Rosa María Hidalgo-Velasco RN , Graciela Martínez-Velasco RN , Martha Martínez-Salazar PhD , Karina Juárez-González MSc , Salvador Vázquez-Vega PhD
{"title":"Risk factors associated with adverse medication events reported by nurses in a Pediatric Hospital in Mexico","authors":"Rosa María Hidalgo-Velasco RN , Graciela Martínez-Velasco RN , Martha Martínez-Salazar PhD , Karina Juárez-González MSc , Salvador Vázquez-Vega PhD","doi":"10.1016/j.enfie.2025.100492","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>During pediatric medication administration, patient safety-related incidents such as sentinel event, adverse event or quasi-failure still occur.</div></div><div><h3>Objective</h3><div>To identify risk factors associated with adverse events during the medication of pediatric patients reported by nurses.</div></div><div><h3>Methods</h3><div>Cross-sectional study, non-probabilistic sampling. From January to October 2021, 411 reports from the Vencer II System were reviewed, of which only 140 reported notifications of incidents during the medication of pediatric patients. Using Root Cause Analysis 38 factors associated with adverse events were investigated. Descriptive and inferential statistics were used.</div></div><div><h3>Results</h3><div>Of the 411 reports reviewed, 140 (34.0%) correspond to incidents; 116 (83.0%) to adverse events and 24 (17.0%) to quasi-failure, no sentinel events were reported. In the human factor, six of the seven proximal factors had a frequency ≥ 40%. Work overload was significantly associated with the occurrence of adverse events; OR = 3.24 (95% CI [1.31–7.99]) (p = 0.008). Contrary to what has been reported, LASA (Look-Alike, Sound-Alike) medications and double-check omission were identified as protective against the occurrence of incidents; OR = 0.323 (95% CI [0.13−0.84]) (p = 0.017); OR = 0.39 (95% CI [0.15−0.99]) (p = 0.047).</div></div><div><h3>Conclusions</h3><div>Work overload was identified as a risk factor associated with the occurrence of adverse events, so it is necessary to evaluate this factor from objective medication and from the nurses' perception of it. Having a documented incident notification and response system in place will allow healthcare institutions to demonstrate diligence and transparency. Finally, the usefulness of Root Cause Analysis and the Ishikawa Diagram to identify factors that can cause incidents is again supported, so their integration into the VENCER II instrument would be useful.</div></div>","PeriodicalId":93991,"journal":{"name":"Enfermeria intensiva","volume":"36 1","pages":"Article 100492"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Enfermeria intensiva","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2529984025000059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
During pediatric medication administration, patient safety-related incidents such as sentinel event, adverse event or quasi-failure still occur.
Objective
To identify risk factors associated with adverse events during the medication of pediatric patients reported by nurses.
Methods
Cross-sectional study, non-probabilistic sampling. From January to October 2021, 411 reports from the Vencer II System were reviewed, of which only 140 reported notifications of incidents during the medication of pediatric patients. Using Root Cause Analysis 38 factors associated with adverse events were investigated. Descriptive and inferential statistics were used.
Results
Of the 411 reports reviewed, 140 (34.0%) correspond to incidents; 116 (83.0%) to adverse events and 24 (17.0%) to quasi-failure, no sentinel events were reported. In the human factor, six of the seven proximal factors had a frequency ≥ 40%. Work overload was significantly associated with the occurrence of adverse events; OR = 3.24 (95% CI [1.31–7.99]) (p = 0.008). Contrary to what has been reported, LASA (Look-Alike, Sound-Alike) medications and double-check omission were identified as protective against the occurrence of incidents; OR = 0.323 (95% CI [0.13−0.84]) (p = 0.017); OR = 0.39 (95% CI [0.15−0.99]) (p = 0.047).
Conclusions
Work overload was identified as a risk factor associated with the occurrence of adverse events, so it is necessary to evaluate this factor from objective medication and from the nurses' perception of it. Having a documented incident notification and response system in place will allow healthcare institutions to demonstrate diligence and transparency. Finally, the usefulness of Root Cause Analysis and the Ishikawa Diagram to identify factors that can cause incidents is again supported, so their integration into the VENCER II instrument would be useful.