Literature DB >> 19634116

Methodological variability in detecting prescribing errors and consequences for the evaluation of interventions.

Bryony Dean Franklin1, Sylvia Birch, Imogen Savage, Ian Wong, Maria Woloshynowych, Ann Jacklin, Nick Barber.   

Abstract

PURPOSE: To compare four methods of detecting prescribing errors (PE) in the same patient cohorts before and after an intervention (computerised physician order entry; CPOE) and to determine whether the impact of CPOE is identified consistently by all methods.
METHODS: PEs were identified using (1) prospective detection by ward pharmacist; (2) retrospective health record review; (3) retrospective use of a trigger tool and (4) spontaneous reporting over two separate 4-week periods on one surgical ward in a UK teaching hospital.
RESULTS: We reviewed 93 patients pre- and 114 post-CPOE. Using all four methods, we identified 135 PE (10.7% of all medication orders) pre-CPOE, and 127 (7.9%) post-CPOE. There was little overlap in PE detected by the different methods: prospective detection identified 48 (36% of all PE) pre- and 30 (24%) post-CPOE; retrospective review (RR) revealed 93 (69%) pre- and 105 (83%) post-CPOE, trigger tool 0 pre- and 2 (2%) post-CPOE and spontaneous reporting 1 (1%) pre- and 1 (1%) post-CPOE. The calculated relative reduction in risk of PE was 50% using prospective data, 12% with RR and 26% using data from all four methods.
CONCLUSIONS: In this study, each method predominantly identified different PE. A combination of methods may be required to understand the true effectiveness of different interventions. (c) 2009 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2009        PMID: 19634116     DOI: 10.1002/pds.1811

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  21 in total

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2.  Improvement in the detection of adverse drug events by the use of electronic health and prescription records: an evaluation of two trigger tools.

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4.  Prevalence of Medication Errors Among Paediatric Inpatients: Systematic Review and Meta-Analysis.

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Review 5.  Detection of medication-related problems in hospital practice: a review.

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6.  The pattern of the discovery of medication errors in a tertiary hospital in Hong Kong.

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Journal:  Int J Clin Pharm       Date:  2013-02-20

7.  Risk factors associated with medication ordering errors.

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8.  Analysis of medication prescribing errors in critically ill children.

Authors:  Corina Glanzmann; Bernhard Frey; Christoph R Meier; Priska Vonbach
Journal:  Eur J Pediatr       Date:  2015-04-22       Impact factor: 3.183

9.  The impact of drug order complexity on prospective medication order review and verification time.

Authors:  David S Dakwa; Vincent D Marshall; Bruce W Chaffee
Journal:  J Am Med Inform Assoc       Date:  2020-02-01       Impact factor: 4.497

10.  Categorising paediatric prescribing errors by junior doctors through prescribing competency assessment: does assessment reflect actual practice?

Authors:  Tessa Davis; Hong Thoong; Anna Kelsey; Guy Makin
Journal:  Eur J Clin Pharmacol       Date:  2012-11-10       Impact factor: 2.953

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