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Tytuł:
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The Impact of Treatment-Related Internet Health Information Seeking on Patient Compliance.
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Autorzy:
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Zhang Z; Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing, China.; Big Data Application on Improving Government Governance Capabilities National Engineering Laboratory, Guiyang, China.; CETC Big Data Research Institute Co., Ltd., Guiyang, China.
Yang H; Big Data Application on Improving Government Governance Capabilities National Engineering Laboratory, Guiyang, China.; CETC Big Data Research Institute Co., Ltd., Guiyang, China.
He J; Big Data Application on Improving Government Governance Capabilities National Engineering Laboratory, Guiyang, China.; CETC Big Data Research Institute Co., Ltd., Guiyang, China.
Lu X; Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing, China.
Zhang R; Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing, China.
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Źródło:
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Telemedicine journal and e-health : the official journal of the American Telemedicine Association [Telemed J E Health] 2021 May; Vol. 27 (5), pp. 513-524. Date of Electronic Publication: 2020 Sep 09.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Original Publication: Larchmont, NY : Mary Ann Liebert, Inc., c2000-
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MeSH Terms:
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Information Seeking Behavior*
Patient Compliance*
China ; Humans ; Internet ; Reproducibility of Results ; Surveys and Questionnaires
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Contributed Indexing:
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Keywords: patient compliance; regulatory focus theory; structural equation modeling; telemedicine; treatment-related internet health information seeking; trust
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Entry Date(s):
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Date Created: 20200910 Date Completed: 20210521 Latest Revision: 20210521
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Update Code:
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20240105
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DOI:
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10.1089/tmj.2020.0081
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PMID:
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32907505
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Background: Patients are increasingly using technology to seek health information, particularly on treatments. Treatment-related internet health information-seeking behavior may have impact on patients' trust in their physicians and the patient-physician relationship. Therefore, understanding the impacts of treatment-related internet health information-seeking behavior on patient-physician relationship, especially patient compliance, from the perspective of trust is important. Methods: The established research model has two independent variables (emerging and mature treatment-related internet health information seeking), two mediators (cognition- and affect-based trust), and one dependent variable (patient compliance). All variables were measured using previously validated multiple-item scales. We collected data through a web-based questionnaire survey in China and obtained 336 valid responses. The questionnaire validity rate was 89.6% (336/375), and reliability and validity were acceptable. Finally, we used confirmatory factor analysis and structural equation modeling to test the hypotheses and develop the research model. Results: Cognition- and affect-based trust had a direct positive impact on patient compliance. Cognition-based trust had a direct positive impact on affect-based trust. Mature treatment-related internet health information seeking had a significant positive impact on patient compliance through patients' cognition- and affect-based trust in their physicians. However, the emerging treatment-related internet health information seeking indicated a nonsignificant impact on patients' cognition- and affect-based trust in their physicians. Conclusions: Providing patients with access to treatment-related internet health information will not have a negative impact on the patient-physician relationship. Instead, encouraging patients to seek treatment-related health information online can improve patient compliance. Physicians can also learn much about health information related to emerging treatments to enhance their professionalism and reliability.
