Incidence and Risk Factors for Progression From Short-term to Episodic or Long-term Opioid Prescribing: A Population-Based Study

Mayo Clin Proc. 2015 Jul;90(7):850-6. doi: 10.1016/j.mayocp.2015.04.012.

Abstract

Objectives: To determine what proportion of a geographically defined population who receive new opioid prescriptions progresses to episodic or long-term patterns of opioid prescribing and to explore the clinical characteristics associated with patterns of opioid prescribing.

Patients and methods: Population-based drug prescription records for the population of Olmsted County between January 1 and December 31, 2009, were obtained using the Rochester Epidemiology Project medical records linkage system (N=142,377). All medical records were reviewed for a random sample of 293 patients who had a new ("incident") prescription for an opioid analgesic in 2009. Patients were followed through their medical records for 1 year after their initial prescription date, with patterns of opioid prescribing categorized as short-term, episodic, or long-term.

Results: Overall, 293 patients received 515 new opioid prescriptions in 2009. Of these, 61 (21%) progressed to an episodic prescribing pattern and 19 (6%) progressed to a long-term prescribing pattern. In multivariable logistic regression analyses, substance abuse was significantly associated (P<.001) with a long-term opioid prescribing pattern as compared with an short-term opioid prescribing pattern. Past or current nicotine use (P=.03) and substance abuse (P=.04) were significantly associated with an episodic or long-term prescribing pattern as compared with a short-term prescribing pattern.

Conclusion: Knowledge of the clinical characteristics associated with the progression of a short-term to an episodic or long-term opioid prescribing pattern could aid in the identification of at-risk patients and provide the basis for developing targeted clinical interventions.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Analgesics, Opioid / therapeutic use*
  • Child
  • Child, Preschool
  • Drug Prescriptions / statistics & numerical data*
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Infant
  • Infant, Newborn
  • Male
  • Middle Aged
  • Minnesota / epidemiology
  • Population Surveillance*
  • Practice Patterns, Physicians'*
  • Retrospective Studies
  • Risk Factors
  • Substance-Related Disorders / epidemiology*
  • Time Factors
  • Young Adult

Substances

  • Analgesics, Opioid