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Using prospective clinical surveillance to identify adverse events in hospital

BACKGROUND: To improve patient safety, organisations must systematically measure avoidable harms. Clinical surveillance—consisting of prospective case finding and peer review—could improve identification of adverse events (AEs), preventable AEs and potential AEs. The authors sought to describe and c...

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Autores principales: Forster, Alan J, Worthington, Jim R, Hawken, Steven, Bourke, Michael, Rubens, Fraser, Shojania, Kaveh, van Walraven, Carl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161499/
https://www.ncbi.nlm.nih.gov/pubmed/21367769
http://dx.doi.org/10.1136/bmjqs.2010.048694
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author Forster, Alan J
Worthington, Jim R
Hawken, Steven
Bourke, Michael
Rubens, Fraser
Shojania, Kaveh
van Walraven, Carl
author_facet Forster, Alan J
Worthington, Jim R
Hawken, Steven
Bourke, Michael
Rubens, Fraser
Shojania, Kaveh
van Walraven, Carl
author_sort Forster, Alan J
collection PubMed
description BACKGROUND: To improve patient safety, organisations must systematically measure avoidable harms. Clinical surveillance—consisting of prospective case finding and peer review—could improve identification of adverse events (AEs), preventable AEs and potential AEs. The authors sought to describe and compare findings of clinical surveillance on four clinical services in an academic hospital. METHODS: Clinical surveillance was performed by a nurse observer who monitored patients for prespecified clinical events and collected standard information about each event. A multidisciplinary, peer-review committee rated causation for each event. Events were subsequently classified in terms of severity and type. RESULTS: The authors monitored 1406 patients during their admission to four hospital services: Cardiac Surgery Intensive Care (n=226), Intensive Care (n=211), General Internal Medicine (n=453) and Obstetrics (n=516). The authors detected 245 AEs during 9300 patient days of observation (2.6 AEs per 100 patient days). 88 AEs (33%) were preventable. The proportion of patients experiencing at least one AE, preventable AE or potential AE was 13.7%, 6.1% and 5.3%, respectively. AE risk varied between services, ranging from 1.4% of Obstetrics to 11% of Internal Medicine and Intensive Care patients experiencing at least one preventable AE. The proportion of patients experiencing AEs resulting in permanent disability or death varied between services: ranging from 0.2% on Obstetrics to 4.9% on Cardiac Surgery Intensive Care. No services shared the most frequent AE type. CONCLUSIONS: Using clinical surveillance, the authors identified a high risk of AE and significant variation in AE risks and subtypes between services. These findings suggest that institutions will need to evaluate service-specific safety problems to set priorities and design improvement strategies.
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spelling pubmed-31614992011-09-08 Using prospective clinical surveillance to identify adverse events in hospital Forster, Alan J Worthington, Jim R Hawken, Steven Bourke, Michael Rubens, Fraser Shojania, Kaveh van Walraven, Carl BMJ Qual Saf Original Research BACKGROUND: To improve patient safety, organisations must systematically measure avoidable harms. Clinical surveillance—consisting of prospective case finding and peer review—could improve identification of adverse events (AEs), preventable AEs and potential AEs. The authors sought to describe and compare findings of clinical surveillance on four clinical services in an academic hospital. METHODS: Clinical surveillance was performed by a nurse observer who monitored patients for prespecified clinical events and collected standard information about each event. A multidisciplinary, peer-review committee rated causation for each event. Events were subsequently classified in terms of severity and type. RESULTS: The authors monitored 1406 patients during their admission to four hospital services: Cardiac Surgery Intensive Care (n=226), Intensive Care (n=211), General Internal Medicine (n=453) and Obstetrics (n=516). The authors detected 245 AEs during 9300 patient days of observation (2.6 AEs per 100 patient days). 88 AEs (33%) were preventable. The proportion of patients experiencing at least one AE, preventable AE or potential AE was 13.7%, 6.1% and 5.3%, respectively. AE risk varied between services, ranging from 1.4% of Obstetrics to 11% of Internal Medicine and Intensive Care patients experiencing at least one preventable AE. The proportion of patients experiencing AEs resulting in permanent disability or death varied between services: ranging from 0.2% on Obstetrics to 4.9% on Cardiac Surgery Intensive Care. No services shared the most frequent AE type. CONCLUSIONS: Using clinical surveillance, the authors identified a high risk of AE and significant variation in AE risks and subtypes between services. These findings suggest that institutions will need to evaluate service-specific safety problems to set priorities and design improvement strategies. BMJ Group 2011-03-01 2011-09 /pmc/articles/PMC3161499/ /pubmed/21367769 http://dx.doi.org/10.1136/bmjqs.2010.048694 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Original Research
Forster, Alan J
Worthington, Jim R
Hawken, Steven
Bourke, Michael
Rubens, Fraser
Shojania, Kaveh
van Walraven, Carl
Using prospective clinical surveillance to identify adverse events in hospital
title Using prospective clinical surveillance to identify adverse events in hospital
title_full Using prospective clinical surveillance to identify adverse events in hospital
title_fullStr Using prospective clinical surveillance to identify adverse events in hospital
title_full_unstemmed Using prospective clinical surveillance to identify adverse events in hospital
title_short Using prospective clinical surveillance to identify adverse events in hospital
title_sort using prospective clinical surveillance to identify adverse events in hospital
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161499/
https://www.ncbi.nlm.nih.gov/pubmed/21367769
http://dx.doi.org/10.1136/bmjqs.2010.048694
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