Literature DB >> 28513005

Effects of argument quality, source credibility and self-reported diabetes knowledge on message attitudes: an experiment using diabetes related messages.

Tung-Cheng Lin1, Lih-Lian Hwang2, Yung-Jye Lai3.   

Abstract

BACKGROUND: Previous studies have reported that credibility and content (argument quality) are the most critical factors affecting the quality of health information and its acceptance and use; however, this causal relationship merits further investigation in the context of health education. Moreover, message recipients' prior knowledge may moderate these relationships.
OBJECTIVES: This study used the elaboration likelihood model to determine the main effects of argument quality, source credibility and the moderating effect of self-reported diabetes knowledge on message attitudes.
METHODS: A between-subjects experimental design using an educational message concerning diabetes for manipulation was applied to validate the effects empirically. A total of 181 participants without diabetes were recruited from the Department of Health, Taipei City Government. Four group messages were manipulated in terms of argument quality (high and low) × source credibility (high and low).
RESULTS: Argument quality and source credibility of health information significantly influenced the attitude of message recipients. The participants with high self-reported knowledge participants exhibited significant disapproval for messages with low argument quality.
CONCLUSION: Effective health information should provide objective descriptions and cite reliable sources; in addition, it should provide accurate, customised messages for recipients who have high background knowledge level and ability to discern message quality.
© 2017 Health Libraries Group Health Information & Libraries Journal.

Entities:  

Keywords:  Consumer health information; decision support; information quality.

Year:  2017        PMID: 28513005     DOI: 10.1111/hir.12181

Source DB:  PubMed          Journal:  Health Info Libr J        ISSN: 1471-1834


  2 in total

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Authors:  Fei Jiang; Yongmei Liu; Junhua Hu; Xiaohong Chen
Journal:  J Med Internet Res       Date:  2022-01-11       Impact factor: 5.428

2.  Using a computer-tailored COPD screening assessment to promote advice-seeking behaviors.

Authors:  Samantha R Paige; Hattie Wilczewski; Thomas B Casale; Brian E Bunnell
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  2 in total

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