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Design for a Virtual Peer-to-Peer Knowledge to Action Platform for Type 2 Diabetes.
Golkhandan, Elham; Paglialonga, Alessia; Guergachi, Aziz; Lussier, Marie-Therese; Richard, Claude; Dube, Laurette; Zenlea, Ian; Kyba, Robert; Mittal, Manmohan; Smokey Thomas, Warren; Keshavjee, Karim.
Afiliação
  • Golkhandan E; Ryerson University, Toronto, Canada.
  • Paglialonga A; Institute of Electronics, Information Engineering and Telecommunications (IEIIT), National Research Council of Italy (CNR), Milan, Italy.
  • Guergachi A; Ryerson University, Toronto, Canada.
  • Lussier MT; Universite de Montreal, Montreal, Canada.
  • Richard C; Universite de Montreal, Montreal, Canada.
  • Dube L; McGill Centre for the Convergence of Health and Economics, McGill University, Montreal, Canada.
  • Zenlea I; Trillium Health Partners, Mississauga, Canada.
  • Kyba R; Strategic Global Counsel, Toronto, Canada.
  • Mittal M; Institute of Health Policy, Management and Evaluation, University of Toronto, Canada.
  • Smokey Thomas W; Patient Representative, Kingston, Ontario.
  • Keshavjee K; Institute of Health Policy, Management and Evaluation, University of Toronto, Canada.
Stud Health Technol Inform ; 294: 614-618, 2022 May 25.
Article em En | MEDLINE | ID: mdl-35612162
ABSTRACT
Many patients with Type 2 Diabetes (T2D) have difficulty in controlling their disease despite wide-spread availability of high-quality guidelines, T2D education programs and primary care follow-up programs. Current diabetes education and treatment programs translate knowledge from bench to bedside well, but underperform on the 'last-mile' of converting that knowledge into action (KTA). Two innovations to the last-mile problem in management of patients with T2D are introduced. 1) Design of a platform for peer-to-peer groups where patients can solve KTA problems together in a structured and psychologically safe environment using all the elements of the Action Cycle phase of the KTA framework. The platform uses Self-Determination Theory as the behavior change theory. 2) A novel patient segmentation method to enable the formation of groups of patients who have similar behavioral characteristics and therefore who are more likely to find common cause in the fight against diabetes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article