Information visualizations are increasingly being developed by informatics researchers to communicate health information to lay audiences. For high-quality results, it is advisable to collaborate with creative professionals such as graphic designers, illustrators, or user interface/user experience designers. However, such collaborations are often a novel experience for both parties, each of which may be unfamiliar with the needs and processes of the other. We have coalesced our experiences from both the research and design perspectives to offer practical guidance in hopes of promoting the success of future collaborations. We offer suggestions for determining design needs, communicating with design professionals, and carrying out the design process. We assert that successful collaborations are predicated on careful and intentional planning at the outset of a project, a thorough understanding of each party's scope expertise, clear communication, and ample time for the design process to unfold.

OBJECTIVE: To pilot test an infographic-based health communication intervention that our team rigorously designed and explore whether its implementation leads to better health outcomes among Latino persons with HIV (PWH). MATERIALS AND METHODS: Latino PWH (N = 30) living in New York City received the intervention during health education sessions at 3 study visits that occurred approximately 3 months apart. At each visit, participants completed baseline or follow-up assessments and laboratory data were extracted from patient charts. We assessed 6 outcomes (HIV-related knowledge, self-efficacy to manage HIV, adherence to antiretroviral therapy, CD4 count, viral load, and current and overall health status) selected according to a conceptual model that describes pathways through which communication influences health outcomes. We assessed changes in outcomes over time using quantile and generalized linear regression models controlling for the coronavirus disease 2019 (COVID-19) research pause and new patient status (new/established) at the time of enrollment. RESULTS: Most participants were male (60%) and Spanish-speaking (60%); 40% of participants identified as Mixed Race/Mestizo, 13.3% as Black, 13.3% as White, and 33.3% as "other" race. Outcome measures generally improved after the second intervention exposure. Following the third intervention exposure (after the COVID-19 research pause), only the improvements in HIV-related knowledge and current health status were statistically significant. DISCUSSION AND CONCLUSION: Our infographic-based health communication intervention may lead to better health outcomes among Latino PWH, but larger trials are needed to establish efficacy. From this work, we contribute suggestions for effective infographic use for patient-provider communication to enhance patient education in clinical settings.

OBJECTIVE: The study sought to design symptom reports of longitudinal patient-reported outcomes data that are understandable and meaningful to end users. MATERIALS AND METHODS: We completed a 2-phase iterative design and evaluation process. In phase I, we developed symptom reports and refined them according to expert input. End users then completed a survey containing demographics, a measure of health literacy, and items to assess visualization preferences and comprehension of reports. We then collected participants' perspectives on reports through semistructured interviews and modified them accordingly. In phase II, refined reports were evaluated in a survey that included demographics, validated measures of health and graph literacy, and items to assess preferences and comprehension of reports. Surveys were administered using a think-aloud protocol. RESULTS: Fifty-five English- and Spanish-speaking end users, 89.1% of whom had limited health literacy, participated. In phase I, experts recommended improvements and 20 end users evaluated reports. From the feedback received, we added emojis, changed date and font formats, and simplified the y-axis scale of reports. In phase II, 35 end users evaluated refined designs, of whom 94.3% preferred reports with emojis, the favorite being a bar graph combined with emojis, which also promoted comprehension. In both phases, participants literally interpreted reports and provided suggestions for future visualizations. CONCLUSIONS: A bar graph combined with emojis was participants' preferred format and the one that promoted comprehension. Target end users must be included in visualization design to identify literal interpretations of images and ensure final products are meaningful.