Sources of discovery, reasons for registration, and expectations of an internet-based register for multiple sclerosis: Visualisations and explorations of word uses and contexts

International Journal of Healthcare Information Systems and Informatics

Volumn 7, Issue 3, 2012, Pages 27-43

  Osborne, Lisa A ^a   Noble, J Gareth ^a   Lockhart Jones, Hazel M ^a   Middleton, Rodden M ^a   Thompson, Simon ^a   Maramba, Inocencio D C ^a   Jones, Kerina H ^a   Ford, David V ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Content analysis; Discovery sources; Expectations; Healthcare informatics; Internet registers; Multiple sclerosis; Qualitative analysis; Registration motivations; Word cloud

Indexed keywords

CONTENT ANALYSIS; EXPECTATIONS; HEALTH CARE INFORMATICS; INTERNET-REGISTERS; MULTIPLE SCLEROSIS; QUALITATIVE ANALYSIS;

DATA MINING; INFORMATION SCIENCE; MOTIVATION;

INTERNET;

EID: 84864427404     PISSN: 15553396     EISSN: 1555340X     Source Type: Journal    
DOI: 10.4018/jhisi.2012070103     Document Type: Article

References (26)

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
2. Atreja, A., Mehta, N., Miller, D., Moore, S., Nichols, K., Miller, H., & Harris, C. M. (2005). One size does not fit all: Using qualitative methods to inform the development of an Internet portal for multiple sclerosis patients. In Proceedings of the Annual Symposium of the American Medical Informatics Society (pp. 16-20).
3. Cella, M., Taylor, K., & Reed, P. (2007). Violation of expectancies produces more false positive reports in a word detection tasks in people scoring high in unusual experiences scale. Personality and Individual Differences, 43, 59-70.
4. Cidell, J. (2010). Content clouds as exploratory qualitative data analysis. Area, 42(4), 514-523.
5. Conrad, P., & Stults, C. (2010). The internet and the experience of illness. In Bird, C. E., Conrad, P., Fremont, A. M., & Timmermans, S. (Eds.), Handbook of medical sociology (pp. 179-191). Nashville, TN: Vanderbilt University Press.
6. Cui, W., Wu, Y, Liu, S., Wei, F., Zhou, M. X., & Qu, H. (2010). Context-preserving, dynamic word cloud visualization. IEEE Computer Graphics and Applications, 30(6), 42-43.
7. Ebers, G. C. (2010). Commentary: Outcome measures were flawed. British Medical Journal, 340, 2693.
8. Feinberg, J. (2009). Wordle. Retrieved from http://www.wordle.net/
9. Fishbein, M., & Yzer, M. C. (2003). Using theory to design effective health behavior interventions. Communication Theory, 13, 164-183. (Pubitemid 37084658)
10. Ford, D. V. Jones, K. H., Maramba, I. D. C, Mddleton, R. M., Osborne, L. A., & Noble, J. G. (n.d.). Protocol for the Pilot UK Multiple Sclerosis (MS) [Manuscript under review]. Register.
11. Goldman, M. D., Motl, R. W., & Rudick, R. A. (2010). Possible clinical outcome measures for clinical trials in patients with multiple sclerosis. Therapeutic Advances in Neurological Disorders, 3, 229-239.
12. Hope, L., Memon, A., & McGeorge, P (2004). Understanding pretrial publicity: Predecisional distortion of evidence by mock jurors. Journal of Experimental Psychology. Applied, 10, 111-119. (Pubitemid 38782950)
13. Hurwitz, B. J. (2011). Registry studies of long-term multiple sclerosis outcomes. Description of key registries. Neurology, 76, S3-S6.
14. Jaeger, S. R., & MacFie, H. J. H. (2001). The effect of advertising format and means-end information on consumer expectations for apples. Food Quality and Preference, 12, 189-205. (Pubitemid 33631145)
15. th International Conference on World Wide Web, Banff, AB, Canada (pp. 1203-1204). (Pubitemid 47582383)
16. Librizzi, W. J. (2006). Integrative therapeutic approach combining Cognitive Behavioral Therapy for the treatment of recurrent depression in an adult clients. Retrieved from http://digitalcommons.pcom.edu/psychology- dissertations/80
17. Lober, W. B., Zierler, B., Herbaugh, A., Shinstrom, S. E., Stolyar, A., Kim, E. H., & Kim, Y. (2006). Barriers to the use of a personal health record by an elderly population. In Proceedings of the Annual Symposium of the American Medical Informatics Society (pp. 514-518).
18. McNaught, C, & Lam, P. (2010). Using Wordle as a supplementary research tool. Qualitative Report, 15, 630-643.
19. Miller, D. M., & Allen, R. (2010). Quality of life in multiple sclerosis: Determinants, measurement, and use in clinical practice. Current Neurology and Neuroscience Reports, 10, 397-406.
20. O'Grady, L., Betel, L., Shachak, A., Wathen, N, Hockema, S., & Luke, R. ⋯ Jadad, A. (2010, February 6-10). Sensemaking and credibility of health information in online message forums: A multi-method study assessing tagging and tag clouds. In Proceedings of the Conference on Computer Supported Cooperative Work (pp. 547-548).
21. Osborne, L. A., Noble, J. G., Lockhart, H., Mddleton, R. M., Thompson, S., Maramba, I. D. C.,⋯ Ford, D. V. (n.d.). Barriers to the use of an internet-based register for Multiple Sclerosis as identified by internet-using people with MS based on their experiences. Manuscript under review.
22. Osborne, L. A., Noble, J. G., Maramba, I. D. C. Jones, K. H., Middleton, R. M., Lyons, R. A., & Ford, D. V. (n.d.). Outcome measures for Multiple Sclerosis [Manuscript under review]. RE: view.
23. Osborne, L. A., & Reed, P. (2008). Parents' perceptions of communication with professionals during the diagnosis of autism. Autism, 12, 259-274.
24. Porter, C, & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 9, 999-1007. (Pubitemid 44464190)
25. Skinner, H. A., Biscope, S., & Poland, B. (2003). Quality of internet access: Barrier behind Internet use statistics. Social Science & Medicine, 57, 875-880. (Pubitemid 36870724)
26. Steinbock, D. (2011). TagCrowd. Retrieved from http://tagcrowd.com