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By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department

INTRODUCTION: Opioid prescribing patterns have come under increasing scrutiny with the recent rise in opioid prescriptions, opioid misuse and abuse, and opioid-related adverse events. To date, there have been limited studies on the effect of default tablet quantities as part of emergency department...

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Autores principales: Santistevan, Jamie R., Sharp, Brian R., Hamedani, Azita G., Fruhan, Scott, Lee, Andrew W., Patterson, Brian W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851516/
https://www.ncbi.nlm.nih.gov/pubmed/29560071
http://dx.doi.org/10.5811/westjem.2017.10.33798
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author Santistevan, Jamie R.
Sharp, Brian R.
Hamedani, Azita G.
Fruhan, Scott
Lee, Andrew W.
Patterson, Brian W.
author_facet Santistevan, Jamie R.
Sharp, Brian R.
Hamedani, Azita G.
Fruhan, Scott
Lee, Andrew W.
Patterson, Brian W.
author_sort Santistevan, Jamie R.
collection PubMed
description INTRODUCTION: Opioid prescribing patterns have come under increasing scrutiny with the recent rise in opioid prescriptions, opioid misuse and abuse, and opioid-related adverse events. To date, there have been limited studies on the effect of default tablet quantities as part of emergency department (ED) electronic order entry. Our goal was to evaluate opioid prescribing patterns before and after the removal of a default quantity of 20 tablets from ED electronic order entry. METHODS: We performed a retrospective observational study at a single academic, urban ED with 58,000 annual visits. We identified all adult patients (18 years or older) seen in the ED and discharged home with prescriptions for tablet forms of hydrocodone and oxycodone (including mixed formulations with acetaminophen). We compared the quantity of tablets prescribed per opioid prescription 12 months before and 10 months after the electronic order-entry prescription default quantity of 20 tablets was removed and replaced with no default quantity. No specific messaging was given to providers, to avoid influencing prescribing patterns. We used two-sample Wilcoxon rank-sum test, two-sample test of proportions, and Pearson’s chi-squared tests where appropriate for statistical analysis. RESULTS: A total of 4,104 adult patients received discharge prescriptions for opioids in the pre-intervention period (151.6 prescriptions per 1,000 discharged adult patients), and 2,464 post-intervention (106.69 prescriptions per 1,000 discharged adult patients). The median quantity of opioid tablets prescribed decreased from 20 (interquartile ration [IQR] 10–20) to 15 (IQR 10–20) (p<0.0001) after removal of the default quantity. While the most frequent quantity of tablets received in both groups was 20 tablets, the proportion of patients who received prescriptions on discharge that contained 20 tablets decreased from 0.5 (95% confidence interval [CI] [0.48–0.52]) to 0.23 (95% CI [0.21–0.24]) (p<0.001) after default quantity removal. CONCLUSION: Although the median number of tablets differed significantly before and after the intervention, the clinical significance of this is unclear. An observed wider distribution of the quantity of tablets prescribed after removal of the default quantity of 20 may reflect more appropriate prescribing patterns (i.e., less severe indications receiving fewer tabs and more severe indications receiving more). A default value of 20 tablets for opioid prescriptions may be an example of the electronic medical record’s ability to reduce practice variability in medication orders actually counteracting optimal patient care.
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spelling pubmed-58515162018-03-20 By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department Santistevan, Jamie R. Sharp, Brian R. Hamedani, Azita G. Fruhan, Scott Lee, Andrew W. Patterson, Brian W. West J Emerg Med Behavioral Health INTRODUCTION: Opioid prescribing patterns have come under increasing scrutiny with the recent rise in opioid prescriptions, opioid misuse and abuse, and opioid-related adverse events. To date, there have been limited studies on the effect of default tablet quantities as part of emergency department (ED) electronic order entry. Our goal was to evaluate opioid prescribing patterns before and after the removal of a default quantity of 20 tablets from ED electronic order entry. METHODS: We performed a retrospective observational study at a single academic, urban ED with 58,000 annual visits. We identified all adult patients (18 years or older) seen in the ED and discharged home with prescriptions for tablet forms of hydrocodone and oxycodone (including mixed formulations with acetaminophen). We compared the quantity of tablets prescribed per opioid prescription 12 months before and 10 months after the electronic order-entry prescription default quantity of 20 tablets was removed and replaced with no default quantity. No specific messaging was given to providers, to avoid influencing prescribing patterns. We used two-sample Wilcoxon rank-sum test, two-sample test of proportions, and Pearson’s chi-squared tests where appropriate for statistical analysis. RESULTS: A total of 4,104 adult patients received discharge prescriptions for opioids in the pre-intervention period (151.6 prescriptions per 1,000 discharged adult patients), and 2,464 post-intervention (106.69 prescriptions per 1,000 discharged adult patients). The median quantity of opioid tablets prescribed decreased from 20 (interquartile ration [IQR] 10–20) to 15 (IQR 10–20) (p<0.0001) after removal of the default quantity. While the most frequent quantity of tablets received in both groups was 20 tablets, the proportion of patients who received prescriptions on discharge that contained 20 tablets decreased from 0.5 (95% confidence interval [CI] [0.48–0.52]) to 0.23 (95% CI [0.21–0.24]) (p<0.001) after default quantity removal. CONCLUSION: Although the median number of tablets differed significantly before and after the intervention, the clinical significance of this is unclear. An observed wider distribution of the quantity of tablets prescribed after removal of the default quantity of 20 may reflect more appropriate prescribing patterns (i.e., less severe indications receiving fewer tabs and more severe indications receiving more). A default value of 20 tablets for opioid prescriptions may be an example of the electronic medical record’s ability to reduce practice variability in medication orders actually counteracting optimal patient care. Department of Emergency Medicine, University of California, Irvine School of Medicine 2018-03 2018-02-12 /pmc/articles/PMC5851516/ /pubmed/29560071 http://dx.doi.org/10.5811/westjem.2017.10.33798 Text en Copyright: © 2018 Santistevan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Behavioral Health
Santistevan, Jamie R.
Sharp, Brian R.
Hamedani, Azita G.
Fruhan, Scott
Lee, Andrew W.
Patterson, Brian W.
By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department
title By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department
title_full By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department
title_fullStr By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department
title_full_unstemmed By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department
title_short By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department
title_sort by default: the effect of prepopulated prescription quantities on opioid prescribing in the emergency department
topic Behavioral Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851516/
https://www.ncbi.nlm.nih.gov/pubmed/29560071
http://dx.doi.org/10.5811/westjem.2017.10.33798
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