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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...

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Autores principales: Iverson, Nicholas R., Lau, Catherine Y., Abe-Jones, Yumiko, Fang, Margaret C., Kangelaris, Kirsten N., Prasad, Priya, Shah, Sachin J., Najafi, Nader
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
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.
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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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