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Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report

To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’...

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Autores principales: Goud, Anil, Kiefer, Elizabeth, Keller, Michelle S, Truong, Lyna, SooHoo, Spencer, Riggs, Richard V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824516/
https://www.ncbi.nlm.nih.gov/pubmed/31709387
http://dx.doi.org/10.1093/jamiaopen/ooz018
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author Goud, Anil
Kiefer, Elizabeth
Keller, Michelle S
Truong, Lyna
SooHoo, Spencer
Riggs, Richard V
author_facet Goud, Anil
Kiefer, Elizabeth
Keller, Michelle S
Truong, Lyna
SooHoo, Spencer
Riggs, Richard V
author_sort Goud, Anil
collection PubMed
description To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’s maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered over 1 year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all the prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient’s risk for opioid exposure.
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spelling pubmed-68245162019-11-06 Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report Goud, Anil Kiefer, Elizabeth Keller, Michelle S Truong, Lyna SooHoo, Spencer Riggs, Richard V JAMIA Open Brief Communications To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’s maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered over 1 year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all the prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient’s risk for opioid exposure. Oxford University Press 2019-05-27 /pmc/articles/PMC6824516/ /pubmed/31709387 http://dx.doi.org/10.1093/jamiaopen/ooz018 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Brief Communications
Goud, Anil
Kiefer, Elizabeth
Keller, Michelle S
Truong, Lyna
SooHoo, Spencer
Riggs, Richard V
Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
title Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
title_full Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
title_fullStr Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
title_full_unstemmed Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
title_short Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
title_sort calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824516/
https://www.ncbi.nlm.nih.gov/pubmed/31709387
http://dx.doi.org/10.1093/jamiaopen/ooz018
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