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eVITAL: A Preliminary Taxonomy and Electronic Toolkit of Health-Related Habits and Lifestyle
Author(s) -
Luis SalvadorCarulla,
Carolyn O. Walsh,
Federico Alonso-Trujillo,
Rafael Gómez,
Carlos de Teresa,
José Ricardo Cabo-Soler,
Antonio Cano,
Mencía R. Gutiérrez-Colosía
Publication year - 2012
Publication title -
the scientific world journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.453
H-Index - 93
eISSN - 2356-6140
pISSN - 1537-744X
DOI - 10.1100/2012/379752
Subject(s) - computer science , multidisciplinary approach , focus group , primary care , taxonomy (biology) , algorithm , artificial intelligence , medicine , family medicine , biology , social science , botany , marketing , sociology , business
Objectives . To create a preliminary taxonomy and related toolkit of health-related habits (HrH) following a person-centered approach with a focus on primary care. Methods . From 2003–2009, a working group ( n = 6 physicians) defined the knowledge base, created a framing document, and selected evaluation tools using an iterative process. Multidisciplinary focus groups ( n = 29 health professionals) revised the document and evaluation protocol and participated in a feasibility study and review of the model based on a demonstration study with 11 adult volunteers in Antequera, Spain. Results . The preliminary taxonomy contains 6 domains of HrH and 1 domain of additional health descriptors, 3 subdomains, 43 dimensions, and 141 subdimensions. The evaluation tool was completed by the 11 volunteers. The eVITAL toolkit contains history and examination items for 4 levels of engagement: self-assessment, basic primary care, extended primary care, and specialty care. There was positive feedback from the volunteers and experts, but concern about the length of the evaluation. Conclusions . We present the first taxonomy of HrH, which may aid the development of the new models of care such as the personal contextual factors of the International Classification of Functioning (ICF) and the positive and negative components of the multilevel person-centered integrative diagnosis model.

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