Trends and Rapidity of Dose Tapering Among Patients Prescribed Long-term Opioid Therapy, 2008-2017.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 11 2019
Historique:
entrez: 16 11 2019
pubmed: 16 11 2019
medline: 17 6 2020
Statut: epublish

Résumé

A 2016 Centers for Disease Control and Prevention prescribing guideline cautioned against higher-dose long-term opioid therapy and recommended tapering daily opioid doses by approximately 10% per week if the risks outweigh the benefits. Warnings have since appeared regarding potential hazards of rapid opioid tapering. To characterize US trends in opioid dose tapering among patients prescribed long-term opioids from 2008 to 2017 and identify patient-level variables associated with tapering and a more rapid rate of tapering. This retrospective cohort study used deidentified medical and pharmacy claims and enrollment records for 100 031 commercial insurance and Medicare Advantage enrollees, representing a diverse mixture of ages, races/ethnicities, and geographical regions across the United States. Adults with stable, higher-dosage (mean, ≥50 morphine milligram equivalents [MMEs]/d) opioid prescriptions for a 12-month baseline period and 2 or more months of follow-up from January 1, 2008, to December 31, 2017, were included in the study. Tapering was defined as 15% or more relative reduction in mean daily MME during any of 6 overlapping 60-day windows within a 7-month follow-up period. The rate of tapering was computed as the maximum monthly percentage dose reduction. Among the 100 031 participants (53 452 [53.4%] women; mean [SD] age, 57.6 [11.8] years), from 2008 to 2015, the age- and sex-standardized percentage of patients tapering daily opioid doses increased from 10.5% to 13.7% (adjusted incidence rate ratio [aIRR] per year, 1.05 [95% CI, 1.05-1.06]) before increasing to 16.2% in 2016 and 22.4% in 2017 (aIRR in 2016-2017 vs 2008-2015, 1.20 [95% CI, 1.16-1.25]). Patient-level covariates associated with tapering included female sex (aIRR, 1.13 [95% CI, 1.10-1.15]) and higher baseline dose (aIRR for ≥300 MMEs/d vs 50-89 MMEs/d, 2.57 [95% CI, 2.48-2.65]). Among patients tapering daily opioid doses, the mean (SD) maximum dose reduction was 27.6% (17.0%) per month, and 18.8% of patients had a maximum tapering rate exceeding 40% per month (ie, faster than 10% per week). More rapid dose reduction was associated with 2016-2017 vs 2008-2015 (adjusted difference, 1.4% [95% CI, 0.8%-2.1%]) and higher baseline dose (adjusted difference, 2.7% [95% CI, 2.2%-3.3%] for 90-149 vs 50-89 MMEs/d). Patients using long-term opioid therapy are increasingly undergoing dose tapering, particularly women and those prescribed higher doses; in addition, dose tapering has become more common since 2016. Many patients undergoing tapering reduce daily doses at a rapid maximum rate.

Identifiants

pubmed: 31730189
pii: 2755492
doi: 10.1001/jamanetworkopen.2019.16271
pmc: PMC6902834
doi:

Substances chimiques

Analgesics, Opioid 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1916271

Subventions

Organisme : NICHD NIH HHS
ID : K12 HD051958
Pays : United States

Commentaires et corrections

Type : ErratumIn

Références

BMJ. 2018 Aug 1;362:k2833
pubmed: 30068513
N Engl J Med. 2019 Jun 13;380(24):2285-2287
pubmed: 31018066
Pain Med. 2019 Aug 1;20(8):1519-1527
pubmed: 30032197
Pain Med. 2019 Apr 1;20(4):724-735
pubmed: 30690556
Med Care. 2017 Jul;55(7):661-668
pubmed: 28614178
Drug Alcohol Depend. 2009 Sep 1;104(1-2):34-42
pubmed: 19473786
JAMA. 2008 Dec 10;300(22):2613-20
pubmed: 19066381
Addict Behav. 2010 Nov;35(11):1001-7
pubmed: 20598809
Med Care. 2005 Nov;43(11):1130-9
pubmed: 16224307
Psychol Addict Behav. 2001 Jun;15(2):140-51
pubmed: 11419230
JAMA. 2008 Jan 2;299(1):70-8
pubmed: 18167408
PLoS One. 2016 Aug 08;11(8):e0159224
pubmed: 27501459
JAMA. 2016 Apr 19;315(15):1624-45
pubmed: 26977696
Pain Med. 2019 Mar 1;20(3):429-433
pubmed: 30496540
Drug Alcohol Depend. 2018 Nov 1;192:371-376
pubmed: 30122319
J Pain. 2017 Mar;18(3):308-318
pubmed: 27908840
Ann Intern Med. 2016 Jan 5;164(1):1-9
pubmed: 26720742
Clin J Pain. 2013 Feb;29(2):109-17
pubmed: 22751033
JAMA. 2011 Apr 6;305(13):1315-21
pubmed: 21467284
Mayo Clin Proc. 2015 Jun;90(6):828-42
pubmed: 26046416
Acad Emerg Med. 2014 Dec;21(12):1447-52
pubmed: 25421993
JAMA. 2017 Aug 22;318(8):750-752
pubmed: 28829862
BMJ. 2015 Jun 10;350:h2698
pubmed: 26063215
BMJ. 2017 Mar 14;356:j760
pubmed: 28292769
J Addict Med. 2015 Jan-Feb;9(1):46-52
pubmed: 25325300
Ann Intern Med. 2015 Feb 17;162(4):295-300
pubmed: 25581341
J Manag Care Spec Pharm. 2016 Nov;22(11):1224-1246
pubmed: 27783551
Pain. 2013 Jan;154(1):46-52
pubmed: 23273103
Ann Intern Med. 2018 Sep 18;169(6):367-375
pubmed: 30167651
Clin J Pain. 2009 Jul-Aug;25(6):477-84
pubmed: 19542794

Auteurs

Joshua J Fenton (JJ)

Department of Family and Community Medicine, University of California, Davis, Sacramento.
Center for Healthcare Policy and Research, University of California, Davis, Sacramento.

Alicia L Agnoli (AL)

Department of Family and Community Medicine, University of California, Davis, Sacramento.
Center for Healthcare Policy and Research, University of California, Davis, Sacramento.

Guibo Xing (G)

Center for Healthcare Policy and Research, University of California, Davis, Sacramento.

Lillian Hang (L)

OptumLabs, Cambridge, Massachusetts.

Aylin E Altan (AE)

OptumLabs, Cambridge, Massachusetts.

Daniel J Tancredi (DJ)

Center for Healthcare Policy and Research, University of California, Davis, Sacramento.
Department of Pediatrics, University of California, Davis, Sacramento.

Anthony Jerant (A)

Department of Family and Community Medicine, University of California, Davis, Sacramento.
Center for Healthcare Policy and Research, University of California, Davis, Sacramento.

Elizabeth Magnan (E)

Department of Family and Community Medicine, University of California, Davis, Sacramento.
Center for Healthcare Policy and Research, University of California, Davis, Sacramento.

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