Trial reportApplied clinical informatics2025
Learning from Misses: Evaluating a Clinical Decision Support for Chronic Pain Management in Primary Care.
Trial report in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Factors associated with chronic pain clinical decision support use in primary care.PLOS digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
This study aimed to assess the effect of a passive, opt-in electronic health record (EHR)-based clinical decision support (CDS), the Chronic Pain OneSheet, on guideline-recommended chronic pain management in primary care.A pragmatic randomized controlled trial with a parallel group design was conducted between October 2020 and May 2022. Participants were 137 primary care clinicians (PCCs) treating qualifying patients with chronic pain at 25 primary care clinics within two academic health systems in the United States. PCCs were randomized in the EHR to have access to OneSheet or usual care. OneSheet aggregates guideline-relevant information in a single view and provides shortcuts to guideline-recommended actions (e.g., ordering urine drug screening [UDS] for patients prescribed opioids). We constructed five visit-level binary outcomes: (1) documenting pain-related goals; (2) documenting pain and function via Pain, Enjoyment of Life and General Activity (PEG) scale; (3) reviewing prescription drug monitoring programs (PDMPs); (4) ordering UDS; and (5) ordering naloxone. Analysis used generalized linear mixed models for each outcome.OneSheet access minimally increased rates of pain-related goal documentation (0.2 percentage point increase,
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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.