Methodological variations and their effects on reported medication administration error rates

BMJ Qual Saf. 2013 Apr;22(4):278-89. doi: 10.1136/bmjqs-2012-001330. Epub 2013 Jan 15.

Abstract

Background: Medication administration errors (MAEs) are a problem, yet methodological variation between studies presents a potential barrier to understanding how best to increase safety. Using the UK as a case-study, we systematically summarised methodological variations in MAE studies, and their effects on reported MAE rates.

Methods: Nine healthcare databases were searched for quantitative observational MAE studies in UK hospitals. Methodological variations were analysed and meta-analysis of MAE rates performed using studies that used the same definitions. Odds ratios (OR) were calculated to compare MAE rates between intravenous (IV) and non-IV doses, and between paediatric and adult doses.

Results: We identified 16 unique studies reporting three MAE definitions, 44 MAE subcategories and four different denominators. Overall adult MAE rates were 5.6% of a total of 21 533 non-IV opportunities for error (OE) (95% CI 4.6% to 6.7%) and 35% of a total of 154 IV OEs (95% CI 2% to 68%). MAEs were five times more likely in IV than non-IV doses (pooled OR 5.1; 95% CI 3.5 to 7.5). Including timing errors of ±30 min increased the MAE rate from 27% to 69% of 320 IV doses in one study. Five studies were unclear as to whether the denominator included dose omissions; omissions accounted for 0%-13% of IV doses and 1.8%-5.1% of non-IV doses.

Conclusions: Wide methodological variations exist even within one country, some with significant effects on reported MAE rates. We have made recommendations for future MAE studies; these may be applied both within and outside the UK.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Drug Administration Schedule*
  • Humans
  • Medication Errors / prevention & control*
  • Medication Errors / statistics & numerical data*
  • Medication Systems, Hospital / standards*
  • Quality Assurance, Health Care
  • Risk Factors
  • Safety Management / methods*
  • United Kingdom