The contribution of staffing to medication administration errors: A text mining analysis of incident report data | PSNet

The contribution of staffing to medication administration errors: A text mining analysis of incident report data | PSNet

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Published December 18, 2019

The contribution of staffing to medication administration errors: A text mining analysis of incident report data

Härkänen M, Vehviläinen‐Julkunen K, Murrells T, Paananen J, Franklin BD, Rafferty AM. The Contribution of Staffing to Medication Administration Errors: A Text Mining Analysis of Incident Report Data. Journal of Nursing Scholarship. 2019 Nov 25.

This retrospective study used descriptive statistics, manual analysis, and text mining of medication-related incident reports and staffing (N = 72,390) in England and Wales. The text mining was conducted with SAS Text Minor tool.  Effective trigger terms included “short staffing”, “workload”, and “extremely busy”.  The authors concluded that inadequate staffing, workload, and working in haste may increase the risk for errors.  The key importance of this article is the use of an automated system to analyze incident reports.

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