Evidence map›Paper›PMID 39395970›Full record

ArticleBMC medical informatics and decision making2024

Patient perceptions of an electronic-health-record-based rheumatoid arthritis outcomes dashboard: a mixed-methods study.

Catherine Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Jing Li, Jinoos Yazdany, Gabriela Schmajuk

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

8 authors.

Catherine Nasrallah *Division of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Cherish Wilson *Division of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Alicia HamblinDivision of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Christine HarizDivision of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Cammie YoungDivision of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Jing LiDivision of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Jinoos YazdanyDivision of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA.
Gabriela SchmajukDivision of Rheumatology, Department of Medicine, University of California, 4150 Clement Street, Mailstop 111R, San Francisco, CA, 94121, USA. gabriela.schmajuk@ucsf.edu.

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wenhan Chang · 2019 to 2026
$7.1M
Advancing Quality and Outcomes Measurement in RheumatologyK24AR074534 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jinoos Yazdany · 2019 to 2026
$1.5M
AHRQ HHS R01 HS025405NIAMS NIH HHS K24 AR074534NIAMS NIH HHS P30 AR070155NIAMS NIH HHS P30 AR075055
6 · The paper itself

Abstract

backgroundOutcome measures are crucial to support a treat-to-target approach to rheumatoid arthritis (RA) care, yet their integration into clinical practice remains inconsistent. We developed an Electronic Heath Record-integrated, patient-facing side-car application to display RA outcomes (disease activity, functional status, pain scores), medications, and lab results during clinical visits ("RA PRO Dashboard"). The study aimed to evaluate patient perceptions and attitudes towards the implementation of a novel patient-facing dashboard during clinical visits using a mixed-methods approach.

methodsRA patients whose clinicians used the dashboard at least once during their clinical visit were invited to complete a survey regarding its usefulness in care. We also conducted semi-structured interviews with a subset of patients to assess their perceptions of the dashboard. The interviews were transcribed verbatim and analyzed thematically using deductive and inductive techniques. Emerging themes and subthemes were organized into four domains of the Ecological Model of Health.

resultsOut of 173 survey respondents, 79% were interested in seeing the dashboard again at a future visit, 71% felt it improved their understanding of their disease, and 65% believed it helped with decision-making about their RA care. Many patients reported that the dashboard helped them discuss their RA symptoms (76%) and medications (72%) with their clinician. Interviews with 29 RA patients revealed 10 key themes: the dashboard was perceived as a valuable visual tool that improved patients' understanding of RA outcome measures, enhanced their involvement in care, and increased their trust in clinicians and the clinic. Common reported limitations included concerns about reliability of RA outcome questionnaires for some RA patients and inconsistent collection and explanation of these measures by clinicians.

conclusionsIn both the quantitative and qualitative components of the study, patients reported that the dashboard improved their understanding of their RA, enhanced patient-clinician communication, supported shared decision-making, and increased patient engagement in care. These findings support the use of dashboards or similar data visualization tools in RA care and can be used in future interventions to address challenges in data collection and patient education.

Indexed as

Arthritis, RheumatoidElectronic Health RecordsAdultAgedFemaleHumansMaleMiddle AgedOutcome Assessment, Health CareQualitative ResearchDashboardDisease ActivityEcological Model of HealthMixed-MethodsPatient Reported OutcomesPatientsPerceptionsPhysical FunctionQualitative interviewsRheumatoid Arthritis

Identifiers

PMID39395970
PMCPMC11470722

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Registered trials

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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.