Evidence map›Paper›PMID 42155139›Full record

ArticleJMIR mHealth and uHealth2026

Mobile Apps for Tinnitus: Systematic Search in App Stores and Review of Intervention Components and Behavior Change Techniques.

Alina Rinn, Sarah Goetsch, Sandy Hannibal, Dirk Lehr, Cornelia Weise

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Alina RinnClinical Psychology and Psychotherapy, Philipps-University of Marburg, Gutenbergstraße 18, Marburg, Germany, 49 6421 28 22839.ORCID 0009-0003-7146-8591
Sarah GoetschDepartment of Health Psychology and Applied Biological Psychology, Leuphana University Lüneburg, Lüneburg, Germany.ORCID 0009-0004-7958-2847
Sandy HannibalDepartment of Health Psychology and Applied Biological Psychology, Leuphana University Lüneburg, Lüneburg, Germany.ORCID 0000-0002-5629-0268
Dirk Lehr *Department of Health Psychology and Applied Biological Psychology, Leuphana University Lüneburg, Lüneburg, Germany.ORCID 0000-0002-5560-3605
Cornelia Weise *Clinical Psychology and Behavioral Health Technology, Dept. of Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-5216-1031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous research suggests that 14.4% of the general population is affected by tinnitus. For some of those affected, the ear noise is bothersome or associated with severe distress. There are various treatment options such as cognitive behavioral therapy (CBT), sound therapy, or hearing aids. In addition to browser-based online interventions, mobile apps have been introduced as novel treatment approaches. Previous studies have identified several apps aimed at supporting users with tinnitus. Yet, knowledge about the content of tinnitus apps is limited. Objective: This study aimed to provide an overview of apps specifically developed for tinnitus by analyzing general app characteristics, as well as app content, focusing on intervention components and behavior change techniques (BCTs). Methods: A systematic search using 7 search terms (eg, tinnitus and ear noise) was conducted in the Google Play Store and the Apple App Store. Apps designed specifically for tinnitus and available in German or English met the inclusion criteria. Two independent trained raters assessed general app characteristics (eg, age group and costs) using the app description section of the German version of the Mobile App Rating Scale. In addition, raters analyzed app content using the BCT taxonomy (v1) and a list of typical intervention components in tinnitus treatment. Differences in ratings were discussed, and a third trained rater was consulted if no consensus was reached. Results: A total of 1198 apps were identified in the systematic search. Of those, 69 apps were included in the final analysis. Fifty-two apps were available for free, 23 of which offered in-app purchases. Among the 17 paid apps, costs ranged between €0.69 (US $0.81) and €450 (US $527) per 12 months. Fifty-eight of 69 apps provided sounds (eg, white noise and nature sounds). Many apps assessed tinnitus characteristics (n=38) and provided information about tinnitus (n=27). The most frequently used BCTs were "instruction on how to perform the behavior" (n=25; eg, audio instructions for relaxation techniques), "feedback on behavior" (n=11), "behavioral practice/rehearsal" (n=11), "information about health consequences" (n=11), "information about emotional consequences" (n=11), and "prompts/cues" (n=11). The number of BCTs implemented varied widely across apps (0-18 per app). Conclusions: Most tinnitus apps offer sound-based interventions (eg, white noise and nature sounds). Notably, CBT elements (eg, cognitive restructuring, attention training, and relaxation training) are implemented less frequently, despite CBT being recommended in tinnitus treatment guidelines. Further research on the efficacy of tinnitus apps is needed. Transparent reporting of intervention techniques may help clarify mechanisms of action and support the replication of effective interventions. Given the large number of readily accessible apps, this study provides an overview relevant to both researchers and health care professionals.

Indexed as

Behavior TherapyMobile ApplicationsTinnitusHumansbehavior change techniquesinternet interventionsintervention componentssmartphone appstinnitus

Identifiers

PMID42155139
PMCPMC13186522

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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.