Literature DB >> 31707720

Describing adverse events in medical inpatients using the Global Trigger Tool.

Nicole Grossmann1, Franziska Gratwohl2, Sarah N Musy3, Natascha M Nielen4, Michael Simon3, Jacques Donzé5.   

Abstract

AIMS: The purpose of the study was to describe the type, prevalence, severity and preventability of adverse events (AEs) that affected hospitalised medical patients. We used the previously developed and validated Global Trigger Tool from the Institute for Healthcare Improvement.
METHODS: Using an adapted version of the Global Trigger Tool, we conducted a retrospective chart review of adult patients hospitalised in five medical wards at a university hospital in Switzerland. We reviewed a random sample of 20 patients’ charts for a total study period of 12 months (September 2016 to August 2017). Two trained nurses searched independently for triggers and possible AEs. All AEs were further validated by a senior physician. The number of triggers and AEs detected, as well as the severity and preventability of each, was assessed and analysed using descriptive statistics.
RESULTS: From a sample of 240 patient charts, we identified 1371 triggers and 336 AEs in 144 (60%) inpatients. This translates to an AE rate of 95.7 AEs per 1000 patient days. Most AEs (86.1%) caused temporary harm to the patient and required an intervention and/or prolonged hospitalisation. The estimated preventability of the in-hospital AEs was 29%. Healthcare-associated infections (25.8%) and neurological reactions (22.9%) were the most frequent AE types.
CONCLUSION: We found that about two thirds of patients suffered from AEs with harm during hospitalisation. It is common knowledge that AEs occur in hospitals and that they have potentially harmful consequences for patients, as well as a strong economic impact. However, to adequately prioritise patient safety interventions, it is essential to explore the nature, prevalence, severity and preventability of AEs. This is not only beneficial for the patients, but also cost effective in terms of shorter hospital stays.

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Year:  2019        PMID: 31707720     DOI: 10.4414/smw.2019.20149

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  4 in total

1.  Describing adverse events in Swiss hospitalized oncology patients using the Global Trigger Tool.

Authors:  Anne Gerber; André Da Silva Lopes; Natacha Szüts; Michael Simon; Viviane Ribordy-Baudat; Andreas Ebneter; Claire Perrinjaquet; Marie-Estelle Gaignard; Delphine Nicodet; Daniel Betticher; Grégoire Bula; Maxime Cote; Michel André Duchosal; Pierre-André Berret; Pierre-Yves Dietrich; Caitlin Brennan; Sandy Decosterd; Sandrina Ferreira Nobre; Solange Peters; Reto Koelliker; Françoise Ninane; Marie-Madlen Jeitziner; Sara Colomer-Lahiguera; Manuela Eicher
Journal:  Health Sci Rep       Date:  2020-05-12

2.  Variation in detected adverse events using trigger tools: A systematic review and meta-analysis.

Authors:  Luisa C Eggenschwiler; Anne W S Rutjes; Sarah N Musy; Dietmar Ausserhofer; Natascha M Nielen; René Schwendimann; Maria Unbeck; Michael Simon
Journal:  PLoS One       Date:  2022-09-01       Impact factor: 3.752

3.  Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study.

Authors:  Elisa Dolci; Barbara Schärer; Nicole Grossmann; Sarah Naima Musy; Franziska Zúñiga; Stefanie Bachnick; Michael Simon
Journal:  J Med Internet Res       Date:  2020-09-21       Impact factor: 5.428

4.  Occurrence of No-Harm Incidents and Adverse Events in Hospitalized Patients with Ischemic Stroke or TIA: A Cohort Study Using Trigger Tool Methodology.

Authors:  Bartosch Nowak; René Schwendimann; Philippe Lyrer; Leo H Bonati; Gian Marco De Marchis; Nils Peters; Franziska Zúñiga; Lili Saar; Maria Unbeck; Michael Simon
Journal:  Int J Environ Res Public Health       Date:  2022-02-27       Impact factor: 3.390

  4 in total

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