Cargando…
Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study
BACKGROUND: The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. OBJECTIVE: The objective of this study is to determine whether modification of opioid prescribing presets i...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082388/ https://www.ncbi.nlm.nih.gov/pubmed/33851922 http://dx.doi.org/10.2196/24360 |
_version_ | 1783685834035167232 |
---|---|
author | Slovis, Benjamin Heritier Riggio, Jeffrey M Girondo, Melanie Martino, Cara Babula, Bracken Roke, Lindsey M Kairys, John C |
author_facet | Slovis, Benjamin Heritier Riggio, Jeffrey M Girondo, Melanie Martino, Cara Babula, Bracken Roke, Lindsey M Kairys, John C |
author_sort | Slovis, Benjamin Heritier |
collection | PubMed |
description | BACKGROUND: The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. OBJECTIVE: The objective of this study is to determine whether modification of opioid prescribing presets in the EHR could change prescribing patterns for an entire hospital system. METHODS: We performed a quasi-experimental retrospective pre–post analysis of a 24-month period before and after modifications to our EHR’s opioid prescription presets to match Centers for Disease Control and Prevention guidelines. We included all opioid prescriptions prescribed at our institution for nonchronic pain. Our modifications to the EHR include (1) making duration of treatment for an opioid prescription mandatory, (2) adding a quick button for 3 days’ duration while removing others, and (3) setting the default quantity of all oral opioid formulations to 10 tablets. We examined the quantity in tablets, duration in days, and proportion of prescriptions greater than 90 morphine milligram equivalents/day for our hospital system, and compared these values before and after our intervention for effect. RESULTS: There were 78,246 prescriptions included in our study written on 30,975 unique patients. There was a significant reduction for all opioid prescriptions pre versus post in (1) the overall median quantity of tablets dispensed (54 [IQR 40-120] vs 42 [IQR 18-90]; P<.001), (2) median duration of treatment (10.5 days [IQR 5.0-30] vs 7.5 days [IQR 3.0-30]; P<.001), and (3) proportion of prescriptions greater than 90 morphine milligram equivalents/day (27.46% [10,704/38,976; 95% CI 27.02%-27.91%] vs 22.86% [8979/39,270; 95% CI 22.45%-23.28%]; P<.001). CONCLUSIONS: Modifications of opioid prescribing presets in the EHR can improve prescribing practice patterns. Reducing duration and quantity of opioid prescriptions could reduce the risk of dependence and overdose. |
format | Online Article Text |
id | pubmed-8082388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80823882021-05-06 Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study Slovis, Benjamin Heritier Riggio, Jeffrey M Girondo, Melanie Martino, Cara Babula, Bracken Roke, Lindsey M Kairys, John C J Med Internet Res Original Paper BACKGROUND: The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. OBJECTIVE: The objective of this study is to determine whether modification of opioid prescribing presets in the EHR could change prescribing patterns for an entire hospital system. METHODS: We performed a quasi-experimental retrospective pre–post analysis of a 24-month period before and after modifications to our EHR’s opioid prescription presets to match Centers for Disease Control and Prevention guidelines. We included all opioid prescriptions prescribed at our institution for nonchronic pain. Our modifications to the EHR include (1) making duration of treatment for an opioid prescription mandatory, (2) adding a quick button for 3 days’ duration while removing others, and (3) setting the default quantity of all oral opioid formulations to 10 tablets. We examined the quantity in tablets, duration in days, and proportion of prescriptions greater than 90 morphine milligram equivalents/day for our hospital system, and compared these values before and after our intervention for effect. RESULTS: There were 78,246 prescriptions included in our study written on 30,975 unique patients. There was a significant reduction for all opioid prescriptions pre versus post in (1) the overall median quantity of tablets dispensed (54 [IQR 40-120] vs 42 [IQR 18-90]; P<.001), (2) median duration of treatment (10.5 days [IQR 5.0-30] vs 7.5 days [IQR 3.0-30]; P<.001), and (3) proportion of prescriptions greater than 90 morphine milligram equivalents/day (27.46% [10,704/38,976; 95% CI 27.02%-27.91%] vs 22.86% [8979/39,270; 95% CI 22.45%-23.28%]; P<.001). CONCLUSIONS: Modifications of opioid prescribing presets in the EHR can improve prescribing practice patterns. Reducing duration and quantity of opioid prescriptions could reduce the risk of dependence and overdose. JMIR Publications 2021-04-14 /pmc/articles/PMC8082388/ /pubmed/33851922 http://dx.doi.org/10.2196/24360 Text en ©Benjamin Heritier Slovis, Jeffrey M Riggio, Melanie Girondo, Cara Martino, Bracken Babula, Lindsey M Roke, John C Kairys. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.04.2021. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Slovis, Benjamin Heritier Riggio, Jeffrey M Girondo, Melanie Martino, Cara Babula, Bracken Roke, Lindsey M Kairys, John C Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study |
title | Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study |
title_full | Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study |
title_fullStr | Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study |
title_full_unstemmed | Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study |
title_short | Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study |
title_sort | reduction in hospital system opioid prescribing for acute pain through default prescription preference settings: pre–post study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082388/ https://www.ncbi.nlm.nih.gov/pubmed/33851922 http://dx.doi.org/10.2196/24360 |
work_keys_str_mv | AT slovisbenjaminheritier reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy AT riggiojeffreym reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy AT girondomelanie reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy AT martinocara reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy AT babulabracken reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy AT rokelindseym reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy AT kairysjohnc reductioninhospitalsystemopioidprescribingforacutepainthroughdefaultprescriptionpreferencesettingsprepoststudy |