Abstract
Over the past several decades, a marked increases in using personal health records, the government and private sectors all have encourage personal health records (PHRs) adoption. The purpose of this study was to analysis the individual perception factor based on belief theory, and provides the comment to bridge the gap between PHRs and patients. This paper will focus on the dimension of social cognition to explain the patient's health behavior. Our findings including low "perceived seriousness", low "perceived susceptibility" and "perceived barriers to act". Design for such case which had a poor perception on seriousness and susceptibility of disease, the functional of risk prediction reminder may be the first priority.From social-cognition perspective, it may have contribution to look insight into behavioral research opportunities in accelerate the adoption of PHR.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IADIS International Conference e-Health 2010, EH, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010 |
| Pages | 225-228 |
| Number of pages | 4 |
| State | Published - 2010 |
| Event | IADIS International Conference e-Health 2010, EH, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010 - Freiburg, Germany Duration: 29 07 2010 → 31 07 2010 |
Publication series
| Name | Proceedings of the IADIS International Conference e-Health 2010, EH, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010 |
|---|
Conference
| Conference | IADIS International Conference e-Health 2010, EH, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010 |
|---|---|
| Country/Territory | Germany |
| City | Freiburg |
| Period | 29/07/10 → 31/07/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Health belief model
- Personal health record
- Stroke
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