Evidence mapPaperPMID 38985235Full record

ArticleClinical rheumatology2024

Evidence for telemedicine heterogeneity in rheumatic and musculoskeletal diseases care: a scoping review.

Khadija El Aoufy, Maria Ramona Melis, Camilla Elena Magi, Silvia Bellando-Randone, Matteo Tamburini, Giulia Bandini, Alberto Moggi-Pignone, Marco Matucci-Cerinic, Stefano Bambi, Laura Rasero

Abstract readScoping Review
In one paragraph

Article in Clinical rheumatology, 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. Article
  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

10 authors.

Khadija El AoufyDepartment of Health Science, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy. khadija.elaoufy@unifi.it.ORCID http://orcid.org/0000-0003-3278-8296
Maria Ramona MelisDepartment of Experimental and Clinical Medicine, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Camilla Elena MagiDepartment of Health Science, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Silvia Bellando-RandoneDepartment of Experimental and Clinical Medicine, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Matteo TamburiniUniversity of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Giulia BandiniDepartment of Experimental and Clinical Medicine, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Alberto Moggi-PignoneDepartment of Experimental and Clinical Medicine, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Marco Matucci-CerinicUnit of Immunology, Rheumatology, Allergy and Rare Diseases (UnIRAR), IRCCS San Raffaele Hospital, Milan, Italy.
Stefano BambiDepartment of Health Science, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.
Laura RaseroDepartment of Health Science, University of Florence, Viale Largo Brambilla, 3 - 50134, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine and digital health represent alternative approaches for clinical practice; indeed, its potential in healthcare services for prevention, diagnosis, treatment, rehabilitation, and disease monitoring is widely acknowledged. These are all crucial issues to consider when dealing with chronic Rheumatic and Musculoskeletal Diseases (RMDs). The aim was to determine the current state of telemedicine in the field of rheumatology, considering the tools and devices in use as well as the Patient Reported Outcomes. A scoping review was performed following the PRISMA-ScR, retrieving articles through five databases from 1990 to 2022. Inclusion criteria were as follows: (I) adult patients with RMDs, (II) original research papers in the English language with available abstracts, and (III) telehealth and telemedicine are provided as healthcare services. Within the 62 included studies, multiple tools of telemedicine were used: 21/62 websites/online platforms, 18/62 mobile applications, 16/62 telephone contacts, 5/62 video-consultations, and 1/62 wearable devices. Outcomes were classified based on the economic, clinical, and humanistic framework. Clinical outcomes assessed through digital tools were pain, disease activity, and serum uric acid levels. Humanistic outcomes have been grouped according to four categories (e.g., mental and physical function, health management, and health perception). The heterogeneity of digital tools in the field of rheumatology highlights the challenge of implementing reliable research into clinical practice. Effective telerehabilitation models have been presented, and the use of a tight control strategy has also been mentioned. Future research should focus on establishing studies on other RMDs as well as summarizing and formulating clinical guidelines for RMDs. Key Points • Evidence for the usefulness of telemedicine and digital health for managing and monitoring rheumatic and musculoskeletal diseases is progressively increasing. • Several digital tools effectively measure clinical and humanistic and patient reported outcomes in rheumatic and musculoskeletal diseases. • Integrating diverse digital tools in rheumatology is challenging yet promising. • Future research should focus on developing standardized recommendations for practical use of telemedicine in daily practice.

Indexed as

Musculoskeletal DiseasesRheumatic DiseasesTelemedicineHumansRheumatologyDigital healthRheumatic and musculoskeletal diseaseTelehealthTelemedicineTelenursingTele-rheumatology

Identifiers

PMID38985235
PMCPMC11330403

What Socratic holds

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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 Socratic graph.