Errors in a busy emergency department.
OBJECTIVE
We describe errors occurring in a busy ED.


METHODS
This is a prospective, observational study of reported errors at an academic emergency department (ED) with 100000 annual visits. Trained personnel interviewed all ED staff with direct patient contact, during and at the end of every shift, by using standardized data sheets.


RESULTS
One thousand nine hundred thirty-five ED patients registered during the 7-day study period in the summer of 2001. Four hundred error reports were generated, identifying 346 nonduplicative errors (18 per 100 registered patients; 95% confidence interval [CI] 15.9 to 20.0). Forty percent of errors were reported by nurses, 25% by providers, 19% by clerical staff, 13% by technicians and orderlies, and 3% multiple reporters. Errors reported for every 100 hours worked were similar for all groups (5.5; 95% CI 5.2 to 5.9). Errors were categorized as 22% diagnostic studies, 16% administrative procedures, 16% pharmacotherapy, 13% documentation, 12% communication, 11% environmental, and 9% other. Patients involved in errors were more likely to be older (P <.0001) and more likely to have higher visit level intensity (P <.0001) than registered ED patients. Ninety-eight percent of errors did not have a significant adverse outcome. Seven errors (0.36 per 100 registered patients; 95% CI 0.14 to 0.72) were associated with an adverse outcome.


CONCLUSIONS
Reported errors occurred in almost every aspect of emergency care. Ninety-eight percent of errors in the ED do not result in adverse outcomes. System changes need to be implemented to reduce ED errors.
Fordyce
James
J
Department of Emergency Medicine, Baystate Medical Center, Springfield, MA 01199, USA.
Blank
Fidela S j
FS
Pekow
Penelope
P
Smithline
Howard A
HA
Ritter
George
G
Gehlbach
Stephen
S
Benjamin
Evan
E
Henneman
Philip L
PL
D000046:Academic Medical Centers; D016009:Chi-Square Distribution; D004636:Emergency Service, Hospital; D006801:Humans; D019300:Medical Errors / Q000706:statistics & numerical data*; D016012:Poisson Distribution; D011446:Prospective Studies