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Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps

OBJECTIVES: Across a range of health conditions, apps are increasingly valued as tools for supporting the delivery and coordination of healthcare. Research-led cross-sectional reviews of apps are a potential resource to inform app selection in face of uncertainties around content quality, safety and...

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Autores principales: Larsen, Mark, Nicholas, Jennifer, Han, Jin, Lemon, Christopher, Okun, Kelsi, Torok, Michelle, Wong, David, Wong, Iana, Wong, Quincy, Huckvale, Kit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713229/
https://www.ncbi.nlm.nih.gov/pubmed/33268414
http://dx.doi.org/10.1136/bmjopen-2020-039817
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author Larsen, Mark
Nicholas, Jennifer
Han, Jin
Lemon, Christopher
Okun, Kelsi
Torok, Michelle
Wong, David
Wong, Iana
Wong, Quincy
Huckvale, Kit
author_facet Larsen, Mark
Nicholas, Jennifer
Han, Jin
Lemon, Christopher
Okun, Kelsi
Torok, Michelle
Wong, David
Wong, Iana
Wong, Quincy
Huckvale, Kit
author_sort Larsen, Mark
collection PubMed
description OBJECTIVES: Across a range of health conditions, apps are increasingly valued as tools for supporting the delivery and coordination of healthcare. Research-led cross-sectional reviews of apps are a potential resource to inform app selection in face of uncertainties around content quality, safety and privacy. However, these peer-reviewed publications only capture a snapshot of highly dynamic app stores and marketplaces. To determine the extent to which marketplace dynamics might impact the interpretation of app reviews, the current study sought to quantify the lag between the reported time of app assessment and publication of the results of these studies. DESIGN: Searches were conducted on MEDLINE, Embase and PsycINFO to identify published cross-sectional reviews of health, fitness or wellness apps. Publication timeline metadata were extracted, allowing the primary outcome measure, the delay between app store search and manuscript publication, to be calculated. A secondary measure, the time between search and manuscript submission, was also calculated where possible. RESULTS: After screening, 136 relevant cross-sectional app review studies were analysed. The median time to publication was 431 days (approximately 14 months, range: 42–1054 days). The median time to submission was 269 days (approximately 9 months, range: 5–874 days). Studies which downloaded apps typically took longer to publish (p=0.010), however the number of apps reviewed did not impact the time to publication (p=0.964). Studies which recommended specific apps were not published more rapidly (p=0.998). CONCLUSIONS: Most health app reviews present data that are at least a year out-of-date at the time of publication. Given the high rate of turnover of health apps in public marketplaces, it may not be appropriate, therefore, for these reviews to be presented as a resource concerning specific products for commissioners, clinicians and the public. Alternative sources of information may be better calibrated to the dynamics of the app marketplace.
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spelling pubmed-77132292020-12-04 Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps Larsen, Mark Nicholas, Jennifer Han, Jin Lemon, Christopher Okun, Kelsi Torok, Michelle Wong, David Wong, Iana Wong, Quincy Huckvale, Kit BMJ Open Health Informatics OBJECTIVES: Across a range of health conditions, apps are increasingly valued as tools for supporting the delivery and coordination of healthcare. Research-led cross-sectional reviews of apps are a potential resource to inform app selection in face of uncertainties around content quality, safety and privacy. However, these peer-reviewed publications only capture a snapshot of highly dynamic app stores and marketplaces. To determine the extent to which marketplace dynamics might impact the interpretation of app reviews, the current study sought to quantify the lag between the reported time of app assessment and publication of the results of these studies. DESIGN: Searches were conducted on MEDLINE, Embase and PsycINFO to identify published cross-sectional reviews of health, fitness or wellness apps. Publication timeline metadata were extracted, allowing the primary outcome measure, the delay between app store search and manuscript publication, to be calculated. A secondary measure, the time between search and manuscript submission, was also calculated where possible. RESULTS: After screening, 136 relevant cross-sectional app review studies were analysed. The median time to publication was 431 days (approximately 14 months, range: 42–1054 days). The median time to submission was 269 days (approximately 9 months, range: 5–874 days). Studies which downloaded apps typically took longer to publish (p=0.010), however the number of apps reviewed did not impact the time to publication (p=0.964). Studies which recommended specific apps were not published more rapidly (p=0.998). CONCLUSIONS: Most health app reviews present data that are at least a year out-of-date at the time of publication. Given the high rate of turnover of health apps in public marketplaces, it may not be appropriate, therefore, for these reviews to be presented as a resource concerning specific products for commissioners, clinicians and the public. Alternative sources of information may be better calibrated to the dynamics of the app marketplace. BMJ Publishing Group 2020-12-02 /pmc/articles/PMC7713229/ /pubmed/33268414 http://dx.doi.org/10.1136/bmjopen-2020-039817 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Informatics
Larsen, Mark
Nicholas, Jennifer
Han, Jin
Lemon, Christopher
Okun, Kelsi
Torok, Michelle
Wong, David
Wong, Iana
Wong, Quincy
Huckvale, Kit
Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
title Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
title_full Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
title_fullStr Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
title_full_unstemmed Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
title_short Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
title_sort here’s something i prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713229/
https://www.ncbi.nlm.nih.gov/pubmed/33268414
http://dx.doi.org/10.1136/bmjopen-2020-039817
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