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

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

PMC · DOI: 10.2196/78022 · 2026-03-11

## TL;DR

A mobile app helped Parkinson's patients stick to breathing exercises longer and improved their lung strength more than traditional methods.

## Contribution

First randomized trial integrating mHealth with expiratory muscle strength training to improve long-term adherence in Parkinson's disease.

## Key findings

- mHealth-assisted EMST led to higher adherence and greater expiratory muscle strength gains than conventional EMST.
- Participants using the app completed significantly more breathing exercises during unsupervised training.
- Digital support via SpiroGym improved self-efficacy and physiological outcomes in Parkinson's patients.

## Abstract

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.

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.

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.

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.

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.

## Linked entities

- **Diseases:** Parkinson disease (MONDO:0005180), aspiration pneumonia (MONDO:0000265)

## Full-text entities

- **Diseases:** cough (MESH:D003371), head and neck cancer (MESH:D006258), dysphagia (MESH:D003680), MEP (MESH:D003668), Neurodegenerative disorders (MESH:D019636), PD (MESH:D010300), hypertension (MESH:D006973), death (MESH:D003643), SEHEPS (MESH:C538175), chronic illness (MESH:D002908), cognitive impairment (MESH:D003072), dopaminergic dysfunction (MESH:D009422), Movement Disorder (MESH:D009069), Aspiration pneumonia (MESH:D011015), respiratory disorders (MESH:D012131), pneumonia (MESH:D011014), parkinsonism (MESH:D010302)
- **Chemicals:** levodopa (MESH:D007980), SpiroGym (-), dopaminergic (MESH:D004298)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** MDC95 — Homo sapiens (Human), Chronic myelogenous leukemia, BCR-ABL1 positive, Cancer cell line (CVCL_SX66)

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12978541/full.md

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Source: https://tomesphere.com/paper/PMC12978541