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Patient Experiences of Diabetes eHealth

Patient Experiences of Diabetes eHealth

Peggy Gregory, Paula Byrne, Mark Gabbay
Copyright: © 2014 |Volume: 6 |Issue: 1 |Pages: 17
ISSN: 1941-6253|EISSN: 1941-6261|EISBN13: 9781466656710|DOI: 10.4018/ijskd.2014010101
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MLA

Gregory, Peggy, et al. "Patient Experiences of Diabetes eHealth." IJSKD vol.6, no.1 2014: pp.1-17. http://doi.org/10.4018/ijskd.2014010101

APA

Gregory, P., Byrne, P., & Gabbay, M. (2014). Patient Experiences of Diabetes eHealth. International Journal of Sociotechnology and Knowledge Development (IJSKD), 6(1), 1-17. http://doi.org/10.4018/ijskd.2014010101

Chicago

Gregory, Peggy, Paula Byrne, and Mark Gabbay. "Patient Experiences of Diabetes eHealth," International Journal of Sociotechnology and Knowledge Development (IJSKD) 6, no.1: 1-17. http://doi.org/10.4018/ijskd.2014010101

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Abstract

The authors report results from a qualitative study designed to investigate patients' use and perceptions of a diabetes eHealth system. 38 patients at a primary care practice in Northern England used a system for six months and were interviewed three times. Facilities provided were access to information; blood glucose upload and sharing; target setting; and communication with health practitioners and other patients. Results showed a variety of ‘frequency of use' and ‘features used' patterns, including non-use. Barriers included difficulty accepting diabetes, technical problems, and health or personal problems; facilitators included a positive approach to diabetes, being an established home computer user and having no additional health or personal problems. A model is presented showing how the system crosses the boundary between self-management and support seeking. The authors theorise that the system created boundary objects that take on different meanings for the actors that use them; these need to be meaningful, acceptable and engaging if the system is to be used. The authors conclude that eHealth systems would be improved by using iterative co-design and evaluation techniques to enable the capture of heterogeneous and unanticipated system use.

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