Patient-specific risk factors of adverse drug events in adult inpatients - evidence detected using the Global Trigger Tool method

Aims and objectives. To identify the prevalence, preventability, and severity of adverse drug events in randomly selected adult hospital inpatients, and to study the association between adverse drug events and patient-specific factors. Background. Adverse drug events represent one of the major concerns in patient safety. Design. A retrospective record review. Methods. The study was conducted in an 800-bed university hospital in Finland within a 12-month period. Retrospective reviews of randomly selected discharged patients' (n = 463) records using the Global Trigger Tool method were undertaken. The prevalence, preventability, and severity of adverse drug events were studied, and the association between patient-specific factors and adverse drug events were examined using a binary logistic regression model and Pearson's chi-squared tests. Results. A total of 180 adverse drug events were detected in 125 (27%) patients, of which 74 (41.1%) were preventable, and 94.4% caused temporary harm. An abnormal level of potassium in the blood was the most frequent adverse drug event (n = 37). The risk of adverse drug events increased with the length of hospital stay and the increased number of drugs patients used. The patients with coronary diseases (n = 130) had a 2.5 times higher risk of experiencing adverse drug events. In addition, the risk of adverse drug events during hospitalisation increased together with the co-morbidity of patients. Conclusions. Adverse drug events were experienced by a quarter of inpatients, while severe adverse drug events were rare. The risk of adverse drug events increased with patients' prolonged hospital stay, polypharmacy, and morbidity. In addition, information of the usefulness of the Global Trigger tool can be used for future development of the method. Relevance to clinical practice. Patient-specific risk factors were identified using the Global Trigger Tool method revealing that more efficient monitoring of inpatients with these risk factors may be profitable for decreasing adverse drug events.