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      Revisiting Effective Communication Between Patients and Physicians: Cross-Sectional Questionnaire Study Comparing Text-Based Electronic Versus Face-to-Face Communication

      research-article
      , PhD 1 , , , PhD 2
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      telemedicine, telemedicine, eHealth, text telecommunication, health communication

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          Abstract

          Background

          Research has shown that text-based communication via telemedicine will continue to be a mode of communication that patients and physicians use in the future. However, very few studies have examined patients’ perspectives regarding the increased use of text-based communication versus face-to-face (FtF) communication.

          Objective

          This study aimed to understand and compare the potential differences in patients’ perceptions of communication effectiveness with their physicians through different modes of communication.

          Methods

          We conducted a web-based survey of 345 patients to explore the impact of different channels on effective communication and perceived health behavior and outcomes. We tested the impact of patients’ perceived communication and media effectiveness on their self-efficacy, communication satisfaction, and perceived health outcomes, separately for text-based information technology (IT)–mediated communication and FtF communication. Furthermore, we conducted a group comparison to identify significant differences across these 2 groups.

          Results

          We found no significant differences between patients’ perceptions of effective communication using either IT-mediated communication or FtF communication with their physicians. However, we found significant differences in patients’ perception of media effectiveness: patients perceived FtF communication to be a more favorable medium ( P=.02). Interestingly, we found no significant difference in terms of benefits ( P=.09) and success ( P=.08) of IT-mediated communication versus FtF communication.

          Conclusions

          The results of this study imply that patients can achieve the same level of communication effectiveness with their physicians using IT-mediated communication as they would in comparable FtF interactions, but patients view FtF communication to be a more favorable medium than IT-mediated communication.

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          Most cited references38

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          Interpersonal Effects in Computer-Mediated Interaction: A Relational Perspective

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            Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems

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              Power and sample size calculations for studies involving linear regression.

              This article presents methods for sample size and power calculations for studies involving linear regression. These approaches are applicable to clinical trials designed to detect a regression slope of a given magnitude or to studies that test whether the slopes or intercepts of two independent regression lines differ by a given amount. The investigator may either specify the values of the independent (x) variable(s) of the regression line(s) or determine them observationally when the study is performed. In the latter case, the investigator must estimate the standard deviation(s) of the independent variable(s). This study gives examples using this method for both experimental and observational study designs. Cohen's method of power calculations for multiple linear regression models is also discussed and contrasted with the methods of this study. We have posted a computer program to perform these and other sample size calculations on the Internet (see http://www.mc.vanderbilt.edu/prevmed/psintro+ ++.htm). This program can determine the sample size needed to detect a specified alternative hypothesis with the required power, the power with which a specific alternative hypothesis can be detected with a given sample size, or the specific alternative hypotheses that can be detected with a given power and sample size. Context-specific help messages available on request make the use of this software largely self-explanatory.
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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 (Toronto, Canada )
                1439-4456
                1438-8871
                May 2020
                13 May 2020
                : 22
                : 5
                : e16965
                Affiliations
                [1 ] Department of Information Systems and Business Analytics Florida International University Miami, FL United States
                [2 ] Department of Communication Florida International University Miami, FL United States
                Author notes
                Corresponding Author: Tala Mirzaei tmirzaei@ 123456fiu.edu
                Author information
                https://orcid.org/0000-0002-4399-5832
                https://orcid.org/0000-0003-0822-0983
                Article
                v22i5e16965
                10.2196/16965
                7254277
                32401213
                4fbdb6cc-3715-479f-b5c6-9908bea3375e
                ©Tala Mirzaei, Nicole Kashian. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.05.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), 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
                : 7 November 2019
                : 21 January 2020
                : 30 January 2020
                : 7 February 2020
                Categories
                Original Paper
                Original Paper

                Medicine
                telemedicine,ehealth,text telecommunication,health communication
                Medicine
                telemedicine, ehealth, text telecommunication, health communication

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