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Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores
BACKGROUND: Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults. OBJECTIVE: This systemat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081158/ https://www.ncbi.nlm.nih.gov/pubmed/33605884 http://dx.doi.org/10.2196/23313 |
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author | Portenhauser, Alexandra A Terhorst, Yannik Schultchen, Dana Sander, Lasse B Denkinger, Michael D Stach, Michael Waldherr, Natalie Dallmeier, Dhayana Baumeister, Harald Messner, Eva-Maria |
author_facet | Portenhauser, Alexandra A Terhorst, Yannik Schultchen, Dana Sander, Lasse B Denkinger, Michael D Stach, Michael Waldherr, Natalie Dallmeier, Dhayana Baumeister, Harald Messner, Eva-Maria |
author_sort | Portenhauser, Alexandra A |
collection | PubMed |
description | BACKGROUND: Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults. OBJECTIVE: This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores. METHODS: In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality. RESULTS: In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality. CONCLUSIONS: There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps. |
format | Online Article Text |
id | pubmed-8081158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80811582021-05-06 Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores Portenhauser, Alexandra A Terhorst, Yannik Schultchen, Dana Sander, Lasse B Denkinger, Michael D Stach, Michael Waldherr, Natalie Dallmeier, Dhayana Baumeister, Harald Messner, Eva-Maria JMIR Aging Original Paper BACKGROUND: Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults. OBJECTIVE: This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores. METHODS: In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality. RESULTS: In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality. CONCLUSIONS: There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps. JMIR Publications 2021-02-19 /pmc/articles/PMC8081158/ /pubmed/33605884 http://dx.doi.org/10.2196/23313 Text en ©Alexandra A Portenhauser, Yannik Terhorst, Dana Schultchen, Lasse B Sander, Michael D Denkinger, Michael Stach, Natalie Waldherr, Dhayana Dallmeier, Harald Baumeister, Eva-Maria Messner. Originally published in JMIR Aging (http://aging.jmir.org), 19.02.2021. 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 Aging, is properly cited. The complete bibliographic information, a link to the original publication on http://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Portenhauser, Alexandra A Terhorst, Yannik Schultchen, Dana Sander, Lasse B Denkinger, Michael D Stach, Michael Waldherr, Natalie Dallmeier, Dhayana Baumeister, Harald Messner, Eva-Maria Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores |
title | Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores |
title_full | Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores |
title_fullStr | Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores |
title_full_unstemmed | Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores |
title_short | Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores |
title_sort | mobile apps for older adults: systematic search and evaluation within online stores |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081158/ https://www.ncbi.nlm.nih.gov/pubmed/33605884 http://dx.doi.org/10.2196/23313 |
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