Literature DB >> 27428547

A Prospective Study of Predictors of Long-term Opioid Use Among Patients With Chronic Noncancer Pain.

Stephen M Thielke1, Susan M Shortreed, Kathleen Saunders, Judith A Turner, Linda LeResche, Michael Von Korff.   

Abstract

BACKGROUND: Chronic pain patients at increased risk of unfavorable pain and opioid misuse outcomes may be those most likely to use opioids long-term, but this has not been evaluated prospectively.
OBJECTIVES: To ascertain whether pain prognostic risk, problem opioid use risk, and depression predict opioid use 1 year later among patients recently initiating opioid therapy with a moderate likelihood of long-term opioid use.
MATERIALS AND METHODS: Self-report and electronic health record data were collected from patients aged 45+ years who recently initiated opioid therapy (N=762), in an integrated health care system. Logistic regression models tested whether baseline patient chronic pain prognostic risk, problem opioid use risk, depression, and expectations concerning continued opioid use independently predicted continuing use at 1 year (≥30 d supply in the prior 4 mo).
RESULTS: At 1 year, 46% of participants continued to use opioids. Baseline problem opioid use risk score (adjusted odds ratio, 1.15; 95% confidence interval, 1.04-1.26) and expectations about continuing opioid use, but not pain prognostic risk score or depression, were significant predictors of 1-year opioid use. Compared with patients who thought continued opioid use unlikely, those who thought it was extremely or very likely had 4 times the odds of opioid use at 1 year (adjusted odds ratio, 4.05; 95% confidence interval, 2.59-6.31). DISCUSSION: The strongest predictors of long-term opioid use were not patient-related or medication-related factors, but expectations about using opioids in the future. Asking about such expectations may be the easiest way to identify patients likely to continue opioid use long-term.

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Year:  2017        PMID: 27428547     DOI: 10.1097/AJP.0000000000000409

Source DB:  PubMed          Journal:  Clin J Pain        ISSN: 0749-8047            Impact factor:   3.442


  11 in total

1.  Prediction of Future Chronic Opioid Use Among Hospitalized Patients.

Authors:  S L Calcaterra; S Scarbro; M L Hull; A D Forber; I A Binswanger; K L Colborn
Journal:  J Gen Intern Med       Date:  2018-02-05       Impact factor: 5.128

Review 2.  Medication Overuse in Chronic Pain.

Authors:  Eric S Hsu
Journal:  Curr Pain Headache Rep       Date:  2017-01

3.  Predictors of persistent prescription opioid analgesic use among people without cancer in Australia.

Authors:  Samanta Lalic; Natasa Gisev; J Simon Bell; Maarit Jaana Korhonen; Jenni Ilomäki
Journal:  Br J Clin Pharmacol       Date:  2018-04-02       Impact factor: 4.335

4.  Risk factors associated with persistent chronic opioid use following THA.

Authors:  Afshin A Anoushiravani; Kelvin Y Kim; Mackenzie Roof; Kevin Chen; Casey M O'Connor; Jonathan Vigdorchik; Ran Schwarzkopf
Journal:  Eur J Orthop Surg Traumatol       Date:  2020-01-02

5.  Using Prescription Drug Monitoring Program Data to Assess Likelihood of Incident Long-Term Opioid Use: a Statewide Cohort Study.

Authors:  Stephen G Henry; Susan L Stewart; Eryn Murphy; Iraklis Erik Tseregounis; Andrew J Crawford; Aaron B Shev; James J Gasper; Daniel J Tancredi; Magdalena Cerdá; Brandon D L Marshall; Garen J Wintemute
Journal:  J Gen Intern Med       Date:  2021-03-19       Impact factor: 5.128

6.  Increased Healthcare Utilization and Expenditures Associated With Chronic Opioid Therapy.

Authors:  Douglas Thornton; Nilanjana Dwibedi; Virginia Scott; Charles D Ponte; X I Tan; Douglas Ziedonis; Usha Sambamoorthi
Journal:  Am J Accountable Care       Date:  2018-12-05

7.  Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study.

Authors:  GYeon Oh; Erin L Abner; David W Fardo; Patricia R Freeman; Daniela C Moga
Journal:  PLoS One       Date:  2019-01-11       Impact factor: 3.240

8.  Utility of accumulated opioid supply days and individual patient factors in predicting probability of transitioning to long-term opioid use: An observational study in the Veterans Health Administration.

Authors:  Katherine Hadlandsmyth; Hilary J Mosher; Mark W Vander Weg; Amy M O'Shea; Kimberly D McCoy; Brian C Lund
Journal:  Pharmacol Res Perspect       Date:  2020-04

9.  Identifying Predictive Characteristics of Opioid Medication Use among a Nationally Representative Sample of United States Older Adults with Pain and Comorbid Hypertension or Hypercholesterolemia.

Authors:  David R Axon; Shannon Vaffis; Srujitha Marupuru
Journal:  Healthcare (Basel)       Date:  2020-09-15

10.  Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.

Authors:  J Douglas Thornton; Nilanjana Dwibedi; Virginia Scott; Charles D Ponte; Douglas Ziedonis; Nethra Sambamoorthi; Usha Sambamoorthi
Journal:  Am Health Drug Benefits       Date:  2018-02
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