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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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MHealth Technologies in Voice Disorders: A Scoping Review.

Linette du Toit1, Maria du Toit1, Rouxjeanne Vermeulen2

  • 1Department of Speech-Language Pathology and Audiology, University of Pretoria, Lynnwood Road, Hatfield, Pretoria 0002, South Africa.

Journal of Voice : Official Journal of the Voice Foundation
|March 25, 2026
PubMed
Summary
This summary is machine-generated.

Mobile health (mHealth) technologies show promise for voice disorder care, improving access and cost-effectiveness. Further research, especially integrating laryngeal imaging, is needed to fully realize their potential in early detection and treatment.

Keywords:
MHealthManagementScoping reviewSmartphone applicationsTelehealthVoice disorders

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Area of Science:

  • Healthcare technology
  • Otolaryngology
  • Digital health

Background:

  • Technological advancements in healthcare can improve patient outcomes and access to care.
  • Evidence on the effectiveness of these technologies for voice disorders is limited.
  • A comprehensive scoping review is needed to assess current knowledge.

Purpose of the Study:

  • To map and describe existing evidence on mobile health (mHealth) technologies.
  • Focus on early detection, assessment, and treatment of voice disorders.
  • Identify current applications and gaps in research.

Main Methods:

  • Conducted a scoping review following the Joanna Briggs Institute (JBI) framework.
  • Utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist (PRISMA-ScR).
  • Ensured a comprehensive and systematic approach to evidence synthesis.

Main Results:

  • Included 84 studies, primarily from high-income countries (2016-2025).
  • Focused on adult populations (67%), smartphones (51%), and telehealth (19%).
  • mHealth solutions targeted neurological and functional voice disorders, showing feasibility and potential for early detection and monitoring, but often lacked laryngeal imaging (4%).

Conclusions:

  • mHealth technologies can enhance accessibility, equity, and cost-effectiveness in voice disorder care.
  • Potential benefits are particularly significant for underserved regions.
  • Further research is crucial to expand applications, especially incorporating laryngeal imaging, for a preventative and sustainable global model.