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mHealth technologies for osteoarthritis self-management and treatment: A systematic review.
Choi, Wonchan; Zheng, Hua; Franklin, Patricia; Tulu, Bengisu.
Afiliación
  • Choi W; Worcester Polytechnic Institute, USA.
  • Franklin P; University of Massachusetts Medical School, USA.
  • Tulu B; Worcester Polytechnic Institute, USA.
Health Informatics J ; 25(3): 984-1003, 2019 09.
Article en En | MEDLINE | ID: mdl-29090628
Osteoarthritis is a common chronic disease that can be better treated with the help of self-management interventions. Mobile health (mHealth) technologies are becoming a popular means to deliver such interventions. We reviewed the current state of research and development of mHealth technologies for osteoarthritis self-management to determine gaps future research could address. We conducted a systematic review of English articles and a survey of apps available in the marketplace as of 2016. Among 117 unique articles identified, 25 articles that met our inclusion criteria were reviewed in-depth. The app search identified 23 relevant apps for osteoarthritis self-management. Through the synthesis of three research themes (osteoarthritis assessment tools, osteoarthritis measurement tools, and osteoarthritis motion monitoring tools) that emerged from the current knowledge base, we provide a design framework to guide the development of more comprehensive osteoarthritis mHealth apps that facilitate self-management, decision support, and shared decision-making.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoartritis / Resultado del Tratamiento / Telemedicina / Automanejo Tipo de estudio: Prognostic_studies / Qualitative_research / Systematic_reviews Límite: Humans Idioma: En Revista: Health Informatics J Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoartritis / Resultado del Tratamiento / Telemedicina / Automanejo Tipo de estudio: Prognostic_studies / Qualitative_research / Systematic_reviews Límite: Humans Idioma: En Revista: Health Informatics J Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido