemmed Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit
title_short Epidemiology of Patient Monitoring Alarms in the Neonatal Intensive Care Unit
title_sort epidemiology of patient monitoring alarms in the neonatal intensive care unit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6092211/
https://www.ncbi.nlm.nih.gov/pubmed/29740183
http://dx.doi.org/10.1038/s41372-018-0095-x
work_keys_str_mv AT litaibo epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit
AT matsushimaminoru epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit
AT timpsonwendy epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit
AT youngsusan epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit
AT miedemadavid epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit
AT guptamunish epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit
AT heldtthomas epidemiologyofpatientmonitoringalarmsintheneonatalintensivecareunit