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ArticleTrials2025

Implementation of shared decision making in rheumatoid arthritis: study protocol for RAiSeD (Rheumatoid Arthritis Shared Decision Making) stepped wedge, cluster-randomized trial.

Jennifer L Barton, Meike Niederhausen, Anaïs Tuepker, Gabriela Schmajuk, Joshua Baker, Travis I Lovejoy, Benjamin J Morasco, Marleen Kunneman, Isabelle Scholl

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05530694 (Implementation of Shared Decision Making in Rheumatoid Arthritis), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

NCT05530694 nacompletednot on this map

Implementation of Shared Decision Making in Rheumatoid Arthritis: A Stepped Wedge, Cluster-randomized Trial

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2022 to 2026Enrolled900ConditionsRheumatoid ArthritisArmsClinician communication training, Patient activation, RA Medication summary guide and RA Choice
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

9 authors.

Jennifer L BartonVA Portland Health Care System, Portland, USA. Jennifer.Barton1@va.gov.ORCID http://orcid.org/0000-0002-6771-3465
Meike NiederhausenOregon Health & Science University, Portland, USA.
Anaïs TuepkerVA Portland Health Care System, Portland, USA.
Gabriela SchmajukSan Francisco VA Health Care System, San Francisco, USA.
Joshua BakerCorporal Michael J. Crescenz VA Medical Center, Philadelphia, USA.
Travis I LovejoyVA Portland Health Care System, Portland, USA.
Benjamin J MorascoVA Portland Health Care System, Portland, USA.
Marleen KunnemanLeiden University Medical Center, Leiden, Netherlands.
Isabelle SchollUniversity Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

HSRD VA I01 HX003260U.S. Department of Veterans Affairs I01HX003260
6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) impacts quality of life causing disability and increased mortality. Treatment decisions are complex and require individualization. Shared decision making (SDM) is the first principle of RA treat-to-target guidelines, but uptake is suboptimal. We aim to evaluate the effectiveness of a multicomponent SDM intervention on RA disease activity and explore the early implementation of the intervention within three geographically diverse rheumatology services.

methodsThe RAiSeD trial uses a stepped-wedge, cluster-randomized trial design at three U.S. Veterans Health Administration rheumatology clinics, targeted to enroll more than 400 patients and over 45 clinicians. The multicomponent SDM intervention consists of three parts: (1) rheumatology clinician training and a pocket card on SDM and fostering choice awareness ("acknowledging when there is more than one sensible option available to address a patient's situation"), (2) RA patient activation using the AskShareKnow questions, and (3) a point-of-care decision aid (RA Choice) and medication summary guide. We will conduct a mixed-methods outcomes and process evaluation. Outcomes will be evaluated during a pre-intervention (usual care) and intervention period. The primary outcome is disease activity as measured by the validated Clinical Disease Activity Index (CDAI), with secondary outcomes of RA knowledge and medication adherence. SDM will be measured by two brief, validated patient-reported measures. A subgroup of clinic visits will be audio-recorded and clinicians' efforts to involve patients in SDM will be assessed. The implementation process will be evaluated using stakeholder interviews and field notes at each of the three sites. DISCUSSION: This study is the first multi-site trial of a multicomponent intervention to facilitate SDM among veterans with RA. We expect to improve uptake of SDM across geographically distinct rheumatology clinics and hypothesize that patients exposed to the interventions will have a greater decrease in disease activity and an increase in knowledge of RA medications compared to usual care. Insights gained from this study will inform broader dissemination and implementation of SDM across VA rheumatology clinics and beyond, with the goal of improving quality of care for all persons with RA.

trial registrationClinicalTrials.gov NCT05530694. Registered on September 7, 2022.

Indexed as

Arthritis, RheumatoidDecision Making, SharedPatient ParticipationAntirheumatic AgentsDecision Support TechniquesHealth Knowledge, Attitudes, PracticeHumansMulticenter Studies as TopicQuality of LifeRandomized Controlled Trials as TopicUnited StatesUnited States Department of Veterans AffairsAntirheumatic AgentsClinician trainingDecision aidQuality of careRheumatoid arthritisShared decision makingVeterans

Identifiers

PMID41024266
PMCPMC12482761

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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.