{"title":"Medication Reconciliation Errors on Discharge for Epilepsy Monitoring Unit Patients.","authors":"Ayman Alboudi, Anna M Bank","doi":"10.14581/jer.24003","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and purpose: </strong>Medication errors are common in the inpatient setting. Epilepsy patients who miss doses of their antiseizure medications are at risk for breakthrough seizures and subsequent complications. The purpose of this study was to quantify and characterize anti-seizure medications reconciliation errors on discharge from the epilepsy monitoring unit (EMU).</p><p><strong>Methods: </strong>Consecutive admissions to an academic medical center EMU were retrospectively reviewed. Medication reconciliation errors on discharge, including drug errors, dosing errors, and dose timing errors, were recorded. Associations between medication errors and clinical and demographic variables were analyzed using binary logistic regression for continuous variables and Fisher exact tests for categorical variables.</p><p><strong>Results: </strong>One hundred and eleven admissions between January 1, 2021 and December 31, 2021 were identified. Fourteen anti-seizure medication reconciliation errors were recorded during 11 unique admissions (9.9% of admissions). The most common error type was dosing error (10/14 errors; 71.4%). Number of antiseizure medications on admission (<i>p</i>=0.004), total number of medications on admission (<i>p</i>=0.013), number of medication changes during admission (<i>p</i>=0.0007), and length of stay (<i>p</i>=0.0001) were associated with increased likelihood of errors.</p><p><strong>Conclusions: </strong>Medication reconciliation errors upon discharge from the EMU occur during approximately 10% of admissions. A higher number of preadmission antiseizure medications, higher total number of preadmission medications, higher number of medication changes during admission, and longer length of stay are associated with increased risk of discharge medication reconciliation errors. Careful attention should be paid to patients with these risk factors.</p>","PeriodicalId":73741,"journal":{"name":"Journal of epilepsy research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11227923/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of epilepsy research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14581/jer.24003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background and purpose: Medication errors are common in the inpatient setting. Epilepsy patients who miss doses of their antiseizure medications are at risk for breakthrough seizures and subsequent complications. The purpose of this study was to quantify and characterize anti-seizure medications reconciliation errors on discharge from the epilepsy monitoring unit (EMU).
Methods: Consecutive admissions to an academic medical center EMU were retrospectively reviewed. Medication reconciliation errors on discharge, including drug errors, dosing errors, and dose timing errors, were recorded. Associations between medication errors and clinical and demographic variables were analyzed using binary logistic regression for continuous variables and Fisher exact tests for categorical variables.
Results: One hundred and eleven admissions between January 1, 2021 and December 31, 2021 were identified. Fourteen anti-seizure medication reconciliation errors were recorded during 11 unique admissions (9.9% of admissions). The most common error type was dosing error (10/14 errors; 71.4%). Number of antiseizure medications on admission (p=0.004), total number of medications on admission (p=0.013), number of medication changes during admission (p=0.0007), and length of stay (p=0.0001) were associated with increased likelihood of errors.
Conclusions: Medication reconciliation errors upon discharge from the EMU occur during approximately 10% of admissions. A higher number of preadmission antiseizure medications, higher total number of preadmission medications, higher number of medication changes during admission, and longer length of stay are associated with increased risk of discharge medication reconciliation errors. Careful attention should be paid to patients with these risk factors.