Contemporary Review of Smartphone Apps for Tinnitus Management and Treatment.

cbt healthcare mobile apps mobile health self help tinnitus research tinnitus therapy

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
17 Nov 2020
Historique:
received: 24 09 2020
revised: 30 10 2020
accepted: 09 11 2020
entrez: 20 11 2020
pubmed: 21 11 2020
medline: 21 11 2020
Statut: epublish

Résumé

Tinnitus is a complex and heterogeneous psycho-physiological disorder responsible for causing a phantom ringing or buzzing sound albeit the absence of an external sound source. It has a direct influence on affecting the quality of life of its sufferers. Despite being around for a while, there has not been a cure for tinnitus, and the usual course of action for its treatment involves use of tinnitus retaining and sound therapy, or Cognitive Behavioral Therapy (CBT). One positive aspect about these therapies is that they can be administered face-to-face as well as delivered via internet or smartphone. Smartphones are especially helpful as they are highly personalized devices, and offer a well-established ecosystem of apps, accessible via respective marketplaces of differing mobile platforms. Note that current therapeutic treatments such as CBT have shown to be effective in suppressing the tinnitus symptoms when administered face-to-face, their effectiveness when being delivered using smartphones is not known so far. A quick search on the prominent market places of popular mobile platforms (Android and iOS) yielded roughly 250 smartphone apps offering tinnitus-related therapies and tinnitus management. As this number is expected to steadily increase due to high interest in smartphone app development, a contemporary review of such apps is crucial. In this paper, we aim to review scientific studies validating the smartphone apps, particularly to test their effectiveness in tinnitus management and treatment. We use the PRISMA guidelines for identification of studies on major scientific literature sources and delineate the outcomes of identified studies.

Identifiants

pubmed: 33212928
pii: brainsci10110867
doi: 10.3390/brainsci10110867
pmc: PMC7698350
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : Horizon 2020
ID : 722064

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Auteurs

Muntazir Mehdi (M)

Institute of Distributed Systems, Ulm University, 89081 Ulm, Germany.

Albi Dode (A)

Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany.

Rüdiger Pryss (R)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97070 Würzburg, Germany.

Winfried Schlee (W)

Clinic and Polyclinic for Psychiatry and Psychotherapy, 93053 Regensburg, Germany.

Manfred Reichert (M)

Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany.

Franz J Hauck (FJ)

Institute of Distributed Systems, Ulm University, 89081 Ulm, Germany.

Classifications MeSH