Predicting dispensing errors in community pharmacies: An application of the Systematic Human Error Reduction and Prediction Approach (SHERPA) (4 January 2022)

Summary

This study in Plos One used a prospective error analysis method—the Systematic Human Error Reduction and Prediction Approach (SHERPA)—to examine the process of dispensing medication in community pharmacy settings and identify solutions to avoid potential errors. These solutions were categorised as strong, intermediate or weak based on an established patient safety action hierarchy tool.

The authors identified 88 potential errors with a total of 35 remedial solutions proposed to avoid these errors in practice. Sixteen (46%) of these remedial measures were categorised as weak, 14 (40%) as intermediate and 5 (14%) as strong according to the Veteran Affairs National Centre for Patient Safety action hierarchy. The authors suggest that future research should examine the effectiveness of the proposed remedial solutions to improve patient safety.