Evidence map›Paper›PMID 32012092›Full record

ArticleJMIR mHealth and uHealth2020

Mobile Health Projects in a High-Complexity Reference Hospital: Case Study.

Inmaculada Grau-Corral, Margarida Jansà, Pau Gascon, Raimundo Lozano-Rubí, Percy Efrain Pantoja, Daria Roca, Valentín Aragunde Miguens, Diego Hidalgo-Mazzei, Joan Escarrabill

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 1 country.

Inmaculada Grau-CorralHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0003-1014-051X
Margarida JansàHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0001-9710-4989
Pau GasconHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0002-4293-9732
Raimundo Lozano-RubíHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0002-7912-721X
Percy Efrain PantojaInstituto de Salud Global, Barcelona, Spain.ORCID 0000-0003-4095-8988
Daria RocaHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0002-4079-0823
Valentín Aragunde MiguensConsorci d'Atenció Primària Casanova, Consorci d'Atenció Primària de Salut de l'Eixample (CAPSBE), Barcelona, Spain.ORCID 0000-0002-5707-4452
Diego Hidalgo-MazzeiHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0002-2693-6849
Joan EscarrabillHospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0003-0492-9645
Hospital Clínic de Barcelona · ESBarcelona Institute for Global Health · ESConsorci d’Atenció Primària de Salut Barcelona Esquerra · ESUniversitat Oberta de Catalunya · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe widespread adoption of mobile and wearable devices and apps makes it essential to assess their possible impact on the management of health and diseases. Health care providers (HCPs) find themselves faced with a new situation in their setting with the proliferation of mobile health (mHealth) intervention tests. Few studies have addressed the development of mHealth and the methodologies to manage these apps in a tertiary hospital.

objectiveThe aim of this study was to evaluate the mHealth projects implemented in the Hospital Clínic of Barcelona to increase awareness of the context in which they are used and to develop policies for the development of good practice in mHealth innovation.

methodsA prospective, descriptive cross-sectional study was conducted in a highly specialized university hospital with 850 beds for adults and a reference population of 520,000 inhabitants. A specific questionnaire was developed based on the Mobile Health 5 Dimensions European (MOHE 5D-EU) theoretical model to find mHealth projects. Apps, telemedicine, and wearable devices were included in the systematic search. For that purpose, a vertical (top-down) email-based snowball process was conducted. Data were collected from February to December 2018 by conducting personal interviews with HCPs using a structured questionnaire.

resultsDuring the study period, 45 interviews were conducted; 35 mHealth initiatives were found, with 25 targeted to patients and 10 to health professionals. Most mHealth initiatives (34/35, 97%) were related to the software field (apps and telemedicine initiatives), and one was related to wearable devices. Among the projects, 68% (24/35) were classified as medical devices or developments at the edge (developments susceptible to limitations depending on the intended use). In relation to data protection, 27 initiatives managing personal data (27/35, 77%) considered data protection legislation. Only 9% (3/35) of the initiatives had foreseen the use of interconnectivity standards. Most of the initiatives were funded by grants (14/35, 40%), sponsorships (5/35, 14%), or the hospital itself (5/35, 14%). In terms of clinical management, most projects were developed in the field of research, followed by professional tools, clinical information, and therapeutic education. Only 6 projects were involved with health care; all were led by either the industry or small and medium enterprises.

conclusionsThis study helped create the design of a map of the mHealth projects conducted in our hospital that showed the stages of development of the different ongoing projects. This will allow monitoring of mHealth projects and construction of tools to reinforce areas with detected deficiencies. Our theoretical approach using a modified MOHE 5D-EU model was found to be useful for analyzing the characteristics of mHealth projects.

Indexed as

TelemedicineAdultComputer SecurityCross-Sectional StudiesHospitalsHumansProspective Studiesmobile healthobservational study

Identifiers

PMID32012092
PMCPMC7055769
OpenAlexW2980707842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.