Identification of risk factors for adverse drug events in a general hospital

Abstract Adverse events (AEs), and particularly adverse drug events (ADEs), represent a health problem as they can cause permanent damage or death. Understanding the frequency, location, and causes of ADEs can prevent harm to patients. The Global Trigger Tool, produced by the Institute for Healthcar...

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Veröffentlicht in:International journal for quality in health care 2024-09, Vol.36 (3)
Hauptverfasser: Pisetta, Leticia Mara, Tonin, Fernanda Zanardo, Akiyoshi, Fernando Kenji, Santos, Fábio André, Fernandes, Daniel
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Sprache:eng
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Zusammenfassung:Abstract Adverse events (AEs), and particularly adverse drug events (ADEs), represent a health problem as they can cause permanent damage or death. Understanding the frequency, location, and causes of ADEs can prevent harm to patients. The Global Trigger Tool, produced by the Institute for Healthcare Improvement (GTT/IHI), is widely used to identify AEs. Recognizing the profile of patients who suffer ADEs can reveal clinical or individual characteristics that predispose to the occurrence of AEs. A cross-sectional study was carried out through a retrospective analysis of 120 medical charts of patients discharged from hospital between October 2020 and April 2021. Patients over 18 years old, with a length of stay of more than 24 h, were included. The list of triggers used was from the medication module of the GTT/IHI, which was adapted for use in the institution. Two primary reviewers and a medical reviewer applied this tool. The primary reviewers independently assessed the randomized charts. A meeting to achieve consensus among the reviewers was held every 2 weeks to validate the identified ADEs; classifications were based on harm severity. Multivariate logistic regression was utilized to assess the variables that predicted the occurrence of ADEs, using the backward stepwise method. A total of 43 ADEs were identified, with a frequency of 36 per 100 admissions (43/120). Of these, five ADEs (12%) were responsible for patients being admitted to hospital. In the case of in-hospital ADEs, there were 42.2 per 1000 patients/day. The clinical manifestation of altered kidney function (16%) and the anatomical drug group of the nervous system (33%) were the most frequent ADEs. The multivariate logistic regression model was significant (×2 = 44.960, P 
ISSN:1353-4505
1464-3677
1464-3677
DOI:10.1093/intqhc/mzae088