Literature DB >> 20433053

Online health information seeking behavior in Hong Kong: an exploratory study.

Yuk Yee Yan1.   

Abstract

This is an exploratory study that described the prevalence and patterns of internet health information seeking in Hong Kong. A convenient sample of 443 individuals completed the questionnaires. Only 44% (N = 195) of the respondents were identified as health surfers. Health surfers tended to be younger females (age group 20-29) and have higher education. Digital divide was evident by age and education. Professional health sites (78.0%) were the majority sites visited. Health topics searched ranged from women's/men's health to chronic diseases such as heart diseases, cancer and diabetes. Over 60% considered online health information useful, however, about 44% were uncertain about the reliability of this information. The major criteria for health websites were information from professionals and ease of understanding. The results underline the need for bridging the digital divide and the potential for pro-active use of the internet for health promotion.

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Year:  2010        PMID: 20433053     DOI: 10.1007/s10916-008-9226-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  26 in total

1.  Characteristics of online and offline health information seekers and factors that discriminate between them.

Authors:  Shelia R Cotten; Sipi S Gupta
Journal:  Soc Sci Med       Date:  2004-11       Impact factor: 4.634

2.  Seniors seeking health information need help crossing "digital divide".

Authors:  Rebecca Voelker
Journal:  JAMA       Date:  2005-03-16       Impact factor: 56.272

3.  Help seeking behavior and the Internet: a national survey.

Authors:  Michele L Ybarra; Michael Suman
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4.  New technology and old habits: The role of age as a technology chasm.

Authors:  Daniel P Lorence; Heeyoung Park
Journal:  Technol Health Care       Date:  2006       Impact factor: 1.285

5.  Searching health information via the web: Hong Kong chinese older adults' experience.

Authors:  Angela Leung; Peggy Ko; Kin Sun Chan; Iris Chi; Nelson Chow
Journal:  Public Health Nurs       Date:  2007 Mar-Apr       Impact factor: 1.462

6.  Access to information and support for health: some potential issues and solutions for an ageing population.

Authors:  Sue Capel; Sue Childs; Linda Banwell; Susan Heaford
Journal:  Health Informatics J       Date:  2007-12       Impact factor: 2.681

7.  Measuring the Relevance of Evaluation Criteria among Health Information Seekers on the Internet.

Authors:  Michael D Barnes; Christy Penrod; Brad L Neiger; Ray M Merrill; Rosemary Thackeray; Dennis L Eggett; Evan Thomas
Journal:  J Health Psychol       Date:  2003-01

8.  Use of the Internet and e-mail for health care information: results from a national survey.

Authors:  Laurence Baker; Todd H Wagner; Sara Singer; M Kate Bundorf
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

Review 9.  An evidence-based approach to interactive health communication: a challenge to medicine in the information age. Science Panel on Interactive Communication and Health.

Authors:  T N Robinson; K Patrick; T R Eng; D Gustafson
Journal:  JAMA       Date:  1998-10-14       Impact factor: 56.272

10.  Internet intervention for community elders: process and feasibility.

Authors:  Betty L Chang
Journal:  West J Nurs Res       Date:  2004-06       Impact factor: 1.967

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  17 in total

1.  Social determinants of health information seeking among Chinese adults in Hong Kong.

Authors:  Man Ping Wang; Kasisomayajula Viswanath; Tai Hing Lam; Xin Wang; Sophia S Chan
Journal:  PLoS One       Date:  2013-08-23       Impact factor: 3.240

2.  Dr Google and the consumer: a qualitative study exploring the navigational needs and online health information-seeking behaviors of consumers with chronic health conditions.

Authors:  Kenneth Lee; Kreshnik Hoti; Jeffery David Hughes; Lynne Emmerton
Journal:  J Med Internet Res       Date:  2014-12-02       Impact factor: 5.428

3.  Information-seeking behavior of cardiovascular disease patients in Isfahan University of Medical Sciences hospitals.

Authors:  Maryam Zamani; Mohammad Reza Soleymani; Mina Afshar; Leila Shahrzadi; Akbar Hasan Zadeh
Journal:  J Educ Health Promot       Date:  2014-08-28

4.  The Relation Between Caregivers' Multiliterate Reading Habits and Their Children's Oral Health Status.

Authors:  Divya S Parthasarathy; Susan M Bridges; Colman Pj McGrath; Terry Kf Au; Hai Ming Wong; Cynthia Ky Yiu
Journal:  Interact J Med Res       Date:  2014-09-18

5.  Consumer Use of "Dr Google": A Survey on Health Information-Seeking Behaviors and Navigational Needs.

Authors:  Kenneth Lee; Kreshnik Hoti; Jeffery David Hughes; Lynne M Emmerton
Journal:  J Med Internet Res       Date:  2015-12-29       Impact factor: 5.428

6.  How, When and Why People Seek Health Information Online: Qualitative Study in Hong Kong.

Authors:  Joanna Tw Chu; Man Ping Wang; Chen Shen; Kasisomayajula Viswanath; Tai Hing Lam; Sophia Siu Chee Chan
Journal:  Interact J Med Res       Date:  2017-12-12

7.  Quality evaluation of Persian nutrition and diet therapy websites.

Authors:  Zahra Gholizadeh; Ahmad Papi; Hasan Ashrafi-Rizi; Leila Shahrzadi; Akbar Hasanzadeh
Journal:  J Educ Health Promot       Date:  2017-06-05

8.  Determinants Impacting User Behavior towards Emergency Use Intentions of m-Health Services in Taiwan.

Authors:  Wan-I Lee; Hsin-Pin Fu; Nelio Mendoza; Tzu-Yu Liu
Journal:  Healthcare (Basel)       Date:  2021-05-03

Review 9.  Low health literacy and evaluation of online health information: a systematic review of the literature.

Authors:  Nicola Diviani; Bas van den Putte; Stefano Giani; Julia Cm van Weert
Journal:  J Med Internet Res       Date:  2015-05-07       Impact factor: 5.428

10.  Digital inequalities of family life information seeking and family well-being among Chinese adults in Hong Kong: a population survey.

Authors:  Man Ping Wang; Xin Wang; Kasisomayajula Viswanath; Alice Wan; Tai Hing Lam; Sophia S Chan
Journal:  J Med Internet Res       Date:  2014-10-03       Impact factor: 5.428

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