Technologies for Managing the Health of Older Adults with Multiple Chronic Conditions: A Systematic Literature Review

Author:

Cajamarca Gabriela1ORCID,Proust Valentina2,Herskovic Valeria3ORCID,Cádiz Rodrigo F.4ORCID,Verdezoto Nervo5ORCID,Fernández Francisco J.6ORCID

Affiliation:

1. School of Mathematical and Computational Sciences, Yachay Tech University, San Miguel de Urcuquí 100119, Ecuador

2. Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA

3. Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile

4. Department of Electrical Engineering, School of Engineering, and Music Institute, Faculty of Arts, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile

5. School of Computer Science and Informatics, Cardiff University, Cardiff CF24 4AG, UK

6. Faculty of Communication, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile

Abstract

Multimorbidity is defined as the presence of two or more chronic medical conditions in a person, whether physical, mental or long-term infectious diseases. This is especially common in older populations, affecting their quality of life and emotionally impacting their caregivers and family. Technology can allow for monitoring, managing, and motivating older adults in their self-care, as well as supporting their caregivers. However, when several conditions are present at once, it may be necessary to manage several types of technologies, or for technology to manage the interaction between conditions. This work aims to understand and describe the technologies that are used to support the management of multimorbidity for older adults. We conducted a systematic review of ten years of scientific literature from four online databases. We reviewed a corpus of 681 research papers, finally including 25 in our review. The technologies used most frequently by older adults with multimorbidity are mobile applications and websites, and they are mostly focused on communication and connectivity. We then propose opportunities for future research on addressing the challenges in the management of several simultaneous health conditions, potentially creating a better approach than managing each condition as if it were independent.

Funder

ANID—Millennium Science Initiative Program

National Center for Artificial Intelligence CENIA

Vicerrectoría de Investigación de la Pontificia Universidad Católica de Chile, Concurso de Investigación Interdisciplinaria Convocatoria

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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