AI Article Synopsis

  • The study aimed to assess the prevalence and causes of medication administration errors (MAEs) in two Dutch hospitals to inform prevention strategies.
  • Observational data revealed that 13.7% of medication administrations involved MAEs, with the most common types being omissions and wrong handling, and certain medication forms and times of day showing higher error rates.
  • The findings indicate a significant MAE prevalence, suggesting targeted interventions could help reduce these errors, particularly focusing on specific medication forms and administration times.

Article Abstract

Aims And Objectives: To identify the prevalence and determinants of medication administration errors (MAEs).

Background: Insight into determinants of MAEs is necessary to identify interventions to prevent MAEs.

Design: A prospective observational study in two Dutch hospitals, a university and teaching hospital.

Methods: Data were collected by observation. The primary outcome was the proportion of administrations with one or more MAEs. Secondary outcomes were the type, severity and determinants of MAEs. Multivariable mixed-effects logistic regression analyses were used for determinant analysis. Reporting adheres to the STROBE guideline.

Results: MAEs occurred in 352 of 2576 medication administrations (13.7%). Of all MAEs (n = 380), the most prevalent types were omission (n = 87) and wrong medication handling (n = 75). Forty-five MAEs (11.8%) were potentially harmful. The pharmaceutical forms oral liquid (odds ratio [OR] 3.22, 95% confidence interval [CI] 1.43-7.25), infusion (OR 1.73, CI 1.02-2.94), injection (OR 3.52, CI 2.00-6.21), ointment (OR 10.78, CI 2.10-55.26), suppository/enema (OR 6.39, CI 1.13-36.03) and miscellaneous (OR 6.17, CI 1.90-20.04) were more prone to MAEs compared to oral solid. MAEs were more likely to occur when medication was administered between 10 a.m.-2 p.m. (OR 1.91, CI 1.06-3.46) and 6 p.m.-7 a.m. (OR 1.88, CI 1.00-3.52) compared to 7 a.m.-10 a.m. and when administered by staff with higher professional education compared to staff with secondary vocational education (OR 1.68, CI 1.03-2.74). MAEs were less likely to occur in the teaching hospital (OR 0.17, CI 0.08-0.33). Day of the week, patient-to-nurse ratio, interruptions and other nurse characteristics (degree, experience, employment type) were not associated with MAEs.

Conclusions: This study identified a high MAE prevalence. Identified determinants suggest that focusing interventions on complex pharmaceutical forms and error-prone administration times may contribute to MAE reduction.

Relevance To Clinical Practice: The findings of this study can be used to develop targeted interventions to improve patient safety.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286768PMC
http://dx.doi.org/10.1111/jocn.16215DOI Listing

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