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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
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 adhe...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439805/ https://www.ncbi.nlm.nih.gov/pubmed/32749996 http://dx.doi.org/10.2196/20025 |
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author | Windisch, Olivier Zamberg, Ido Zanella, Marie-Céline Gayet-Ageron, Angèle Blondon, Katherine Schiffer, Eduardo Agoritsas, Thomas |
author_facet | Windisch, Olivier Zamberg, Ido Zanella, Marie-Céline Gayet-Ageron, Angèle Blondon, Katherine Schiffer, Eduardo Agoritsas, Thomas |
author_sort | Windisch, Olivier |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7439805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74398052020-08-31 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 Windisch, Olivier Zamberg, Ido Zanella, Marie-Céline Gayet-Ageron, Angèle Blondon, Katherine Schiffer, Eduardo Agoritsas, Thomas JMIR Mhealth Uhealth Original Paper 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. JMIR Publications 2020-08-19 /pmc/articles/PMC7439805/ /pubmed/32749996 http://dx.doi.org/10.2196/20025 Text en ©Olivier Windisch, Ido Zamberg, Marie-Céline Zanella, Angèle Gayet-Ageron, Katherine Blondon, Eduardo Schiffer, Thomas Agoritsas. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 19.08.2020. 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 mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Windisch, Olivier Zamberg, Ido Zanella, Marie-Céline Gayet-Ageron, Angèle Blondon, Katherine Schiffer, Eduardo Agoritsas, Thomas 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 |
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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439805/ https://www.ncbi.nlm.nih.gov/pubmed/32749996 http://dx.doi.org/10.2196/20025 |
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