000086290 001__ 86290
000086290 005__ 20240319080944.0
000086290 0247_ $$2doi$$a10.1016/j.jbi.2018.11.009
000086290 0248_ $$2sideral$$a109729
000086290 037__ $$aART-2019-109729
000086290 041__ $$aeng
000086290 100__ $$0(orcid)0000-0002-1831-3342$$aBlanco, T.$$uUniversidad de Zaragoza
000086290 245__ $$aMicro ad-hoc Health Social Networks (uHSN). Design and evaluation of a social-based solution for patient support
000086290 260__ $$c2019
000086290 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086290 5203_ $$aObjective: To contribute the design, development, and assessment of a new concept: Micro ad hoc Health Social Networks (uHSN), to create a social-based solution for supporting patients with chronic disease.
Design: After in-depth fieldwork and intensive co-design over a 4-year project following Community-Based Participatory Research (CBPR), this paper contributes a new paradigm of uHSN, defining two interaction areas (the “backstage” the sphere invisible to the final user, where processes that build services take place; and the “onstage” the visible part that includes the patients and relatives), and describes a new transversal concept, i.e., “network spaces segments, ” to provide timely interaction among all involved profiles and guaranteeing qualitative relationships. This proposal is applicable to any service design project and to all types of work areas; in the present work, it served as a social-based solution for supporting patients with chronic disease in two real-life health scenarios: a Parkinson disease patient association and a Stroke rehabilitation service in a hospital. These two scenarios included the following main features: thematic (related to the specific disease), private, and secure (only for the patient, relatives, healthcare professional, therapist, carer), with defined specific objectives (around patient support), small size (from tens to hundreds of users), ability to integrate innovative services (e.g., connection to hospital information service or to health sensors), supported by local therapeutic associations, and clustered with preconfigured relationships among users based in network groups.
Measurements: Using a mixed qualitative and quantitative approach for 6 months, the performance of the uHSN was assessed in the two environments: a hospital rehabilitation unit working with Stroke patients, and a Parkinson disease association providing physiotherapy, occupational therapy, psychological support, speech therapy, and social services. We describe the proposed methods for evaluating the uHSN quantitatively and qualitatively, and how the scientific community can replicate and/or integrate this contribution in its research.
Results: The uHSN overcomes the main limitations of traditional HSNs in the main areas recommended in the literature: privacy, security, transparency, system ecology, Quality of Service (QoS), and technology enhancement. The qualitative and quantitative research demonstrated its viability and replicability in four key points: user acceptance, productivity improvement, QoS enhancement, and fostering of social relations. It also meets the expectation of connecting health and social worlds, supporting distance rehabilitation, improving professionals’ efficiency, expanding users’ social capital, improving information quality and immediacy, and enhancing perceived peer/social/emotional support. The scientific contributions of the present paper are the first step not only in customizing health solutions that empower patients, their families, and healthcare professionals, but also in transferring this new paradigm to other scientific, professional, and social environments to create new opportunities.
000086290 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/IPT-2011-1038-900000
000086290 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000086290 590__ $$a3.526$$b2019
000086290 591__ $$aMEDICAL INFORMATICS$$b7 / 27 = 0.259$$c2019$$dQ2$$eT1
000086290 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b32 / 109 = 0.294$$c2019$$dQ2$$eT1
000086290 592__ $$a1.14$$b2019
000086290 593__ $$aHealth Informatics$$c2019$$dQ1
000086290 593__ $$aComputer Science Applications$$c2019$$dQ1
000086290 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086290 700__ $$0(orcid)0000-0001-5316-8171$$aCasas, R.$$uUniversidad de Zaragoza
000086290 700__ $$0(orcid)0000-0002-7396-7840$$aMarco, A.
000086290 700__ $$0(orcid)0000-0002-2887-2105$$aMartínez, I.$$uUniversidad de Zaragoza
000086290 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000086290 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000086290 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000086290 773__ $$g89 (2019), 68-80$$pJ. Biomed. Inform$$tJournal of Biomedical Informatics$$x1532-0464
000086290 8564_ $$s878649$$uhttps://zaguan.unizar.es/record/86290/files/texto_completo.pdf$$yPostprint
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000086290 951__ $$a2024-03-18-12:29:33
000086290 980__ $$aARTICLE