Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps

BackgroundUrological mobile medical (mHealth) apps are gaining popularity with both clinicians and patients. mHealth is a rapidly evolving and heterogeneous field, with some urology apps being downloaded over 10,000 times and others not at all. The factors that contribute to medical app downloads ha...

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Main Authors: Pereira-Azevedo, Nuno (Author), Osório, Luís (Author), Cavadas, Vitor (Author), Fraga, Avelino (Author), Carrasquinho, Eduardo (Author), Cardoso de Oliveira, Eduardo (Author), Castelo-Branco, Miguel (Author), Roobol, Monique J (Author)
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Published: JMIR Publications, 2016-07-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Pereira-Azevedo, Nuno  |e author 
700 1 0 |a Osório, Luís  |e author 
700 1 0 |a Cavadas, Vitor  |e author 
700 1 0 |a Fraga, Avelino  |e author 
700 1 0 |a Carrasquinho, Eduardo  |e author 
700 1 0 |a Cardoso de Oliveira, Eduardo  |e author 
700 1 0 |a Castelo-Branco, Miguel  |e author 
700 1 0 |a Roobol, Monique J  |e author 
245 0 0 |a Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps 
260 |b JMIR Publications,   |c 2016-07-01T00:00:00Z. 
500 |a 2291-5222 
500 |a 10.2196/mhealth.5738 
520 |a BackgroundUrological mobile medical (mHealth) apps are gaining popularity with both clinicians and patients. mHealth is a rapidly evolving and heterogeneous field, with some urology apps being downloaded over 10,000 times and others not at all. The factors that contribute to medical app downloads have yet to be identified, including the hypothetical influence of expert involvement in app development. ObjectiveThe objective of our study was to identify predictors of the number of urology app downloads. MethodsWe reviewed urology apps available in the Google Play Store and collected publicly available data. Multivariate ordinal logistic regression evaluated the effect of publicly available app variables on the number of apps being downloaded. ResultsOf 129 urology apps eligible for study, only 2 (1.6%) had >10,000 downloads, with half having ≤100 downloads and 4 (3.1%) having none at all. Apps developed with expert urologist involvement (P=.003), optional in-app purchases (P=.01), higher user rating (P<.001), and more user reviews (P<.001) were more likely to be installed. App cost was inversely related to the number of downloads (P<.001). Only data from the Google Play Store and the developers' websites, but not other platforms, were publicly available for analysis, and the level and nature of expert involvement was not documented. ConclusionsThe explicit participation of urologists in app development is likely to enhance its chances to have a higher number of downloads. This finding should help in the design of better apps and further promote urologist involvement in mHealth. Official certification processes are required to ensure app quality and user safety. 
546 |a EN 
690 |a Information technology 
690 |a T58.5-58.64 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n JMIR mHealth and uHealth, Vol 4, Iss 3, p e86 (2016) 
787 0 |n http://mhealth.jmir.org/2016/3/e86/ 
787 0 |n https://doaj.org/toc/2291-5222 
856 4 1 |u https://doaj.org/article/508e00e14f1146ef8c6e1e6b4722b246  |z Connect to this object online.