온라인 채널별 건강정보 검색에 영향을 미치는 요인
Factors affecting online health information seeking by channels
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다운로드
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참고문헌
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초록
Objectives: This study aims to examine associations between the sociodemographics, physical disease history, perceived health status, trust in online health information, and self-efficacy for online health information with online health information seeking behaviors by channels. Methods: Seven hundred and ninety Internet users aged 20 years or more completed a web-based survey exploring the sociodemographics, physical disease history, perceived health status, trust, self-efficacy, and online health information seeking behaviors. We performed multiple linear regression analyses to test the associations between variables. Results: The trust of health information provided by government organization and healthcare professionals was high, but the actual use of websites was low and there was a difference between trust and use. Online health information seeking behaviors were associated with sex, age, education, income, marital status, physical disease history, and perceived health status, depending on the channel. In addition, trust and self-efficacy for online health information were found to be significant factors in all 10 channels. Conclusions: It is necessary to increase the health potential of all online health information consumers by developing and applying an intervention strategy to improve the trust and self - efficacy for online health information while delivering messages focused on the target population for each channel.
Abstract
Objectives: This study aims to examine associations between the sociodemographics, physical disease history, perceived health status, trust in online health information, and self-efficacy for online health information with online health information seeking behaviors by channels. Methods: Seven hundred and ninety Internet users aged 20 years or more completed a web-based survey exploring the sociodemographics, physical disease history, perceived health status, trust, self-efficacy, and online health information seeking behaviors. We performed multiple linear regression analyses to test the associations between variables. Results: The trust of health information provided by government organization and healthcare professionals was high, but the actual use of websites was low and there was a difference between trust and use. Online health information seeking behaviors were associated with sex, age, education, income, marital status, physical disease history, and perceived health status, depending on the channel. In addition, trust and self-efficacy for online health information were found to be significant factors in all 10 channels. Conclusions: It is necessary to increase the health potential of all online health information consumers by developing and applying an intervention strategy to improve the trust and self - efficacy for online health information while delivering messages focused on the target population for each channel.
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