[Prescription errors in patients admitted to an internal medicine department from the emergency room].
OBJECTIVE
To identify and quantify emergency room prescription errors upon patient admission in an internal medicine unit, assess their severity and causes, and evaluate their potential clinical impact.


METHODS
Discrepancies found between emergency room and internal medicine unit prescriptions were analyzed by 4th-year resident pharmacists. Prescription errors were collected and classified according to their severity and potential morbidity, and a medical analysis of service value was performed according to Overhage's method. Furthermore, pharmacist actions regarding therapeutic regimen optimization are described.


RESULTS
Of 177 patients, 50 had prescription errors, for a total of 141 errors. Seven percent of prescriptions had an error. Mean errors per patient amounted to 0.8 (SD 1.51). Most commonly involved medications included anti-asthmatic and anti-infectious agents, and fluid therapy agents. On severity assessment 12.8% were considered severe, and 57.4% were considered significant. The main cause was omission of a needed therapy. Potential pharmacotherapeutic morbidity is related to adverse effects and cardiovascular disease. Medical assessment considered 12% very significant, and 52% significant. Pharmacist actions were directed towards effectiveness improvement in 57% of cases, and safety in 43.2% of cases.


CONCLUSIONS
Emergency departments, as main entry points for patient admission to hospital, should be considered a priority in prescription quality improvement programs.
Gutiérrez Paúls
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Servicios de Farmacia y Medicina Interna, Hospital Universitario La Paz, Madrid, Spain. guti_pauls@hotmail.com
González Alvarez
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I
Requena Caturla
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Fernández Capitán
M C
MC
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D004636:Emergency Service, Hospital; D005260:Female; D006748:Hospital Departments; D006801:Humans; D007388:Internal Medicine; D008297:Male; D008508:Medication Errors / Q000706:statistics & numerical data*; D008875:Middle Aged