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Pamela Briggs

Researcher at Northumbria University

Publications -  181
Citations -  4843

Pamela Briggs is an academic researcher from Northumbria University. The author has contributed to research in topics: Social media & The Internet. The author has an hindex of 32, co-authored 171 publications receiving 4184 citations. Previous affiliations of Pamela Briggs include University of Nottingham & University of Sheffield.

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Journal ArticleDOI

How do patients evaluate and make use of online health information

TL;DR: A staged model of trust development is proposed and tested in a longitudinal study in which fifteen women faced with decisions concerning the menopause and hormone replacement therapy (HRT) were observed while searching the Internet for information and advice over four consecutive weeks and then kept diaries over a six-month follow-up period as mentioned in this paper.
Proceedings ArticleDOI

Trust and mistrust of online health sites

TL;DR: Content analysis of concurrent verbalisations and group discussion protocols provided support for a staged model wherein design appeal predicted rejection (mistrust) and credibility of information and personalisation of content predicted selection (trust) of advice sites.

e-health

TL;DR: This one-day workshop will bring together an interdisciplinary group of researchers and practitioners to discuss how the fields of human computer interaction and applied psychology can address the issues raised by the growing domain of e-health.
Journal ArticleDOI

A framework for understanding trust factors in web-based health advice

TL;DR: A framework for understanding trust factors in web-based health advice is derived from a staged model of trust and allows predictions to be made concerning user engagement with different health websites and is validated via a series of qualitative, longitudinal studies.
Journal ArticleDOI

Trust in online advice

TL;DR: In this paper, the authors describe two studies concerned with those factors capable of influencing people's response to online advice, and propose a framework for understanding trust in online advice in which first impressions are distinguished from more detailed evaluations.