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A semi-automated approach for analyzing collages to inform the design of a family health information management system for Hispanic dementia caregivers.
Woollen, Janet; Scott, Robert; Lucero, Robert; Bakken, Suzanne.
Afiliação
  • Woollen J; Department of Biomedical Informatics, Columbia University, New York, NY, United States.
  • Scott R; Columbia University Libraries, New York, NY, United States.
  • Lucero R; College of Nursing, University of Florida, Gainesville, FL, United States.
  • Bakken S; Department of Biomedical Informatics, Columbia University, New York, NY, United States; School of Nursing, Columbia University, New York, NY, United States. Electronic address: sbh22@cumc.columbia.edu.
J Biomed Inform ; 95: 103225, 2019 07.
Article em En | MEDLINE | ID: mdl-31195101
ABSTRACT
Culturally- and linguistically-tailored health communication is needed for vulnerable populations to manage their health and the health of their families. This presents a significant design challenge. The use of collages is an increasingly popular technique with the flexibility to capture the needs and experiences of individuals with various cultural and language preferences. Collage analysis has typically remained qualitative in nature. We introduce a novel, objective, semi-automated approach that enhances collage analysis to elucidate pattern differences that may not be detectable by natural perception. We present a case scenario of collage analysis based on the expressed experience and self-management needs of Hispanic dementia caregivers (n = 24). We demonstrate how our innovative approach may reveal cultural differences between language groups that could have otherwise been missed using traditional techniques.
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Texto completo: 1 Temas: ECOS / Gestao Bases de dados: MEDLINE Assunto principal: Saúde da Família / Cuidadores / Demência / Gestão da Informação em Saúde / Visualização de Dados Tipo de estudo: Qualitative_research Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Temas: ECOS / Gestao Bases de dados: MEDLINE Assunto principal: Saúde da Família / Cuidadores / Demência / Gestão da Informação em Saúde / Visualização de Dados Tipo de estudo: Qualitative_research Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos