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

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 proliferati...

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Main Authors: Grau-Corral, Inmaculada, Jansà, Margarida, Gascon, Pau, Lozano-Rubí, Raimundo, Pantoja, Percy Efrain, Roca, Daria, Aragunde Miguens, Valentín, Hidalgo-Mazzei, Diego, Escarrabill, Joan
Format: Article
Language:English
Published: JMIR Publications 2020-01-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2020/1/e16247/
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spelling doaj-5b0ac38b47c34c8d9598ce59c45f70752021-05-03T02:53:46ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222020-01-0181e1624710.2196/16247Mobile Health Projects in a High-Complexity Reference Hospital: Case StudyGrau-Corral, InmaculadaJansà, MargaridaGascon, PauLozano-Rubí, RaimundoPantoja, Percy EfrainRoca, DariaAragunde Miguens, ValentínHidalgo-Mazzei, DiegoEscarrabill, Joan 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.http://mhealth.jmir.org/2020/1/e16247/
collection DOAJ
language English
format Article
sources DOAJ
author Grau-Corral, Inmaculada
Jansà, Margarida
Gascon, Pau
Lozano-Rubí, Raimundo
Pantoja, Percy Efrain
Roca, Daria
Aragunde Miguens, Valentín
Hidalgo-Mazzei, Diego
Escarrabill, Joan
spellingShingle Grau-Corral, Inmaculada
Jansà, Margarida
Gascon, Pau
Lozano-Rubí, Raimundo
Pantoja, Percy Efrain
Roca, Daria
Aragunde Miguens, Valentín
Hidalgo-Mazzei, Diego
Escarrabill, Joan
Mobile Health Projects in a High-Complexity Reference Hospital: Case Study
JMIR mHealth and uHealth
author_facet Grau-Corral, Inmaculada
Jansà, Margarida
Gascon, Pau
Lozano-Rubí, Raimundo
Pantoja, Percy Efrain
Roca, Daria
Aragunde Miguens, Valentín
Hidalgo-Mazzei, Diego
Escarrabill, Joan
author_sort Grau-Corral, Inmaculada
title Mobile Health Projects in a High-Complexity Reference Hospital: Case Study
title_short Mobile Health Projects in a High-Complexity Reference Hospital: Case Study
title_full Mobile Health Projects in a High-Complexity Reference Hospital: Case Study
title_fullStr Mobile Health Projects in a High-Complexity Reference Hospital: Case Study
title_full_unstemmed Mobile Health Projects in a High-Complexity Reference Hospital: Case Study
title_sort mobile health projects in a high-complexity reference hospital: case study
publisher JMIR Publications
series JMIR mHealth and uHealth
issn 2291-5222
publishDate 2020-01-01
description 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.
url http://mhealth.jmir.org/2020/1/e16247/
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