Types, prevalence, and potential clinical significance of medication administration errors in assisted living

J Am Geriatr Soc. 2008 Jul;56(7):1199-205. doi: 10.1111/j.1532-5415.2008.01754.x. Epub 2008 May 14.

Abstract

Objectives: To describe the types and potential clinical significance of medication administration errors in assisted living (AL).

Design: Cross-sectional observational study.

Setting: This study was conducted in 12 AL settings in three states (Oregon, Washington, and New Jersey).

Participants: Participants included 29 unlicensed assistive personnel and 510 AL residents.

Measurements: Medication administration observations, chart review, and determination of rates, types, and potential clinical significance of errors using standardized methodology.

Results: Of 4,866 observations, 1,373 errors were observed (28.2% error rate). Of these, 70.8% were wrong time, 12.9% wrong dose, 11.1% omitted dose, 3.5% extra dose, 1.5% unauthorized drug, and 0.2% wrong drug. Excluding wrong time, the overall error rate dropped to 8.2%. Of the 1,373 errors, three were rated as having potential clinical significance.

Conclusion: A high number of daily medications are given in AL. Wrong time accounted for the majority of the errors. The bulk of the medications are low risk and routine; to promote optimal care delivery, clinicians need to focus on high-risk medications and residents with complex health problems.

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged, 80 and over
  • Allied Health Personnel / classification*
  • Allied Health Personnel / education
  • Assisted Living Facilities / standards
  • Assisted Living Facilities / statistics & numerical data*
  • Cross-Sectional Studies
  • Educational Status
  • Female
  • Health Services Misuse / statistics & numerical data*
  • Humans
  • Male
  • Medication Errors / classification
  • Medication Errors / statistics & numerical data*
  • Prevalence
  • United States / epidemiology