Literature DB >> 35858480

Comparison of a Voluntary Safety Reporting System to a Global Trigger Tool for Identifying Adverse Events in an Oncology Population.

Lipika Samal, Srijesa Khasnabish1, Cathy Foskett1, Katherine Zigmont2, Arild Faxvaag, Frank Chang3, Marsha Clements4, Sarah Collins Rossetti, Anuj K Dalal, Kathleen Leone5, Stuart Lipsitz, Anthony Massaro, Ronen Rozenblum, Kumiko O Schnock, Catherine Yoon1, David W Bates, Patricia C Dykes.   

Abstract

OBJECTIVE: There is a lack of research on adverse event (AE) detection in oncology patients, despite the propensity for iatrogenic harm. Two common methods include voluntary safety reporting (VSR) and chart review tools, such as the Institute for Healthcare Improvement's Global Trigger Tool (GTT). Our objective was to compare frequency and type of AEs detected by a modified GTT compared with VSR for identifying AEs in oncology patients in a larger clinical trial.
METHODS: Patients across 6 oncology units (from July 1, 2013, through May 29, 2015) were randomly selected. Retrospective chart reviews were conducted by a team of nurses and physicians to identify AEs using the GTT. The VSR system was queried by the department of quality and safety of the hospital. Adverse event frequencies, type, and harm code for both methods were compared.
RESULTS: The modified GTT detected 0.90 AEs per patient (79 AEs in 88 patients; 95% [0.71-1.12] AEs per patient) that were predominantly medication AEs (53/79); more than half of the AEs caused harm to the patients (41/79, 52%), but only one quarter were preventable (21/79; 27%). The VSR detected 0.24 AEs per patient (21 AEs in 88 patients; 95% [0.15-0.37] AEs per patient), a large plurality of which were medication/intravenous related (8/21); more than half did not cause harm (70%). Only 2% of the AEs (2/100) were detected by both methods.
CONCLUSIONS: Neither the modified GTT nor the VSR system alone is sufficient for detecting AEs in oncology patient populations. Further studies exploring methods such as automated AE detection from electronic health records and leveraging patient-reported AEs are needed.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2022        PMID: 35858480      PMCID: PMC9391281          DOI: 10.1097/PTS.0000000000001050

Source DB:  PubMed          Journal:  J Patient Saf        ISSN: 1549-8417            Impact factor:   2.243


  34 in total

1.  System changes to improve patient safety.

Authors:  T W Nolan
Journal:  BMJ       Date:  2000-03-18

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Performance of a Trigger Tool for Identifying Adverse Events in Oncology.

Authors:  Allison Lipitz-Snyderman; David Classen; David Pfister; Aileen Killen; Coral L Atoria; Elizabeth Fortier; Andrew S Epstein; Christopher Anderson; Saul N Weingart
Journal:  J Oncol Pract       Date:  2017-01-17       Impact factor: 3.840

4.  Safety hazards in cancer care: findings using three different methods.

Authors:  Henriette Lipczak; Janne Lehmann Knudsen; Aase Nissen
Journal:  BMJ Qual Saf       Date:  2011-06-28       Impact factor: 7.035

5.  Automated adverse event detection collaborative: electronic adverse event identification, classification, and corrective actions across academic pediatric institutions.

Authors:  David C Stockwell; Eric Kirkendall; Stephen E Muething; Elizabeth Kloppenborg; Hima Vinodrao; Brian R Jacobs
Journal:  J Patient Saf       Date:  2013-12       Impact factor: 2.844

6.  Adverse events in hospitalised cancer patients: a comparison to a general hospital population.

Authors:  Ellinor Christin Haukland; Christian von Plessen; Carsten Nieder; Barthold Vonen
Journal:  Acta Oncol       Date:  2017-04-05       Impact factor: 4.089

7.  Patient and staff safety: voluntary reporting.

Authors:  Mary A Blegen; Thomas Vaughn; Ginette Pepper; Carol Vojir; Karen Stratton; Michal Boyd; Gail Armstrong
Journal:  Am J Med Qual       Date:  2004 Mar-Apr       Impact factor: 1.852

8.  The incident reporting system does not detect adverse drug events: a problem for quality improvement.

Authors:  D J Cullen; D W Bates; S D Small; J B Cooper; A R Nemeskal; L L Leape
Journal:  Jt Comm J Qual Improv       Date:  1995-10

9.  Prospective Evaluation of a Multifaceted Intervention to Improve Outcomes in Intensive Care: The Promoting Respect and Ongoing Safety Through Patient Engagement Communication and Technology Study.

Authors:  Patricia C Dykes; Ronen Rozenblum; Anuj Dalal; Anthony Massaro; Frank Chang; Marsha Clements; Sarah Collins; Jacques Donze; Maureen Fagan; Priscilla Gazarian; John Hanna; Lisa Lehmann; Kathleen Leone; Stuart Lipsitz; Kelly McNally; Conny Morrison; Lipika Samal; Eli Mlaver; Kumiko Schnock; Diana Stade; Deborah Williams; Catherine Yoon; David W Bates
Journal:  Crit Care Med       Date:  2017-08       Impact factor: 9.296

10.  Mixed-Methods Evaluation of Real-Time Safety Reporting by Hospitalized Patients and Their Care Partners: The MySafeCare Application.

Authors:  Sarah A Collins; Brittany Couture; Ann DeBord Smith; Esteban Gershanik; Elizabeth Lilley; Frank Chang; Cathy Yoon; Stuart Lipsitz; Aziz Sheikh; James Benneyan; David W Bates
Journal:  J Patient Saf       Date:  2020-06       Impact factor: 2.243

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