title: Errors in the use of medication dosage equations.
abstract: BACKGROUND
  Calculation errors in prescribing are a well-recognized problem; however, no systematic studies of actual errors involving calculation or other errors in the use of drug dosage equations are available.
  
  
  OBJECTIVE
  To characterize the nature and potential adverse consequences of actual prescribing errors involving dosage equations.
  
  
  METHODS
  Analysis of the characteristics of 200 consecutive prescribing errors with potentially adverse outcomes involving dosage equations.
  
  
  METHODS
  Tertiary care teaching hospital.
  
  
  METHODS
  Potential adverse outcomes, prescribing service, medication class, and the process point at which the error was made.
  
  
  RESULTS
  Errors most commonly involved children (69.5%) and antibiotics (53.5%). Forty-two percent of errors were considered to put the patient at risk for a serious or severe preventable adverse outcome. Errors in decimal point placement, mathematical calculation, or expression of dosage regimen accounted for 59.5% of dosage errors. The dosage equation was wrong in 29.5% of dosage errors.
  
  
  CONCLUSIONS
  The use of equations to determine medication dosages presents considerable risk to patients for errant dosing and subsequent adverse events or therapeutic failure. Errors may occur in any component of a dosage equation. Health care organizations should implement procedures to reduce the risk for errors resulting from the use of dosage equations.
authors.affiliation: Department of Pharmacy, Albany Medical Center, NY 12208, USA. tlesar@ccgateway.amc.edu
authors.forename: T S
authors.initials: TS
authors.lastname: Lesar
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D004305:Dose-Response Relationship, Drug; D005260:Female; D006784:Hospitals, Teaching / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008433:Mathematics; D008508:Medication Errors / Q000706:statistics & numerical data*; D008510:Medication Systems, Hospital / Q000706:statistics & numerical data*; D008875:Middle Aged; D009518:New York; D011247:Pregnancy