Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Modeling Patient Engagement in Peer-to-Peer Healthcare
AU - Sillence, Elizabeth
AU - Hardy, Claire
AU - Harris, Peter R.
AU - Briggs, Pam
PY - 2014/4
Y1 - 2014/4
N2 - Patients now turn to other patients online for health information and advice in a phenomenon known as peer-to-peer healthcare. This paper describes a model of patients' peer-to-peer engagement, based upon qualitative studies of three patient or carer groups searching for online information and advice from their health peers. We describe a three-phase process through which patients engage with peer experience (PEx). In phase I (gating) patients determine the suitability and trustworthiness of the material they encounter; in phase II (engagement) they search out information, support and/or advice from others with similar or relevant experience; and in phase III (evaluation) they make judgments about the costs and benefits of engaging with particular websites in the longer term. This model provides a useful framework for understanding web based interactions in different patient groups.
AB - Patients now turn to other patients online for health information and advice in a phenomenon known as peer-to-peer healthcare. This paper describes a model of patients' peer-to-peer engagement, based upon qualitative studies of three patient or carer groups searching for online information and advice from their health peers. We describe a three-phase process through which patients engage with peer experience (PEx). In phase I (gating) patients determine the suitability and trustworthiness of the material they encounter; in phase II (engagement) they search out information, support and/or advice from others with similar or relevant experience; and in phase III (evaluation) they make judgments about the costs and benefits of engaging with particular websites in the longer term. This model provides a useful framework for understanding web based interactions in different patient groups.
U2 - 10.1145/2567948.2576937
DO - 10.1145/2567948.2576937
M3 - Conference contribution/Paper
SN - 9781450327459
SP - 481
EP - 486
BT - Proceedings of the 23rd International Conference on World Wide Web
PB - ACM
ER -