Literature DB >> 33145684

Prospective Investigation of Factors Associated with Prescription Opioid Dose Escalation among Patients in Integrated Health Systems.

Benjamin J Morasco1,2, Ning Smith3, Steven K Dobscha4,5, Richard A Deyo3,6,7,8,9, Stephanie Hyde4,5, Bobbi Jo Yarborough3.   

Abstract

BACKGROUND: Prior research has identified factors associated with prescription opioid initiation, but little is known about the prevalence or predictors of dose escalation among patients already prescribed long-term opioid therapy (LTOT).
OBJECTIVE: This was a 2-year prospective cohort study to examine patient and clinician factors associated with opioid dose escalation.
DESIGN: A prospective cohort study. Participants were seen at baseline and every 6 months for a total of 2 years. PARTICIPANTS: Patients prescribed a stable dose of LTOT for musculoskeletal pain were recruited from two integrated health systems (Kaiser Permanente and the Department of Veterans Affairs, respectively). MAIN MEASURES: The prescription opioid dose was based on pharmacy records and self-report. Administrative data were gathered on characteristics of the opioid-prescribing clinician and healthcare utilization. Participants completed measures of pain, functioning, and quality of life. KEY
RESULTS: Of enrolled participants (n = 517), 19.5% had an opioid dose increase. In multivariate analyses, patient variables associated with dose escalation were lower opioid dose (hazard ratio [HR] = 0.86, 95% confidence interval [CI] = 0.79-0.94, for every 10-mg increase in baseline dose) and greater pain catastrophizing (HR = 1.03, 95% CI = 1.01-1.05). Other variables associated with dose escalation were as follows: receiving medications from a nurse practitioner primary care provider (HR = 2.10, 95% CI = 1.12-3.96) or specialty physician (HR = 3.18, 95% CI = 1.22-8.34), relative to a physician primary care provider, and having undergone surgery within the past 6 months (HR = 1.80, 95% CI = 1.10-2.94). Other variables, including pain intensity, pain disability, or depression, were not associated with dose escalation.
CONCLUSIONS: In this 2-year prospective cohort study, variables associated with opioid dose escalation were lower opioid dose, higher pain catastrophizing, receiving opioids from a medical specialist (rather than primary care clinician) or nurse practitioner, and having recently undergone surgery. Study findings highlight intervention points that may be helpful for reducing the likelihood of future prescription opioid dose escalation.

Entities:  

Keywords:  chronic pain; cohort study; long-term opioid therapy; prescription opioid dose escalation

Mesh:

Substances:

Year:  2020        PMID: 33145684      PMCID: PMC7728960          DOI: 10.1007/s11606-020-06250-x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  51 in total

1.  Risk factors for clinically recognized opioid abuse and dependence among veterans using opioids for chronic non-cancer pain.

Authors:  Mark J Edlund; Diane Steffick; Teresa Hudson; Katherine M Harris; Mark Sullivan
Journal:  Pain       Date:  2007-04-20       Impact factor: 6.961

2.  Trends in use of opioids for chronic noncancer pain among individuals with mental health and substance use disorders: the TROUP study.

Authors:  Mark J Edlund; Bradley C Martin; Andrea Devries; Ming-Yu Fan; Jennifer Brennan Braden; Mark D Sullivan
Journal:  Clin J Pain       Date:  2010-01       Impact factor: 3.442

3.  The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

Authors:  K Bush; D R Kivlahan; M B McDonell; S D Fihn; K A Bradley
Journal:  Arch Intern Med       Date:  1998-09-14

Review 4.  Influence of catastrophizing on treatment outcome in patients with nonspecific low back pain: a systematic review.

Authors:  Maria M Wertli; Jakob M Burgstaller; Sherri Weiser; Johann Steurer; Reto Kofmehl; Ulrike Held
Journal:  Spine (Phila Pa 1976)       Date:  2014-02-01       Impact factor: 3.468

5.  Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015.

Authors:  Rose A Rudd; Puja Seth; Felicita David; Lawrence Scholl
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-12-30       Impact factor: 17.586

6.  Association between opioid prescribing patterns and opioid overdose-related deaths.

Authors:  Amy S B Bohnert; Marcia Valenstein; Matthew J Bair; Dara Ganoczy; John F McCarthy; Mark A Ilgen; Frederic C Blow
Journal:  JAMA       Date:  2011-04-06       Impact factor: 56.272

7.  Correlates of prescription opioid initiation and long-term opioid use in veterans with persistent pain.

Authors:  Steven K Dobscha; Benjamin J Morasco; Jonathan P Duckart; Tara Macey; Richard A Deyo
Journal:  Clin J Pain       Date:  2013-02       Impact factor: 3.442

8.  Correlates of higher-dose opioid medication use for low back pain in primary care.

Authors:  Amy M Kobus; David H Smith; Benjamin J Morasco; Eric S Johnson; Xiuhai Yang; Amanda F Petrik; Richard A Deyo
Journal:  J Pain       Date:  2012-11       Impact factor: 5.820

9.  Correlates of Use and Perceived Effectiveness of Non-pharmacologic Strategies for Chronic Pain Among Patients Prescribed Long-term Opioid Therapy.

Authors:  Crystal C Lozier; Shannon M Nugent; Ning X Smith; Bobbi Jo Yarborough; Steven K Dobscha; Richard A Deyo; Benjamin J Morasco
Journal:  J Gen Intern Med       Date:  2018-05       Impact factor: 5.128

10.  Trends and predictors of opioid use after total knee and total hip arthroplasty.

Authors:  Jenna Goesling; Stephanie E Moser; Bilal Zaidi; Afton L Hassett; Paul Hilliard; Brian Hallstrom; Daniel J Clauw; Chad M Brummett
Journal:  Pain       Date:  2016-06       Impact factor: 7.926

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  1 in total

1.  Mounting a Scientifically Informed Response to the Opioid Crisis in the Veterans Health Administration.

Authors:  William C Becker; Keith Humphreys; David Atkins; Carolyn M Clancy
Journal:  J Gen Intern Med       Date:  2020-12       Impact factor: 5.128

  1 in total

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