Behavioral medicine, cancer control, and NCI: reflections on a fruitful past and auspicious future

Cancer prevention and control has benefited substantially from behavioral medicine research over the last several decades. The National Cancer Institute’s (NCI) Division of Cancer Control and Population Sciences, ably led by Barbara Rimer and then Bob Croyle since being established in 1997, has been a primary supporter of this research. NCI has made significant investments in many of the topics featured in this special section and will continue to do so. These include research on basic behavioral processes such as affect as well as optimal approaches to health communication. A key and enduring focus has been the support of behavioral interventions, particularly for tobacco, diet, physical activity, and sun exposure. The success of such interventions will be amplified to the extent that they leverage novel research designs, emerging digital technologies, evidence gleaned from the burgeoning field of implementation science, and lessons learned from greater attention to the impact of health disparities and inequities. Moreover, as the cancer survivor population continues to grow given the rapid development of diagnostic and therapeutic science, it will be even more essential to devote attention to understanding and addressing the health care and other needs of survivors such as cognitive dysfunction and financial toxicity. The field of behavioral medicine should be both applauded for its many contributions to reducing the cancer burden and encouraged to continue developing new research ideas in these critical areas.

Emerging digital technologies in cancer treatment, prevention, and control

The very first issue of the journal of Translational Behavioral Medicine (TBM) was dedicated, in part, to the theme of Health Information Technology as a platform for evidence implementation. The topic was timely: legislation in the USA was passed with the intent of stimulating the adoption of electronic health records; mobile smartphones, tablets, and other devices were gaining traction in the consumer market, while members within the Society of Behavioral Medicine were gaining scientific understanding on how to use these tools to effect healthy behavior change. For the anniversary issue of TBM, we evaluated the progress and problems associated with deploying digital health technologies to support cancer treatment, prevention, and control over the last decade. We conducted a narrative review of published literature to identify the role that emerging digital technologies may take in achieving national and international objectives in the decade to come. We tracked our evaluation of the literature across three phases in the cancer control continuum: (a) prevention, (b) early detection/screening, and (c) treatment/survivorship. From our targeted review and analyses, we noted that significant progress had been made in the adoption of digital health technologies in the cancer space over the past decade but that significant work remains to be done to integrate these technologies effectively into the cancer control systems needed to improve outcomes equitably across populations. The challenge for the next 10 years is inherently translational.

Seeking a pot of gold with integrated behavior therapy and research to improve health equity: insights from the RAINBOW trial for obesity and depression

More than one third of adults in the United States (U.S.) live with multiple chronic conditions that affect their physical and mental health, functional outcomes, independence, and mortality. The COVID-19 pandemic has exposed not only an increased risk for infection, morbidity, and mortality among those with chronic conditions but long-standing health inequities by age, race, sex, and other social determinants. Obesity plus depression represent one such prevalent comorbidity for which few effective integrated interventions exist, prompting concern about the potential for secondary physical and mental health pandemics post COVID-19. Translational behavioral medicine research can play an important role in studying integrated collaborative healthcare approaches and advancing scientific understanding on how to engage and more effectively treat diverse populations with physical and mental health comorbidities. The RAINBOW (Research Aimed at Improving Both Mood and Weight) clinical trial experience offers a wealth of insights into the potential of collaborative care interventions to advance behavior therapy research and practice. Primary care patients with co-occurring obesity and depression were assigned to either Integrated Coaching for Mood and Weight (I-CARE), which blended Group Lifestyle Balance (GLB) for weight management and the Program to Encourage Active Rewarding Lives (PEARLS) for depression, or usual care, to examine clinical, cost-effectiveness, and implementation outcomes. This commentary highlights the empirical findings of eight RAINBOW research papers and discusses implications for future studies, including their relevance in the U.S. COVID-19 context. Organized by key principles of translational behavioral medicine research, the commentary aims to examine and embrace the heterogeneity of baseline and intervention response differences among those living with multiple chronic conditions. We conclude that to prevent health and healthcare disparities from widening further, tailored engagement, dissemination, and implementation strategies and flexible delivery formats are essential to improve treatment access and outcomes among underrepresented populations.

Anti-Black racism and behavioral medicine: confronting the past to envision the future

Behavioral medicine research and practice have not traditionally acknowledged the detrimental effects of anti-Black racism (and other forms of systemic oppression) on health, interventions, or research. This commentary describes four ways that behavioral medicine researchers and clinicians can address the past to envision the future of behavioral medicine to promote equitable health for all: 1) name anti-Black racism, 2) ensure interventions address structural inequities, 3) advocate for systemic change, and 4) change expectations for publications.