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Refining the online health information searcher typology: Applying the patient health engagement model.
Macias, Wendy; Lee, Mina.
Afiliação
  • Macias W; Department of Strategic Communication, Texas Christian University, Fort Worth, Texas, USA.
  • Lee M; Department of Advertising and Public Relations, School of Media · Advertising, Kookmin University, Seoul, South Korea.
Health Info Libr J ; 2023 May 10.
Article em En | MEDLINE | ID: mdl-37162154
BACKGROUND: Despite numerous quantitative findings on online health information seeking, little is known about the process of online health information seeking itself. OBJECTIVES: The study aimed to learn about how adults search for health information online, whether Macias et al.'s Online Health Searcher Typology applies to a broader, non-university sample, and to better identify and understand online health searchers by employing the Patient Health Engagement (PHE) model. METHODS: This study examined the role of engagement in online health information search processes using think-aloud qualitative interviews with 11 participants in their 30s to 70s. The research applied both thematic analysis and a quantitative coding scheme based on the PHE model to analyse the qualitative data that consists of 500 pages of think-aloud verbatim transcripts. RESULTS: This study found that four (flounderer, skimmer, digester and devourer) out of five types emerged as distinct search styles. Insights into engagement helped distinguish online health searcher types in this sample. CONCLUSION: The dynamics of the engagement dimension indicate that the online health information search process is multi-dimensional. It is comprised of different levels of cognitive, emotional, and conative responses, further extending the PHE model. Health science librarians and health professionals have a unique opportunity to help individuals better navigate online health search.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Health Info Libr J Assunto da revista: INFORMATICA MEDICA / SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Health Info Libr J Assunto da revista: INFORMATICA MEDICA / SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos