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An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome

OBJECTIVE: Computer-aided decision tools may speed recognition of acute respiratory distress syndrome (ARDS) and promote consistent, timely treatment using lung-protective ventilation (LPV). This study evaluated implementation and service (process) outcomes with deployment and use of a clinical deci...

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Autores principales: Knighton, Andrew J, Kuttler, Kathryn G, Ranade-Kharkar, Pallavi, Allen, Lauren, Throne, Taylor, Jacobs, Jason R, Carpenter, Lori, Winberg, Carrie, Johnson, Kyle, Shrestha, Neer, Ferraro, Jeffrey P, Wolfe, Doug, Peltan, Ithan D, Srivastava, Rajendu, Grissom, Colin K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263532/
https://www.ncbi.nlm.nih.gov/pubmed/35815095
http://dx.doi.org/10.1093/jamiaopen/ooac050
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author Knighton, Andrew J
Kuttler, Kathryn G
Ranade-Kharkar, Pallavi
Allen, Lauren
Throne, Taylor
Jacobs, Jason R
Carpenter, Lori
Winberg, Carrie
Johnson, Kyle
Shrestha, Neer
Ferraro, Jeffrey P
Wolfe, Doug
Peltan, Ithan D
Srivastava, Rajendu
Grissom, Colin K
author_facet Knighton, Andrew J
Kuttler, Kathryn G
Ranade-Kharkar, Pallavi
Allen, Lauren
Throne, Taylor
Jacobs, Jason R
Carpenter, Lori
Winberg, Carrie
Johnson, Kyle
Shrestha, Neer
Ferraro, Jeffrey P
Wolfe, Doug
Peltan, Ithan D
Srivastava, Rajendu
Grissom, Colin K
author_sort Knighton, Andrew J
collection PubMed
description OBJECTIVE: Computer-aided decision tools may speed recognition of acute respiratory distress syndrome (ARDS) and promote consistent, timely treatment using lung-protective ventilation (LPV). This study evaluated implementation and service (process) outcomes with deployment and use of a clinical decision support (CDS) synchronous alert tool associated with existing computerized ventilator protocols and targeted patients with possible ARDS not receiving LPV. MATERIALS AND METHODS: We performed an explanatory mixed methods study from December 2019 to November 2020 to evaluate CDS alert implementation outcomes across 13 intensive care units (ICU) in an integrated healthcare system with >4000 mechanically ventilated patients annually. We utilized quantitative methods to measure service outcomes including CDS alert tool utilization, accuracy, and implementation effectiveness. Attitudes regarding the appropriateness and acceptability of the CDS tool were assessed via an electronic field survey of physicians and advanced practice providers. RESULTS: Thirty-eight percent of study encounters had at least one episode of LPV nonadherence. Addition of LPV treatment detection logic prevented an estimated 1812 alert messages (41%) over use of disease detection logic alone. Forty-eight percent of alert recommendations were implemented within 2 h. Alert accuracy was estimated at 63% when compared to gold standard ARDS adjudication, with sensitivity of 85% and positive predictive value of 62%. Fifty-seven percent of survey respondents observed one or more benefits associated with the alert. CONCLUSION: Introduction of a CDS alert tool based upon ARDS risk factors and integrated with computerized ventilator protocol instructions increased visibility to gaps in LPV use and promoted increased adherence to LPV.
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spelling pubmed-92635322022-07-08 An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome Knighton, Andrew J Kuttler, Kathryn G Ranade-Kharkar, Pallavi Allen, Lauren Throne, Taylor Jacobs, Jason R Carpenter, Lori Winberg, Carrie Johnson, Kyle Shrestha, Neer Ferraro, Jeffrey P Wolfe, Doug Peltan, Ithan D Srivastava, Rajendu Grissom, Colin K JAMIA Open Research and Applications OBJECTIVE: Computer-aided decision tools may speed recognition of acute respiratory distress syndrome (ARDS) and promote consistent, timely treatment using lung-protective ventilation (LPV). This study evaluated implementation and service (process) outcomes with deployment and use of a clinical decision support (CDS) synchronous alert tool associated with existing computerized ventilator protocols and targeted patients with possible ARDS not receiving LPV. MATERIALS AND METHODS: We performed an explanatory mixed methods study from December 2019 to November 2020 to evaluate CDS alert implementation outcomes across 13 intensive care units (ICU) in an integrated healthcare system with >4000 mechanically ventilated patients annually. We utilized quantitative methods to measure service outcomes including CDS alert tool utilization, accuracy, and implementation effectiveness. Attitudes regarding the appropriateness and acceptability of the CDS tool were assessed via an electronic field survey of physicians and advanced practice providers. RESULTS: Thirty-eight percent of study encounters had at least one episode of LPV nonadherence. Addition of LPV treatment detection logic prevented an estimated 1812 alert messages (41%) over use of disease detection logic alone. Forty-eight percent of alert recommendations were implemented within 2 h. Alert accuracy was estimated at 63% when compared to gold standard ARDS adjudication, with sensitivity of 85% and positive predictive value of 62%. Fifty-seven percent of survey respondents observed one or more benefits associated with the alert. CONCLUSION: Introduction of a CDS alert tool based upon ARDS risk factors and integrated with computerized ventilator protocol instructions increased visibility to gaps in LPV use and promoted increased adherence to LPV. Oxford University Press 2022-07-08 /pmc/articles/PMC9263532/ /pubmed/35815095 http://dx.doi.org/10.1093/jamiaopen/ooac050 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research and Applications
Knighton, Andrew J
Kuttler, Kathryn G
Ranade-Kharkar, Pallavi
Allen, Lauren
Throne, Taylor
Jacobs, Jason R
Carpenter, Lori
Winberg, Carrie
Johnson, Kyle
Shrestha, Neer
Ferraro, Jeffrey P
Wolfe, Doug
Peltan, Ithan D
Srivastava, Rajendu
Grissom, Colin K
An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
title An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
title_full An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
title_fullStr An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
title_full_unstemmed An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
title_short An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
title_sort alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263532/
https://www.ncbi.nlm.nih.gov/pubmed/35815095
http://dx.doi.org/10.1093/jamiaopen/ooac050
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