Evidence map›Paper›PMID 40621170›Full record

ArticleDigital health

Effectiveness of a mobile phone application in managing voice health for teachers: A randomized controlled trial.

Jonas Hauck, Christian Gegner, Marina Giglberger, Sven Hilbert

Abstract read
In one paragraph

Article in Digital health. 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. Digital Health Among Educators: A Scoping Review.Healthcare (Basel, Switzerland) · 2026
    Review
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

4 authors.

Jonas HauckDepartment for Educational Science, University of Regensburg, Regensburg, Germany.ORCID https://orcid.org/0009-0002-8872-0530
Christian GegnerDepartment of Applied Speech Science, University of Regensburg, Regensburg, Germany.ORCID https://orcid.org/0009-0009-0745-1676
Marina GiglbergerDepartment of Psychology, University of Regensburg, Regensburg, Germany.ORCID https://orcid.org/0000-0002-1828-8474
Sven HilbertDepartment for Educational Science, University of Regensburg, Regensburg, Germany.ORCID https://orcid.org/0000-0001-5808-8357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Teachers are at constant risk of straining their voices due to professional demands, making them more susceptible to voice disorders and therefore increased absenteeism. A widely accessible prevention method would be beneficial, leading to the development of the ReSt mobile application. The aim of this study was to evaluate its effectiveness. Methods: A randomized controlled trial was conducted with 399 teachers, allocating 205 participants to the training group and 194 to the control group. Over a 46-day period, participants in the training group engaged with the ReSt app. Outcomes were assessed using self-reports via the Voice Handicap Index (VHI-12) and objective evaluations employing the Dysphonia Severity Index (DSI). Additionally, app use was fully tracked using log data to gain insight into user engagement. Results: On average, the training resulted in substantial improvements in the DSI within the training group compared to the control group ( Conclusions: The app appears to have promising effects on physiological measured voice capability, but more training time may be needed to minimize the psychosocial impact of voice problems. Our results mark an important advancement in voice disorder prevention approaches, especially given previously inconclusive evidence for traditional voice training methods.

Indexed as

appeHealthmHealthPreventionrandomized control trialsmartphoneteachersvoice disordersvoice health

Identifiers

PMID40621170
PMCPMC12227945

What OpenQuestion holds

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LicenceCC BY
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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.