Online Health Information Seeking and eHealth Literacy Among Patients Attending a Primary Care Clinic in Hong Kong: A Cross-Sectional Survey

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Abstract

Background

Previous studies have suggested that patients’ online health information seeking affects their medical consultations and patient-doctor relationships. An up-to-date picture of patients’ online health information-seeking behaviors can inform and prepare frontline health care professionals to collaborate, facilitate, or empower their patients to access and manage health information found online.

Objective

This study explores the prevalence, patterns, and predictors of online health information-seeking behaviors among primary care patients in Hong Kong, and the relations between online health information seeking and electronic health (eHealth) literacy.

Methods

Patients attending a university primary care clinic in Hong Kong were asked to complete a questionnaire survey on their demographic backgrounds; health status; frequency and pattern of online health information seeking; contents, sources, and reasons for online health information seeking; and their eHealth literacy. eHealth literacy was measured by the validated eHealth Literacy Scale (eHEALS). Regression analyses explored various demographic and behavioral predictors to online health information seeking, and predictors to eHealth literacy.

Results

In all, 97.32% (1162/1194) respondents used the internet, of which 87.44% (1016/1162) had used the internet to find health information. Most respondents (65.97%, 665/1008) searched once monthly or more. Few (26.88%, 271/1008) asked their doctor about health information found online, but most doctors (56.1%, 152/271) showed little or no interest at all. The most sought topic was symptom (81.59%, 829/1016), the top reason was noticing new symptoms or change in health (70.08%, 712/1016), the most popular source was online encyclopedia (69.98%, 711/1016), and the top reason for choosing a source was convenience (55.41%, 563/1016). Poisson regression analysis identified high eHEALS score, fair or poor self-rated health, having a chronic medical condition, and using the internet several times a day as significant predictors of online health information seeking. Multiple regression analysis identified lower age, better self-rated health, more frequent internet use, more frequent online health information seeking, and more types of health information sought as significant predictors to higher eHealth literacy.

Conclusions

Online health information seeking is prevalent among primary care patients in Hong Kong, but only a minority shared the information with doctors. Websites were chosen more for convenience than for accuracy or authoritativeness. Doctors should recognize patients’ online health information-seeking behavior, and facilitate and empower them to search for high-quality online health information.

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Most cited references 17

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Social Media Use in the United States: Implications for Health Communication

Wen-ying Chou, Yvonne M Hunt, Ellen Beckjord … (2009)

Background Given the rapid changes in the communication landscape brought about by participative Internet use and social media, it is important to develop a better understanding of these technologies and their impact on health communication. The first step in this effort is to identify the characteristics of current social media users. Up-to-date reporting of current social media use will help monitor the growth of social media and inform health promotion/communication efforts aiming to effectively utilize social media. Objective The purpose of the study is to identify the sociodemographic and health-related factors associated with current adult social media users in the United States. Methods Data came from the 2007 iteration of the Health Information National Trends Study (HINTS, N = 7674). HINTS is a nationally representative cross-sectional survey on health-related communication trends and practices. Survey respondents who reported having accessed the Internet (N = 5078) were asked whether, over the past year, they had (1) participated in an online support group, (2) written in a blog, (3) visited a social networking site. Bivariate and multivariate logistic regression analyses were conducted to identify predictors of each type of social media use. Results Approximately 69% of US adults reported having access to the Internet in 2007. Among Internet users, 5% participated in an online support group, 7% reported blogging, and 23% used a social networking site. Multivariate analysis found that younger age was the only significant predictor of blogging and social networking site participation; a statistically significant linear relationship was observed, with younger categories reporting more frequent use. Younger age, poorer subjective health, and a personal cancer experience predicted support group participation. In general, social media are penetrating the US population independent of education, race/ethnicity, or health care access. Conclusions Recent growth of social media is not uniformly distributed across age groups; therefore, health communication programs utilizing social media must first consider the age of the targeted population to help ensure that messages reach the intended audience. While racial/ethnic and health status–related disparities exist in Internet access, among those with Internet access, these characteristics do not affect social media use. This finding suggests that the new technologies, represented by social media, may be changing the communication pattern throughout the United States.

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Mapping Publication Trends and Identifying Hot Spots of Research on Internet Health Information Seeking Behavior: A Quantitative and Co-Word Biclustering Analysis

Fan Li, Min Li, Peng Guan … (2015)

Background The Internet has become an established source of health information for people seeking health information. In recent years, research on the health information seeking behavior of Internet users has become an increasingly important scholarly focus. However, there have been no long-term bibliometric studies to date on Internet health information seeking behavior. Objective The purpose of this study was to map publication trends and explore research hot spots of Internet health information seeking behavior. Methods A bibliometric analysis based on PubMed was conducted to investigate the publication trends of research on Internet health information seeking behavior. For the included publications, the annual publication number, the distribution of countries, authors, languages, journals, and annual distribution of highly frequent major MeSH (Medical Subject Headings) terms were determined. Furthermore, co-word biclustering analysis of highly frequent major MeSH terms was utilized to detect the hot spots in this field. Results A total of 533 publications were included. The research output was gradually increasing. There were five authors who published four or more articles individually. A total of 271 included publications (50.8%) were written by authors from the United States, and 516 of the 533 articles (96.8%) were published in English. The eight most active journals published 34.1% (182/533) of the publications on this topic. Ten research hot spots were found: (1) behavior of Internet health information seeking about HIV infection or sexually transmitted diseases, (2) Internet health information seeking behavior of students, (3) behavior of Internet health information seeking via mobile phone and its apps, (4) physicians’ utilization of Internet medical resources, (5) utilization of social media by parents, (6) Internet health information seeking behavior of patients with cancer (mainly breast cancer), (7) trust in or satisfaction with Web-based health information by consumers, (8) interaction between Internet utilization and physician-patient communication or relationship, (9) preference and computer literacy of people using search engines or other Web-based systems, and (10) attitude of people (especially adolescents) when seeking health information via the Internet. Conclusions The 10 major research hot spots could provide some hints for researchers when launching new projects. The output of research on Internet health information seeking behavior is gradually increasing. Compared to the United States, the relatively small number of publications indexed by PubMed from other developed and developing countries indicates to some extent that the field might be still underdeveloped in many countries. More studies on Internet health information seeking behavior could give some references for health information providers.

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Is the SF-12 version 2 Health Survey a valid and equivalent substitute for the SF-36 version 2 Health Survey for the Chinese?

Daniel Fong, Howard Huang, Elegance Lam … (2013)

The scoring algorithm of the 12-item Short-Form Health Survey (SF-12) was revised in the second version (SF-12v2), but information on its psychometric properties is lacking. This study determined whether the SF-12v2 was a valid and equivalent substitute for the SF-36v2 Health Survey (version 2) for the Chinese. A total of 2410 Chinese adults in Hong Kong completed the SF-36 Health Survey by telephone. The SF-12v2 data were extracted from the SF-36 data. Internal consistency was assessed by Cronbach's alpha, and test-retest reliabilities were evaluated by intraclass correlation. Criterion validity and equivalence were assessed using the SF-36v2 scores as a gold standard. Construct validity and sensitivity were assessed by known-group comparison. Internal consistency and test-retest reliabilities were good (range 0.67-0.82) for all except three scales. The SF-12v2 summary scores explained >80% of the total variances of the SF-36v2 summary scores. Construct validity and sensitivity were confirmed by significantly lower SF-12v2 scores in people with chronic diseases than those without. Effect size differences were less than 0.3 and relative validities were greater than 0.7 between SF-12v2 and SF-36v2 scores for different groups. The SF-12v2 was valid, reliable and sensitive for the Chinese. It is an equivalent substitute for the SF-36v2 for the summary scales. © 2011 Blackwell Publishing Ltd.

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Author and article information

Contributors

David Ka-Ki Wong:

University Health ServiceThe University of Hong Kong2/F Meng Wah ComplexThe University of Hong KongPokfulam,China (Hong Kong)852 39172502852 25481430dkkw@hku.hk

ORCID: http://orcid.org/0000-0002-9792-4781

Journal

Journal ID (nlm-ta): J Med Internet Res

Journal ID (iso-abbrev): J. Med. Internet Res

Journal ID (publisher-id): JMIR

Title: Journal of Medical Internet Research

Publisher: JMIR Publications (Toronto, Canada )

ISSN (Print): 1439-4456

ISSN (Electronic): 1438-8871

Publication date Collection: March 2019

Publication date (Electronic): 27 March 2019

Volume: 21

Issue: 3

Electronic Location Identifier: e10831

Affiliations

[1 ] University Health Service The University of Hong Kong Pokfulam China (Hong Kong)

Author notes

Corresponding Author: David Ka-Ki Wong dkkw@ 123456hku.hk

Author information

David Ka-Ki Wong http://orcid.org/0000-0002-9792-4781

Man-Kuen Cheung http://orcid.org/0000-0002-6907-9787

Article

Publisher ID: v21i3e10831

DOI: 10.2196/10831

PMC ID: 6456826

PubMed ID: 30916666

SO-VID: 1ee5d044-7e2e-43d0-8afe-ae52dd072126

License:

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

Date received : 23 April 2018

Date revision requested : 28 August 2018

Date revision received : 30 October 2018

Date accepted : 27 January 2019

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