dc.contributor.advisor | McDowd, Joan M. | |
dc.contributor.author | Poirier, Mark W. | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017 Summer | |
dc.description | Title from PDF of title page, viewed October 30, 2017 | |
dc.description | Thesis advisor: Joan M. McDowd | |
dc.description | Vita | |
dc.description | Includes bibliographical references (pages 94-102) | |
dc.description | Thesis (M.A.)--Department of Psychology. University of Missouri--Kansas City, 2017 | |
dc.description.abstract | Decision support tools that incorporate predictive risk estimates can be used to assist
patients and their families in making better-informed choices about treatment options. The
format utilized to present predictive risk estimates can influence risk perception and
treatment decisions. The study reported here investigated the influence of graph format on
information processing and decision-making in relation to rt-PA therapy for stroke.
Forty-five older adults were asked to make a hypothetical decision about rt-PA while
viewing rt-PA risk information presented in one of three graph formats. Eye tracking, scan
path, and transition analysis were used to investigate differences in information processing
by graph format.
Graph format did not affect whether or not study participants said yes to rt-PA
treatment. There was an effect of graph format on decisional uncertainty, study time, and
memory accuracy. Mean fixation densities and common transitions were significantly
different by information area, graph format. and time epoch.
Whether graph format alone can influence decision strategies enough to affect choice
remains an open question. However, using fixation density and transition probabilities
together appears to be a viable means of inferring information processing and discerning
information processing differences. | eng |
dc.description.tableofcontents | Journal article -- Literature review -- Original proposal summary and methods -- Analyses -- Appendix A. Literature Review Figures -- Appendix B. Informed Consent -- Appendix C. Cognitive Aging Conference Poster -- Appendix D. iHIITS Demographics -- Appendix E. Working with Numbers -- Appendix F. Working with Graphs -- Appendix G. Decisional Conflict Scale -- Appendix H. Comprehension Quiz | |
dc.format.extent | ix, 103 pages | |
dc.identifier.uri | https://hdl.handle.net/10355/61856 | |
dc.publisher | University of Missouri--Kansas City | eng |
dc.subject.lcsh | Medical care -- Decision making -- Charts, diagrams, etc. | |
dc.subject.other | Thesis -- University of Missouri--Kansas City -- Psychology | |
dc.title | Graph Format Effects in Processing Health Outcome Information | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Psychology (UMKC) | |
thesis.degree.grantor | University of Missouri--Kansas City | |
thesis.degree.level | Masters | |
thesis.degree.name | M.A. | |