Designing and Testing Apps to Support Patients With Cancer: Looking to Behavioral Science to Lead the Way.

BACKGROUND: Behavioral science has a long and strong tradition of rigorous experimental and applied methodologies, which have produced several influential and far-reaching theoretical frameworks and have guided countless inquiries of human behavior in various contexts. In cancer care, behavioral scientists have established a firm foundation of research focused on understanding the experience of cancer and using that understanding to design and implement theory- and evidenced-based interventions to help patients cope with the cancer experience. Given the rich behavioral research base in oncology, behavioral scientists are ideally positioned to lead the integration of evidence-based science on behavior and behavior change into the development of smartphone apps supporting patients with cancer. Smartphone apps are being disseminated to patients with cancer with claims of being able to help them negotiate areas of vulnerability in their cancer experience. However, the vast majority of these apps are developed without the rigor and expertise of behavioral scientists. OBJECTIVE: In this article, we have illustrated the importance of behavioral science leading the development and evaluation of apps to support patients with cancer by providing an illustrative scientific process that our team of behavioral scientists, patient stakeholders, medical oncologists, and software developers used to empirically design and evaluate 2 patient-focused apps: the Discussion of Cost App (DISCO App) and MyPatientPal. METHODS: Using a focused literature review and a descriptive roadmap of our team's process for designing and evaluating patient-focused behavioral apps for patients with cancer, we have demonstrated how behavioral scientists are integral to the development of empirically sound apps to help support patients with cancer. Specifically, we have illustrated the process by which our multidisciplinary team combined the established user-centered design principles and behavioral science theory and scientific rigor to design and evaluate 2 patient-focused apps. RESULTS: On the basis of initial acceptability and feasibility testing among patients and providers, our team has demonstrated how critical behavioral science is for designing and evaluating app-based interventions for patients with cancer. CONCLUSIONS: Behavioral science can and should be coupled with user-centered design principles to provide theoretical guidance and the rigor of the scientific method, thereby adding the much-needed and critical evidence for these types of app-based interventions for patients with cancer.

Understanding the role of family dynamics, perceived norms, and lung cancer worry in predicting second-hand smoke avoidance among high-risk lung cancer families.

Reducing exposure to environmental tobacco smoke significantly reduces lung cancer risk. We used family communication patterns theory and the theory of planned behavior to examine whether perceived norms and lung cancer worry more strongly influenced intentions to avoid environmental tobacco smoke in families higher in conformity and conversation orientations. Results from 52 individuals in 17 high-risk lung cancer families showed injunctive norms were positively related to intentions when families conformed and conversed more. Lung cancer worry was positively related to intentions in high conformity families and negatively related to intentions in low conformity families. Findings can benefit interventions to reduce environmental tobacco smoke exposure.