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Evaluation of a novel metric for personalized opioid prescribing after hospitalization
BACKGROUND: The duration of an opioid prescribed at hospital discharge does not intrinsically account for opioid needs during a hospitalization. This discrepancy may lead to patients receiving much larger supplies of opioids on discharge than they truly require. OBJECTIVE: Assess a novel discharge o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774844/ https://www.ncbi.nlm.nih.gov/pubmed/33382802 http://dx.doi.org/10.1371/journal.pone.0244735 |
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author | Iverson, Nicholas R. Lau, Catherine Y. Abe-Jones, Yumiko Fang, Margaret C. Kangelaris, Kirsten N. Prasad, Priya Shah, Sachin J. Najafi, Nader |
author_facet | Iverson, Nicholas R. Lau, Catherine Y. Abe-Jones, Yumiko Fang, Margaret C. Kangelaris, Kirsten N. Prasad, Priya Shah, Sachin J. Najafi, Nader |
author_sort | Iverson, Nicholas R. |
collection | PubMed |
description | BACKGROUND: The duration of an opioid prescribed at hospital discharge does not intrinsically account for opioid needs during a hospitalization. This discrepancy may lead to patients receiving much larger supplies of opioids on discharge than they truly require. OBJECTIVE: Assess a novel discharge opioid supply metric that adjusts for opioid use during hospitalization, compared to the conventional discharge prescription signature. DESIGN, SETTING, & PARTICIPANTS: Retrospective study using electronic health record data from June 2012 to November 2018 of adults who received opioids while hospitalized and after discharge from a single academic medical center. MEASURES & ANALYSIS: We ascertained inpatient opioids received and milligrams of opioids supplied after discharge, then determined days of opioids supplied after discharge by the conventional prescription signature opioid-days (“conventional days”) and novel hospital-adjusted opioid-days (“adjusted days”) metrics. We calculated descriptive statistics, within-subject difference between measurements, and fold difference between measures. We used multiple linear regression to determine patient-level predictors associated with high difference in days prescribed between measures. RESULTS: The adjusted days metric demonstrates a 2.4 day median increase in prescription duration as compared to the conventional days metric (9.4 vs. 7.0 days; P<0.001). 95% of all adjusted days measurements fall within a 0.19 to 6.90-fold difference as compared to conventional days measurements, with a maximum absolute difference of 640 days. Receiving a liquid opioid prescription accounted for an increased prescription duration of 135.6% by the adjusted days metric (95% CI 39.1–299.0%; P = 0.001). Of patients who were not on opioids prior to admission and required opioids during hospitalization but not in the last 24 hours, 325 (8.6%) were discharged with an opioid prescription. CONCLUSIONS: The adjusted days metric, based on inpatient opioid use, demonstrates that patients are often prescribed a supply lasting longer than the prescription signature suggests, though with marked variability for some patients that suggests potential under-prescribing as well. Adjusted days is more patient-centered, reflecting the reality of how patients will take their prescription rather than providers’ intended prescription duration. |
format | Online Article Text |
id | pubmed-7774844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77748442021-01-07 Evaluation of a novel metric for personalized opioid prescribing after hospitalization Iverson, Nicholas R. Lau, Catherine Y. Abe-Jones, Yumiko Fang, Margaret C. Kangelaris, Kirsten N. Prasad, Priya Shah, Sachin J. Najafi, Nader PLoS One Research Article BACKGROUND: The duration of an opioid prescribed at hospital discharge does not intrinsically account for opioid needs during a hospitalization. This discrepancy may lead to patients receiving much larger supplies of opioids on discharge than they truly require. OBJECTIVE: Assess a novel discharge opioid supply metric that adjusts for opioid use during hospitalization, compared to the conventional discharge prescription signature. DESIGN, SETTING, & PARTICIPANTS: Retrospective study using electronic health record data from June 2012 to November 2018 of adults who received opioids while hospitalized and after discharge from a single academic medical center. MEASURES & ANALYSIS: We ascertained inpatient opioids received and milligrams of opioids supplied after discharge, then determined days of opioids supplied after discharge by the conventional prescription signature opioid-days (“conventional days”) and novel hospital-adjusted opioid-days (“adjusted days”) metrics. We calculated descriptive statistics, within-subject difference between measurements, and fold difference between measures. We used multiple linear regression to determine patient-level predictors associated with high difference in days prescribed between measures. RESULTS: The adjusted days metric demonstrates a 2.4 day median increase in prescription duration as compared to the conventional days metric (9.4 vs. 7.0 days; P<0.001). 95% of all adjusted days measurements fall within a 0.19 to 6.90-fold difference as compared to conventional days measurements, with a maximum absolute difference of 640 days. Receiving a liquid opioid prescription accounted for an increased prescription duration of 135.6% by the adjusted days metric (95% CI 39.1–299.0%; P = 0.001). Of patients who were not on opioids prior to admission and required opioids during hospitalization but not in the last 24 hours, 325 (8.6%) were discharged with an opioid prescription. CONCLUSIONS: The adjusted days metric, based on inpatient opioid use, demonstrates that patients are often prescribed a supply lasting longer than the prescription signature suggests, though with marked variability for some patients that suggests potential under-prescribing as well. Adjusted days is more patient-centered, reflecting the reality of how patients will take their prescription rather than providers’ intended prescription duration. Public Library of Science 2020-12-31 /pmc/articles/PMC7774844/ /pubmed/33382802 http://dx.doi.org/10.1371/journal.pone.0244735 Text en © 2020 Iverson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Iverson, Nicholas R. Lau, Catherine Y. Abe-Jones, Yumiko Fang, Margaret C. Kangelaris, Kirsten N. Prasad, Priya Shah, Sachin J. Najafi, Nader Evaluation of a novel metric for personalized opioid prescribing after hospitalization |
title | Evaluation of a novel metric for personalized opioid prescribing after hospitalization |
title_full | Evaluation of a novel metric for personalized opioid prescribing after hospitalization |
title_fullStr | Evaluation of a novel metric for personalized opioid prescribing after hospitalization |
title_full_unstemmed | Evaluation of a novel metric for personalized opioid prescribing after hospitalization |
title_short | Evaluation of a novel metric for personalized opioid prescribing after hospitalization |
title_sort | evaluation of a novel metric for personalized opioid prescribing after hospitalization |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774844/ https://www.ncbi.nlm.nih.gov/pubmed/33382802 http://dx.doi.org/10.1371/journal.pone.0244735 |
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