Performance of Trigger Tools in Identifying Adverse Drug Events in Emergency Intensive Care Unit: A Prospective Observational Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Aim: To investigate how well trigger tools function while evaluating adverse drug reactions (ADRs) among patients in emergency intensive care units (EICUs) and to assess the sensitivity of the Institute for Healthcare Improvement: Global Trigger Tool (IHI: GTT) for reporting adverse drug events among patients admitted to EICUs. Methods: A prospective, continuous, single-center research study was conducted for 9 months in the Department of Accident and Emergency Medicine. Triggers were defined based on the IHI GTT and Menat trigger tool. Each flagged case was reviewed for 15 minutes, which provides an equitable balance between efficiency and thoroughness to confirm the presence of an ADR. Performance metrics were calculated and analyzed. Results: Three hundred medical records were collected, and 167 cases were randomly analyzed using 87 triggers. The prevalence of ADRs was 28%. The trigger tools showed 83.8% sensitivity and 48.7% specificity. The results indicated that the negative predictive value was 92.3%, while the positive predictive value was 72.9%. Conclusion: Trigger tools are a useful way to identify ADRs, even though issues with specificity and false positives still exist. Further improvements in technology and ongoing development will probably make these instruments even more effective and efficient in the dynamic environment of EICUs. How to cite this article: Prakash N, Kumar AP, Ramesh AC, Boopathi D, Deepalaksmi M. Performance of Trigger Tools in Identifying Adverse Drug Events in Emergency Intensive Care Unit: A Prospective Observational Study. Indian J Crit Care Med 2025;29(10):861-864.
Authors: Nandini Prakash, Adusumilli P Kumar, Aruna C Ramesh, Dharini Boopathi, M Deepalakshmi
Language: English
Subfield: Toxicology
Domain: Life Sciences
Open Access status: diamond
Funder: JSS College of Pharmacy
OpenAlex ID: W4415313460
