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Determinants of long-term opioid use in hospitalized patients
BACKGROUND: Long-term opioid use is an increasingly important problem related to the ongoing opioid epidemic. The purpose of this study was to identify patient, hospitalization and system-level determinants of long term opioid therapy (LTOT) among patients recently discharged from hospital. DESIGN:...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754198/ https://www.ncbi.nlm.nih.gov/pubmed/36520865 http://dx.doi.org/10.1371/journal.pone.0278992 |
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author | Kurteva, Siyana Abrahamowicz, Michal Weir, Daniala Gomes, Tara Tamblyn, Robyn |
author_facet | Kurteva, Siyana Abrahamowicz, Michal Weir, Daniala Gomes, Tara Tamblyn, Robyn |
author_sort | Kurteva, Siyana |
collection | PubMed |
description | BACKGROUND: Long-term opioid use is an increasingly important problem related to the ongoing opioid epidemic. The purpose of this study was to identify patient, hospitalization and system-level determinants of long term opioid therapy (LTOT) among patients recently discharged from hospital. DESIGN: To be eligible for this study, patient needed to have filled at least one opioid prescription three-months post-discharge. We retrieved data from the provincial health insurance agency to measure medical service and prescription drug use in the year prior to and after hospitalization. A multivariable Cox Proportional Hazards model was utilized to determine factors associated with time to the first LTOT occurrence, defined as time-varying cumulative opioid duration of ≥ 60 days. RESULTS: Overall, 22.4% of the 1,551 study patients were classified as LTOT, who had a mean age of 66.3 years (SD = 14.3). Having no drug copay status (adjusted hazard ratio (aHR) 1.91, 95% CI: 1.40–2.60), being a LTOT user before the index hospitalization (aHR 6.05, 95% CI: 4.22–8.68) or having history of benzodiazepine use (aHR 1.43, 95% CI: 1.12–1.83) were all associated with an increased likelihood of LTOT. Cardiothoracic surgical patients had a 40% lower LTOT risk (aHR 0.55, 95% CI: 0.31–0.96) as compared to medical patients. Initial opioid dispensation of > 90 milligram morphine equivalents (MME) was also associated with higher likelihood of LTOT (aHR 2.08, 95% CI: 1.17–3.69). CONCLUSIONS AND RELEVANCE: Several patient-level characteristics associated with an increased risk of ≥ 60 days of cumulative opioid use. The results could be used to help identify patients who are at high-risk of continuing opioids beyond guideline recommendations and inform policies to curb excessive opioid prescribing. |
format | Online Article Text |
id | pubmed-9754198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97541982022-12-16 Determinants of long-term opioid use in hospitalized patients Kurteva, Siyana Abrahamowicz, Michal Weir, Daniala Gomes, Tara Tamblyn, Robyn PLoS One Research Article BACKGROUND: Long-term opioid use is an increasingly important problem related to the ongoing opioid epidemic. The purpose of this study was to identify patient, hospitalization and system-level determinants of long term opioid therapy (LTOT) among patients recently discharged from hospital. DESIGN: To be eligible for this study, patient needed to have filled at least one opioid prescription three-months post-discharge. We retrieved data from the provincial health insurance agency to measure medical service and prescription drug use in the year prior to and after hospitalization. A multivariable Cox Proportional Hazards model was utilized to determine factors associated with time to the first LTOT occurrence, defined as time-varying cumulative opioid duration of ≥ 60 days. RESULTS: Overall, 22.4% of the 1,551 study patients were classified as LTOT, who had a mean age of 66.3 years (SD = 14.3). Having no drug copay status (adjusted hazard ratio (aHR) 1.91, 95% CI: 1.40–2.60), being a LTOT user before the index hospitalization (aHR 6.05, 95% CI: 4.22–8.68) or having history of benzodiazepine use (aHR 1.43, 95% CI: 1.12–1.83) were all associated with an increased likelihood of LTOT. Cardiothoracic surgical patients had a 40% lower LTOT risk (aHR 0.55, 95% CI: 0.31–0.96) as compared to medical patients. Initial opioid dispensation of > 90 milligram morphine equivalents (MME) was also associated with higher likelihood of LTOT (aHR 2.08, 95% CI: 1.17–3.69). CONCLUSIONS AND RELEVANCE: Several patient-level characteristics associated with an increased risk of ≥ 60 days of cumulative opioid use. The results could be used to help identify patients who are at high-risk of continuing opioids beyond guideline recommendations and inform policies to curb excessive opioid prescribing. Public Library of Science 2022-12-15 /pmc/articles/PMC9754198/ /pubmed/36520865 http://dx.doi.org/10.1371/journal.pone.0278992 Text en © 2022 Kurteva et al 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 author and source are credited. |
spellingShingle | Research Article Kurteva, Siyana Abrahamowicz, Michal Weir, Daniala Gomes, Tara Tamblyn, Robyn Determinants of long-term opioid use in hospitalized patients |
title | Determinants of long-term opioid use in hospitalized patients |
title_full | Determinants of long-term opioid use in hospitalized patients |
title_fullStr | Determinants of long-term opioid use in hospitalized patients |
title_full_unstemmed | Determinants of long-term opioid use in hospitalized patients |
title_short | Determinants of long-term opioid use in hospitalized patients |
title_sort | determinants of long-term opioid use in hospitalized patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754198/ https://www.ncbi.nlm.nih.gov/pubmed/36520865 http://dx.doi.org/10.1371/journal.pone.0278992 |
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