Literature DB >> 17494906

Characterization of prescribing errors in an internal medicine clinic.

Emily Beth Devine1, Jennifer L Wilson-Norton, Nathan M Lawless, Ryan N Hansen, Thomas K Hazlet, Kerry Kelly, William Hollingworth, David K Blough, Sean D Sullivan.   

Abstract

PURPOSE: A pilot study was conducted to characterize the epidemiology of prescribing errors, comparing those that occurred pre- to postimplementation of an electronic prescribing system; this article describes the results of the study during the preimplementation phase, when a handwritten prescription process was still in place.
SUMMARY: A retrospective review of 1411 prescriptions that were handwritten during a five-month time frame was used to identify and characterize medication errors and potential medication errors. The review was conducted in an internal medicine clinic in a large health system that was preparing to implement an electronic prescribing system. The first phase was the implementation of a basic system-one that facilitated the writing of a more complete and legible prescription. The second phase consisted of adding more sophisticated clinical decision support (CDS) capabilities. Three data sources were reviewed: the handwritten prescription, the electronic health record and the prescription as it had been entered into the pharmacy computer system. Almost 28% of the prescriptions evaluated contained one or more errors or potential errors. Over 90% of the errors were potential errors. Only 0.2% of the errors caused patient harm. Non-clinical errors (illegibility, missing information, wrong dose) may be affected by a basic electronic prescribing system, and clinical errors (drug-disease interaction, contraindication of a drug) may be affected only when more sophisticated levels of CDS programming are added.
CONCLUSION: Potential prescribing errors occurred frequently but few reached the patient or caused harm. The most severe errors were those that may be reduced by the implementation of an electronic prescribing system with CDS capabilities.

Entities:  

Mesh:

Year:  2007        PMID: 17494906     DOI: 10.2146/ajhp060125

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  12 in total

1.  Pharmacists' interventions in prescribing errors at hospital discharge: an observational study in the context of an electronic prescribing system in a UK teaching hospital.

Authors:  Derar H Abdel-Qader; Lindsay Harper; Judith A Cantrill; Mary P Tully
Journal:  Drug Saf       Date:  2010-11-01       Impact factor: 5.606

2.  Ambulatory prescribing errors among community-based providers in two states.

Authors:  Erika L Abramson; David W Bates; Chelsea Jenter; Lynn A Volk; Yolanda Barrón; Jill Quaresimo; Andrew C Seger; Elisabeth Burdick; Steven Simon; Rainu Kaushal
Journal:  J Am Med Inform Assoc       Date:  2011-12-01       Impact factor: 4.497

3.  Report of the 2010-2011 Standing Committee on Advocacy: Leveraging faculty engagement to improve public policy.

Authors:  Renee E Coffman; Jeffrey P Bratberg; Schwanda K Flowers; Nanci L Murphy; Ruth E Nemire; Lowell J Anderson; William G Lang
Journal:  Am J Pharm Educ       Date:  2011-12-15       Impact factor: 2.047

4.  Legal, ethical, and financial dilemmas in electronic health record adoption and use.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  Pediatrics       Date:  2011-03-21       Impact factor: 7.124

5.  Transitioning between electronic health records: effects on ambulatory prescribing safety.

Authors:  Erika L Abramson; Sameer Malhotra; Karen Fischer; Alison Edwards; Elizabeth R Pfoh; S Nena Osorio; Adam Cheriff; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2011-04-16       Impact factor: 5.128

6.  The epidemiology of medication errors: how many, how serious?

Authors:  Michael Schachter
Journal:  Br J Clin Pharmacol       Date:  2009-06       Impact factor: 4.335

Review 7.  Identifying high-risk medication: a systematic literature review.

Authors:  Eva A Saedder; Birgitte Brock; Lars Peter Nielsen; Dorthe K Bonnerup; Marianne Lisby
Journal:  Eur J Clin Pharmacol       Date:  2014-03-27       Impact factor: 2.953

8.  Evaluation of a user guidance reminder to improve the quality of electronic prescription messages.

Authors:  A A Dhavle; S T Corley; M T Rupp; J Ruiz; J Smith; R Gill; M Sow
Journal:  Appl Clin Inform       Date:  2014-08-06       Impact factor: 2.342

9.  Prevalence and Sources of Errors in Positive Airway Pressure Therapy Provisioning.

Authors:  Cinthya Pena Orbea; Kara L Dupuy-McCauley; Timothy I Morgenthaler
Journal:  J Clin Sleep Med       Date:  2019-05-15       Impact factor: 4.062

10.  Paving the Way to Personalized Genomic Medicine: Steps to Successful Implementation.

Authors:  Jennifer L Fackler; Amy L McGuire
Journal:  Curr Pharmacogenomics Person Med       Date:  2009-06-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.