ArticleJournal of general internal medicine2022
Engagement in Prescription Opioid Tapering Research: the EMPOWER Study and a Coproduction Model of Success.
Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Interventions to safely and effectively reduce (taper) use of opioids in chronic non-cancer pain: a systematic review.Health technology assessment (Winchester, England) · 2026Pooled it
- Trial
- Opioid deprescribing: rethinking policies to facilitate better patient outcomes.Pain management · 2025Review
- Psychological treatments for comorbid chronic pain and opioid use disorder: Current research and future directions.Current opinion in psychology · 2025Review
- Prescription opioid tapering practices and outcomes at a rural VA health care system.Pain medicine (Malden, Mass.) · 2024Article
- A digital health intervention to support patients with chronic pain during prescription opioid tapering: a pilot randomised controlled trial.Pain reports · 2024Article
- Evaluating the Effectiveness of a Self-Management Program on Patients Living with Chronic Diseases.Risk management and healthcare policy · 2024Article
- Patient and Veteran Engagement in Health Research: the Emergence of a Field of Study.Journal of general internal medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 10 institutions in 3 countries.
Funding
Abstract
Patients with chronic pain experience stigma within the healthcare system. This stigma is compounded for those taking long-term prescription opioids. Often, public messaging and organizational policies have telegraphed that opioid treatment is a problem to be solved by focusing only on medication reduction efforts. Lack of data has contributed to misperceptions and poor opioid policies. In part, data collection remains poor because patients feel fractured from systems of care and are often not interested in engaging with opioid reduction mandates and research. Similarly, clinicians may fail to engage with opioid stewardship and research due to complexities that exceed their training or capacities. The EMPOWER study applies a coproduction model that engages researchers, patients, clinicians, managers, and other health system users. Key stakeholders shaped the design of the study to best ensure acceptability and engagement of the "end users"-patients who enroll in the study and the clinicians who implement the opioid tapers. Targeting the needs of any stakeholder group in isolation is suboptimal. Accordingly, we detail the EMPOWER patient-centered opioid tapering clinical research framework and specific strategies to address stakeholder concerns. We also discuss how this framework may be applied to enhance engagement in healthcare research broadly.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.