@Article{info:doi/10.2196/20025,
author="Windisch, Olivier
and Zamberg, Ido
and Zanella, Marie-C{\'e}line
and Gayet-Ageron, Ang{\`e}le
and Blondon, Katherine
and Schiffer, Eduardo
and Agoritsas, Thomas",
title="Using mHealth to Increase the Reach of Local Guidance to Health Professionals as Part of an Institutional Response Plan to the COVID-19 Outbreak: Usage Analysis Study",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Aug",
day="19",
volume="8",
number="8",
pages="e20025",
keywords="COVID-19; smartphone; mHealth; information dissemination; health professionals; health administration; health apps",
abstract="Background: The ongoing coronavirus disease (COVID-19) pandemic forced health jurisdictions worldwide to significantly restructure and reorganize their medical activities. In response to the rapidly evolving body of evidence, a solid communication strategy is needed to increase the reach of and adherence to locally drafted and validated guidance to aide medical staff with COVID-19--related clinical decisions. Objective: We present a usage analysis of a dedicated mobile health (mHealth) platform as part of an institutional knowledge dissemination strategy of COVID-19--related guidance to all health care workers (HCWs) in a large academic hospital. Methods: A multidisciplinary team of experts drafted local guidance related to COVID-19. In total, 60 documents and 17 external links were made available through the platform. Documents were disseminated using a recently deployed mHealth platform for HCWs. Targeted dissemination of COVID-19--related content began on March 22, 2020. Using a third-party statistics tool, data concerning user activity and content use was anonymously collected. A quantitative analysis of user activity was performed over a 4-month period, separated into 3 periods: 2 months before (Period A), 2 weeks after (Period B), and 6 weeks following (Period C) targeted dissemination. Regional epidemiological data (daily new COVID-19 cases and total COVID-19--related hospitalizations) was extracted from an official registry. Results: During the study period, the platform was downloaded by 1233 new users. Consequently, the total number of users increased from 1766 users before Period A to a total of 2999 users at the end of Period C. We observed 27,046 document views, of which 12,728 (47.1{\%}) were COVID-19--related. The highest increase in activity occurred in Period B, rapidly following targeted dissemination, with 7740 COVID-19--related content views, representing 71.2{\%} of total content views within the abovementioned period and 550 daily views of COVID-19--related documents. Total documents consulted per day increased from 117 (IQR 74-160) to 657 (IQR 481-1051), P<.001. This increase in activity followed the epidemiological curbing of newly diagnosed COVID-19 cases, which peaked during Period B. Total active devices doubled from 684 to 1400, daily user activity increased fourfold, and the number of active devices rose from 53 (IQR 40-70) to 210 (IQR 167-297), P<.001. In addition, the number of sessions per day rose from 166 (IQR 110-246) to 704 (IQR 517-1028), P<.001. A persistent but reduced increase in total documents consulted per day (172 [IQR 131-251] versus 117 [IQR 74-160], P<.001) and active devices (71 [IQR 64-89] versus 53 [IQR 40-70]) was observed in Period C compared to Period A, while only 29.8{\%} of the content accessed was COVID-19--related. After targeted dissemination, an immediate increase in activity was observed after push notifications were sent to users. Conclusions: The use of an mHealth solution to disseminate time-sensitive medical knowledge seemed to be an effective solution to increase the reach of validated content to a targeted audience. ",
issn="2291-5222",
doi="10.2196/20025",
url="http://mhealth.jmir.org/2020/8/e20025/",
url="https://doi.org/10.2196/20025",
url="http://www.ncbi.nlm.nih.gov/pubmed/32749996"
}