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Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making

INTRODUCTION: Pediatric sepsis is a leading cause of death among children. Electronic alert systems may improve early recognition but do not consistently result in timely interventions given the multitude of clinical presentations, lack of treatment consensus, standardized order sets, and inadequate...

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Autores principales: Martinez, Elizabeth M., Sepanski, Robert J., Jennings, A. Dawn, Schmidt, James M., Cholis, Thomas J., Dominy, Meaghan E., Devlin, Sanaz B., Eilers, Lindsay Floyd, Zaritsky, Arno L., Godambe, Sandip A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977419/
https://www.ncbi.nlm.nih.gov/pubmed/36041070
http://dx.doi.org/10.1097/JHQ.0000000000000363
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author Martinez, Elizabeth M.
Sepanski, Robert J.
Jennings, A. Dawn
Schmidt, James M.
Cholis, Thomas J.
Dominy, Meaghan E.
Devlin, Sanaz B.
Eilers, Lindsay Floyd
Zaritsky, Arno L.
Godambe, Sandip A.
author_facet Martinez, Elizabeth M.
Sepanski, Robert J.
Jennings, A. Dawn
Schmidt, James M.
Cholis, Thomas J.
Dominy, Meaghan E.
Devlin, Sanaz B.
Eilers, Lindsay Floyd
Zaritsky, Arno L.
Godambe, Sandip A.
author_sort Martinez, Elizabeth M.
collection PubMed
description INTRODUCTION: Pediatric sepsis is a leading cause of death among children. Electronic alert systems may improve early recognition but do not consistently result in timely interventions given the multitude of clinical presentations, lack of treatment consensus, standardized order sets, and inadequate interdisciplinary team-based communication. We conducted a quality improvement project to improve timely critical treatment of patients at risk for infection-related decompensation (IRD) through team-based communication and standardized treatment workflow. METHODS: We evaluated children at risk for IRD as evidenced by the activation of an electronic alert system (Children at High Risk Alert Tool [CAHR-AT]) in the emergency department. Outcomes were assessed after multiple improvements including CAHR-AT implementation, clinical coassessment, visual cues for situational awareness, huddles, and standardized order sets. RESULTS: With visual cue activation, initial huddle compliance increased from 7.8% to 65.3% (p < .001). Children receiving antibiotics by 3 hours postactivation increased from 37.9% pre–CAHR-AT to 50.7% posthuddle implementation (p < .0001); patients who received a fluid bolus by 3 hours post-CAHR activation increased from 49.0% to 55.2% (p = .001). CONCLUSIONS: Implementing a well-validated electronic alert tool did not improve quality measures of timely treatment for high-risk patients until combined with team-based communication, standardized reassessment, and treatment workflow.
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spelling pubmed-99774192023-03-02 Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making Martinez, Elizabeth M. Sepanski, Robert J. Jennings, A. Dawn Schmidt, James M. Cholis, Thomas J. Dominy, Meaghan E. Devlin, Sanaz B. Eilers, Lindsay Floyd Zaritsky, Arno L. Godambe, Sandip A. J Healthc Qual Original Article INTRODUCTION: Pediatric sepsis is a leading cause of death among children. Electronic alert systems may improve early recognition but do not consistently result in timely interventions given the multitude of clinical presentations, lack of treatment consensus, standardized order sets, and inadequate interdisciplinary team-based communication. We conducted a quality improvement project to improve timely critical treatment of patients at risk for infection-related decompensation (IRD) through team-based communication and standardized treatment workflow. METHODS: We evaluated children at risk for IRD as evidenced by the activation of an electronic alert system (Children at High Risk Alert Tool [CAHR-AT]) in the emergency department. Outcomes were assessed after multiple improvements including CAHR-AT implementation, clinical coassessment, visual cues for situational awareness, huddles, and standardized order sets. RESULTS: With visual cue activation, initial huddle compliance increased from 7.8% to 65.3% (p < .001). Children receiving antibiotics by 3 hours postactivation increased from 37.9% pre–CAHR-AT to 50.7% posthuddle implementation (p < .0001); patients who received a fluid bolus by 3 hours post-CAHR activation increased from 49.0% to 55.2% (p = .001). CONCLUSIONS: Implementing a well-validated electronic alert tool did not improve quality measures of timely treatment for high-risk patients until combined with team-based communication, standardized reassessment, and treatment workflow. Lippincott Williams & Wilkins 2023 2022-08-30 /pmc/articles/PMC9977419/ /pubmed/36041070 http://dx.doi.org/10.1097/JHQ.0000000000000363 Text en © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the National Association for Healthcare Quality. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Article
Martinez, Elizabeth M.
Sepanski, Robert J.
Jennings, A. Dawn
Schmidt, James M.
Cholis, Thomas J.
Dominy, Meaghan E.
Devlin, Sanaz B.
Eilers, Lindsay Floyd
Zaritsky, Arno L.
Godambe, Sandip A.
Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making
title Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making
title_full Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making
title_fullStr Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making
title_full_unstemmed Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making
title_short Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making
title_sort optimizing recognition and management of patients at risk for infection-related decompensation through team-based decision making
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977419/
https://www.ncbi.nlm.nih.gov/pubmed/36041070
http://dx.doi.org/10.1097/JHQ.0000000000000363
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