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Identifying opioid dose reductions and discontinuation among patients with chronic opioid therapy

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Pharmacoepidemiol Drug Saf
  • Personal Author:
  • Description:
    Purpose:

    To identify and systematically categorize opioid dose reductions and discontinuations in large administrative datasets.

    Methods:

    Using a dataset of Oregon Medicaid beneficiaries linked with prescription drug monitoring program (PDMP) data between 2014 and 2017, we identified patients with high-dose chronic opioid therapy (COT), ≥84 consecutive days with an average daily MME of ≥50 on each of those days. We categorized patients into four mutually exclusive groups based on the trajectory of opioid use in the year after COT: abrupt discontinuation, dose reduction and discontinuation, dose reduction without discontinuation, and stable or increasing dose. Finally, we examined prescription patterns in each category.

    Results:

    Among individuals with high-dose COT, 7636 (37.1%) had an abrupt discontinuation, 2577 (12.5%) had a dose reduction and discontinuation, 7739 (37.6%) had a dose reduction without discontinuation, and 2623 (12.8%) had a stable or increasing dose in the year following the COT episode. Among those who discontinued opioid use (n = 10 213, 49.6%), three in four (74.8%) did so without evidence of tapering. Patients who discontinued opioid use were younger, had higher daily MME during COT, and were more likely to have filled a benzodiazepine or had a multiple provider or multiple pharmacy episode compared to patients who did not discontinue opioid use.

    Conclusions:

    Dose reductions and discontinuations after a COT episode can be identified in large administrative datasets. Those with a discontinuation were more likely to have riskier prescription profiles during their COT episode.

  • Subjects:
  • Source:
    Pharmacoepidemiol Drug Saf. 30(3):395-399
  • Pubmed ID:
    32844498
  • Pubmed Central ID:
    PMC8213356
  • Document Type:
  • Funding:
  • Volume:
    30
  • Issue:
    3
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:e046d2fc256a44c15c1186c8752d5d747338b3d568202336ff997511a6c04110
  • Download URL:
  • File Type:
    Filetype[PDF - 199.81 KB ]
File Language:
English
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