Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Mar 21, 2018
Open Peer Review Period: Mar 21, 2018 - May 16, 2018
Date Accepted: Sep 27, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Mobile Apps for Management of Tinnitus: Users’ Survey, Quality Assessment, and Content Analysis

Sereda M, Smith S, Newton K, Stockdale D

Mobile Apps for Management of Tinnitus: Users’ Survey, Quality Assessment, and Content Analysis

JMIR Mhealth Uhealth 2019;7(1):e10353

DOI: 10.2196/10353

PMID: 30672739

PMCID: 6364200

Mobile Apps for Management of Tinnitus: Users’ Survey, Quality Assessment and Content Analysis

  • Magdalena Sereda; 
  • Sandra Smith; 
  • Kiri Newton; 
  • David Stockdale

ABSTRACT

Background:

Tinnitus is the perception of a sound without outside source. It affects 6 million people in the United Kingdom. Sound therapy is a core component of many tinnitus management programs. Potential mechanisms of benefit include making tinnitus less noticeable, habituation, distracting attention from tinnitus, relaxation, and promoting neuroplastic changes within the brain. In recent years, there has been a substantial increase in the use of mobile technology. This provided an additional medium through which people with tinnitus can access different tinnitus management options, including sound therapy.

Objective:

The aim of this study was to (1) generate the list of apps that people use for management of their tinnitus, (2) explore reasons for app use and nonuse, (3) perform quality assessment of the most cited apps, and (4) perform content analysis to explore and describe options and management techniques available in the most cited apps.

Methods:

A Web-based survey consisting of 33 open and closed questions captured (1) demographic information, information about tinnitus, and hearing loss and (2) mobile app–specific information about the motivation to use an app, the apps which respondents used for tinnitus, important factors when choosing an app, devices used to access apps, and reasons for not using apps. The quality of the most cited apps was assessed using the Mobile Apps Rating Scale (MARS) content, and features of the most cited apps were analyzed.

Results:

Data from 643 respondents were analyzed. The majority of respondents (75%, n=482) had never used an app for management of tinnitus mainly because of lack of awareness (79%, n=381). The list of the 55 apps that people use for their tinnitus was generated. These included apps that were developed specifically for the management of tinnitus; however, the majority of cited apps were developed for other problems (eg, sleep, depression or anxiety, and relaxation). Quality assessment of the 18 most popular apps using MARS resulted in a range of mean scores from 1.6 to 4.2 (out of 5). In line with the current model of tinnitus management, sound was the main focus of the majority of the apps. Other components included relaxation exercises, elements of cognitive behavioral therapy, information and education, and hypnosis.

Conclusions:

People used apps for the management of their tinnitus; however, this was done mostly as a self-help option, without conjunction with management provided by hearing health care professionals. Further research should consider the place for apps in tinnitus management (stand-alone self-management intervention vs part of the management by a hearing professional). As the content of the apps varies with respect to sound options, information, and management strategies, it seems that the choice of the best management app should be guided by individual patient’s needs and preferences.


 Citation

Please cite as:

Sereda M, Smith S, Newton K, Stockdale D

Mobile Apps for Management of Tinnitus: Users’ Survey, Quality Assessment, and Content Analysis

JMIR Mhealth Uhealth 2019;7(1):e10353

DOI: 10.2196/10353

PMID: 30672739

PMCID: 6364200

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.