Härkänen, M;
Vehviläinen-Julkunen, K;
Franklin, BD;
Murrells, T;
Rafferty, AM;
(2020)
Factors Related to Medication Administration Incidents in England and Wales Between 2007 and 2016: A Retrospective Trend Analysis.
Journal of Patient Safety
10.1097/PTS.0000000000000639.
(In press).
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Abstract
OBJECTIVES The aims of the study were to describe medication administration incidents reported in England and Wales between 2007 and 2016, to identify which factors (reporting year, type of incident, patients' age) are most strongly related to reported severity of medication administration incidents, and to assess the extent to which relevant information was underreported or indeterminate. METHODS Medication administration incidents reported to the National Reporting & Learning System between January 1, 2007, and December 31, 2016 were obtained. Characteristics of the data were described using frequencies, and relationships between variables were explored using cross-tabulation. RESULTS A total of 517,384 incident reports were analyzed. Of these, 97.1% (n = 502,379) occurred in acute/general hospitals, mostly on wards (69.1%, n = 357,463), with medicine the most common specialty area (44.5%, n = 230,205). Medication errors were most commonly omitted doses (25.8%, n = 133,397). The majority did not cause patient harm (83.5%, n = 432,097). When only incidents causing severe harm or death (n = 1,116) were analyzed, the most common type of error was omitted doses (24.1%). Most incidents causing severe harm or death occurred in patients aged 56 years or older. For the 10-year period, the percentage of incidents with “no harm” increased (74.1% in 2007 to 86.3% in 2016). For some variables, data were often missing or indeterminate, which has implications for data analysis. CONCLUSIONS Medication administration incidents that do not cause harm are increasingly reported, whereas incidents reported as severe harm and death have declined. Data quality needs to be improved. Underreporting and indeterminate data, inaccuracies in reporting, and coding jeopardize the overall usefulness of these data.
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