Literature DB >> 18842975

An educational and audit tool to reduce prescribing error in intensive care.

A N Thomas1, E M Boxall, S K Laha, A J Day, D Grundy.   

Abstract

AIM: To reduce prescribing errors in an intensive care unit by providing prescriber education in tutorials, ward-based teaching and feedback in 3-monthly cycles with each new group of trainee medical staff.
METHODS: Prescribing audits were conducted three times in each 3-month cycle, once pretraining, once post-training and a final audit after 6 weeks. The audit information was fed back to prescribers with their correct prescribing rates, rates for individual error types and total error rates together with anonymised information about other prescribers' error rates.
RESULTS: The percentage of prescriptions with errors decreased over each 3-month cycle (pretraining 25%, 19%, (one missing data point), post-training 23%, 6%, 11%, final audit 7%, 3%, 5% (p<0.0005)). The total number of prescriptions and error rates varied widely between trainees (data collection one; cycle two: range of prescriptions written: 1-61, median 18; error rate: 0-100%; median: 15%).
CONCLUSION: Prescriber education and feedback reduce manual prescribing errors in intensive care.

Mesh:

Year:  2008        PMID: 18842975     DOI: 10.1136/qshc.2007.023242

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  9 in total

Review 1.  Interventions to reduce medication errors in adult intensive care: a systematic review.

Authors:  Elizabeth Manias; Allison Williams; Danny Liew
Journal:  Br J Clin Pharmacol       Date:  2012-09       Impact factor: 4.335

2.  Medication errors: prescribing faults and prescription errors.

Authors:  Giampaolo P Velo; Pietro Minuz
Journal:  Br J Clin Pharmacol       Date:  2009-06       Impact factor: 4.335

Review 3.  The effect of prescriber education on medication-related patient harm in the hospital: a systematic review.

Authors:  Jacqueline M Bos; Patricia M L A van den Bemt; Peter A G M de Smet; Cornelis Kramers
Journal:  Br J Clin Pharmacol       Date:  2017-01-12       Impact factor: 4.335

4.  Feedback on prescribing errors to junior doctors: exploring views, problems and preferred methods.

Authors:  Jeroen Bertels; Alex M Almoudaris; Pieter-Jan Cortoos; Ann Jacklin; Bryony Dean Franklin
Journal:  Int J Clin Pharm       Date:  2013-03-10

5.  A multifaceted intervention to reduce drug-related complications in surgical patients.

Authors:  Jacqueline M Bos; Patricia M L A van den Bemt; Wietske Kievit; Johan L W Pot; J Elsbeth Nagtegaal; André Wieringa; Monique M L van der Westerlaken; Gert Jan van der Wilt; Peter A G M de Smet; Cornelis Kramers
Journal:  Br J Clin Pharmacol       Date:  2016-11-10       Impact factor: 4.335

6.  Piloting online self-audit of methadone treatment in Irish general practice: results, reflections and educational outcomes.

Authors:  Marie Claire Van Hout; Des Crowley; Aoife McBride; Ide Delargy
Journal:  BMC Med Educ       Date:  2018-06-27       Impact factor: 2.463

7.  Improving junior doctor medicine prescribing and patient safety: An intervention using personalised, structured, video-enhanced feedback and deliberate practice.

Authors:  William Green; Muhammad Waseem Shahzad; Stephen Wood; Maria Martinez Martinez; Andrew Baines; Ahmad Navid; Robert Jay; Zara Whysall; John Sandars; Rakesh Patel
Journal:  Br J Clin Pharmacol       Date:  2020-05-18       Impact factor: 4.335

Review 8.  Medication Errors in Intensive Care Units: An Umbrella Review of Control Measures.

Authors:  Sara Dionisi; Noemi Giannetta; Gloria Liquori; Aurora De Leo; Victoria D'Inzeo; Giovanni Battista Orsi; Marco Di Muzio; Christian Napoli; Emanuele Di Simone
Journal:  Healthcare (Basel)       Date:  2022-06-29

9.  Effects of a computerized feedback intervention on safety performance by junior doctors: results from a randomized mixed method study.

Authors:  Sabi Redwood; Nothando B Ngwenya; James Hodson; Robin E Ferner; Jamie J Coleman
Journal:  BMC Med Inform Decis Mak       Date:  2013-06-04       Impact factor: 2.796

  9 in total

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