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Online Cancer Information Seeking: Applying and Extending the Comprehensive Model of Information Seeking.
Van Stee, Stephanie K; Yang, Qinghua.
Afiliação
  • Van Stee SK; a Department of Communication and Media , University of Missouri - St. Louis.
  • Yang Q; b Department of Communication Studies , Texas Christian University.
Health Commun ; 33(12): 1583-1592, 2018 12.
Article em En | MEDLINE | ID: mdl-29083231
ABSTRACT
This study applied the comprehensive model of information seeking (CMIS) to online cancer information and extended the model by incorporating an exogenous variable interest in online health information exchange with health providers. A nationally representative sample from the Health Information National Trends Survey 4 Cycle 4 was analyzed to examine the extended CMIS in predicting online cancer information seeking. Findings from a structural equation model supported most of the hypotheses derived from the CMIS, as well as the extension of the model related to interest in online health information exchange. In particular, socioeconomic status, beliefs, and interest in online health information exchange predicted utility. Utility, in turn, predicted online cancer information seeking, as did information-carrier characteristics. An unexpected but important finding from the study was the significant, direct relationship between cancer worry and online cancer information seeking. Theoretical and practical implications are discussed.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conhecimentos, Atitudes e Prática em Saúde / Comportamento de Busca de Informação / Neoplasias Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conhecimentos, Atitudes e Prática em Saúde / Comportamento de Busca de Informação / Neoplasias Idioma: En Ano de publicação: 2018 Tipo de documento: Article