Evidence map›Paper›PMID 39957190›Full record

ArticleJournal of Parkinson's disease2024

mHealth-assisted expiratory muscle strength training in Parkinson's disease patients: A proof-of-concept study.

Martin Srp, Álvaro Sánchez Ferro, Joaquim Ferreira, Ricardo Cacho, Laura Antunes, Raquel Bouça-Machado, Ota Gál, Martina Hoskovcová, Radim Kliment, Jan Mužík and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

14 authors.

Martin SrpDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.ORCID 0000-0003-2215-0272
Álvaro Sánchez FerroHM CINAC, Hospital Universitario HM Puerta del Sur, Universidad CEU-San Pablo, Madrid, Spain.ORCID 0000-0003-2461-2485
Joaquim FerreiraCNS - Campus Neurológico, Torres Vedras, Portugal.ORCID 0000-0003-3950-5113
Ricardo CachoCNS - Campus Neurológico, Torres Vedras, Portugal.
Laura AntunesCNS - Campus Neurológico, Torres Vedras, Portugal.
Raquel Bouça-MachadoCNS - Campus Neurológico, Torres Vedras, Portugal.
Ota GálDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
Martina HoskovcováDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.ORCID 0009-0003-6819-4104
Radim KlimentFaculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic.ORCID 0000-0002-6418-9434
Jan MužíkFaculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic.ORCID 0000-0002-4851-7899
Tiago A MestreParkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa Brain and Mind Institute, Ottawa, Canada.
Daniel Pérez RangelMovement Disorders Unit, Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.ORCID 0009-0007-9627-4602
Evžen RůžičkaDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
iCARE-Pd ConsortiumDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.ORCID 0000-0002-4893-9661

Funding

CIHR
6 · The paper itself

Abstract

backgroundExpiratory muscle strength training (EMST) is acknowledged for its therapeutic benefits in Parkinson's disease (PD), yet long-term adherence remains a challenge.

objectiveThe primary aim of this study was to assess the preliminary effects of EMST coupled with a mobile health app (SpiroGym) on self-efficacy and exercise adherence in PD patients. The secondary aim was to assess the usability of the SpiroGym app.

methodsThis single-group, multicenter, multinational proof-of-concept study involved 63 PD patients across four tertiary PD centers. Participants were enrolled in either a 1-week (n = 35) or 24-week (n = 28) EMST program coupled with SpiroGym app. Self-efficacy was assessed using the Self-Efficacy for Home Exercise Program scale (SEHEPS) and exercise adherence was monitored by SpiroGym app. Usability was evaluated using the System Usability Scale.

resultsPost-intervention, significant improvements in SEHEPS were observed in 1-week group (d = 0.48; p = 0.02) and 24-week group (d = 0.57; p = 0.002). Adherence rates in the 24-week PD patient group were high throughout the course of the study. Post-training SEHEPS was found to correlate (rho = 0.55; adjusted p = 0.016) with adherence to EMST during the non-supervised maintenance phase. The SpiroGym app exhibited high usability (>85th percentile score), with no significant differences noted between short-term and long-term use, indicating sustained user satisfaction.

conclusionsThe results of our study suggest a promising role for SpiroGym app in supporting adherence to home-based EMST in PD patients. Nevertheless, future comparative studies are required to confirm SpiroGym's effectiveness.

Indexed as

Mobile ApplicationsParkinson DiseasePatient ComplianceResistance TrainingRespiratory MusclesSelf EfficacyAgedFemaleHumansMaleMiddle AgedProof of Concept StudyTelemedicinemHealthParkinson's diseasepatient complianceresistance trainingrespiratory musclesself-efficacy

Identifiers

PMID39957190
PMCPMC13348323

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.