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Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths

BACKGROUND: Early detection of patients with clinical deterioration admitted to the hospital is critical. The early warning system (EWS) is developed to identify early clinical deterioration. Using individual patient’s vital sign records, this bedside score can identify early clinical deterioration,...

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Autores principales: Swami, Tara, Shams, Ali, Mittelstadt, Matthew, Guenther, Catherine, Tse, Tiffanie, Noor, Hifsa, Shahid, Rabia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255196/
https://www.ncbi.nlm.nih.gov/pubmed/37263736
http://dx.doi.org/10.1136/bmjoq-2022-002194
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author Swami, Tara
Shams, Ali
Mittelstadt, Matthew
Guenther, Catherine
Tse, Tiffanie
Noor, Hifsa
Shahid, Rabia
author_facet Swami, Tara
Shams, Ali
Mittelstadt, Matthew
Guenther, Catherine
Tse, Tiffanie
Noor, Hifsa
Shahid, Rabia
author_sort Swami, Tara
collection PubMed
description BACKGROUND: Early detection of patients with clinical deterioration admitted to the hospital is critical. The early warning system (EWS) is developed to identify early clinical deterioration. Using individual patient’s vital sign records, this bedside score can identify early clinical deterioration, triggering a communication algorithm between nurses and physicians, thereby facilitating early patient intervention. Although various models have been developed and implemented in emergency rooms and paediatric units, data remain sparse on the utility of the EWS in patients admitted to general internal medicine wards and the processes and challenges encountered during the implementation. LOCAL PROBLEM: There is a lack of standardised tools to recognise early deterioration of patient condition. METHODS: This was a quality improvement project piloted in the clinical teaching unit of a tertiary care hospital. Data were collected 24 weeks pre-EWS and 55 weeks post-EWS implementation. A series of Plan, Do, Study, Act cycles were conducted to identify the root cause, develop a driver diagram to understand the drivers of unexpected deaths, run a sham test trial run of the EWS, educate and obtained feedback of clinical care teams involved, assess adherence to the EWS during the pilot project (6 weeks pre-EWS and 6 weeks post-EWS implementation), evaluate outcomes by extending the duration to 24 weeks pre-EWS and 55 weeks post-EWS implementation, and retrospectively review the uptake of the EWS. INTERVENTIONS: Implementation of a standardised protocol to detect deterioration in patient condition. RESULTS: During the pre-EWS implementation phase (24 weeks), there were 4.4 events per week (1.2 septic workups, 1.9 observation unit transfers, 0.7 critical care transfers, 0.13 cardiac arrests and 0.46 per week unexpected deaths). In the post-EWS implementation phase (55 weeks), there were 4.2 events per week (1.0 septic workup, 1.9 observation unit transfers, 0.82 critical care transfers, 0.25 cardiac arrests and 0.25 unexpected deaths). CONCLUSION: The EWS can improve patient care; however, more engagement of stakeholders and electronic vital sign documentation may improve the uptake of the system.
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spelling pubmed-102551962023-06-10 Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths Swami, Tara Shams, Ali Mittelstadt, Matthew Guenther, Catherine Tse, Tiffanie Noor, Hifsa Shahid, Rabia BMJ Open Qual Quality Improvement Report BACKGROUND: Early detection of patients with clinical deterioration admitted to the hospital is critical. The early warning system (EWS) is developed to identify early clinical deterioration. Using individual patient’s vital sign records, this bedside score can identify early clinical deterioration, triggering a communication algorithm between nurses and physicians, thereby facilitating early patient intervention. Although various models have been developed and implemented in emergency rooms and paediatric units, data remain sparse on the utility of the EWS in patients admitted to general internal medicine wards and the processes and challenges encountered during the implementation. LOCAL PROBLEM: There is a lack of standardised tools to recognise early deterioration of patient condition. METHODS: This was a quality improvement project piloted in the clinical teaching unit of a tertiary care hospital. Data were collected 24 weeks pre-EWS and 55 weeks post-EWS implementation. A series of Plan, Do, Study, Act cycles were conducted to identify the root cause, develop a driver diagram to understand the drivers of unexpected deaths, run a sham test trial run of the EWS, educate and obtained feedback of clinical care teams involved, assess adherence to the EWS during the pilot project (6 weeks pre-EWS and 6 weeks post-EWS implementation), evaluate outcomes by extending the duration to 24 weeks pre-EWS and 55 weeks post-EWS implementation, and retrospectively review the uptake of the EWS. INTERVENTIONS: Implementation of a standardised protocol to detect deterioration in patient condition. RESULTS: During the pre-EWS implementation phase (24 weeks), there were 4.4 events per week (1.2 septic workups, 1.9 observation unit transfers, 0.7 critical care transfers, 0.13 cardiac arrests and 0.46 per week unexpected deaths). In the post-EWS implementation phase (55 weeks), there were 4.2 events per week (1.0 septic workup, 1.9 observation unit transfers, 0.82 critical care transfers, 0.25 cardiac arrests and 0.25 unexpected deaths). CONCLUSION: The EWS can improve patient care; however, more engagement of stakeholders and electronic vital sign documentation may improve the uptake of the system. BMJ Publishing Group 2023-06-01 /pmc/articles/PMC10255196/ /pubmed/37263736 http://dx.doi.org/10.1136/bmjoq-2022-002194 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Quality Improvement Report
Swami, Tara
Shams, Ali
Mittelstadt, Matthew
Guenther, Catherine
Tse, Tiffanie
Noor, Hifsa
Shahid, Rabia
Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
title Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
title_full Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
title_fullStr Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
title_full_unstemmed Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
title_short Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
title_sort implementation of early warning system in the clinical teaching unit to reduce unexpected deaths
topic Quality Improvement Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255196/
https://www.ncbi.nlm.nih.gov/pubmed/37263736
http://dx.doi.org/10.1136/bmjoq-2022-002194
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