2014
DOI: 10.4258/hir.2014.20.4.280
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Differences of Reasons for Alert Overrides on Contraindicated Co-prescriptions by Admitting Department

Abstract: ObjectivesTo reveal differences in drug-drug interaction (DDI) alerts and the reasons for alert overrides between admitting departments.MethodsA retrospective observational study was performed using longitudinal Electronic Health Record (EHR) data and information from an alert and logging system. Adult patients hospitalized in the emergency department (ED) and general ward (GW) during a 46-month period were included. For qualitative analyses, we manually reviewed all reasons for alert overrides, which were rec… Show more

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Cited by 21 publications
(39 citation statements)
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“…First, computerized alerts for age contraindication may have been overridden for the drug classes by the prescribers. Most of the alerts (89%) generated for anti‐inflammatory and anti‐rheumatic drugs were overridden in a tertiary hospital in Korea . Overrides of medication‐related clinical decision support alerts were very common in a UK tertiary hospital setting .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…First, computerized alerts for age contraindication may have been overridden for the drug classes by the prescribers. Most of the alerts (89%) generated for anti‐inflammatory and anti‐rheumatic drugs were overridden in a tertiary hospital in Korea . Overrides of medication‐related clinical decision support alerts were very common in a UK tertiary hospital setting .…”
Section: Discussionmentioning
confidence: 99%
“…Most of the alerts (89%) generated for anti-inflammatory and anti-rheumatic drugs were overridden in a tertiary hospital in Korea. 21 Overrides of medicationrelated clinical decision support alerts were very common in a UK tertiary hospital setting. 22 In a US outpatient setting, alerts for age-related medication recommendations were highly likely to be overridden.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, all free-text data were classified manually by two researchers (JC, KBY) and evaluated by RWP. In this study, the exception processing codes of Grizzle et al [ 10 ] and Ahn et al [ 11 ] were referenced in classification. Grizzle et al [ 10 ] developed 14 categories for overriding DDI alerts and prescribers classified their messages into the categories after excluding duplicated messages from ambulatory pharmacy dispensing records.…”
Section: Methodsmentioning
confidence: 99%
“…Override rates and reasons for overriding can also vary across departments within a single institution and across alert types. 22,31,32 Metrics that can provide more information on appropriateness and value, such as alert adherence rate, 9,10 require increased clinician insight and cannot be easily obtained from an automated report. Other metrics have been recently introduced but need additional refinement.…”
Section: Figurementioning
confidence: 99%