Cargando…

Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population

BACKGROUND: The cacophony of alerts and alarms in a hospital produced by medical devices results in alarm fatigue. The pulse oximeter is one of the most common sources of alarms. One of the ways to reduce alarm rates is to adjust alarm settings at the bedside. This study is aimed to retrospectively...

Descripción completa

Detalles Bibliográficos
Autores principales: Lansdowne, Krystal, Strauss, David G., Scully, Christopher G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891882/
https://www.ncbi.nlm.nih.gov/pubmed/27274710
http://dx.doi.org/10.1186/s12912-016-0149-3
_version_ 1782435340864192512
author Lansdowne, Krystal
Strauss, David G.
Scully, Christopher G.
author_facet Lansdowne, Krystal
Strauss, David G.
Scully, Christopher G.
author_sort Lansdowne, Krystal
collection PubMed
description BACKGROUND: The cacophony of alerts and alarms in a hospital produced by medical devices results in alarm fatigue. The pulse oximeter is one of the most common sources of alarms. One of the ways to reduce alarm rates is to adjust alarm settings at the bedside. This study is aimed to retrospectively examine individual pulse oximeter alarm settings on alarm rates and inter- and intra- patient variability. METHODS: Nine hundred sixty-two previously collected intensive care unit (ICU) patient records were obtained from the Multiparameter Intelligent Monitoring in Intensive Care II Database (Beth Israel Deaconess Medical Center, Boston, MA). Inclusion criteria included patient records that contained SpO(2) trend data sampled at 1 Hz for at least 1 h and a matching clinical record. SpO(2) alarm rates were simulated by applying a range of thresholds (84, 86, 88, and 90 %) and delay times (10 to 60 s) to the SpO(2) data. Patient records with at least 12 h of SpO(2) data were examined for the variability in alarm rate over time. RESULTS: Decreasing SpO(2) thresholds and increasing delay times resulted in decreased alarm rates. A limited number of patient records accounted for most alarms, and this number increased as alarm settings loosened (the top 10 % of patient records were responsible for 57.4 % of all alarms at an SpO(2) threshold of 90 % and 15 s delay and 81.6 % at an SpO2 threshold of 84 % and 45 s delay). Alarm rates were not consistent over time for individual patients with periods of high and low alarms for all alarm settings. CONCLUSION: Pulse oximeter SpO(2) alarm rates are variable between patients and over time, and the alarm rate and the extent of inter- and intra-patient variability can be affected by the alarm settings. Personalized alarm settings for a patient’s current status may help to reduce alarm fatigue for nurses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12912-016-0149-3) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4891882
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-48918822016-06-04 Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population Lansdowne, Krystal Strauss, David G. Scully, Christopher G. BMC Nurs Research Article BACKGROUND: The cacophony of alerts and alarms in a hospital produced by medical devices results in alarm fatigue. The pulse oximeter is one of the most common sources of alarms. One of the ways to reduce alarm rates is to adjust alarm settings at the bedside. This study is aimed to retrospectively examine individual pulse oximeter alarm settings on alarm rates and inter- and intra- patient variability. METHODS: Nine hundred sixty-two previously collected intensive care unit (ICU) patient records were obtained from the Multiparameter Intelligent Monitoring in Intensive Care II Database (Beth Israel Deaconess Medical Center, Boston, MA). Inclusion criteria included patient records that contained SpO(2) trend data sampled at 1 Hz for at least 1 h and a matching clinical record. SpO(2) alarm rates were simulated by applying a range of thresholds (84, 86, 88, and 90 %) and delay times (10 to 60 s) to the SpO(2) data. Patient records with at least 12 h of SpO(2) data were examined for the variability in alarm rate over time. RESULTS: Decreasing SpO(2) thresholds and increasing delay times resulted in decreased alarm rates. A limited number of patient records accounted for most alarms, and this number increased as alarm settings loosened (the top 10 % of patient records were responsible for 57.4 % of all alarms at an SpO(2) threshold of 90 % and 15 s delay and 81.6 % at an SpO2 threshold of 84 % and 45 s delay). Alarm rates were not consistent over time for individual patients with periods of high and low alarms for all alarm settings. CONCLUSION: Pulse oximeter SpO(2) alarm rates are variable between patients and over time, and the alarm rate and the extent of inter- and intra-patient variability can be affected by the alarm settings. Personalized alarm settings for a patient’s current status may help to reduce alarm fatigue for nurses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12912-016-0149-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-02 /pmc/articles/PMC4891882/ /pubmed/27274710 http://dx.doi.org/10.1186/s12912-016-0149-3 Text en © COPYRIGHT NOTICE 2016 The article is a work of the United States Government; Title 17 U.S.C 105 provides that copyright protection is not available for any work of the United States government in the United States. Additionally, this is an open access article distributed under the terms of the Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0), which permits worldwide unrestricted use, distribution, and reproduction in any medium for any lawful purpose.
spellingShingle Research Article
Lansdowne, Krystal
Strauss, David G.
Scully, Christopher G.
Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
title Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
title_full Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
title_fullStr Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
title_full_unstemmed Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
title_short Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
title_sort retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891882/
https://www.ncbi.nlm.nih.gov/pubmed/27274710
http://dx.doi.org/10.1186/s12912-016-0149-3
work_keys_str_mv AT lansdownekrystal retrospectiveanalysisofpulseoximeteralarmsettingsinanintensivecareunitpatientpopulation
AT straussdavidg retrospectiveanalysisofpulseoximeteralarmsettingsinanintensivecareunitpatientpopulation
AT scullychristopherg retrospectiveanalysisofpulseoximeteralarmsettingsinanintensivecareunitpatientpopulation