Literature DB >> 28698975

Exploring the impact of feedback on prescribing error rates: a pilot study.

Michael Lloyd1, Simon David Watmough2, Sarah Victoria O'Brien3, Kevin Hardy4, Niall Furlong4.   

Abstract

Background Prescribing errors are prevalent in hospital settings with feedback identified as one potential error reduction strategy. Hospital pharmacists work alongside prescribers at ward level and are credible facilitators of prescribing error feedback. A formalised programme of pharmacist-led prescribing error feedback was designed and implemented Objective To determine the impact of the feedback intervention on prescribing error rates. Method Prospective prescribing audits were undertaken at baseline for control (n = 11) and intervention group (n = 10) prescribers. The intervention group received pharmacist-led, individualised constructive feedback on their prescribing, whilst the control group continued with existing practice. Prescribing was re-audited following 3-months of the intervention. Data were analysed using chi-squared and independent t-tests. Results Error frequency (123/641 intervention and 121/649 control) was comparable between groups at baseline (p = 0.819) with significant differences (90/1677 intervention and 236/984 control) post intervention (p = <0.005). Prescribing error rates were lower in the intervention group (mean change of -11.5%) and higher in the control group (mean change of +5.9%) following the intervention, with a mean significant difference of 17.4% (SD 4.7, 95% CI, -27.3 to -7.6), t = -3.694, p < 0.05, between groups. Conclusion Pharmacist-led prescribing error feedback positively influences prescribing. This intervention shows promise for wider application in hospital settings to optimise patient safety.

Entities:  

Keywords:  Feedback; Pharmacist; Prescriber; Prescribing error; Reduction; United Kingdom

Mesh:

Year:  2017        PMID: 28698975     DOI: 10.1007/s11096-017-0503-x

Source DB:  PubMed          Journal:  Int J Clin Pharm


  9 in total

Review 1.  Audit and feedback: effects on professional practice and healthcare outcomes.

Authors:  Noah Ivers; Gro Jamtvedt; Signe Flottorp; Jane M Young; Jan Odgaard-Jensen; Simon D French; Mary Ann O'Brien; Marit Johansen; Jeremy Grimshaw; Andrew D Oxman
Journal:  Cochrane Database Syst Rev       Date:  2012-06-13

Review 2.  Twelve tips for giving feedback effectively in the clinical environment.

Authors:  Subha Ramani; Sharon K Krackov
Journal:  Med Teach       Date:  2012-06-25       Impact factor: 3.650

3.  Exploring attitudes and opinions of pharmacists toward delivering prescribing error feedback: A qualitative case study using focus group interviews.

Authors:  M Lloyd; S D Watmough; S V O'Brien; N Furlong; K Hardy
Journal:  Res Social Adm Pharm       Date:  2015-09-05

4.  Formalized prescribing error feedback from hospital pharmacists: doctors' attitudes and opinions.

Authors:  M Lloyd; S D Watmough; S V O'Brien; N Furlong; K Hardy
Journal:  Br J Hosp Med (Lond)       Date:  2015-12       Impact factor: 0.825

5.  Medication errors: definitions and classification.

Authors:  Jeffrey K Aronson
Journal:  Br J Clin Pharmacol       Date:  2009-06       Impact factor: 4.335

Review 6.  A systematic review of educational interventions to change behaviour of prescribers in hospital settings, with a particular emphasis on new prescribers.

Authors:  Nicola Brennan; Karen Mattick
Journal:  Br J Clin Pharmacol       Date:  2013-02       Impact factor: 4.335

7.  'If no-one stops me, I'll make the mistake again': Changing prescribing behaviours through feedback; A Perceptual Control Theory perspective'.

Authors:  Jane Ferguson; Chris Keyworth; Mary P Tully
Journal:  Res Social Adm Pharm       Date:  2017-03-02

8.  Feedback in clinical medical education.

Authors:  J Ende
Journal:  JAMA       Date:  1983-08-12       Impact factor: 56.272

Review 9.  Improving feedback on junior doctors' prescribing errors: mixed-methods evaluation of a quality improvement project.

Authors:  Matthew Reynolds; Seetal Jheeta; Jonathan Benn; Inderjit Sanghera; Ann Jacklin; Digby Ingle; Bryony Dean Franklin
Journal:  BMJ Qual Saf       Date:  2016-04-04       Impact factor: 7.035

  9 in total

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