Commercial mobile apps for health behavior change are flourishing in the marketplace, but little evidence exists to support their use. This paper summarizes methods for evaluating the content, usability, and efficacy of commercially available health apps. Content analyses can be used to compare app features with clinical guidelines, evidence-based protocols, and behavior change techniques. Usability testing can establish how well an app functions and serves its intended purpose for a target population. Observational studies can explore the association between use and clinical and behavioral outcomes. Finally, efficacy testing can establish whether a commercial app impacts an outcome of interest via a variety of study designs, including randomized trials, multiphase optimization studies, and N-of-1 studies. Evidence in all these forms would increase adoption of commercial apps in clinical practice, inform the development of the next generation of apps, and ultimately increase the impact of commercial apps. Boudreaux, Rajani S Sadasivam, Sean P Mullen, Jennifer L Carey, Rashelle B Hayes, Eric Y Ding, Gary G Bennett, Sherry L Pagoto. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 18.12.2017.

Government policy affects virtually every topic of interest to health behavior researchers, from research funding to reimbursement for clinical services to application of evidence to impact health outcomes. This paper provides a 6-year update on the expansion of Society of Behavioral Medicine's (SBM) public policy and advocacy agenda and proposed future directions. SBM's Health Policy Council is responsible for ensuring coordination of the policy-related activities of the Health Policy Committee (HPC), the Civic and Public Engagement Committee (CPEC), and the Scientific and Professional Liaison Council (SPLC). These committees and councils have written letters to Congress, signed onto advocacy letters with hundreds of organizations, and developed and disseminated 15 health policy briefs, the majority of which have been presented to legislative staffers on Capitol Hill. With the assistance of the SPLC, SBM has collaborated on policy efforts with like-minded organizations to increase the impact of the Society's policy work. Moving forward, SBM plans to continue to increase efforts to disseminate policy work more broadly and develop long-term relationships with Congressional staffers. SBM leadership realizes that to remain relevant, demonstrate impact, and advance the role of behavioral medicine, we must advance a policy agenda that reflects our mission of better health through behavior change.

Historically, providers have lacked reimbursement for obesity management in the primary care setting. In 2011, the Centers for Medicare and Medicaid Services released the decision to reimburse qualified primary care providers for obesity counseling. We are concerned particularly about how the policy might adversely impact high-risk groups, namely racial/ethnic minority and socioeconomically disadvantaged populations

The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system.