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      Characterizing the Processes for Navigating Internet Health Information Using Real-Time Observations: A Mixed-Methods Approach

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          Abstract

          Background

          Little is known about the processes people use to find health-related information on the Internet or the individual characteristics that shape selection of information-seeking approaches.

          Objective

          Our aim was to describe the processes by which users navigate the Internet for information about a hypothetical acute illness and to identify individual characteristics predictive of their information-seeking strategies.

          Methods

          Study participants were recruited from public settings and agencies. Interested individuals were screened for eligibility using an online questionnaire. Participants listened to one of two clinical scenarios—consistent with influenza or bacterial meningitis—and then conducted an Internet search. Screen-capture video software captured Internet search mouse clicks and keystrokes. Each step of the search was coded as hypothesis testing (etiology), evidence gathering (symptoms), or action/treatment seeking (behavior). The coded steps were used to form a step-by-step pattern of each participant’s information-seeking process. A total of 78 Internet health information seekers ranging from 21-35 years of age and who experienced barriers to accessing health care services participated.

          Results

          We identified 27 unique patterns of information seeking, which were grouped into four overarching classifications based on the number of steps taken during the search, whether a pattern consisted of developing a hypothesis and exploring symptoms before ending the search or searching an action/treatment, and whether a pattern ended with action/treatment seeking. Applying dual-processing theory, we categorized the four overarching pattern classifications as either System 1 (41%, 32/78), unconscious, rapid, automatic, and high capacity processing; or System 2 (59%, 46/78), conscious, slow, and deliberative processing. Using multivariate regression, we found that System 2 processing was associated with higher education and younger age.

          Conclusions

          We identified and classified two approaches to processing Internet health information. System 2 processing, a methodical approach, most resembles the strategies for information processing that have been found in other studies to be associated with higher-quality decisions. We conclude that the quality of Internet health-information seeking could be improved through consumer education on methodical Internet navigation strategies and the incorporation of decision aids into health information websites.

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          Most cited references41

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          Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research

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            Health information on the Internet: accessibility, quality, and readability in English and Spanish.

            Despite the substantial amount of health-related information available on the Internet, little is known about the accessibility, quality, and reading grade level of that health information. To evaluate health information on breast cancer, depression, obesity, and childhood asthma available through English- and Spanish-language search engines and Web sites. Three unique studies were performed from July 2000 through December 2000. Accessibility of 14 search engines was assessed using a structured search experiment. Quality of 25 health Web sites and content provided by 1 search engine was evaluated by 34 physicians using structured implicit review (interrater reliability >0.90). The reading grade level of text selected for structured implicit review was established using the Fry Readability Graph method. For the accessibility study, proportion of links leading to relevant content; for quality, coverage and accuracy of key clinical elements; and grade level reading formulas. Less than one quarter of the search engine's first pages of links led to relevant content (20% of English and 12% of Spanish). On average, 45% of the clinical elements on English- and 22% on Spanish-language Web sites were more than minimally covered and completely accurate and 24% of the clinical elements on English- and 53% on Spanish-language Web sites were not covered at all. All English and 86% of Spanish Web sites required high school level or greater reading ability. Accessing health information using search engines and simple search terms is not efficient. Coverage of key information on English- and Spanish-language Web sites is poor and inconsistent, although the accuracy of the information provided is generally good. High reading levels are required to comprehend Web-based health information.
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              Health information seeking: a review of measures and methods.

              Outlines the methods and measures commonly used to study active health information seeking and prescribes important considerations in advancing the study of patient information seeking. A systematic review of the literature from 1978 to 2010. A single bibliometric database, PsychInfo, identified 648 articles of health information seeking. The 129 articles included in the review were coded by type of sample, measures (n=12) utilized to study health information seeking, and types of study methods (n=5). A majority of studies used non-clinical samples and measured general health information seeking (i.e., whether the participant engaged in a search for health information) through cross-sectional study designs. There are varying samples, measures, and designs used to identify those who do or do not seek health information. Future research should look into how health information seeking influences health management and should uncover the social and relational functions of health information seeking using more advanced (and less routinely applied) measures and methods of studying health information seeking. More people are actively searching for health information and health providers should address this in their discussions with patients. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
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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
                July 2015
                20 July 2015
                : 17
                : 7
                : e173
                Affiliations
                [1] 1Betty Irene Moore School of Nursing University of California, Davis Sacramento, CAUnited States
                [2] 2Department of Kinesiology and Health Science California State University, Sacramento Sacramento, CAUnited States
                [3] 3Department of Internal Medicine University of California, Davis Sacramento, CAUnited States
                [4] 4Department of Sociology University of California, Davis Davis, CAUnited States
                [5] 5Department of Public Health Sciences, Division of Biostatistics University of California, Davis Sacramento, CAUnited States
                [6] 6Department of Communication University of California, Davis Davis, CAUnited States
                [7] 7Department of Public Health Sciences University of California, Davis Davis, CAUnited States
                [8] 8Department of Infectious Disease University of California, Davis Sacramento, CAUnited States
                Author notes
                Corresponding Author: Susan L Perez susan.perez@ 123456gmail.com
                Author information
                http://orcid.org/0000-0002-3580-5197
                http://orcid.org/0000-0001-8591-6875
                http://orcid.org/0000-0003-1734-2755
                http://orcid.org/0000-0001-5062-5082
                http://orcid.org/0000-0002-7801-3421
                http://orcid.org/0000-0001-8753-1370
                http://orcid.org/0000-0001-7726-9612
                http://orcid.org/0000-0001-5575-529X
                Article
                v17i7e173
                10.2196/jmir.3945
                4527005
                26194787
                39a64dec-6a9b-48f8-8ca3-3ca05664632b
                ©Susan L Perez, Debora A Paterniti, Machelle Wilson, Robert A Bell, Man Shan Chan, Chloe C Villareal, Hien Huy Nguyen, Richard L Kravitz. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.07.2015.

                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
                : 14 October 2014
                : 23 March 2015
                : 1 May 2015
                : 24 May 2015
                Categories
                Original Paper
                Original Paper

                Medicine
                dual processing,information seeking,internet search,health information
                Medicine
                dual processing, information seeking, internet search, health information

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