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Martín-Sánchez, Fernando

https://orcid.org/0000-0002-7312-5707

Mayo Clinic

Instituto de Salud Carlos III

Citations 2

Digital Interventions and Their Unexpected Outcomes – Time for Digitalovigilance?
López–Campos, Guillermo , Martín-Sánchez, Fernando , Petersen, Carolyn , Petersen, Carolyn , Gabarrón, Elia , Merolli, Mark , Denecke, Kerstin

Studies in Health Technology and Informatics | January 25, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.3233/shti231011 Get It

The application of digital interventions in healthcare beyond research has been translated in the development of software as a medical device. Along with corresponding regulations for medical devices, there is a need for assessing adverse events to conduct post-market surveillance and to appropriately label digital health interventions to ensure proper use and patient safety. To date unexpected consequences of digital health interventions are neglected or ignored, or at least remain undescribed in literature. This paper is intended to raise awareness across the research community about these upcoming challenges. We recommend that - together with developing a new research field of digitalovigilance - a systematic assessment and monitoring of adverse events and unexpected interactions be included in clinical trials, along with the reporting of such events and the conduct of meta-analyses on critical aspects.
Defining and Scoping Participatory Health Informatics: An eDelphi Study
Petersen, Carolyn , Cabrer, Miguel, Davies, Shauna , Grainger, Rebecca , Hussein, Rada , López–Campos, Guillermo , Martín-Sánchez, Fernando , McKillop, Mollie M. , Miron‐Shatz, Talya , Trigo, Jesús D. , Cossio, C. Hullin Lucay, Grainger, Rebecca , Petersen, Carolyn , Denecke, Kerstin , Rivera-Romero, Octavio , Benham‐Hutchins, Marge , Merolli, Mark , Wright, Graham, Wynn, Rolf , Gabarrón, Elia

Methods of Information in Medicine | February 15, 2023 | Volume: 62 | Issue: 03/04 | Pages: 090-099

10.1055/a-2035-3008 Get It

Abstract Background Health care has evolved to support the involvement of individuals in decision making by, for example, using mobile apps and wearables that may help empower people to actively participate in their treatment and health monitoring. While the term “participatory health informatics” (PHI) has emerged in literature to describe these activities, along with the use of social media for health purposes, the scope of the research field of PHI is not yet well defined. Objective This article proposes a preliminary definition of PHI and defines the scope of the field. Methods We used an adapted Delphi study design to gain consensus from participants on a definition developed from a previous review of literature. From the literature we derived a set of attributes describing PHI as comprising 18 characteristics, 14 aims, and 4 relations. We invited researchers, health professionals, and health informaticians to score these characteristics and aims of PHI and their relations to other fields over three survey rounds. In the first round participants were able to offer additional attributes for voting. Results The first round had 44 participants, with 28 participants participating in all three rounds. These 28 participants were gender-balanced and comprised participants from industry, academia, and health sectors from all continents. Consensus was reached on 16 characteristics, 9 aims, and 6 related fields. Discussion The consensus reached on attributes of PHI describe PHI as a multidisciplinary field that uses information technology and delivers tools with a focus on individual-centered care. It studies various effects of the use of such tools and technology. Its aims address the individuals in the role of patients, but also the health of a society as a whole. There are relationships to the fields of health informatics, digital health, medical informatics, and consumer health informatics. Conclusion We have proposed a preliminary definition, aims, and relationships of PHI based on literature and expert consensus. These can begin to be used to support development of research priorities and outcomes measurements.