Evidence map›Paper›PMID 41812147›Full record

Trial reportJournal of medical Internet research2026

Enhancing Adherence to Home-Based Expiratory Muscle Strength Training in Parkinson Disease: Randomized Controlled Trial of an mHealth Intervention.

Martin Srp, Martina Hoskovcova, Rebeka Lagnerova, Katerina Dvorakova, Radim Kliment, Jan Muzik, Radim Krupicka, Ota Gal, Evzen Ruzicka

Abstract readRandomized Controlled TrialClinical Trial, Phase II
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Martin Srp *Department of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Katerinska 30, Prague, 120 00, Czech Republic, 420 224965550.ORCID http://orcid.org/0000-0003-2215-0272
Martina Hoskovcova *Department of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Katerinska 30, Prague, 120 00, Czech Republic, 420 224965550.ORCID http://orcid.org/0000-0001-5798-8740
Rebeka LagnerovaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Katerinska 30, Prague, 120 00, Czech Republic, 420 224965550.ORCID http://orcid.org/0009-0001-3899-4229
Katerina DvorakovaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Katerinska 30, Prague, 120 00, Czech Republic, 420 224965550.ORCID http://orcid.org/0009-0005-4463-8414
Radim KlimentDepartment of Information and Communication Technologies in Medicine, Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-6418-9434
Jan MuzikDepartment of Information and Communication Technologies in Medicine, Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-4851-7899
Radim KrupickaDepartment of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.ORCID http://orcid.org/0000-0002-0280-215X
Ota GalDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Katerinska 30, Prague, 120 00, Czech Republic, 420 224965550.ORCID http://orcid.org/0000-0002-8614-2776
Evzen RuzickaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Katerinska 30, Prague, 120 00, Czech Republic, 420 224965550.ORCID http://orcid.org/0000-0002-4893-9661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aspiration pneumonia is a leading cause of death in Parkinson disease (PD). Expiratory muscle strength training (EMST) is a promising intervention for respiratory and swallowing dysfunction. However, long-term EMST adherence is frequently poor in PD. Objective: This study aims to determine whether mobile health (mHealth)-assisted EMST with the SpiroGym app (Czech Technical University) improves long-term adherence and physiological outcomes versus conventional EMST among participants at risk for nonadherence. Methods: In this single-center, parallel, phase 2 randomized controlled trial, 75 individuals with PD were randomized 1:1 to conventional EMST (control; n=38) or the same protocol enhanced with the SpiroGym app (experimental; n=37), using a simple computer-generated randomization sequence. The SpiroGym is an mHealth app that provides real-time performance monitoring, direct visual feedback, and longitudinal progress tracking. All participants completed 8 weeks of semisupervised intensive EMST with biweekly in-person reassessments, followed by 16 weeks of unsupervised maintenance training. The primary outcome was adherence during weeks 8 to 24 among participants at risk for nonadherence, defined a priori at week 8 as Self-Efficacy for Home Exercise Program Scale (SEHEPS) less than 59. Because risk status was determined at week 8 and all participants subsequently entered the unsupervised phase, individuals not classified as at-risk were not excluded. Their data from week 8 onward were reported alongside the at-risk group. Secondary outcomes were changes in maximum expiratory pressure and SEHEPS. Results: No study-related adverse events occurred. Groups were well matched at baseline (control vs experimental: mean disease duration 7.0 (SD 5.7) vs 7.3 SD 4.7) y; mean Hoehn-Yahr 1.97 (SD 0.6) vs 2.0 (SD 0.5)). The mixed-effects model showed no significant 3-way interaction (group×interval×SEHEPS risk; P=.14). At week 24, the at-risk category for the nonadherence cohort comprised 34 participants (control, n=17; experimental, n=17). In this at-risk cohort, the experimental group demonstrated a smaller decline in adherence during weeks 8 to 24 than controls (β=496.9, 95% CI 130.7-863.3; P=.008), completing 1073 (95% CI 643-1502) expiratory maneuvers versus 525 (95% CI 358-692). Maximum expiratory pressure increased in both groups from weeks 0 to 24, with larger gains in the experimental group (+43.1, 95% CI 32.4-53.8 cmH₂O) than in controls (+22.8, 95% CI 13.8-31.8 cmH₂O; P=.006; Cohen d=0.74). SEHEPS improved after intensive training in both groups, but only the experimental group exceeded the 12-point minimal detectable change at the 95% confidence limit. Conclusions: This is the first randomized controlled trial to integrate mHealth with EMST. Unlike prior studies in the EMST field, we focused on sustaining long-term exercise adherence. SpiroGym-assisted EMST resulted in higher long-term adherence and greater gains in expiratory muscle strength than conventional EMST. In real-world PD care, assessing self-efficacy after the supervised EMST phase may help identify individuals who would benefit from digital support, making mHealth-assisted EMST a practical approach for maintaining exercise adherence.

Indexed as

Parkinson DiseasePatient ComplianceResistance TrainingAdherence InterventionsAgedFemaleHumansMaleMiddle AgedMobile ApplicationsMuscle StrengthTelemedicineexercise adherenceexpiratory muscle strength trainingmobile healthParkinson diseaserandomized controlled trial

Identifiers

PMID41812147
PMCPMC12978541

What OpenQuestion holds

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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.