Evidence map›Paper›PMID 37897326›Full record

SynthesisMultiple sclerosis (Houndmills, Basingstoke, England)2023

Mobile health interventions in multiple sclerosis: A systematic review.

Christoph Heesen, Thomas Berger, Karin Riemann-Lorenz, Nicole Krause, Tim Friede, Jana Pöttgen, Björn Meyer, Dagmar Lühmann

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Review
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  10. Article
  11. Article
  12. Article
  13. Connecting the dots: the role of fatigue in female infertility.Reproductive biology and endocrinology : RB&E · 2024
    Review
  14. Review
  15. Effectiveness of a digital health application (Multiple sclerosis journal - experimental, translational and clinical
    Article
  16. 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 at 4 institutions in 2 countries.

Christoph HeesenClinical and Rehabilitative MS Research, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center, Hamburg, Germany.ORCID 0000-0001-8131-9467
Thomas BergerDepartment of Clinical Psychology, University of Bern, Bern, Switzerland.
Karin Riemann-LorenzClinical and Rehabilitative MS Research, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center, Hamburg, Germany.
Nicole KrauseClinical and Rehabilitative MS Research, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center, Hamburg, Germany.
Tim FriedeDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.ORCID 0000-0001-5347-7441
Jana PöttgenClinical and Rehabilitative MS Research, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center, Hamburg, Germany.
Björn MeyerGAIA AG, Hamburg, Germany.
Dagmar LühmannDepartment of General Practice and Primary Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DEGAIA (Germany) · DEUniversitätsmedizin Göttingen · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons with multiple sclerosis (pwMS) might be particularly well suited to benefit from digital health applications because they are, on average, younger and less severely disabled than patients with many other chronic diseases. Many digital health applications for pwMS have been developed.

objectivesAnalysis of the evidence of digital health applications to improve health outcomes from a patient perspective.

methodsA systematic review was performed on all randomized controlled trials (RCTs) that have studied mobile health interventions for pwMS, that is, which can be applied with a smartphone, tablet, or laptop to improve patient-reported outcomes.

resultsOf the 1127 articles identified in the literature search, 13 RCTs fit the inclusion criteria. Two trials studied messaging systems, two depression interventions, one addressed MS fatigue, five cognition, and three mobility issues, of which two focused on spasticity management. One trial aimed to enhance physical activity. Most were pilot studies that cannot yield definitive conclusions regarding efficacy. One depression intervention and one fatigue intervention showed significant results across several outcomes.

conclusionSeveral mobile self-guided digital health applications for pwMS have been tested in RCTs, and two interventions targeting depression and fatigue have demonstrated significant effects. Challenges remain regarding implementation into routine care.

Indexed as

Multiple SclerosisTelemedicineChronic DiseaseFatigueHumansSmartphonedigitalizationMobile healthpatient-reported outcomesrandomized controlled trials

Identifiers

PMID37897326
PMCPMC10687804
OpenAlexW4388007183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.