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Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study

BACKGROUND: The United States is in the midst of an opioid epidemic. Long-term use of opioid medications is associated with an increased risk of dependence. The US Centers for Disease Control and Prevention makes specific recommendations regarding opioid prescribing, including that prescription quan...

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Autores principales: Slovis, Benjamin H, Kairys, John, Babula, Bracken, Girondo, Melanie, Martino, Cara, Roke, Lindsey M, Riggio, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7157495/
https://www.ncbi.nlm.nih.gov/pubmed/32229472
http://dx.doi.org/10.2196/16199
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author Slovis, Benjamin H
Kairys, John
Babula, Bracken
Girondo, Melanie
Martino, Cara
Roke, Lindsey M
Riggio, Jeffrey
author_facet Slovis, Benjamin H
Kairys, John
Babula, Bracken
Girondo, Melanie
Martino, Cara
Roke, Lindsey M
Riggio, Jeffrey
author_sort Slovis, Benjamin H
collection PubMed
description BACKGROUND: The United States is in the midst of an opioid epidemic. Long-term use of opioid medications is associated with an increased risk of dependence. The US Centers for Disease Control and Prevention makes specific recommendations regarding opioid prescribing, including that prescription quantities should not exceed the intended duration of treatment. OBJECTIVE: The purpose of this study was to determine if opioid prescription quantities written at our institution exceed intended duration of treatment and whether enhancements to our electronic health record system improved any discrepancies. METHODS: We examined the opioid prescriptions written at our institution for a 22-month period. We examined the duration of treatment documented in the prescription itself and calculated a duration based on the quantity of tablets and doses per day. We determined whether requiring documentation of the prescription duration affected these outcomes. RESULTS: We reviewed 72,314 opioid prescriptions, of which 16.96% had a calculated duration that was greater than what was documented in the prescription. Making the duration a required field significantly reduced this discrepancy (17.95% vs 16.21%, P<.001) but did not eliminate it. CONCLUSIONS: Health information technology vendors should develop tools that, by default, accurately represent prescription durations and/or modify doses and quantities dispensed based on provider-entered durations. This would potentially reduce unintended prolonged opioid use and reduce the potential for long-term dependence.
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spelling pubmed-71574952020-04-21 Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study Slovis, Benjamin H Kairys, John Babula, Bracken Girondo, Melanie Martino, Cara Roke, Lindsey M Riggio, Jeffrey JMIR Med Inform Original Paper BACKGROUND: The United States is in the midst of an opioid epidemic. Long-term use of opioid medications is associated with an increased risk of dependence. The US Centers for Disease Control and Prevention makes specific recommendations regarding opioid prescribing, including that prescription quantities should not exceed the intended duration of treatment. OBJECTIVE: The purpose of this study was to determine if opioid prescription quantities written at our institution exceed intended duration of treatment and whether enhancements to our electronic health record system improved any discrepancies. METHODS: We examined the opioid prescriptions written at our institution for a 22-month period. We examined the duration of treatment documented in the prescription itself and calculated a duration based on the quantity of tablets and doses per day. We determined whether requiring documentation of the prescription duration affected these outcomes. RESULTS: We reviewed 72,314 opioid prescriptions, of which 16.96% had a calculated duration that was greater than what was documented in the prescription. Making the duration a required field significantly reduced this discrepancy (17.95% vs 16.21%, P<.001) but did not eliminate it. CONCLUSIONS: Health information technology vendors should develop tools that, by default, accurately represent prescription durations and/or modify doses and quantities dispensed based on provider-entered durations. This would potentially reduce unintended prolonged opioid use and reduce the potential for long-term dependence. JMIR Publications 2020-03-31 /pmc/articles/PMC7157495/ /pubmed/32229472 http://dx.doi.org/10.2196/16199 Text en ©Benjamin H Slovis, John Kairys, Bracken Babula, Melanie Girondo, Cara Martino, Lindsey M Roke, Jeffrey Riggio. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.03.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Slovis, Benjamin H
Kairys, John
Babula, Bracken
Girondo, Melanie
Martino, Cara
Roke, Lindsey M
Riggio, Jeffrey
Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study
title Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study
title_full Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study
title_fullStr Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study
title_full_unstemmed Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study
title_short Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study
title_sort discrepancies in written versus calculated durations in opioid prescriptions: pre-post study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7157495/
https://www.ncbi.nlm.nih.gov/pubmed/32229472
http://dx.doi.org/10.2196/16199
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