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 Formative Research

Date Submitted: Mar 5, 2022
Open Peer Review Period: Feb 15, 2022 - Apr 12, 2022
Date Accepted: Mar 14, 2023
(closed for review but you can still tweet)

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

Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

Sweeney M, Barton W, Nebeker C

Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

JMIR Form Res 2023;7:e37329

DOI: 10.2196/37329

PMID: 37103995

PMCID: 10176132

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Evaluating mobile apps targeting older adults: An environmental scan evaluating privacy and safety features

  • Megan Sweeney; 
  • William Barton; 
  • Camille Nebeker

ABSTRACT

Background:

Smartphone use has increased dramatically and, in parallel, a market for mobile applications has emerged. The business model of targeted advertisements, allows for collection of personal information, often without user knowledge. Older adults comprise a rapidly growing demographic potentially vulnerable to exploitation.

Objective:

This study evaluated data collection, storage and sharing practices of mobile apps targeting older adults.

Methods:

An environmental scan was conducted using the Google search engine and typing “apps for older adults.” The first 25 sites comprised the primary data for this study. Apps were organized by descriptive features, existence of a privacy policy, price and evidence supporting the recommended product.

Results:

A total of 133 mobile apps were identified and promoted as being the best “apps for older adults” of which 83% included a privacy policy. Fewer apps designated in the “medical” category included a privacy policy. Two explained reasons specific app recommendations, whereas the 23 remaining did not provide rationale for recommendations.

Conclusions:

Results suggest that apps targeting older adults disclose data management information. Research is needed to determine whether these privacy policies are readable, succinct, and incorporate all data use and sharing practices to mitigate ethical concerns and promote autonomy of older adults. Clinical Trial: N/A


 Citation

Please cite as:

Sweeney M, Barton W, Nebeker C

Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

JMIR Form Res 2023;7:e37329

DOI: 10.2196/37329

PMID: 37103995

PMCID: 10176132

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© 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.