Kathryn Greene, Smita C. Banerjee, Anne E. Ray, and Michael L. Hecht
Results of national epidemiologic surveys indicate that substance use rates among adolescents remain relatively steady or even show slight declines; however, some substance use rates, such as electronic cigarettes, are actually rising. Thus, the need for efficacious drug prevention efforts in the United States remains high. Active Involvement (AI) interventions are a promising avenue for preventing and reducing adolescent substance use, and they create opportunities for adolescents to experience a core feature of engagement that is common to these interventions, such as producing videos, posters, or radio ads; or generating themes and images for messages such as posters.
Existing interventions grounded in theories of Active Involvement include programs delivered face-to-face and via e-learning platforms. Narrative Engagement Theory and the Theory of Active Involvement guide the components of change in AI interventions. Youth develop message content during participation in Active Involvement interventions. Advanced analytic models can be applied to address new research questions related to the measure of components of AI interventions.
Hearing loss is common, with approximately 17% of the population reporting some degree of a hearing deficit. Hearing loss has profound impacts on health literacy, health information accessibility, and learning. Much of existing health information is inaccessible. This is largely due to the lack of focus on tailoring the messages to the needs of deaf and hard of hearing (DHH) individuals with hearing loss. DHH individuals struggle with a variety of health knowledge gaps and health disparities. This demonstrates the importance of providing tailored and accessible health information for this population. While hearing loss is heterogeneous, there are still overlapping principles that can benefit everyone. Through adaptation, DHH individuals become visual learners, thus increasing the demand for appropriate visual medical aids. The development of health information and materials suitable for visual learners will likely impact not only DHH individuals, but will also be applicable for the general population. The principles of social justice and universal design behoove health message designers to ensure that their health information is not only accessible, but also equitable. Wise application of technology, health literacy, and information learning principles, along with creative use of social media, peer exchanges, and community health workers, can help mitigate much of the health information gaps that exist among DHH individuals.
Suellen Hopfer and Genesis Gutierrez
Fundamental structural features of risk maps influence how health risk and burden information is understood. The mapping of health data by medical geographers in the 1800s has evolved into the field of geovisualization and the use of online, geographic information system (GIS) interactive maps. Thematic (statistical) map types provide basic principles for mapping geographic health data. It is important to match the nature of statistical data with map type to minimize the potential for communicating misleading messages. Strategic use of structural map features can facilitate or hinder accurate comprehension of health risk messages in maps. A key challenge remains in designing maps to communicate a clear message given the complexity of modern health risk burdens. Various structural map features such as symbols, color, grouping of statistical data, scale, and legend must be considered for their impact on accurate comprehension and message clarity. Cognitive theory in relationship to map comprehension plays a role, as do insights from research on visualizing uncertainty, future trends in developing predictive mapping tools for public health planning, the use of geo-social and “big data,” as well as data ownership.