Evidence map›Paper›PMID 33512320›Full record

ArticleJournal of medical Internet research2021

Use of eHealth by Patients With Rheumatoid Arthritis: Observational, Cross-sectional, Multicenter Study.

Marion Magnol, Berard Eleonore, Rempenault Claire, Benjamin Castagne, Marine Pugibet, Cédric Lukas, Anne Tournadre, Pascale Vergne-Salle, Thomas Barnetche, Marie-Elise Truchetet and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
–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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Observational
  8. Review
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  15. Management of Rheumatoid Arthritis in Primary Care: A Scoping Review.International journal of environmental research and public health · 2024
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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

11 authors.

Marion Magnol *Rheumatology Department, Toulouse University Hospital, Toulouse, France.ORCID 0000-0002-0859-1197
Berard EleonoreRheumatology Department, Bordeaux University Hospital, Bordeaux, France.ORCID 0000-0002-1254-4713
Rempenault ClaireRheumatology Department, Montpellier University Hospital, Montpellier, France.ORCID 0000-0003-0083-0875
Benjamin CastagneRheumatology Department, Le-Puy-En-Velay Hospital, Le-Puy-En-Velay, France.ORCID 0000-0002-4588-8651
Marine PugibetRheumatology Department, Limoges University Hospital, Limoges, France.ORCID 0000-0002-3898-1954
Cédric LukasRheumatology Department, Montpellier University Hospital, Montpellier, France.ORCID 0000-0002-1095-3492
Anne TournadreRheumatology Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0002-5025-0214
Pascale Vergne-SalleRheumatology Department, Limoges University Hospital, Limoges, France.ORCID 0000-0003-0037-8540
Thomas BarnetcheRheumatology Department, Bordeaux University Hospital, Bordeaux, France.ORCID 0000-0002-0975-8534
Marie-Elise TruchetetRheumatology Department, Bordeaux University Hospital, Bordeaux, France.ORCID 0000-0001-8045-0180
Adeline Ruyssen-WitrandRheumatology Department, Toulouse University Hospital, Toulouse, France.ORCID 0000-0002-9815-2138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of eHealth tools (eg, the internet, mobile apps, and connected devices) in the management of chronic diseases and for rheumatoid arthritis is growing. eHealth may improve the overall quality of care provided to patients with chronic diseases.

objectiveThe primary objective of this study was to describe eHealth use by patients with rheumatoid arthritis in France. The secondary objectives were to identify associations between patient demographics and disease characteristics and the use of eHealth tools, and assess their expectations of eHealth.

methodsIn this cross-sectional, multicenter study, patients with rheumatoid arthritis, according to the 2010 ACR/EULAR classification criteria, were recruited from 5 university hospitals (Bordeaux, Clermont-Ferrand, Limoges, Montpellier, and Toulouse). Patients completed an anonymous self-questionnaire, including demographic data, evaluating their eHealth use (ie, access, support, frequency of use, type of use, and reason for use). The rheumatologist in charge of each patient completed an independent medical questionnaire on disease characteristics, activity of rheumatoid arthritis, and treatments. Data were collected between December 2018 and July 2019.

resultsQuestionnaires were completed by 575 participants, with a mean age of 62 (SD 13) years, 447 (77.7%) of whom were female. Overall, 82.2% (473/575) of the participants had access to eHealth through a computer (402/467, 86.1%), tablet (188/467, 40.2%), or smartphone (221/467, 47.3%). Of these, 36.4% (170/467) of the participants used the internet for health in general, and 28.7% (134/467) used it specifically for rheumatoid arthritis-related reasons. All these 134 patients used eHealth to learn about disease pathology, and 66.4% (89/134) of them used it as a tool to help monitor rheumatoid arthritis. Most patients (87/125, 69.6%) had a paper file, 19.2% (24/125) used a digital tool (spreadsheets, 10/125, 8%; mobile app, 9/125, 7.2%; or website, 5/125, 4%), and 24.8% (31/125) did not use any tools for monitoring. Few patients (16/125, 12.8%) used tools for treatment reminders. About 21.6% (27/125) of the patients using eHealth used a specific app for rheumatoid arthritis. Univariate analysis showed that age, education level, employment status, treatment, comorbidities, membership of a patient association, and patient education program were associated with eHealth use for rheumatoid arthritis. Multivariate analysis showed that membership of a patient association (odds ratio [OR] 5.8, 95% CI 3.0-11.2), use of biologic disease-modifying antirheumatic drugs (OR 0.6, 95% CI 0.4-1.0), and comorbidities (OR 0.7, 95% CI 0.6-0.8) remained associated with eHealth use for rheumatoid arthritis. Recommendation by a doctor (225/330, 68.2%), ease of use (105/330, 31.8%), and data security (69/330, 20.9%) were factors favoring the use of eHealth.

conclusionsTo date, few patients have used eHealth for disease management. The use of a reliable and validated eHealth tool for rheumatoid arthritis could therefore be promoted by rheumatologists and could optimize therapeutic adherence.

Indexed as

Arthritis, RheumatoidCross-Sectional StudiesFemaleHumansMaleMiddle AgedMobile ApplicationsSurveys and QuestionnairesTelemedicineeHealthinternetmobile apppatients’ expectationrheumatoid arthritis

Identifiers

PMID33512320
PMCPMC7880811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.