Personalized and contextualized information in self-management systems for chronically ill patients (PERISCOPE)

Laverman, Martin; Schonk, J. H. M.; Boog, Paul J.M. van der; Neerincx, Mark A.

doi:10.1145/1962300.1962370

Cited by 2 publications

(1 citation statement)

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“…However, the use of self-management systems to support patients to change their behavior has to date lead to moderate success. 13 Patients report that they do not receive sufficient advice on using self-management systems, while their healthcare professionals think that they do. 9 Even though theoretical models to design the development of self-management are used, it remains rather ad hoc.…”

Section: Introductionmentioning

confidence: 99%

Embedding persuasive design for self-health management systems in Dutch healthcare informatics education: Application of a theory-based method

Alpay¹,

Doms

Bijwaard

2018

Health Informatics J

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The development of eHealth is dramatically changing the way healthcare is provided and organized. eHealth applications are used not only by healthcare professionals but also by patients specifically to self-manage their health condition. The development of eHealth applications requires a new methodological approach, departing from the more conventional methods dedicated to designing health information systems. There is a gap between theories to design persuasive eHealth applications and practices. In the Netherlands, eHealth innovation emerges from three areas. In research, the development of eHealth application often remains in a pilot phase. Healthcare organizations are also keen to innovate but do not always have the know-how. We further witness technology push from business and industry, undermining the co-creation process of the innovation. We consequently advocate an integrated, systematic and practical but scientifically based methodology to design effective persuasive eHealth applications. This approach is being successfully embedded in our educational health informatics program.

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Section: Introductionmentioning

confidence: 99%