Jeana Frost
ABSTRACT
In this paper, we describe research designed to impact diabetes education programs. We have tried to connect medical facts and information about diabetes to personal experiences by introducing photography as a tool for data collection. Diabetics typically measure their blood sugar levels to understand their physiological state, but these data cannot explain the causal factors leading to anomalous health. We have introduced additional qualitative data into the diabetes portfolio by having patients photograph their eating, exercise, and stress management habits. We discuss two related projects in the paper: a new approach to diabetes education courses and visualization software that allows photographs of behavior to be synchronized with glucose data. In both cases, our goal is to help diabetics reflect on their health practices, and to use personal imagery as data to explain their conditions.
- Alonso, D. L., Rose, A., Plaisant, C., & Norman, K. L. (1998). Viewing personal history records: A comparison of tabular format and graphical presentation using LifeLines. Behaviour & Information Technology, 17(5): 249--262.Google Scholar
Cross Ref
- Bernstein, R. K. (1997). Dr. Bernstein's Diabetes Solution: A Complete Guide to Achieving Normal Blood Sugars. Boston, MA: Little, Brown & Company.Google Scholar
- Bransford, J. D., Sherwood, R. D., Hasselbring, T. S., Kinzer, C. K., & Williams, S. M. (1990). Anchored instruction: Why we need it and how technology can help. In D. Nix & R. Spiro (Eds.), Cognition, Education, and Multimedia: Exploring Ideas in High Technology (pp. 115--141). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
- Cappo, M. & Darling, K. (1996). Measurement in Motion. Communications of the ACM, 39(8): 91--93. Google ScholarDigital Library
- Collins, A. & Brown, J. S. (1988). The computer as a tool for learning through reflection. In H. Mandl & A. Lesgold (Eds.), Learning Issues for Intelligent Tutoring Systems (pp. 1--18). New York: Springer-Verlag. Google ScholarDigital Library
- Committee on Health and Behavior. (2001). Health and Behavior: The Interplay of Biological, Behavioral, and Societal Influences. Washington, DC: National Academy Press.Google Scholar
- Glasgow, R. E., Fisher, E. B., Anderson, B. J., LaGreca, A., Marrero, D., Johnson, S. B., Rubin, R. R., & Cox, D. J. (1999). Behavioral science in diabetes: Contributions and opportunities. Diabetes Care, 22: 832--843.Google ScholarCross Ref
- Goldman-Segall, R. (1997). Points of Viewing Children's Thinking: A Digital Ethnographer's Journey. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Gross, M. M. (1998). Analysis of human movement using digital video. Journal of Educational Multimedia and Hypermedia, 7(4): 375--395. Google ScholarDigital Library
- Kilman, D. G. & Forslund, D. W. (1997). An international collaboratory based on virtual patient records. Communications of the ACM, 40(8): 111--117. Google ScholarDigital Library
- Klayman, J. & Ha, Y.-W. (1987). Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94: 211--228.Google ScholarCross Ref
- Lord, C. G., Ross, L., & Lepper, M. R. (1979). Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37(11): 2098--2109.Google ScholarCross Ref
- Nardi, B. A., Kuchinsky, A., Whittaker, S., Leichner, R., & Schwarz, H. (1996). Video-as-data: Technical and social aspects of a collaborative multimedia application. Computer Supported Collaborative Work, 4: 73--100. Google ScholarDigital Library
- National Institute of Diabetes & Digestive & Kidney Diseases. Diabetes Overview. 1998, National Institutes of Health: Bethesda, MD.Google Scholar
- Norris, S. L., Engelgau, M. M., & Narayan, K. M. V. (2001). Effectiveness of self-management training in Type 2 diabetes. Diabetes Care, 24: 561--587.Google ScholarCross Ref
- Plaisant, C., Milash, B., Rose, A., Widoff, S., & Shneiderman, B. (1996). LifeLines: Visualizing personal histories. In Proceedings of the CHI 96 Conference on Human Factors in Computing Systems (pp. 221--227). New York: ACM Press. Google ScholarDigital Library
- Powsner, S. M. & Tufte, E. R. (1994). Graphical summary of patient status. The Lancet, 344: 386--389.Google ScholarCross Ref
- Rich, M., Lamola, S., Amorty, C., & Schneider, L. (2000). Asthma in life context: Video intervention/prevention assessment (VIA). Pediatrics, 105(3): 469--477.Google ScholarCross Ref
- Rubin, A., Bresnahan, S., & Ducas, T. (1996). Cartwheeling through CamMotion. Communications of the ACM, 39(8): 84--85. Google ScholarDigital Library
- Rubin, A. & Win, D. (1994). Studying motion with KidVid: A data collection and analysis tool for digitized video. In Conference Companion to CHI '94 (pp. 13--14). New York: ACM Press. Google ScholarDigital Library
- Schiffrin, A. & Belmonte, M. (1982). Multiple daily self-glucose monitoring: Its essential role in long term glucose control in insulin-dependent diabetic patients treated with pump and multiple subcutaneous injections. Diabetes Care, 5(5): 479--484.Google ScholarCross Ref
- Smith, B. K. (2002). You prick your finger, we do the rest: Glucose meter evolution. User Experience: The Magazine of the Usability Professionals' Association, 3: 31--34.Google Scholar
- Smith, B. K. & Blankinship, E. (2000). Justifying imagery: Multimedia support for learning through explanation. IBM Systems Journal, 39(3&4): 749--767. Google ScholarDigital Library
- Smith, B. K., Blankinship, E., Ashford III, A., Baker, M., & Hirzel, T. (1999). Inquiry with imagery: Historical archive retrieval with digital cameras. In ACM Multimedia 99 Proceedings (pp. 405--408). New York: ACM Press. Google ScholarDigital Library
- Smith, B. K. & Reiser, B. J. (1998). National Geographic unplugged: Classroom-centered design of interactive nature films. In Proceedings of the CHI 98 Conference on Human Factors in Computing Systems (pp. 424--431). New York: ACM Press. Google ScholarDigital Library
- Strowig, S. M. & Raskin, P. (1998). Improved glycemic control in intensively treated type 1 diabetic patients using blood glucose meters with storage capability and computer-assisted analyses. Diabetes Care, 21(10): 1694--1698.Google ScholarCross Ref
- Wason, P. C. (1960). On the failure to eliminate hypotheses in a conceptual task. The Quarterly Journal of Experimental Psychology, 12(3): 129--140.Google ScholarCross Ref
- Whittaker, S. (1995). Rethinking video as a technology for interpersonal communications: Theory and design implications. International Journal of Human-Computer Studies, 42: 501--529. Google ScholarDigital Library
Index Terms
- Visualizing health: imagery in diabetes education
Recommendations
Development of a Computer-Aided Clinical Patient Education System to Provide Appropriate Individual Nursing Care for Psychiatric Patients
A lot of researches have proven that health education can help patients to maintain and improve their health. And it also shortens the time staying in hospital to save medication resource. Because the patients are willing to get healthcare knowledge to ...
Usage of information technology for the purpose of health education in Sri Lanka
ICEGOV '09: Proceedings of the 3rd international conference on Theory and practice of electronic governanceStudies on Internet usage for health information are mainly done in developed countries and very few studies have been carried out in developing countries.
We carried out a study on Internet usage of patients who were attending specialist clinics, in a ...
Benefits of Online Health Education: Perception from Consumers and Health Professionals
With the advancement in technology and availability of the Internet, online health education could become one of the media for health education. As health education is to persuade patients on health behavioural change, understanding perceived benefits ...
Reviews
Andrew Brooks
The use of visualization software and photography in the management of diabetes is discussed in this paper. Anecdotes are provided of the use of photographs of daily activities, taken by diabetics themselves, in group discussions during diabetes education. For example, a photograph of an unhealthy meal generated criticism by group members. Another photograph inadvertently captured poor eating habits. The photographs are also described as helping diabetics frame questions to ask healthcare professionals. Visualizations are shown of blood sugar levels, (high, acceptable, or low) by time of day and by day of the month, with corresponding photographs of daily activities (such as eating and exercise) taken on a particular day. For example, a photograph of a pizza is shown with a line graph of blood sugar levels indicating a dramatic rise after the pizza was eaten. Initial users of the software are, however, reported as having suffered confirmation bias; they were not altering their beliefs about how they should manage their diabetes. The authors conclude that the visualizations and photography must be interpreted in a collaborative setting. Good management of diabetes is of extreme importance. While this paper provides very useful insights into how visualization software incorporating photographic evidence can support the making of connections between lifestyle choices and blood sugar levels, experimental studies are required to determine whether the use of such software can result in better management of diabetes. This paper is highly recommended to healthcare specialists in diabetes, and those developing technology to support the management of it. Online Computing Reviews Service
Access critical reviews of Computing literature here
Become a reviewer for Computing Reviews.
Comments