Literature DB >> 2325234

Medication prescribing errors in a teaching hospital.

T S Lesar1, L L Briceland, K Delcoure, J C Parmalee, V Masta-Gornic, H Pohl.   

Abstract

A study of prescribing errors committed by physicians that occurred in a tertiary-care teaching hospital is reported. From a total of 289 411 medication orders written during the 1-year study period, 905 prescribing errors were detected and averted, of which 522 (57.7%) were rated as having potential for adverse consequences. The overall detected error rate was 3.13 errors for each 1000 orders written and a rate of 1.81 significant errors per 1000 orders. The error rate (4.01 per 1000 orders) was greatest between 12 pm and 3:59 pm. First-year postgraduate residents were found to have a higher error rate (4.25 per 1000 orders) than other prescriber classes, and obstetrics/gynecology services (3.54 per 1000 orders) and surgery/anesthesia services (3.42 per 1000 orders) had greater error rates than other services. The study results demonstrate the significant risk to patients from medication prescribing errors. Educational, operational, and risk-management activities should include efforts directed at reducing the risk to patients from prescribing errors.

Entities:  

Mesh:

Year:  1990        PMID: 2325234

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  81 in total

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Authors:  B Zernikow; E Michel; G Fleischhack; U Bode
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2.  Epidemiology of medical error.

Authors:  S N Weingart; R M Wilson; R W Gibberd; B Harrison
Journal:  BMJ       Date:  2000-03-18

3.  Epidemiology of medical error

Authors: 
Journal:  West J Med       Date:  2000-06

4.  What is a prescribing error?

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Journal:  Qual Health Care       Date:  2000-12

5.  Analysis and quantification of prescribing and transcription errors in a paediatric oncology service.

Authors:  R Pichon; G L Zelger; P Wacker; A L Vodoz; J Humbert
Journal:  Pharm World Sci       Date:  2002-02

6.  Does national regulatory mandate of provider order entry portend greater benefit than risk for health care delivery? The 2001 ACMI debate. The American College of Medical Informatics.

Authors:  J Marc Overhage; Blackford Middleton; Randolph A Miller; Rita D Zielstorff; William R Hersh
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

7.  Hospital prescribing errors: epidemiological assessment of predictors.

Authors:  R Fijn; P M L A Van den Bemt; M Chow; C J De Blaey; L T W De Jong-Van den Berg; J R B J Brouwers
Journal:  Br J Clin Pharmacol       Date:  2002-03       Impact factor: 4.335

8.  Evaluating the impact of information technology on medication errors: a simulation.

Authors:  James G Anderson; Stephen J Jay; Marilyn Anderson; Thaddeus J Hunt
Journal:  J Am Med Inform Assoc       Date:  2003-01-28       Impact factor: 4.497

9.  A look into the nature and causes of human errors in the intensive care unit. 1995.

Authors:  Y Donchin; D Gopher; M Olin; Y Badihi; M Biesky; C L Sprung; R Pizov; S Cotev
Journal:  Qual Saf Health Care       Date:  2003-04

10.  Learning from prescribing errors.

Authors:  B Dean
Journal:  Qual Saf Health Care       Date:  2002-09
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