Evidence map›Paper›PMID 41891223›Full record

ArticleACR open rheumatology2026

Evaluating a Smartphone App-Based Module for Joint Self-Assessment as a Complementary Tool in Rheumatoid Arthritis Remote Disease Management.

Swamy Venuturupalli, Jiaxin Jessica He, Mhun-Jeong Isaac Lee, Talya Koger, Sofia Havadjias, Yogamanas Jinka, Natalie Fortune, Fenglong Xie, Yujie Su, Sandeep K Sodhi and 9 more

Abstract read
In one paragraph

Article in ACR open rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Swamy VenuturupalliCedars Sinai Medical Center, Los Angeles, California.ORCID https://orcid.org/0000-0003-0079-5109
Jiaxin Jessica HeAttune Health, Los Angeles, California.
Mhun-Jeong Isaac LeeAttune Health, Los Angeles, California.
Talya KogerAttune Health, Los Angeles, California.
Sofia HavadjiasAttune Health, Los Angeles, California.
Yogamanas JinkaAttune Health, Los Angeles, California.
Natalie FortuneAttune Health, Los Angeles, California.
Fenglong XieFoundation for Advancing Science, Technology, Education, and Research, Hoover, Alabama.
Yujie SuFoundation for Advancing Science, Technology, Education, and Research, Hoover, Alabama.
Sandeep K SodhiIllumination Health, Hoover, Alabama.ORCID https://orcid.org/0009-0000-5308-9721
Neelkamal SoaresUniversity of Michigan Medical School, Ann Arbor.
Kelly GaviganGlobal Healthy Living Foundation, Upper Nyack, New York.
Shilpa VenkatachalamGlobal Healthy Living Foundation, Upper Nyack, New York.ORCID https://orcid.org/0000-0003-3889-9034
John CushTexas Christian University Burnett School of Medicine, Fort Worth.
Danielle AliGlobal Healthy Living Foundation, Upper Nyack, New York.
William B NowellGlobal Healthy Living Foundation, Upper Nyack, New York.ORCID https://orcid.org/0000-0002-4951-6476
David CurtisGlobal Healthy Living Foundation, Upper Nyack, New York.
Rebecca GraingerTe Whatu Ora Health New Zealand Capital Coast and Hutt Valley, Wellington, New Zealand.ORCID https://orcid.org/0000-0001-9201-8678
Jeffrey R CurtisFoundation for Advancing Science, Technology, Education, and Research, Hoover, Alabama.ORCID https://orcid.org/0000-0002-8907-8976

Funding

Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
NIAMS NIH HHS P30 AR072583NIAMS NIH HHS P30AR072583Rheumatology Research Foundation
6 · The paper itself

Abstract

objectiveThe objective of this study was to develop and evaluate a new patient-facing tool to facilitate patient self-examination of joints as a complement to telehealth during the management of rheumatoid arthritis (RA).

methodsUsing a community-based rheumatology network, we evaluated the efficacy of an in-app cartoon-based joint examination module that guides patients through self-conducted physical examinations by comparing patient-derived joint counts with those recorded by physicians during in-office visits. A total of 100 patients were enrolled from outpatient rheumatology clinics. Scatter plots and regression models were used to analyze the data.

resultsOverall, rheumatologists recorded fewer tender and swollen joints than patients with RA. The correlation between patient and provider assessments was higher for the tender joint count (r = 0.5, P < 0.0001) than for the swollen joint count (r = 0.33, P < 0.001). In terms of disease activity, patients' joint counts led to composite disease activity scores that were accurate in predicting low disease activity (LDA) or remission but were likely to overestimate active disease compared to physicians' assessments, with a positive predictive value of a patient assessing that they were in LDA at 95% with specificity of 94%, whereas the negative predictive value was only 50% with a sensitivity of 54%.

conclusionAs remote therapeutic monitoring becomes increasingly used in health care, this study has relevance for the future expansion and application of telehealth procedures in rheumatology, particularly in providing insights regarding the types of patient training that might be required and the choice of patients in whom RA disease activity remote monitoring will have the highest utility.

Identifiers

PMID41891223
PMCPMC13122112

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.