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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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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 |
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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 |
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