Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020
To identify common opioid tapering trajectories among patients commencing opioid taper from long-term opioid therapy for chronic non-cancer pain and to examine patient-level characteristics associated with these different trajectories. A retrospective cohort study. Australian primary care. Patients...
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Veröffentlicht in: | Pain medicine (Malden, Mass.) Mass.), 2024-04, Vol.25 (4), p.263-274 |
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creator | Jung, Monica Xia, Ting Ilomäki, Jenni Pearce, Christopher Nielsen, Suzanne |
description | To identify common opioid tapering trajectories among patients commencing opioid taper from long-term opioid therapy for chronic non-cancer pain and to examine patient-level characteristics associated with these different trajectories.
A retrospective cohort study.
Australian primary care.
Patients prescribed opioid analgesics between 2015 and 2020.
Group-based trajectory modeling and multinomial logistic regression analysis were conducted to determine tapering trajectories and to examine demographic and clinical factors associated with the different trajectories.
A total of 3369 patients commenced a taper from long-term opioid therapy. Six distinct opioid tapering trajectories were identified: low dose / completed taper (12.9%), medium dose / faster taper (12.2%), medium dose / gradual taper (6.5%), low dose / noncompleted taper (21.3%), medium dose / noncompleted taper (30.4%), and high dose / noncompleted taper (16.7%). A completed tapering trajectory from a high opioid dose was not identified. Among patients prescribed medium opioid doses, those who completed their taper were more likely to have higher geographically derived socioeconomic status (relative risk ratio [RRR], 1.067; 95% confidence interval [CI], 1.001-1.137) and less likely to have sleep disorders (RRR, 0.661; 95% CI, 0.463-0.945) than were those who didn't complete their taper. Patients who didn't complete their taper were more likely to be prescribed strong opioids (eg, morphine, oxycodone), regardless of whether they were tapered from low (RRR, 1.444; 95% CI, 1.138-1.831) or high (RRR, 1.344; 95% CI, 1.027-1.760) doses.
Those prescribed strong opioids and high doses appear to be less likely to complete tapering. Further studies are needed to evaluate the clinical outcomes associated with the identified trajectories. |
doi_str_mv | 10.1093/pm/pnae002 |
format | Article |
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A retrospective cohort study.
Australian primary care.
Patients prescribed opioid analgesics between 2015 and 2020.
Group-based trajectory modeling and multinomial logistic regression analysis were conducted to determine tapering trajectories and to examine demographic and clinical factors associated with the different trajectories.
A total of 3369 patients commenced a taper from long-term opioid therapy. Six distinct opioid tapering trajectories were identified: low dose / completed taper (12.9%), medium dose / faster taper (12.2%), medium dose / gradual taper (6.5%), low dose / noncompleted taper (21.3%), medium dose / noncompleted taper (30.4%), and high dose / noncompleted taper (16.7%). A completed tapering trajectory from a high opioid dose was not identified. Among patients prescribed medium opioid doses, those who completed their taper were more likely to have higher geographically derived socioeconomic status (relative risk ratio [RRR], 1.067; 95% confidence interval [CI], 1.001-1.137) and less likely to have sleep disorders (RRR, 0.661; 95% CI, 0.463-0.945) than were those who didn't complete their taper. Patients who didn't complete their taper were more likely to be prescribed strong opioids (eg, morphine, oxycodone), regardless of whether they were tapered from low (RRR, 1.444; 95% CI, 1.138-1.831) or high (RRR, 1.344; 95% CI, 1.027-1.760) doses.
Those prescribed strong opioids and high doses appear to be less likely to complete tapering. Further studies are needed to evaluate the clinical outcomes associated with the identified trajectories.</description><identifier>ISSN: 1526-2375</identifier><identifier>EISSN: 1526-4637</identifier><identifier>DOI: 10.1093/pm/pnae002</identifier><identifier>PMID: 38191211</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Analgesics, Opioid - therapeutic use ; Australia - epidemiology ; Chronic Pain - chemically induced ; Chronic Pain - drug therapy ; Co-Morbid Pain & Substance Use Disorders Section ; Humans ; Prescriptions ; Retrospective Studies</subject><ispartof>Pain medicine (Malden, Mass.), 2024-04, Vol.25 (4), p.263-274</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the American Academy of Pain Medicine.</rights><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c338t-583a27c3aae779dd628fbb2e66ed292b174664ed085a6fd43fb450be79edb2ab3</cites><orcidid>0000-0001-6458-1279 ; 0000-0002-0348-9441</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38191211$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jung, Monica</creatorcontrib><creatorcontrib>Xia, Ting</creatorcontrib><creatorcontrib>Ilomäki, Jenni</creatorcontrib><creatorcontrib>Pearce, Christopher</creatorcontrib><creatorcontrib>Nielsen, Suzanne</creatorcontrib><title>Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020</title><title>Pain medicine (Malden, Mass.)</title><addtitle>Pain Med</addtitle><description>To identify common opioid tapering trajectories among patients commencing opioid taper from long-term opioid therapy for chronic non-cancer pain and to examine patient-level characteristics associated with these different trajectories.
A retrospective cohort study.
Australian primary care.
Patients prescribed opioid analgesics between 2015 and 2020.
Group-based trajectory modeling and multinomial logistic regression analysis were conducted to determine tapering trajectories and to examine demographic and clinical factors associated with the different trajectories.
A total of 3369 patients commenced a taper from long-term opioid therapy. Six distinct opioid tapering trajectories were identified: low dose / completed taper (12.9%), medium dose / faster taper (12.2%), medium dose / gradual taper (6.5%), low dose / noncompleted taper (21.3%), medium dose / noncompleted taper (30.4%), and high dose / noncompleted taper (16.7%). A completed tapering trajectory from a high opioid dose was not identified. Among patients prescribed medium opioid doses, those who completed their taper were more likely to have higher geographically derived socioeconomic status (relative risk ratio [RRR], 1.067; 95% confidence interval [CI], 1.001-1.137) and less likely to have sleep disorders (RRR, 0.661; 95% CI, 0.463-0.945) than were those who didn't complete their taper. Patients who didn't complete their taper were more likely to be prescribed strong opioids (eg, morphine, oxycodone), regardless of whether they were tapered from low (RRR, 1.444; 95% CI, 1.138-1.831) or high (RRR, 1.344; 95% CI, 1.027-1.760) doses.
Those prescribed strong opioids and high doses appear to be less likely to complete tapering. Further studies are needed to evaluate the clinical outcomes associated with the identified trajectories.</description><subject>Analgesics, Opioid - therapeutic use</subject><subject>Australia - epidemiology</subject><subject>Chronic Pain - chemically induced</subject><subject>Chronic Pain - drug therapy</subject><subject>Co-Morbid Pain & Substance Use Disorders Section</subject><subject>Humans</subject><subject>Prescriptions</subject><subject>Retrospective Studies</subject><issn>1526-2375</issn><issn>1526-4637</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkU1PHSEUholpo9Z20x_QsGyMU_mYAcaNMcZWExM3uiYMnPFi7gAC18ZNf7sYb027OiTnyQO8L0JfKflByciP03KcggFC2A7apwMTXS-4_LA9My6HPfSplAdCqOgV30V7XNGRMkr30Z_bbB7A1pg9FBxnnDIUm32qPgYck4_e4WoSZB_usQ84meoh1IJ_-7rCdpVj8BaHGDprgoXcAB9OsMEZao4lNbd_AmzjKuaKS9245yPMCB06Rhj5jD7OZl3gy3YeoLufF7fnl931za-r87PrznKuajcobpi03BiQcnROMDVPEwMhwLGRTVT2QvTgiBqMmF3P56kfyARyBDcxM_EDdPrmTZtpAWfbD7JZ65T9YvKzjsbr_zfBr_R9fNItYKWYks3wfWvI8XEDperFFwvrtQkQN0WzFmiLm8lX9PANtS2AkmF-v4eSVyHXadHbxhr87d-XvaN_K-Iv94GViQ</recordid><startdate>20240403</startdate><enddate>20240403</enddate><creator>Jung, Monica</creator><creator>Xia, Ting</creator><creator>Ilomäki, Jenni</creator><creator>Pearce, Christopher</creator><creator>Nielsen, Suzanne</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6458-1279</orcidid><orcidid>https://orcid.org/0000-0002-0348-9441</orcidid></search><sort><creationdate>20240403</creationdate><title>Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020</title><author>Jung, Monica ; Xia, Ting ; Ilomäki, Jenni ; Pearce, Christopher ; Nielsen, Suzanne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-583a27c3aae779dd628fbb2e66ed292b174664ed085a6fd43fb450be79edb2ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analgesics, Opioid - therapeutic use</topic><topic>Australia - epidemiology</topic><topic>Chronic Pain - chemically induced</topic><topic>Chronic Pain - drug therapy</topic><topic>Co-Morbid Pain & Substance Use Disorders Section</topic><topic>Humans</topic><topic>Prescriptions</topic><topic>Retrospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jung, Monica</creatorcontrib><creatorcontrib>Xia, Ting</creatorcontrib><creatorcontrib>Ilomäki, Jenni</creatorcontrib><creatorcontrib>Pearce, Christopher</creatorcontrib><creatorcontrib>Nielsen, Suzanne</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pain medicine (Malden, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jung, Monica</au><au>Xia, Ting</au><au>Ilomäki, Jenni</au><au>Pearce, Christopher</au><au>Nielsen, Suzanne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020</atitle><jtitle>Pain medicine (Malden, Mass.)</jtitle><addtitle>Pain Med</addtitle><date>2024-04-03</date><risdate>2024</risdate><volume>25</volume><issue>4</issue><spage>263</spage><epage>274</epage><pages>263-274</pages><issn>1526-2375</issn><eissn>1526-4637</eissn><abstract>To identify common opioid tapering trajectories among patients commencing opioid taper from long-term opioid therapy for chronic non-cancer pain and to examine patient-level characteristics associated with these different trajectories.
A retrospective cohort study.
Australian primary care.
Patients prescribed opioid analgesics between 2015 and 2020.
Group-based trajectory modeling and multinomial logistic regression analysis were conducted to determine tapering trajectories and to examine demographic and clinical factors associated with the different trajectories.
A total of 3369 patients commenced a taper from long-term opioid therapy. Six distinct opioid tapering trajectories were identified: low dose / completed taper (12.9%), medium dose / faster taper (12.2%), medium dose / gradual taper (6.5%), low dose / noncompleted taper (21.3%), medium dose / noncompleted taper (30.4%), and high dose / noncompleted taper (16.7%). A completed tapering trajectory from a high opioid dose was not identified. Among patients prescribed medium opioid doses, those who completed their taper were more likely to have higher geographically derived socioeconomic status (relative risk ratio [RRR], 1.067; 95% confidence interval [CI], 1.001-1.137) and less likely to have sleep disorders (RRR, 0.661; 95% CI, 0.463-0.945) than were those who didn't complete their taper. Patients who didn't complete their taper were more likely to be prescribed strong opioids (eg, morphine, oxycodone), regardless of whether they were tapered from low (RRR, 1.444; 95% CI, 1.138-1.831) or high (RRR, 1.344; 95% CI, 1.027-1.760) doses.
Those prescribed strong opioids and high doses appear to be less likely to complete tapering. Further studies are needed to evaluate the clinical outcomes associated with the identified trajectories.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>38191211</pmid><doi>10.1093/pm/pnae002</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6458-1279</orcidid><orcidid>https://orcid.org/0000-0002-0348-9441</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analgesics, Opioid - therapeutic use Australia - epidemiology Chronic Pain - chemically induced Chronic Pain - drug therapy Co-Morbid Pain & Substance Use Disorders Section Humans Prescriptions Retrospective Studies |
title | Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020 |
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