Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy

OBJECTIVE To collaborate with community members to develop tailored infographics that support comprehension of health information, engage the viewer, and may have the potential to motivate health-promoting behaviors. METHODS The authors conducted participatory design sessions with community members, who were purposively sampled and grouped by preferred language (English, Spanish), age group (18-30, 31-60, >60 years), and level of health literacy (adequate, marginal, inadequate). Research staff elicited perceived meaning of each infographic, preferences between infographics, suggestions for improvement, and whether or not the infographics would motivate health-promoting behavior. Analysis and infographic refinement were iterative and concurrent with data collection. RESULTS Successful designs were information-rich, supported comparison, provided context, and/or employed familiar color and symbolic analogies. Infographics that employed repeated icons to represent multiple instances of a more general class of things (e.g., apple icons to represent fruit servings) were interpreted in a rigidly literal fashion and thus were unsuitable for this community. Preliminary findings suggest that infographics may motivate health-promoting behaviors. DISCUSSION Infographics should be information-rich, contextualize the information for the viewer, and yield an accurate meaning even if interpreted literally. CONCLUSION Carefully designed infographics can be useful tools to support comprehension and thus help patients engage with their own health data. Infographics may contribute to patients' ability to participate in the Learning Health System through participation in the development of a robust data utility, use of clinical communication tools for health self-management, and involvement in building knowledge through patient-reported outcomes.

[1]  L. G. Doak,et al.  The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. , 2006, Patient education and counseling.

[2]  Connie V. Chan,et al.  Interactive Graphics for Expressing Health Risks: Development and Qualitative Evaluation , 2009, Journal of health communication.

[3]  Ann Blandford,et al.  Making sense of personal health information: Challenges for information visualization , 2013, Health Informatics J..

[4]  Sunmoo Yoon,et al.  Method for the Development of Data Visualizations for Community Members with Varying Levels of Health Literacy , 2013, AMIA.

[5]  Sunil Kripalani,et al.  Use of pictorial aids in medication instructions: a review of the literature. , 2006, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[6]  S. Noar,et al.  A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions , 2013, Journal of health communication.

[7]  Suzanne Bakken,et al.  Online Health Information Seeking Behaviors of Hispanics in New York City , 2013 .

[8]  Andrew Hayen,et al.  The Influence of Graphic Display Format on the Interpretations of Quantitative Risk Information among Adults with Lower Education and Literacy , 2012, Medical decision making : an international journal of the Society for Medical Decision Making.

[9]  References , 1971 .

[10]  Jessica S. Ancker,et al.  The Practice of Informatics: Design Features of Graphs in Health Risk Communication: A Systematic Review , 2006, J. Am. Medical Informatics Assoc..

[11]  Gary L. Kreps,et al.  Meeting the health literacy needs of immigrant populations. , 2008, Patient education and counseling.

[12]  Suzanne Bakken,et al.  Style Guide: An Interdisciplinary Communication Tool to Support the Process of Generating Tailored Infographics From Electronic Health Data Using EnTICE3 , 2015, EGEMS.

[13]  Jennifer K. Phillips,et al.  A Data–Frame Theory of Sensemaking , 2007 .

[14]  David Hammond,et al.  Health warning messages on tobacco products: a review , 2011, Tobacco Control.

[15]  M. Becker,et al.  The Health Belief Model: A Decade Later , 1984, Health education quarterly.

[16]  Richard E. Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[17]  R. Saunders,et al.  Best Care at Lower Cost: The Path to Continuously Learning Health Care in America , 2013 .

[18]  Hsiu-Fang Hsieh,et al.  Three Approaches to Qualitative Content Analysis , 2005, Qualitative health research.

[19]  Siamak Noorbaloochi,et al.  Validation of Screening Questions for Limited Health Literacy in a Large VA Outpatient Population , 2008, Journal of General Internal Medicine.

[20]  Edward T. Cokely,et al.  Using Visual Aids to Improve Communication of Risks about Health: A Review , 2012, TheScientificWorldJournal.