Assessing the severity of medication administration errors identified in an observational study using a valid and reliable method

J Pharm Policy Pract. 2023 Nov 14;16(1):143. doi: 10.1186/s40545-023-00653-x.

Abstract

Background: Epidemiological data on medication errors severity are scarce. The assessment of the prevalence and severity of medication errors may be limited because of several reasons, including a lack of standardization in the method of identifying medication administration errors and little knowledge about the appropriate assessment tools to measure severity. Thus, in this study, we aim to assess the potential severity of errors identified by direct observation in a teaching hospital.

Methods: We used a validated method for assessing the potential severity of medication administration errors. Responses are scored on a 10-point scale. The 203 errors identified in a previous study were organized per similarity, resulting in 67 errors. This list was assessed by a panel of a physician, a nurse, and two pharmacists. The average score for each of the 67 errors was estimated considering the scores given by the 4 judges. Errors with a severity index < 3, between 3 and 7, and > 7 were considered minor, moderate, and severe, respectively.

Results: Professionals classified the potential clinical significance of the errors as minor, moderate, and severe in 8.8% (18/203), 82.8% (168/203), and 8.4% (17/203) of the cases, respectively. Most errors considered potentially serious (41%, 7/17) were technical errors. Most potentially serious errors involved insulin. Regarding the administration route, nine (53%) potentially serious errors involved medications administered intravenously.

Conclusions: Most of the errors were considered as potentially moderated by the expert panel; however, the frequency of potentially serious errors was higher than that in previous studies using the same methodology, which highlights the need for strategies to reduce their occurrence.

Keywords: Hospital; Medication administration errors; Medication errors; Observational; Patient safety; Severity.