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Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

BACKGROUND: Smartphone use has increased dramatically and, in parallel, a market for mobile apps, including health apps, has emerged. The business model of targeted mobile app advertisements allows for the collection of personal and potentially sensitive information, often without user knowledge. Ol...

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Detalles Bibliográficos
Autores principales: Sweeney, Megan, Barton, William, Nebeker, Camille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176132/
https://www.ncbi.nlm.nih.gov/pubmed/37103995
http://dx.doi.org/10.2196/37329
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author Sweeney, Megan
Barton, William
Nebeker, Camille
author_facet Sweeney, Megan
Barton, William
Nebeker, Camille
author_sort Sweeney, Megan
collection PubMed
description BACKGROUND: Smartphone use has increased dramatically and, in parallel, a market for mobile apps, including health apps, has emerged. The business model of targeted mobile app advertisements allows for the collection of personal and potentially sensitive information, often without user knowledge. Older adults comprise a rapidly growing demographic that is potentially vulnerable to exploitation by those accessing data collected via these apps. OBJECTIVE: This research examined apps that claimed to be useful to older adults with a goal of (1) classifying the functionality of each app, (2) identifying whether a privacy policy existed and was accessible, and (3) evaluating evidence that could support claims of value to older adults. METHODS: An environmental scan was conducted using the Google search engine and typing “apps for older adults.” The first 25 sites that this search returned comprised the primary data for this study. Data were organized by descriptive features of purpose (eg, health, finance, and utility), the existence of an electronically accessible privacy policy, price, and evidence supporting each recommended mobile app. RESULTS: A total of 133 mobile apps were identified and promoted as being the best “apps for older adults.” Of these 133 mobile apps, 83% (n=110) included a privacy policy. Fewer apps designated in the “medical” category included a privacy policy than those classified otherwise. CONCLUSIONS: The results suggest that most mobile apps targeting older adults include a privacy policy. Research is needed to determine whether these privacy policies are readable, succinct, and incorporate accessible data use and sharing practices to mitigate potential risks, particularly when collecting potentially sensitive health information.
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spelling pubmed-101761322023-05-13 Evaluating Mobile Apps Targeting Older Adults: Descriptive Study Sweeney, Megan Barton, William Nebeker, Camille JMIR Form Res Original Paper BACKGROUND: Smartphone use has increased dramatically and, in parallel, a market for mobile apps, including health apps, has emerged. The business model of targeted mobile app advertisements allows for the collection of personal and potentially sensitive information, often without user knowledge. Older adults comprise a rapidly growing demographic that is potentially vulnerable to exploitation by those accessing data collected via these apps. OBJECTIVE: This research examined apps that claimed to be useful to older adults with a goal of (1) classifying the functionality of each app, (2) identifying whether a privacy policy existed and was accessible, and (3) evaluating evidence that could support claims of value to older adults. METHODS: An environmental scan was conducted using the Google search engine and typing “apps for older adults.” The first 25 sites that this search returned comprised the primary data for this study. Data were organized by descriptive features of purpose (eg, health, finance, and utility), the existence of an electronically accessible privacy policy, price, and evidence supporting each recommended mobile app. RESULTS: A total of 133 mobile apps were identified and promoted as being the best “apps for older adults.” Of these 133 mobile apps, 83% (n=110) included a privacy policy. Fewer apps designated in the “medical” category included a privacy policy than those classified otherwise. CONCLUSIONS: The results suggest that most mobile apps targeting older adults include a privacy policy. Research is needed to determine whether these privacy policies are readable, succinct, and incorporate accessible data use and sharing practices to mitigate potential risks, particularly when collecting potentially sensitive health information. JMIR Publications 2023-04-27 /pmc/articles/PMC10176132/ /pubmed/37103995 http://dx.doi.org/10.2196/37329 Text en ©Megan Sweeney, William Barton, Camille Nebeker. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.04.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Sweeney, Megan
Barton, William
Nebeker, Camille
Evaluating Mobile Apps Targeting Older Adults: Descriptive Study
title Evaluating Mobile Apps Targeting Older Adults: Descriptive Study
title_full Evaluating Mobile Apps Targeting Older Adults: Descriptive Study
title_fullStr Evaluating Mobile Apps Targeting Older Adults: Descriptive Study
title_full_unstemmed Evaluating Mobile Apps Targeting Older Adults: Descriptive Study
title_short Evaluating Mobile Apps Targeting Older Adults: Descriptive Study
title_sort evaluating mobile apps targeting older adults: descriptive study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176132/
https://www.ncbi.nlm.nih.gov/pubmed/37103995
http://dx.doi.org/10.2196/37329
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