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Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership

BACKGROUND: To promote shared digital health best practices in a global context, as agreed within the Global Digital Health Partnership (GDHP), one of the most important topics to evaluate is the ability to detect what participating countries believe to be priorities suitable to improve their health...

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Autores principales: Cascini, Fidelia, Altamura, Gerardo, Failla, Giovanna, Gentili, Andrea, Puleo, Valeria, Melnyk, Andriy, Causio, Francesco Andrea, Ricciardi, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632991/
https://www.ncbi.nlm.nih.gov/pubmed/36339514
http://dx.doi.org/10.3389/fdgth.2022.968953
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author Cascini, Fidelia
Altamura, Gerardo
Failla, Giovanna
Gentili, Andrea
Puleo, Valeria
Melnyk, Andriy
Causio, Francesco Andrea
Ricciardi, Walter
author_facet Cascini, Fidelia
Altamura, Gerardo
Failla, Giovanna
Gentili, Andrea
Puleo, Valeria
Melnyk, Andriy
Causio, Francesco Andrea
Ricciardi, Walter
author_sort Cascini, Fidelia
collection PubMed
description BACKGROUND: To promote shared digital health best practices in a global context, as agreed within the Global Digital Health Partnership (GDHP), one of the most important topics to evaluate is the ability to detect what participating countries believe to be priorities suitable to improve their healthcare systems. No previously published scientific papers investigated these aspects as a cross-country comparison. OBJECTIVE: The aim of this paper is to present results concerning the priorities identification section of the Evidence and Evaluation survey addressed to GDHP members in 2021, comparing countries’ initiatives and perspectives for the future of digital health based on internationally agreed developments. METHODS: This survey followed a cross-sectional study approach. An online survey was addressed to the stakeholders of 29 major countries. RESULTS: Ten out of 29 countries answered the survey. The mean global score of 3.54 out of 5, calculated on the whole data set, demonstrates how the global attention to a digital evolution in health is shared by most of the evaluated countries. CONCLUSION: The resulting insights on the differences between digital health priority identification among different GDHP countries serves as a starting point to coordinate further progress on digital health worldwide and foster evidence-based collaboration.
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spelling pubmed-96329912022-11-04 Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership Cascini, Fidelia Altamura, Gerardo Failla, Giovanna Gentili, Andrea Puleo, Valeria Melnyk, Andriy Causio, Francesco Andrea Ricciardi, Walter Front Digit Health Digital Health BACKGROUND: To promote shared digital health best practices in a global context, as agreed within the Global Digital Health Partnership (GDHP), one of the most important topics to evaluate is the ability to detect what participating countries believe to be priorities suitable to improve their healthcare systems. No previously published scientific papers investigated these aspects as a cross-country comparison. OBJECTIVE: The aim of this paper is to present results concerning the priorities identification section of the Evidence and Evaluation survey addressed to GDHP members in 2021, comparing countries’ initiatives and perspectives for the future of digital health based on internationally agreed developments. METHODS: This survey followed a cross-sectional study approach. An online survey was addressed to the stakeholders of 29 major countries. RESULTS: Ten out of 29 countries answered the survey. The mean global score of 3.54 out of 5, calculated on the whole data set, demonstrates how the global attention to a digital evolution in health is shared by most of the evaluated countries. CONCLUSION: The resulting insights on the differences between digital health priority identification among different GDHP countries serves as a starting point to coordinate further progress on digital health worldwide and foster evidence-based collaboration. Frontiers Media S.A. 2022-09-16 /pmc/articles/PMC9632991/ /pubmed/36339514 http://dx.doi.org/10.3389/fdgth.2022.968953 Text en © 2022 Cascini, Altamura, Failla, Gentili, Puleo, Melnyk, Causio and Ricciardi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Cascini, Fidelia
Altamura, Gerardo
Failla, Giovanna
Gentili, Andrea
Puleo, Valeria
Melnyk, Andriy
Causio, Francesco Andrea
Ricciardi, Walter
Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership
title Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership
title_full Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership
title_fullStr Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership
title_full_unstemmed Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership
title_short Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership
title_sort approaches to priority identification in digital health in ten countries of the global digital health partnership
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632991/
https://www.ncbi.nlm.nih.gov/pubmed/36339514
http://dx.doi.org/10.3389/fdgth.2022.968953
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