改进在线健康信息搜索器类型:应用患者健康参与模型。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Wendy Macias, Mina Lee
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引用次数: 0

摘要

背景:尽管有许多关于在线健康信息搜索的定量研究结果,但对在线健康信息搜索本身的过程知之甚少。目的:本研究旨在了解成年人如何在线搜索健康信息,Macias等人的在线健康搜索者类型学是否适用于更广泛的非大学样本,并通过采用患者健康参与(PHE)模型更好地识别和理解在线健康搜索者。方法:本研究通过对11名年龄在30岁至70岁之间的参与者进行有声思考定性访谈,考察了参与在在线健康信息搜索过程中的作用。该研究应用了主题分析和基于PHE模型的定量编码方案来分析由500页有声思考逐字抄本组成的定性数据。结果:本研究发现,五种类型中的四种(比目鱼,撇脂,消化和吞食)出现了不同的搜索风格。对参与度的洞察有助于在这个样本中区分在线健康搜索者的类型。结论:用户参与维度的动态变化表明在线健康信息搜索过程是多维的。它由不同层次的认知、情感和意向反应组成,进一步扩展了PHE模型。健康科学图书馆员和健康专业人员有一个独特的机会来帮助个人更好地导航在线健康搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refining the online health information searcher typology: Applying the patient health engagement model.

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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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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