Evidence map›Paper›PMID 33485815›Full record

ArticleJournal of the American Pharmacists Association : JAPhA

Factors associated with opioid-tapering success: A mixed methods study.

Jennifer L Kuntz, John F Dickerson, Jennifer L Schneider, Alison J Firemark, Dea Papajorgji-Taylor, Matthew Slaughter, Katherine R Reese, Lou Ann Thorsness, Mark D Sullivan, Lynn L Debar and 1 more

Abstract read
In one paragraph

Article in Journal of the American Pharmacists Association : JAPhA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. Effects Among the Affected.Statistics in medicine · 2025
    Article
  7. Article
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  11. Review
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  15. Article
  16. Opioid tapering and mental health crisis in older adults.Pharmacoepidemiology and drug safety · 2024
    Article
  17. Article
  18. Article
  19. Process performance of a new liquid medication dispensing robot.European journal of hospital pharmacy : science and practice · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jennifer L Kuntz
John F Dickerson
Jennifer L Schneider
Alison J Firemark
Dea Papajorgji-Taylor
Matthew Slaughter
Katherine R Reese
Lou Ann Thorsness
Mark D Sullivan
Lynn L Debar
David H Smith

Funding

Facilitating Lower Opioid Amounts Through TaperingR01DA042124 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI SMITH, DAVID H · 2017 to 2019
$1.3M
NIDA NIH HHS R01 DA042124
6 · The paper itself

Abstract

objectiveOpioid tapering is recommended when risks of chronic opioid use outweigh benefits. Little is known about patient characteristics or factors related to tapering success. We sought to identify characteristics that predict a 50% reduction in opioid use and qualitatively characterize factors that impact tapering success.

methodsWe used multilevel hierarchical modeling to identify predictors of a 50% reduction in opioid use among Kaiser Permanente Northwest patients who underwent pharmacist-led tapering between 2012 and 2017. We conducted qualitative interviews among patients and pharmacists to identify factors influencing tapering success.

resultsWe identified 1384 patients who, on average, were dispensed 207 milligram morphine equivalents per day at baseline. After 12 months, 56% of patients reduced their opioid use by 50%. Increased odds of 50% reduction were associated with younger age 21-49 years (Odds ratio [OR] 1.32, P = 0.004); previous surgery (OR 2.24, P < 0.001); increased number of Addiction Medicine encounters (OR 1.25, P = 0.011); substance use disorder (OR 1.62, P = 0.001); anxiety (OR 1.32, P = 0.003); non-narcotic analgesic (OR 1.22, P = 0.025) or antipsychotic medication use (OR 1.53, P = 0.006); and opioid days supplied in the previous year (OR 1.08, P < 0.001). Patients and pharmacists noted that success was influenced by patients' willingness or resistance to change opioid use, the level of patient engagement achieved through communication with their provider, aspects of the tapering process such as pace, and external factors including health issues or caregiving responsibilities.

conclusionsOver one-half of patients who underwent tapering reduced their opioid use by 50%. Patient demographic and clinical characteristics were predictive of tapering success; however, patients and pharmacists noted that patient willingness, motivation, and personal circumstances also influence tapering outcome. Opioid tapering requires an individualized approach. Both clinical factors and personal circumstances should be considered when opioid tapering is being discussed as a possible solution for a patient.

Indexed as

Analgesics, OpioidOpioid-Related DisordersAdultCommunicationHumansMiddle AgedPatient ParticipationPharmacistsYoung AdultAnalgesics, Opioid

Identifiers

PMID33485815
PMCPMC8127339

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.