Evidence map›Paper›PMID 33389312›Full record

SynthesisClinical rheumatology2021

Mobile health technologies for the management of rheumatic diseases: a systematic review of online stores in Brazil.

Lucas Ogura Dantas, Cristiano Carvalho, Beatriz Cardinal Prando, Timothy E McAlindon, Paula Regina Mendes da Silva Serrão

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Validity and reliability assessment of the Persian version of the User Mobile Application Rating Scale.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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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

5 authors.

Lucas Ogura DantasPhysical Therapy Department, Federal University of São Carlos, São Carlos, 13565-905, Brazil.ORCID http://orcid.org/0000-0002-6188-7552
Cristiano CarvalhoPhysical Therapy Department, Federal University of São Carlos, São Carlos, 13565-905, Brazil.
Beatriz Cardinal PrandoPhysical Therapy Department, Federal University of São Carlos, São Carlos, 13565-905, Brazil.
Timothy E McAlindonDivision of Rheumatology, Tufts Medical Center, Boston, MA, USA.
Paula Regina Mendes da Silva SerrãoPhysical Therapy Department, Federal University of São Carlos, São Carlos, 13565-905, Brazil. paula.serrao@ufscar.br.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo #2017/20057-8Fundação de Amparo à Pesquisa do Estado de São Paulo (BR) #2015/21422-6
6 · The paper itself

Abstract

Rheumatic diseases are serious conditions with a low uptake of conservative treatments. Mobile health (mHealth) applications (apps) offer potential to assist the self-management of rheumatic diseases. Our goal was to perform a systematic review of available mHealth apps for rheumatic diseases in Brazil. We focused on the most prevalent rheumatic diseases: osteoarthritis, rheumatoid arthritis, fibromyalgia, systemic lupus erythematosus, osteoporosis, and axial spondylarthritis. Google Play Store and AppStore in Brazil were queried by two independent reviewers on September 2020, and the quality of eligible mHealth apps was assessed using the Mobile App Rating Scale (MARS). Of the 3173 mHealth apps found, five were eligible for inclusion. Two for fibromyalgia and two for axial spondylarthritis offered exercise, educational content, and tools to track patient-reported symptoms; and one for osteoporosis offered educational content and tracking tools only. The included apps scored moderately on the MARS quality scale, with a mean score (SD) of 3.1 (0.7) on a 0-5 scale. Most apps scored poorly based on credibility, user interface and experience, and engagement. There is growing interest in the development of mHealth technologies to support rheumatic diseases patients. Although the majority of the included apps came from non-profit organizations, they are still of poor quality and limited functionality. This study is a call for to the development of new user-centered mHealth apps that can empower rheumatic diseases patients in Brazil, especially in the area of osteoarthritis, rheumatoid arthritis, and lupus, since no apps were found.

Indexed as

Mobile ApplicationsRheumatic DiseasesTelemedicineBrazilExerciseHumansChronic diseaseFibromyalgiamHealthMobile health technologyOsteoporosisRheumatologySpondylarthritis

Identifiers

What OpenQuestion holds

Textmetadata
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.