Abstract
Individuals diagnosed with chronic diseases often face difficult, potentially life-altering, treatment decisions. Without sufficient knowledge, it can be difficult for a patient to make an informed decision. An essential element of medical care is educating the patient regarding disease outcomes and treatment options, thereby reducing feelings of uncertainty and increasing confidence in the resulting decision. It has been shown that incorporating decision aids (DAs) based on serious computer games into medical care can increase health knowledge and assist decision-making of patients with a variety of diseases. We discuss the benefits and challenges of using serious games as patient decision aids. We focus on rheumatoid arthritis (RA), a chronic disease that primarily affects the joints of the hand. We propose the use of serious games to enable RA patients to safely explore the uncertain effects of treatments through an avatar that performs common daily tasks, which are known to cause problems for RA patients, and experiences the side effects. We discuss the engineering challenges in building such a system and propose a data-driven approach using medical imagery to communicate the effects of the disease.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice Hall.
Bandura, A. (1994). Self‐efficacy. New York: Wiley.
Beale, I. L., Kato, P. M., Marin-Bowling, V. M., Guthrie, N., & Cole, S. W. (2007). Improvement in cancer-related knowledge following use of a psychoeducational video game for adolescents and young adults with cancer. Journal of Adolescent Health, 41(3), 263–270.
Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., Viera, A., Crotty, K., et al. (2011). Health literacy interventions and outcomes: An updated systematic review. Prepared by RTI International-University of North Carolina Evidence-Based Practice Center Under Contract No. 290-2007-10056-I. AHRQ Publication Number 11-E006. Rockville, MD: Agency for Healthcare Research and Quality.
Bosworth, K., Gustafson, D. H., Hawkins, R. P., Chewning, B., & Day, T. (1983). Adolescents, health education, and computers: The body awareness resource network (BARN). Health Education, 14(6), 58–60.
Burton, K., Hallock, F., & Mihail, R. P. (2013, July). A data-driven approach to visualize the effects of rheumatoid arthritis on hands. In 2013 18th International Conference on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational & Serious Games (CGAMES)(pp. 188–196). IEEE.
Daltroy, L. H. (1993). Doctor–patient communication in rheumatological disorders. Baillière’s Clinical Rheumatology, 7(2), 221–239.
Elwyn, G., O’Connor, A. M., Bennett, C., Newcombe, R. G., Politi, M., Durand, M. A., et al. (2009). Assessing the quality of decision support technologies using the International Patient Decision Aid Standards instrument (IPDASi). PloS One, 4(3), e4705.
Elwyn, G., O’Connor, A., Stacey, D., Volk, R., Edwards, A., Coulter, A., et al. (2006). Developing a quality criteria framework for patient decision aids: Online international Delphi consensus process. British Medical Journal, 333(7565), 417.
Fagerlin, A., Wang, C., & Ubel, P. A. (2005). Reducing the influence of anecdotal reasoning on people’s health care decisions: Is a picture worth a thousand statistics? Medical Decision Making, 25(4), 398–405.
Feldman-Stewart, D., Brennenstuhl, S., McIssac, K., Austoker, J., Charvet, A., Hewitson, P., et al. (2007). A systematic review of information in decision aids. Health Expectations, 10(1), 46–61.
Fraenkel, L., Bogardus, S., Concato, J., & Felson, D. (2003). Risk communication in rheumatoid arthritis. The Journal of Rheumatology, 30(3), 443–448.
Gigerenzer, G. (1996). The psychology of good judgment frequency formats and simple algorithms. Medical Decision Making, 16(3), 273–280.
Gigerenzer, G., & Edwards, A. (2003). Simple tools for understanding risks: From innumeracy to insight. British Medical Journal, 327(7417), 741.
Grove, M. L., Hassell, A. B., Hay, E. M., & Shadforth, M. F. (2001). Adverse reactions to disease‐modifying anti‐rheumatic drugs in clinical practice. Quarterly Journal of Medicine, 94(6), 309–319.
Haugli, L., Strand, E., & Finset, A. (2004). How do patients with rheumatic disease experience their relationship with their doctors?: A qualitative study of experiences of stress and support in the doctor–patient relationship. Patient Education and Counseling, 52(2), 169–174.
Hill, J., Bird, H. A., Hopkins, R., Lawton, C., & Wright, V. (1991). The development and use of a patient knowledge questionnaire in rheumatoid arthritis. Rheumatology, 30(1), 45–49.
Holmes-Rovner, M., Kroll, J., Schmitt, N., Rovner, D. R., Breer, M. L., Rothert, M. L., et al. (1996). Patient satisfaction with health care decisions the satisfaction with decision scale. Medical Decision Making, 16(1), 58–64.
Horne, R., & Hankins, M. (2004). The medication adherence report scale. Brighton, UK: University of Brighton.
Ishikawa, H., Hashimoto, H., & Yano, E. (2006). Patients’ preferences for decision making and the feeling of being understood in the medical encounter among patients with rheumatoid arthritis. Arthritis Care & Research, 55(6), 878–883.
Juul, J. (2012). A casual revolution: Reinventing video games and their players. Cambridge, MA: The MIT Press.
King, J. A., & Tomaino, M. M. (2001). Surgical treatment of the rheumatoid thumb. Hand Clinics, 17(2), 275–289.
Lieberman, D. A. (2001). Management of chronic pediatric diseases with interactive health games: Theory and research findings. The Journal of Ambulatory Care Management, 24(1), 26–38.
Martin, R. W., Brower, M. E., Geralds, A., Gallagher, P. J., & Tellinghuisen, D. J. (2012). An experimental evaluation of patient decision aid design to communicate the effects of medications on the rate of progression of structural joint damage in rheumatoid arthritis. Patient Education and Counseling, 86(3), 329–334.
Mihail, R. P. (2014) Visualizing and predicting the effects of rheumatoid arthritis on hands (doctoral dissertation). Retrieved from http://uknowledge.uky.edu/cs_etds/19
Mihail, R. P., Blomquist, G., & Jacobs, N. (2014). A CRF approach to fitting a generalized hand skeleton model. In IEEE Winter Conference on Applications of Computer Vision (WACV).
Mihail, R. P., Jacobs, N., & Goldsmith, J. (2012). Static hand gesture recognition with 2 Kinect sensors. In Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition.
Montori, V. M., Shah, N. D., Pencille, L. J., Branda, M. E., Van Houten, H. K., Swiglo, B. A., et al. (2011). Use of a decision aid to improve treatment decisions in osteoporosis: The osteoporosis choice randomized trial. The American Journal of Medicine, 124(6), 549–556.
Nielsen-Bohlman, L., Panzer, A. M., & Kindig, D. A. (2004). Health literacy: A prescription to end confusion. Committee on Health Literacy, Board on Neuroscience and Behavioral Health, Institute of Medicine of the National Academies.
O’Connor, A. M. (1995). Validation of a decisional conflict scale. Medical Decision Making, 15(1), 25–30.
O’Connor, A. M., Bennett, C. L., Stacey, D., Barry, M., Col, N. F., Eden, K. B., et al. (2009). Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Review, 3(3), CD001431.
O’Connor, A. M., Graham, I. D., & Visser, A. (2005). Implementing shared decision making in diverse health care systems: The role of patient decision aids. Patient Education and Counseling, 57(3), 247–249.
O’Connor, A. M., Légaré, F., & Stacey, D. (2003). Risk communication in practice: The contribution of decision aids. British Medical Journal, 327(7417), 736–740.
Protheroe, J., Bower, P., Chew-Graham, C., Peters, T. J., & Fahey, T. (2007). Effectiveness of a computerized decision aid in primary care on decision making and quality of life in menorrhagia: Results of the MENTIP randomized controlled trial. Medical Decision Making, 27(5), 575–584.
Reichlin, L., Mani, N., McArthur, K., Harris, A. M., Rajan, N., & Dacso, C. C. (2011). Assessing the acceptability and usability of an interactive serious game in aiding treatment decisions for patients with localized prostate cancer. Journal of Medical Internet Research, 13(1).
Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135(6), 943.
Schapira, M. M., Nattinger, A. B., & McAuliffe, T. L. (2006). The influence of graphic format on breast cancer risk communication. Journal of Health Communication, 11(6), 569–582.
Schwab, A. P. (2008). Putting cognitive psychology to work: Improving decision-making in the medical encounter. Social Science & Medicine, 67(11), 1861–1869.
Singh, J. A., Furst, D. E., Bharat, A., Curtis, J. R., Kavanaugh, A. F., Kremer, J. M., et al. (2012). 2012 Update of the 2008 American College of Rheumatology recommendations for the use of disease‐modifying antirheumatic drugs and biologic agents in the treatment of rheumatoid arthritis. Arthritis Care & Research, 64(5), 625–639.
Stein, A. B., & Terrono, A. L. (1996). The rheumatoid thumb. Hand Clinics, 12(3), 541–550.
Toyama, S., Tokunaga, D., Fujiwara, H., Oda, R., Kobashi, H., Okumura, H., et al. (2014). Rheumatoid arthritis of the hand: A five-year longitudinal analysis of clinical and radiographic findings. Modern Rheumatology, 24(1), 69–77.
Trevena, L. J., Barratt, A., Butow, P., & Caldwell, P. (2006). A systematic review on communicating with patients about evidence. Journal of Evaluation in Clinical Practice, 12(1), 13–23.
Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232.
van der Heijde, D. M. (1996). Plain X-rays in rheumatoid arthritis: Overview of scoring methods, their reliability and applicability. Baillière’s Clinical Rheumatology, 10(3), 435–453.
Walker, D., Adebajo, A., Heslop, P., Hill, J., Firth, J., Bishop, P., et al. (2007). Patient education in rheumatoid arthritis: The effectiveness of the ARC booklet and the mind map. Rheumatology, 46(10), 1593–1596.
Zikmund-Fisher, B. J., Fagerlin, A., Roberts, T. R., Derry, H. A., & Ubel, P. A. (2008). Alternate methods of framing information about medication side effects: Incremental risk versus total risk of occurrence. Journal of Health Communication, 13(2), 107–124.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Mihail, R.P., Jacobs, N., Goldsmith, J., Lohr, K. (2015). Using Visual Analytics to Inform Rheumatoid Arthritis Patient Choices. In: Loh, C., Sheng, Y., Ifenthaler, D. (eds) Serious Games Analytics. Advances in Game-Based Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-05834-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-05834-4_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05833-7
Online ISBN: 978-3-319-05834-4
eBook Packages: Humanities, Social Sciences and LawEducation (R0)