Cargando…

Study of a multisite prospective adverse event surveillance system

BACKGROUND: We have designed a prospective adverse event (AE) surveillance method. We performed this study to evaluate this method’s performance in several hospitals simultaneously. OBJECTIVES: To compare AE rates obtained by prospective AE surveillance in different hospitals and to evaluate measure...

Descripción completa

Detalles Bibliográficos
Autores principales: Forster, Alan J, Huang, Allen, Lee, Todd C, Jennings, Alison, Choudhri, Omer, Backman, Chantal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146931/
https://www.ncbi.nlm.nih.gov/pubmed/31270254
http://dx.doi.org/10.1136/bmjqs-2018-008664
_version_ 1783520315479949312
author Forster, Alan J
Huang, Allen
Lee, Todd C
Jennings, Alison
Choudhri, Omer
Backman, Chantal
author_facet Forster, Alan J
Huang, Allen
Lee, Todd C
Jennings, Alison
Choudhri, Omer
Backman, Chantal
author_sort Forster, Alan J
collection PubMed
description BACKGROUND: We have designed a prospective adverse event (AE) surveillance method. We performed this study to evaluate this method’s performance in several hospitals simultaneously. OBJECTIVES: To compare AE rates obtained by prospective AE surveillance in different hospitals and to evaluate measurement factors explaining observed variation. METHODS: We conducted a multicentre prospective observational study. Prospective AE surveillance was implemented for 8 weeks on the general medicine wards of five hospitals. To determine if population factors may have influenced results, we performed mixed-effects logistic regression. To determine if surveillance factors may have influenced results, we reassigned observers to different hospitals midway through surveillance period and reallocated a random sample of events to different expert review teams. RESULTS: During 3560 patient days of observation of 1159 patient encounters, we identified 356 AEs (AE risk per encounter=22%). AE risk varied between hospitals ranging from 9.9% of encounters in Hospital D to 35.8% of encounters in Hospital A. AE types and severity were similar between hospitals—the most common types were related to clinical procedures (45%), hospital-acquired infections (21%) and medications (19%). Adjusting for age and comorbid status, we observed an association between hospital and AE risk. We observed variation in observer behaviour and moderate agreement between clinical reviewers, which could have influenced the observed rate difference. CONCLUSION: This study demonstrated that it is possible to implement prospective surveillance in different settings. Such surveillance appears to be better suited to evaluating hospital safety concerns within rather than between hospitals as we could not definitively rule out whether the observed variation in AE risk was due to population or surveillance factors.
format Online
Article
Text
id pubmed-7146931
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-71469312020-04-15 Study of a multisite prospective adverse event surveillance system Forster, Alan J Huang, Allen Lee, Todd C Jennings, Alison Choudhri, Omer Backman, Chantal BMJ Qual Saf Original Research BACKGROUND: We have designed a prospective adverse event (AE) surveillance method. We performed this study to evaluate this method’s performance in several hospitals simultaneously. OBJECTIVES: To compare AE rates obtained by prospective AE surveillance in different hospitals and to evaluate measurement factors explaining observed variation. METHODS: We conducted a multicentre prospective observational study. Prospective AE surveillance was implemented for 8 weeks on the general medicine wards of five hospitals. To determine if population factors may have influenced results, we performed mixed-effects logistic regression. To determine if surveillance factors may have influenced results, we reassigned observers to different hospitals midway through surveillance period and reallocated a random sample of events to different expert review teams. RESULTS: During 3560 patient days of observation of 1159 patient encounters, we identified 356 AEs (AE risk per encounter=22%). AE risk varied between hospitals ranging from 9.9% of encounters in Hospital D to 35.8% of encounters in Hospital A. AE types and severity were similar between hospitals—the most common types were related to clinical procedures (45%), hospital-acquired infections (21%) and medications (19%). Adjusting for age and comorbid status, we observed an association between hospital and AE risk. We observed variation in observer behaviour and moderate agreement between clinical reviewers, which could have influenced the observed rate difference. CONCLUSION: This study demonstrated that it is possible to implement prospective surveillance in different settings. Such surveillance appears to be better suited to evaluating hospital safety concerns within rather than between hospitals as we could not definitively rule out whether the observed variation in AE risk was due to population or surveillance factors. BMJ Publishing Group 2020-04 2019-07-03 /pmc/articles/PMC7146931/ /pubmed/31270254 http://dx.doi.org/10.1136/bmjqs-2018-008664 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://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/.
spellingShingle Original Research
Forster, Alan J
Huang, Allen
Lee, Todd C
Jennings, Alison
Choudhri, Omer
Backman, Chantal
Study of a multisite prospective adverse event surveillance system
title Study of a multisite prospective adverse event surveillance system
title_full Study of a multisite prospective adverse event surveillance system
title_fullStr Study of a multisite prospective adverse event surveillance system
title_full_unstemmed Study of a multisite prospective adverse event surveillance system
title_short Study of a multisite prospective adverse event surveillance system
title_sort study of a multisite prospective adverse event surveillance system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146931/
https://www.ncbi.nlm.nih.gov/pubmed/31270254
http://dx.doi.org/10.1136/bmjqs-2018-008664
work_keys_str_mv AT forsteralanj studyofamultisiteprospectiveadverseeventsurveillancesystem
AT huangallen studyofamultisiteprospectiveadverseeventsurveillancesystem
AT leetoddc studyofamultisiteprospectiveadverseeventsurveillancesystem
AT jenningsalison studyofamultisiteprospectiveadverseeventsurveillancesystem
AT choudhriomer studyofamultisiteprospectiveadverseeventsurveillancesystem
AT backmanchantal studyofamultisiteprospectiveadverseeventsurveillancesystem