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      The Impact of Internet Health Information on Patient Compliance: A Research Model and an Empirical Study

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          Abstract

          Background

          Patients have been increasingly seeking and using Internet health information to become more active in managing their own health in a partnership with their physicians. This trend has both positive and negative effects on the interactions between patients and their physicians. Therefore, it is important to understand the impact that the increasing use of Internet health information has on the patient-physician relationship and patients’ compliance with their treatment regimens.

          Objective

          This study examines the impact of patients’ use of Internet health information on various elements that characterize the interactions between a patient and her/his physician through a theoretical model based on principal-agent theory and the information asymmetry perspective.

          Methods

          A survey-based study consisting of 225 participants was used to validate a model through various statistical techniques. A full assessment of the measurement model and structural model was completed in addition to relevant post hoc analyses.

          Results

          This research revealed that both patient-physician concordance and perceived information asymmetry have significant effects on patient compliance, with patient-physician concordance exhibiting a considerably stronger relationship. Additionally, both physician quality and Internet health information quality have significant effects on patient-physician concordance, with physician quality exhibiting a much stronger relationship. Finally, only physician quality was found to have a significant impact on perceived information asymmetry, whereas Internet health information quality had no impact on perceived information asymmetry.

          Conclusions

          Overall, this study found that physicians can relax regarding their fears concerning patient use of Internet health information because physician quality has the greatest impact on patients and their physician coming to an agreement on their medical situation and recommended treatment regimen as well as patient’s compliance with their physician’s advice when compared to the impact that Internet health information quality has on these same variables. The findings also indicate that agreement between the patient and physician on the medical situation and treatment is much more important to compliance than the perceived information gap between the patient and physician (ie, the physician having a higher level of information in comparison to the patient). In addition, the level of agreement between a patient and their physician regarding the medical situation is more reliant on the perceived quality of their physician than on the perceived quality of Internet health information used. This research found that only the perceived quality of the physician has a significant relationship with the perceived information gap between the patient and their physician and the quality of the Internet health information has no relationship with this perceived information gap.

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          Most cited references72

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          Multivariate Data Analysis

          For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques. :Pearson New International Edition.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications Inc. (Toronto, Canada )
                1439-4456
                1438-8871
                June 2015
                11 June 2015
                : 17
                : 6
                : e143
                Affiliations
                [1] 1Pilon School of Business Sheridan College Mississauga, ONCanada
                [2] 2DeGroote School of Business Information Systems Area McMaster University Hamilton, ONCanada
                Author notes
                Corresponding Author: John Laugesen john.laugesen@ 123456sheridancollege.ca
                Author information
                http://orcid.org/0000-0002-3042-4205
                http://orcid.org/0000-0002-5902-1717
                http://orcid.org/0000-0002-8388-8433
                Article
                v17i6e143
                10.2196/jmir.4333
                4526934
                26068214
                07cbdce6-a4e2-480a-94fd-0271459f69df
                ©John Laugesen, Khaled Hassanein, Yufei Yuan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.06.2015.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 12 February 2015
                : 07 March 2015
                : 17 April 2015
                : 07 May 2015
                Categories
                Original Paper
                Original Paper

                Medicine
                internet health information,information asymmetry,patient compliance,patient-physician concordance,physician quality,consumer health

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