It is generally agreed today that digital technology provides a lever for improving access to health care, care processes, and public health planning and activities such as education and prevention. Its use in countries that have reached a given level of development has taken place in a somewhat fragmented manner that raises important interoperability problems and sometimes makes synergy impossible between the different projects of digital health. This may be linked to several factors, principally the lack of a global vision of digital health, and inadequate methodological knowledge that prevents the development and implementation of this vision. The countries of Africa should be able to profit from these errors from the beginnings of digital health, by moving toward systemic approaches, known standards, and tools appropriate to the realities on the ground. The aim of this work is to present the methodological approaches as well as the principal results of two relatively new centers of expertise in Mali and Cameroon intended to cultivate this vision of digital governance in the domain of health and to train professionals to implement the projects. Both centers were created due to initiatives of organizations of civil society. The center in Mali developed toward an economic interest group and then to collaboration with healthcare and university organizations. The same process is underway at the Cameroon center. The principal results from these centers can be enumerated under different aspects linked to research, development, training, and implementation of digital health tools. They have produced dozens of scientific publications, doctoral dissertations, theses, and papers focused especially on subjects such as the medicoeconomic evaluation tools of e-health and health information technology systems. In light of these results, we can conclude that these two centers of expertise have well and truly been established. Their role may be decisive in the local training of participants, the culture of good governance of digital health projects, the development of operational strategies, and the implementation of projects.
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http://dx.doi.org/10.1684/mst.2017.0726 | DOI Listing |
J Med Internet Res
January 2025
School of Journalism and Communication, Beijing Normal University, Beijing, China.
Background: Digital health interventions have emerged as promising tools to promote health behavior change and improve health outcomes. However, a comprehensive synthesis of strategies contributing to these interventions is lacking.
Objective: This study aims to (1) identify and categorize the strategies used in digital health interventions over the past 25 years; (2) explore the differences and changes in these strategies across time periods, countries, populations, delivery methods, and senders; and (3) serve as a valuable reference for future researchers and practitioners to improve the effectiveness of digital health interventions.
J Med Internet Res
January 2025
Department of Community Health Sciences, Boston University, Boston, MA, United States.
Background: Improving adherence to pre-exposure prophylaxis (PrEP) via digital health interventions (DHIs) for young sexual and gender minority men who have sex with men (YSGMMSM) is promising for reducing the HIV burden. Measuring and achieving effective engagement (sufficient to solicit PrEP adherence) in YSGMMSM is challenging.
Objective: This study is a secondary analysis of the primary efficacy randomized controlled trial (RCT) of Prepared, Protected, Empowered (P3), a digital PrEP adherence intervention that used causal mediation to quantify whether and to what extent intrapersonal behavioral, mental health, and sociodemographic measures were related to effective engagement for PrEP adherence in YSGMMSM.
J Med Internet Res
January 2025
Knight Foundation of Computing & Information Sciences, Florida International University, Miami, FL, United States.
Background: Digital biomarkers are increasingly used in clinical decision support for various health conditions. Speech features as digital biomarkers can offer insights into underlying physiological processes due to the complexity of speech production. This process involves respiration, phonation, articulation, and resonance, all of which rely on specific motor systems for the preparation and execution of speech.
View Article and Find Full Text PDFEur Heart J
January 2025
Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF risk.
Methods: Across multinational cohorts in the Yale New Haven Health System (YNHHS), UK Biobank (UKB), and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), individuals without baseline HF were followed for the first HF hospitalization.
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