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Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals
INTRODUCTION: It has been suggested that doctors in their first year of post-graduate training make a disproportionate number of prescribing errors. OBJECTIVE: This study aimed to compare the prevalence of prescribing errors made by first-year post-graduate doctors with that of errors by senior doct...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562000/ https://www.ncbi.nlm.nih.gov/pubmed/26115701 http://dx.doi.org/10.1007/s40264-015-0320-x |
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author | Ashcroft, Darren M. Lewis, Penny J. Tully, Mary P. Farragher, Tracey M. Taylor, David Wass, Valerie Williams, Steven D. Dornan, Tim |
author_facet | Ashcroft, Darren M. Lewis, Penny J. Tully, Mary P. Farragher, Tracey M. Taylor, David Wass, Valerie Williams, Steven D. Dornan, Tim |
author_sort | Ashcroft, Darren M. |
collection | PubMed |
description | INTRODUCTION: It has been suggested that doctors in their first year of post-graduate training make a disproportionate number of prescribing errors. OBJECTIVE: This study aimed to compare the prevalence of prescribing errors made by first-year post-graduate doctors with that of errors by senior doctors and non-medical prescribers and to investigate the predictors of potentially serious prescribing errors. METHODS: Pharmacists in 20 hospitals over 7 prospectively selected days collected data on the number of medication orders checked, the grade of prescriber and details of any prescribing errors. Logistic regression models (adjusted for clustering by hospital) identified factors predicting the likelihood of prescribing erroneously and the severity of prescribing errors. RESULTS: Pharmacists reviewed 26,019 patients and 124,260 medication orders; 11,235 prescribing errors were detected in 10,986 orders. The mean error rate was 8.8 % (95 % confidence interval [CI] 8.6–9.1) errors per 100 medication orders. Rates of errors for all doctors in training were significantly higher than rates for medical consultants. Doctors who were 1 year (odds ratio [OR] 2.13; 95 % CI 1.80–2.52) or 2 years in training (OR 2.23; 95 % CI 1.89–2.65) were more than twice as likely to prescribe erroneously. Prescribing errors were 70 % (OR 1.70; 95 % CI 1.61–1.80) more likely to occur at the time of hospital admission than when medication orders were issued during the hospital stay. No significant differences in severity of error were observed between grades of prescriber. Potentially serious errors were more likely to be associated with prescriptions for parenteral administration, especially for cardiovascular or endocrine disorders. CONCLUSION: The problem of prescribing errors in hospitals is substantial and not solely a problem of the most junior medical prescribers, particularly for those errors most likely to cause significant patient harm. Interventions are needed to target these high-risk errors by all grades of staff and hence improve patient safety. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40264-015-0320-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4562000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-45620002015-09-14 Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals Ashcroft, Darren M. Lewis, Penny J. Tully, Mary P. Farragher, Tracey M. Taylor, David Wass, Valerie Williams, Steven D. Dornan, Tim Drug Saf Original Research Article INTRODUCTION: It has been suggested that doctors in their first year of post-graduate training make a disproportionate number of prescribing errors. OBJECTIVE: This study aimed to compare the prevalence of prescribing errors made by first-year post-graduate doctors with that of errors by senior doctors and non-medical prescribers and to investigate the predictors of potentially serious prescribing errors. METHODS: Pharmacists in 20 hospitals over 7 prospectively selected days collected data on the number of medication orders checked, the grade of prescriber and details of any prescribing errors. Logistic regression models (adjusted for clustering by hospital) identified factors predicting the likelihood of prescribing erroneously and the severity of prescribing errors. RESULTS: Pharmacists reviewed 26,019 patients and 124,260 medication orders; 11,235 prescribing errors were detected in 10,986 orders. The mean error rate was 8.8 % (95 % confidence interval [CI] 8.6–9.1) errors per 100 medication orders. Rates of errors for all doctors in training were significantly higher than rates for medical consultants. Doctors who were 1 year (odds ratio [OR] 2.13; 95 % CI 1.80–2.52) or 2 years in training (OR 2.23; 95 % CI 1.89–2.65) were more than twice as likely to prescribe erroneously. Prescribing errors were 70 % (OR 1.70; 95 % CI 1.61–1.80) more likely to occur at the time of hospital admission than when medication orders were issued during the hospital stay. No significant differences in severity of error were observed between grades of prescriber. Potentially serious errors were more likely to be associated with prescriptions for parenteral administration, especially for cardiovascular or endocrine disorders. CONCLUSION: The problem of prescribing errors in hospitals is substantial and not solely a problem of the most junior medical prescribers, particularly for those errors most likely to cause significant patient harm. Interventions are needed to target these high-risk errors by all grades of staff and hence improve patient safety. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40264-015-0320-x) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-06-27 2015 /pmc/articles/PMC4562000/ /pubmed/26115701 http://dx.doi.org/10.1007/s40264-015-0320-x Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Ashcroft, Darren M. Lewis, Penny J. Tully, Mary P. Farragher, Tracey M. Taylor, David Wass, Valerie Williams, Steven D. Dornan, Tim Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals |
title | Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals |
title_full | Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals |
title_fullStr | Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals |
title_full_unstemmed | Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals |
title_short | Prevalence, Nature, Severity and Risk Factors for Prescribing Errors in Hospital Inpatients: Prospective Study in 20 UK Hospitals |
title_sort | prevalence, nature, severity and risk factors for prescribing errors in hospital inpatients: prospective study in 20 uk hospitals |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562000/ https://www.ncbi.nlm.nih.gov/pubmed/26115701 http://dx.doi.org/10.1007/s40264-015-0320-x |
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