Using Animated Computer-generated Text and Graphics to Depict the Risks and Benefits of Medical Treatment - 23/10/12
, Terri Voepel-Lewis, MSN, RN a, Colleen Brennan-Martinez, BSN, MS b, Maureen McGonegal, BA a, Robert Levine, MD d, e
Requests for reprints should be addressed to Alan R. Tait, PhD, Department of Anesthesiology, University of Michigan Health System, 1500 E. Medical Center Drive, Ann Arbor, MI 48109Abstract |
Objective |
Conventional print materials for presenting risks and benefits of treatment are often difficult to understand. This study was undertaken to evaluate and compare subjects' understanding and perceptions of risks and benefits presented using animated computerized text and graphics.
Methods |
Adult subjects were randomized to receive identical risk/benefit information regarding taking statins that was presented on an iPad (Apple Corp, Cupertino, Calif) in 1 of 4 different animated formats: text/numbers, pie chart, bar graph, and pictograph. Subjects completed a questionnaire regarding their preferences and perceptions of the message delivery together with their understanding of the information. Health literacy, numeracy, and need for cognition were measured using validated instruments.
Results |
There were no differences in subject understanding based on the different formats. However, significantly more subjects preferred graphs (82.5%) compared with text (17.5%, P<.001). Specifically, subjects preferred pictographs (32.0%) and bar graphs (31.0%) over pie charts (19.5%) and text (17.5%). Subjects whose preference for message delivery matched their randomly assigned format (preference match) had significantly greater understanding and satisfaction compared with those assigned to something other than their preference.
Conclusions |
Results showed that computer-animated depictions of risks and benefits offer an effective means to describe medical risk/benefit statistics. That understanding and satisfaction were significantly better when the format matched the individual's preference for message delivery is important and reinforces the value of “tailoring” information to the individual's needs and preferences.
El texto completo de este artículo está disponible en PDF.Keywords : Computer animation, Patient comprehension, Patient preferences, Risk/benefit statistics
Esquema
| Funding: Supported by a grant from the National Institutes of Health: National Heart, Lung, and Blood Institute (2R42HL087488) to Dr Levine. Dr Tait is supported by a grant from the National Institutes of Health: National Institute of Child Health & Human Development (R01 HD053594). |
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| Conflict of Interest: Dr Levine is the President and Chief Medical Officer of ArchieMD, Inc, but he was funded independently for this project by a grant from the National Institutes of Health. Dr Levine was responsible for the development of the risk/benefit graphics but had no involvement in subject recruitment, data collection, analysis, or interpretation of the data. None of the other investigators have any financial, commercial, or other interests in ArchieMD, Inc. |
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| Authorship: All authors had access to the data and played a role in writing this manuscript. |
Vol 125 - N° 11
P. 1103-1110 - novembre 2012 Regresar al número
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