Literature DB >> 33165835

A qualitative study of prescribing errors among multi-professional prescribers within an e-prescribing system.

Fahad Alshahrani1,2, John F Marriott1, Anthony R Cox3.   

Abstract

Background Computerised Physician Order Entry (CPOE) is considered to enhance the safety of prescribing. However, it can have unintended consequences and new forms of prescribing error have been reported. Objective The aim of this study was to explore the causes and contributing factors associated with prescribing errors reported by multidisciplinary prescribers working within a CPOE system. Main Outcome Measure Multidisciplinary prescribers experience of prescribing errors in an CPOE system. Method This qualitative study was conducted in a hospital with a well-established CPOE system. Semi-structured qualitative interviews were conducted with prescribers from the professions of pharmacy, nursing, and medicine. Interviews analysed using a mixed inductive and deductive approach to develop a framework for the causes of error. Results Twenty-three prescribers were interviewed. Six main themes influencing prescribing were found: the system, the prescriber, the patient, the team, the task of prescribing and the work environment. Prominent issues related to CPOE included, incorrect drug name picking, default auto-population of dosages, alert fatigue and remote prescribing. These interacted within a complex prescribing environment. No substantial differences in the experience of CPOE were found between the professions. Conclusion Medical and non-medical prescribers have similar experiences of prescribing errors when using CPOE, aligned with existing published literature about medical prescribing. Causes of electronic prescribing errors are multifactorial in nature and prescribers describe how factors interact to create the conditions errors. While interventions should focus on direct CPOE issues, such as training and design, socio-technical, and environmental aspects of practice remain important.
© 2020. The Author(s).

Entities:  

Keywords:  CPOE; Clinical pharmacy; Electronic prescribing; Prescribing

Year:  2020        PMID: 33165835     DOI: 10.1007/s11096-020-01192-0

Source DB:  PubMed          Journal:  Int J Clin Pharm


  45 in total

1.  Outpatient prescribing errors and the impact of computerized prescribing.

Authors:  Tejal K Gandhi; Saul N Weingart; Andrew C Seger; Joshua Borus; Elisabeth Burdick; Eric G Poon; Lucian L Leape; David W Bates
Journal:  J Gen Intern Med       Date:  2005-09       Impact factor: 5.128

2.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

3.  Clarification of terminology in medication errors: definitions and classification.

Authors:  Robin E Ferner; Jeffrey K Aronson
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

4.  Return on investment for a computerized physician order entry system.

Authors:  Rainu Kaushal; Ashish K Jha; Calvin Franz; John Glaser; Kanaka D Shetty; Tonushree Jaggi; Blackford Middleton; Gilad J Kuperman; Ramin Khorasani; Milenko Tanasijevic; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

5.  The impact of computerized physician order entry on medication error prevention.

Authors:  D W Bates; J M Teich; J Lee; D Seger; G J Kuperman; N Ma'Luf; D Boyle; L Leape
Journal:  J Am Med Inform Assoc       Date:  1999 Jul-Aug       Impact factor: 4.497

6.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

7.  Medication Without Harm: WHO's Third Global Patient Safety Challenge.

Authors:  Liam J Donaldson; Edward T Kelley; Neelam Dhingra-Kumar; Marie-Paule Kieny; Aziz Sheikh
Journal:  Lancet       Date:  2017-04-29       Impact factor: 79.321

8.  Effects of two commercial electronic prescribing systems on prescribing error rates in hospital in-patients: a before and after study.

Authors:  Johanna I Westbrook; Margaret Reckmann; Ling Li; William B Runciman; Rosemary Burke; Connie Lo; Melissa T Baysari; Jeffrey Braithwaite; Richard O Day
Journal:  PLoS Med       Date:  2012-01-31       Impact factor: 11.069

9.  Cross-sectional study of prescribing errors in patients admitted to nine hospitals across North West England.

Authors:  Kay Seden; Jamie J Kirkham; Tom Kennedy; Michael Lloyd; Sally James; Aine McManus; Andrew Ritchings; Jennifer Simpson; Dave Thornton; Andrea Gill; Carolyn Coleman; Bethan Thorpe; Saye H Khoo
Journal:  BMJ Open       Date:  2013-01-09       Impact factor: 2.692

Review 10.  The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis.

Authors:  Teryl K Nuckols; Crystal Smith-Spangler; Sally C Morton; Steven M Asch; Vaspaan M Patel; Laura J Anderson; Emily L Deichsel; Paul G Shekelle
Journal:  Syst Rev       Date:  2014-06-04
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  2 in total

1.  Implementation of E-prescription for Multidose Dispensed Drugs: Qualitative Study of General Practitioners' Experiences.

Authors:  Monika Knudsen Gullslett; Trine Strand Bergmo
Journal:  JMIR Hum Factors       Date:  2022-01-17

2.  Issues with the Swedish e-prescribing system - An analysis of health information technology-related incident reports using an existing classification system.

Authors:  Md Shafiqur Rahman Jabin; Tora Hammar
Journal:  Digit Health       Date:  2022-10-11
  2 in total

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