Evidence map›Paper›PMID 32749996›Full record

ArticleJMIR mHealth and uHealth2020

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.

Olivier Windisch, Ido Zamberg, Marie-Céline Zanella, Angèle Gayet-Ageron, Katherine Blondon, Eduardo Schiffer, Thomas Agoritsas

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 3 countries.

Olivier Windisch *Division of Urology, Department of Surgery, University Hospitals of Geneva, Geneva, Switzerland.ORCID 0000-0002-8963-5445
Ido Zamberg *Division of General Internal Medicine, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland.ORCID 0000-0003-4534-4635
Marie-Céline ZanellaDivision of Infectious Diseases, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland.ORCID 0000-0001-9544-1295
Angèle Gayet-AgeronFaculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-6164-9693
Katherine BlondonFaculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-9407-8516
Eduardo SchifferFaculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-7415-4315
Thomas AgoritsasDivision of General Internal Medicine, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland.ORCID 0000-0002-6182-9969
University of Geneva · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveWe 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.

methodsA 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.

resultsDuring 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.

conclusionsThe 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.

Indexed as

Health PersonnelTelemedicineCoronavirus InfectionsCOVID-19Disease OutbreaksHumansInformation DisseminationPandemicsPneumonia, ViralCOVID-19health administrationhealth appshealth professionalsinformation disseminationmHealthsmartphone

Identifiers

PMID32749996
PMCPMC7439805
OpenAlexW3046412814

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.