Literature DB >> 22554316

Prescribing errors in hospital practice.

Mary P Tully1.   

Abstract

Prescribing errors that occur in hospitals have been a source of concern for decades. This narrative review describes some of the recent work in this field. There is considerable heterogeneity in definitions and methods used in research on prescribing errors. There are three definitions that are used most frequently (one for prescribing errors specifically and two for the broader arena of medication errors), although many others have also been used. Research methods used focus primarily on investigating either the prescribing process (such as errors in the dose prescribed) or the outcomes for the patient (such as preventable adverse drug events). This complicates attempts to calculate the overall prevalence or incidence of errors. Errors have been reported in handwritten descriptions of almost 15% and with electronic prescribing of up to 8% of orders. Errors are more likely to be identified on admission to hospital than at any other time (usually failure to continue ongoing medication) and errors of dose occur most commonly throughout the patients' stay. Although there is evidence that electronic prescribing reduces the number of errors, new types of errors also occur. The literature on causes of error shows some commonality with both handwritten and electronic prescribing but there are also causes that are unique to each. A greater understanding of the prevalence of the complex causal pathways found and the differences between the pathways of minor and severe errors is necessary. Such an understanding would underpin theoretically-based interventions to reduce the occurrence of prescribing errors.
© 2012 The Author. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.

Entities:  

Mesh:

Year:  2012        PMID: 22554316      PMCID: PMC3477335          DOI: 10.1111/j.1365-2125.2012.04313.x

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


  68 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.  Effect of a computerized prescriber-order-entry system on reported medication errors.

Authors:  Donald C Spencer; Aaron Leininger; Rowell Daniels; Robert P Granko; Remy R Coeytaux
Journal:  Am J Health Syst Pharm       Date:  2005-02-15       Impact factor: 2.637

3.  Categorizing the unintended sociotechnical consequences of computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Richard H Dykstra; Kenneth Guappone; James D Carpenter; Veena Seshadri
Journal:  Int J Med Inform       Date:  2006-06-21       Impact factor: 4.046

4.  The effects of electronic prescribing on the quality of prescribing.

Authors:  Parastou Donyai; Kara O'Grady; Ann Jacklin; Nick Barber; Bryony Dean Franklin
Journal:  Br J Clin Pharmacol       Date:  2007-07-27       Impact factor: 4.335

5.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

6.  A human factors investigation of medication alerts: barriers to prescriber decision-making and clinical workflow.

Authors:  Alissa L Russ; Alan J Zillich; M Sue McManus; Bradley N Doebbeling; Jason J Saleem
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

7.  Why do interns make prescribing errors? A qualitative study.

Authors:  Ian D Coombes; Danielle A Stowasser; Judith A Coombes; Charles Mitchell
Journal:  Med J Aust       Date:  2008-01-21       Impact factor: 7.738

8.  Learning from error: identifying contributory causes of medication errors in an Australian hospital.

Authors:  Pamela Nichols; Tandy-Sue Copeland; Ian A Craib; Paul Hopkins; David G Bruce
Journal:  Med J Aust       Date:  2008-03-03       Impact factor: 7.738

Review 9.  The causes of and factors associated with prescribing errors in hospital inpatients: a systematic review.

Authors:  Mary P Tully; Darren M Ashcroft; Tim Dornan; Penny J Lewis; David Taylor; Val Wass
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

10.  A comparison of handwritten and computer-assisted prescriptions in an intensive care unit.

Authors: 
Journal:  Crit Care       Date:  1998       Impact factor: 9.097

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  12 in total

1.  Pharmacist independent prescribing in secondary care: opportunities and challenges.

Authors:  Richard S Bourne; Wasim Baqir; Raliat Onatade
Journal:  Int J Clin Pharm       Date:  2016-02

2.  Risk of prescribing errors in acutely admitted patients: a pilot study.

Authors:  Dorthe Krogsgaard Bonnerup; Marianne Lisby; Eva Aggerholm Sædder; Charlotte Arp Sørensen; Birgitte Brock; Ljubica Andersen; Anette Gjetrup Eskildsen; Lars Peter Nielsen
Journal:  Int J Clin Pharm       Date:  2016-07-09

3.  Junior doctor-led 'near-peer' prescribing education for medical students.

Authors:  Kyle R Gibson; Zeshan U Qureshi; Michael T Ross; Simon R Maxwell
Journal:  Br J Clin Pharmacol       Date:  2014-01       Impact factor: 4.335

4.  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

5.  Effects of stratified medication review in high-risk patients at admission to hospital: a randomised controlled trial.

Authors:  Dorthe Krogsgaard Bonnerup; Marianne Lisby; Eva Aggerholm Sædder; Birgitte Brock; Tania Truelshøj; Charlotte Arp Sørensen; Anita Gorm Pedersen; Lars Peter Nielsen
Journal:  Ther Adv Drug Saf       Date:  2020-09-20

6.  Exploring health professionals' experiences of medication errors in Saudi Arabia.

Authors:  Mansour Tobaiqy; Derek Stewart
Journal:  Int J Clin Pharm       Date:  2013-05-07

7.  Temporal and other factors that influence the time doctors take to prescribe using an electronic prescribing system.

Authors:  Jamie J Coleman; James Hodson; Sarah K Thomas; Hannah L Brooks; Robin E Ferner
Journal:  J Am Med Inform Assoc       Date:  2014-07-29       Impact factor: 4.497

8.  Prevalence, nature and predictors of prescribing errors in mental health hospitals: a prospective multicentre study.

Authors:  Richard N Keers; Steven D Williams; Joe J Vattakatuchery; Petra Brown; Joan Miller; Lorraine Prescott; Darren M Ashcroft
Journal:  BMJ Open       Date:  2014-10-01       Impact factor: 2.692

Review 9.  What causes prescribing errors in children? Scoping review.

Authors:  Richard L Conn; Orla Kearney; Mary P Tully; Michael D Shields; Tim Dornan
Journal:  BMJ Open       Date:  2019-08-10       Impact factor: 2.692

10.  Prescribing errors by junior doctors- A comparison of errors with high risk medicines and non-high risk medicines.

Authors:  Mahdi A Alanazi; Mary P Tully; Penny J Lewis
Journal:  PLoS One       Date:  2019-01-31       Impact factor: 3.240

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