Literature DB >> 12054338

Prevalence of South Australia's online health seekers.

Tracey L Bessell1, Chris A Silagy, Jeremy N Anderson, Janet E Hiller, Lloyd N Sansom.   

Abstract

OBJECTIVE: To determine the proportion of South Australians accessing online health care information, predictive characteristics of online health seekers, nature of the information sought and consumer behaviour.
METHODS: A probability-based survey of 3,027 South Australians, aged 15 years and older, as part of the Spring 2000 South Australian Health Omnibus.
RESULTS: Internet access decreases with age, while the prevalence of online health seekers is constant (26% to 28%) among people aged between 15 and 54 years. Predictive characteristics of online health seekers include gender, age, education and income. Most commonly sought information is the cause or description of disease (60%). Consumers use online health information as a second opinion (19%), discuss it with their doctor or pharmacist (16%), or change their health care management (11%).
CONCLUSIONS: The Australian prevalence of online health seekers is likely to be slightly higher than 21%. IMPLICATIONS: The Intemet can deliver preventative and clinical health information to a critical mass of Australians, but poorer and older Australians may be unable to access it.

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Year:  2002        PMID: 12054338     DOI: 10.1111/j.1467-842x.2002.tb00912.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  5 in total

1.  What Australian women want and when they want it: cervical screening testing preferences, decision-making styles and information needs.

Authors:  Mbathio Dieng; Lyndal Trevena; Robin M Turner; Monika Wadolowski; Kirsten McCaffery
Journal:  Health Expect       Date:  2011-07-04       Impact factor: 3.377

2.  Self-Reporting by Unsafe Drivers Is, with Education, More Effective than Mandatory Reporting by Doctors.

Authors:  Nathan J Elgar; Adrian J Esterman; Nick A Antic; Brian J Smith
Journal:  J Clin Sleep Med       Date:  2016-03       Impact factor: 4.062

3.  Web-based self-assessment health tools: who are the users and what is the impact of missing input information?

Authors:  Nicole Neufingerl; Mark R Cobain; Rachel S Newson
Journal:  J Med Internet Res       Date:  2014-09-26       Impact factor: 5.428

4.  Smoking cessation and the Internet: a qualitative method examining online consumer behavior.

Authors:  Genevieve Frisby; Tracey L Bessell; Ron Borland; Jeremy N Anderson
Journal:  J Med Internet Res       Date:  2002 Apr-Nov       Impact factor: 5.428

5.  European citizens' use of E-health services: a study of seven countries.

Authors:  Hege K Andreassen; Maria M Bujnowska-Fedak; Catherine E Chronaki; Roxana C Dumitru; Iveta Pudule; Silvina Santana; Henning Voss; Rolf Wynn
Journal:  BMC Public Health       Date:  2007-04-10       Impact factor: 3.295

  5 in total

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