Children Under 18 Years, a family of one adult and four children would need to have a household income of $25,625 or more to be above the poverty threshold. Any larger families would have a higher threshold. As the 2012 FEMA National Survey does not ask respondents about household size or number of children in the household, "less than $25,000 annually" serves as a proxy for low-income households.

Employing instructional strategies and behavioral theories in preparedness interventions optimizes the potential for individuals to adopt preparedness behaviors. Study findings suggest that stage movement toward household preparedness was not spurious but rather associated with the intervention. Therefore, Ready CDC was successful in moving staff along the continuous process of adopting household disaster preparedness behaviors, thus providing a model for future interventions. The TTM suggests factors such as knowledge, beliefs, and self-efficacy will differ by stage and may differentially predict progression towards behavior adoption. Thus, tailoring interventions based on an individual's stage of change optimizes the potential for individuals to adopt desired behaviors.

A legislatively mandated copayment system for Cali-

Mobile applications, or apps, have gained widespread use with the advent of modern smartphone technologies. Previous research has been conducted in the use of mobile devices for learning. However, there is decidedly less research into the use of mobile apps for health learning (eg, patient self-monitoring, medical student learning). This deficiency in research on using apps in a learning context is especially severe in the disaster health field. The objectives of this article were to provide an overview of the current state of disaster health apps being used for learning, to situate the use of apps in a health learning context, and to adapt a learning framework for the use of mobile apps in the disaster health field. A systematic literature review was conducted by using the PRISMA checklist, and peer-reviewed articles found through the PubMed and CINAHL databases were examined. This resulted in 107 nonduplicative articles, which underwent a 3-phase review, culminating in a final selection of 17 articles. While several learning models were identified, none were sufficient as an app learning framework for the field. Therefore, we propose a learning framework to inform the use of mobile apps in disaster health learning. (Disaster Med Public Health Preparedness. 2017;11:487-495).