Literature DB >> 17662088

The effects of electronic prescribing on the quality of prescribing.

Parastou Donyai1, Kara O'Grady, Ann Jacklin, Nick Barber, Bryony Dean Franklin.   

Abstract

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Electronic prescribing has been shown to reduce prescribing errors in US hospitals. However we know little about its effect on prescribing quality, or its effectiveness in UK hospitals where systems for medication prescribing and supply are very different. Hospital pharmacists already review prescriptions to both detect errors and improve prescription quality. WHAT THIS STUDY ADDS: Electronic prescribing significantly increased prescribing quality in a UK hospital, as shown by fewer pharmacists' interventions and fewer prescribing errors. However, some new types of error were introduced. There was relatively little overlap between prescribing errors and pharmacists' interventions, signifying their different contributions to prescribing quality. Electronic prescribing and pharmacists' interventions should be viewed as an integrated system. AIMS: To investigate the effects of electronic prescribing (EP) on prescribing quality, as indicated by prescribing errors and pharmacists' clinical interventions, in a UK hospital.
METHODS: Prescribing errors and pharmacists' interventions were recorded by the ward pharmacist during a 4 week period both pre- and post-EP, with a second check by the principal investigator. The percentage of new medication orders with a prescribing error and/or pharmacist's intervention was calculated for each study period.
RESULTS: Following the introduction of EP, there was a significant reduction in both pharmacists' interventions and prescribing errors. Interventions reduced from 73 (3.0% of all medication orders) to 45 (1.9%) (95% confidence interval (CI) for the absolute reduction 0.2, 2.0%), and errors from 94 (3.8%) to 48 (2.0%) (95% CI 0.9, 2.7%). Ten EP-specific prescribing errors were identified. Only 52% of pharmacists' interventions related to a prescribing error pre-EP, and 60% post-EP; only 40% and 56% of prescribing errors resulted in an intervention pre- and post-EP, respectively.
CONCLUSIONS: EP improved the quality of prescribing by reducing both prescribing errors and pharmacists' clinical interventions. Prescribers and pharmacists need to be aware of new types of error with EP, so that they can best target their activities to reduce clinical risk. Pharmacists may need to change the way they work to complement, rather than duplicate, the benefits of EP.

Mesh:

Year:  2007        PMID: 17662088      PMCID: PMC2253693          DOI: 10.1111/j.1365-2125.2007.02995.x

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  19 in total

1.  Prescribing errors in hospital inpatients: their incidence and clinical significance.

Authors:  B Dean; M Schachter; C Vincent; N Barber
Journal:  Qual Saf Health Care       Date:  2002-12

2.  Predicting the rate of physician-accepted interventions by hospital pharmacists in the United Kingdom.

Authors:  N D Barber; R Batty; D A Ridout
Journal:  Am J Health Syst Pharm       Date:  1997-02-15       Impact factor: 2.637

3.  Effect of reactive pharmacy intervention on quality of hospital prescribing.

Authors:  C J Hawkey; S Hodgson; A Norman; T K Daneshmend; S T Garner
Journal:  BMJ       Date:  1990-04-14

Review 4.  Expanding the roles of outpatient pharmacists: effects on health services utilisation, costs, and patient outcomes.

Authors:  J Beney; L A Bero; C Bond
Journal:  Cochrane Database Syst Rev       Date:  2000

5.  Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group.

Authors:  D W Bates; D J Cullen; N Laird; L A Petersen; S D Small; D Servi; G Laffel; B J Sweitzer; B F Shea; R Hallisey
Journal:  JAMA       Date:  1995-07-05       Impact factor: 56.272

6.  Guided medication dosing for inpatients with renal insufficiency.

Authors:  G M Chertow; J Lee; G J Kuperman; E Burdick; J Horsky; D L Seger; R Lee; A Mekala; J Song; A L Komaroff; D W Bates
Journal:  JAMA       Date:  2001-12-12       Impact factor: 56.272

7.  Computerized physician order entry and medication errors in a pediatric critical care unit.

Authors:  Amy L Potts; Frederick E Barr; David F Gregory; Lorianne Wright; Neal R Patel
Journal:  Pediatrics       Date:  2004-01       Impact factor: 7.124

8.  Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital.

Authors:  W L Boyko; P J Yurkowski; M F Ivey; J A Armitstead; B L Roberts
Journal:  Am J Health Syst Pharm       Date:  1997-07-15       Impact factor: 2.637

9.  The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study.

Authors:  Bryony Dean Franklin; Kara O'Grady; Parastou Donyai; Ann Jacklin; Nick Barber
Journal:  Qual Saf Health Care       Date:  2007-08

10.  Systems analysis of adverse drug events. ADE Prevention Study Group.

Authors:  L L Leape; D W Bates; D J Cullen; J Cooper; H J Demonaco; T Gallivan; R Hallisey; J Ives; N Laird; G Laffel
Journal:  JAMA       Date:  1995-07-05       Impact factor: 56.272

View more
  43 in total

1.  The use of a consultant-led ward round checklist to improve paediatric prescribing: an interrupted time series study.

Authors:  Carole Lépée; Robert E Klaber; Jonathan Benn; Penny J Fletcher; Pieter-Jan Cortoos; Ann Jacklin; Bryony Dean Franklin
Journal:  Eur J Pediatr       Date:  2012-05-25       Impact factor: 3.183

2.  Errors and electronic prescribing: a controlled laboratory study to examine task complexity and interruption effects.

Authors:  Farah Magrabi; Simon Y W Li; Richard O Day; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Impact of a focussed teaching programme on practical prescribing skills among final year medical students.

Authors:  Euan A Sandilands; Karen Reid; Laura Shaw; D Nicholas Bateman; David J Webb; Neeraj Dhaun; David C Kluth
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

Review 4.  Does computerized provider order entry reduce prescribing errors for hospital inpatients? A systematic review.

Authors:  Margaret H Reckmann; Johanna I Westbrook; Yvonne Koh; Connie Lo; Richard O Day
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

5.  Use of ATC to describe duplicate medications in primary care prescriptions.

Authors:  Chiao Mei Lim; Faridah Aryani Md Yusof; Sharmini Selvarajah; Teck Onn Lim
Journal:  Eur J Clin Pharmacol       Date:  2011-04-16       Impact factor: 2.953

6.  Evaluation of RxNorm for Representing Ambulatory Prescriptions.

Authors:  Sean M O'Neill; Douglas S Bell
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

Review 7.  The role of computerized decision support in reducing errors in selecting medicines for prescription: narrative review.

Authors:  Melissa T Baysari; Johanna Westbrook; Jeffrey Braithwaite; Richard O Day
Journal:  Drug Saf       Date:  2011-04-01       Impact factor: 5.606

Review 8.  Quality of medication use in primary care--mapping the problem, working to a solution: a systematic review of the literature.

Authors:  Sara Garfield; Nick Barber; Paul Walley; Alan Willson; Lina Eliasson
Journal:  BMC Med       Date:  2009-09-21       Impact factor: 8.775

9.  Prescribing errors during hospital inpatient care: factors influencing identification by pharmacists.

Authors:  Mary P Tully; Iain E Buchan
Journal:  Pharm World Sci       Date:  2009-09-24

Review 10.  E-prescribing: a focused review and new approach to addressing safety in pharmacies and primary care.

Authors:  Olufunmilola K Odukoya; Michelle A Chui
Journal:  Res Social Adm Pharm       Date:  2012-10-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.