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Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database

Introduction: The electronic medical record (EMR) is often used as the primary source for patient medication lists and history. We sought to determine the accuracy of the EMR in documenting opioid prescriptions in patients undergoing fracture repair compared to a statewide database. Methods: This re...

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Autores principales: Pujari, Amit, Patel, Mili, Darbandi, Aria, Garlich, John, Little, Milton, Lin, Carol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718509/
https://www.ncbi.nlm.nih.gov/pubmed/36475228
http://dx.doi.org/10.7759/cureus.31027
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author Pujari, Amit
Patel, Mili
Darbandi, Aria
Garlich, John
Little, Milton
Lin, Carol
author_facet Pujari, Amit
Patel, Mili
Darbandi, Aria
Garlich, John
Little, Milton
Lin, Carol
author_sort Pujari, Amit
collection PubMed
description Introduction: The electronic medical record (EMR) is often used as the primary source for patient medication lists and history. We sought to determine the accuracy of the EMR in documenting opioid prescriptions in patients undergoing fracture repair compared to a statewide database. Methods: This retrospective study was conducted at an urban level 1 trauma center. Patients > 18 years old were included if they were admitted directly through the emergency room with isolated single orthopedic injuries. Opioid use and prescription data prior to admission and three months following surgery were collected through the EMR and a California statewide database of controlled substance prescriptions. A 2 x 2 McNemar’s test was used to identify discordance between the EMR and Controlled Substance Utilization Review and Evaluation System (CURES). Results: A total of 369 patients were included. The EMR reported that 143 patients had an opioid prescription within 30 days prior to admission compared to 75 patients reported by CURES (discordance rate [DR]: 34.7%) (p < 0.001). Between postoperative days (POD) 0-30, the EMR reported that 367 patients had an opioid prescription compared to 285 reported by CURES (DR: 22.8%) (p < 0.001). Between POD 30-60, the EMR reported that 142 patients had an opioid prescription compared to 84 reported by CURES (DR: 34.7%) (p < 0.001). Between POD 60-90, the EMR reported that 83 patients had an active opioid prescription compared to 60 patients reported by CURES (DR: 41.0%) (p = 0.10). Conclusion: There is a significant discordance between the databases in documenting opioid use. Physicians should check multiple sources to best assess active opioid prescriptions.
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spelling pubmed-97185092022-12-05 Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database Pujari, Amit Patel, Mili Darbandi, Aria Garlich, John Little, Milton Lin, Carol Cureus Pain Management Introduction: The electronic medical record (EMR) is often used as the primary source for patient medication lists and history. We sought to determine the accuracy of the EMR in documenting opioid prescriptions in patients undergoing fracture repair compared to a statewide database. Methods: This retrospective study was conducted at an urban level 1 trauma center. Patients > 18 years old were included if they were admitted directly through the emergency room with isolated single orthopedic injuries. Opioid use and prescription data prior to admission and three months following surgery were collected through the EMR and a California statewide database of controlled substance prescriptions. A 2 x 2 McNemar’s test was used to identify discordance between the EMR and Controlled Substance Utilization Review and Evaluation System (CURES). Results: A total of 369 patients were included. The EMR reported that 143 patients had an opioid prescription within 30 days prior to admission compared to 75 patients reported by CURES (discordance rate [DR]: 34.7%) (p < 0.001). Between postoperative days (POD) 0-30, the EMR reported that 367 patients had an opioid prescription compared to 285 reported by CURES (DR: 22.8%) (p < 0.001). Between POD 30-60, the EMR reported that 142 patients had an opioid prescription compared to 84 reported by CURES (DR: 34.7%) (p < 0.001). Between POD 60-90, the EMR reported that 83 patients had an active opioid prescription compared to 60 patients reported by CURES (DR: 41.0%) (p = 0.10). Conclusion: There is a significant discordance between the databases in documenting opioid use. Physicians should check multiple sources to best assess active opioid prescriptions. Cureus 2022-11-02 /pmc/articles/PMC9718509/ /pubmed/36475228 http://dx.doi.org/10.7759/cureus.31027 Text en Copyright © 2022, Pujari et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Pain Management
Pujari, Amit
Patel, Mili
Darbandi, Aria
Garlich, John
Little, Milton
Lin, Carol
Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database
title Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database
title_full Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database
title_fullStr Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database
title_full_unstemmed Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database
title_short Trust but Verify: Discordance in Opioid Reporting Between the Electronic Medical Record and a Statewide Database
title_sort trust but verify: discordance in opioid reporting between the electronic medical record and a statewide database
topic Pain Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718509/
https://www.ncbi.nlm.nih.gov/pubmed/36475228
http://dx.doi.org/10.7759/cureus.31027
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