Resumen
Behavior change approaches aim to assist patients in achieving selfefficacy in managing their condition. Social cognitive theory (SCT) stipulates selfefficacy as a central element to behavior change and provides constructs to achieve self-efficacy guided by person-specific action plans. In our work, to administer behaviour change in patient with chronic conditions, our approach entails the computerization of SCT-based self-efficacy constructs in order to generate personalized action plans that are suitable to an individual's current care scenario. We have taken a knowledge management approach, whereby we have computerized the SCT-based self-efficacy constructs in terms of a high-level SCT knowledge model that can be operationalized to generate personalized behaviour change action plans. We have collected and computerized behavior change content targeting healthy living and physical activity. Semantic web technologies have been used to develop the SCT knowledge model, represented in terms of an ontology and SWRL rules. The ontological SCT model can inferred to generate personalized self-management action plans for a given patient profile. We present formative evaluation of the clinical correctness and relevance of the generated personalized action plans for a range of test patient profiles.
Idioma original | English |
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Páginas (desde-hasta) | 399-403 |
Número de páginas | 5 |
Publicación | Studies in Health Technology and Informatics |
Volumen | 228 |
DOI | |
Estado | Published - 2017 |
Evento | Medical Informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016 - Munich, Germany Duración: ago. 28 2016 → sep. 2 2016 |
Nota bibliográfica
Publisher Copyright:© 2016 European Federation for Medical Informatics (EFMI) and IOS Press.
ASJC Scopus Subject Areas
- Biomedical Engineering
- Health Informatics
- Health Information Management