Strengthening the Impact of Digital Cognitive Behavioral Interventions Through a Dual Intervention: Proficient Motivational Interviewing–Based Health Coaching Plus In-Application Techniques

Background: The COVID-19 pandemic has accelerated the adoption of digital tools to support individuals struggling with their mental health. The use of a digital intervention plus human coaching (“dual” intervention) is gaining momentum in increasing overall engagement in digital cognitive behavioral interventions (dCBIs). However, there is limited insight into the methodologies and coaching models used by those deploying dual interventions. To achieve a deeper understanding, we need to identify and promote effective engagement that leads to clinical outcomes versus simply monitoring engagement metrics. Motivational interviewing (MI) is a collaborative, goal-oriented communication approach that pays particular attention to the language of change and is an effective engagement approach to help people manage mental health issues. However, this approach has been traditionally used for in-person or telephonic interventions, and less is known about the application of MI to digital interventions. Objective: We sought to provide a dual intervention approach and address multiple factors across two levels of engagement to operationalize a dCBI that combined cognitive behavioral therapy–based techniques and MI-based interactions between the digital health coach (DHC) and user. Methods: We reviewed hundreds of digital exchanges between DHCs and users to identify and improve training and quality assurance activities for digital interventions. Results: We tested five hypotheses and found that: (1) users of a dual digital behavioral health intervention had greater engagement levels than users of a noncoached intervention (P<.001);(2) DHCs with a demonstrated competency in applying MI to digital messages had more engaged users, as measured by the DHC-to-user message exchange ratio (P<.001);(3) the DHC-to-user message exchange ratio was correlated with more engagement in app activities (r=0.28, 95% CI 0.23-0.33);(4) DHCs with demonstrated MI proficiency elicited a greater amount of “change talk” from users than did DHCs without MI proficiency (H=25.12, P<.001);and (5) users who were engaged by DHCs with MI proficiency had better clinical outcomes compared to users engaged by DHCs without MI proficiency (P=.02). Conclusions: To our knowledge, this pilot was the first of its kind to test the application of MI to digital coaching protocols, and it demonstrated the value of MI proficiency in digital health coaching for enhanced engagement and health improvement. Further research is needed to establish coaching models in dCBIs that incorporate MI to promote effective engagement and optimize positive behavioral outcomes.

Health Care Provider Perspectives on the Use of a Digital Behavioral Health App to Support Patients: Qualitative Study.

BACKGROUND: Despite the growing evidence indicating the efficacy of digital cognitive behavioral interventions (dCBIs) for behavioral health (BH) treatment, broad and consistent use of such interventions has been limited by knowledge obtained in real-world settings, including factors that impact provider uptake/referral. Engaging providers early in the implementation process offers an opportunity to explore their needs and behaviors, integrate interventions into workflows, and better understand provider setting capabilities. OBJECTIVE: This study assessed providers' views on the feasibility and acceptability of delivering a cognitive behavioral therapy (CBT)-based mobile app in multiple care settings. METHODS: Participating providers included BH and physical health (PH) providers from a women's health center, an outpatient BH clinic, and both rural/urban primary care settings. All participating providers cocreated workflows through facilitated workshops, including establishing feedback loops between the project team and providers and identifying clinical champions at each site. Over a 12-week period, the providers referred adult patients experiencing anxiety or depression to a mobile app-based dCBI, RxWell, and provided other indicated treatments as part of usual care. Referrals were completed by the providers through the electronic medical record. To better understand facilitators of and challenges in integrating RxWell into routine practice and perceptions of sustainability, a series of qualitative interviews was conducted. Interview data were analyzed to identify major themes using an inductive content analysis approach. RESULTS: A total of 19 provider interviews were conducted to discover motivators and barriers for referring RxWell. The providers benefited from a focused discussion on how to incorporate the referral process into their workflow, and knowing the app content was rooted in evidence. Although the providers believed engaging in experiential learning was important, they indicated that more education on the digital health coach role and how to monitor patient progress is needed. The providers thought patient engagement may be impacted by motivation, a lack of comfort using a smartphone, or preference for in-person therapy. The providers also expressed enthusiasm in continuing to refer the app. They liked the ability to provide patients with support between sessions, to have an extra treatment option that teaches BH exercises, and to have a CBT treatment option that overcomes barriers (eg, wait times, copays, travel) to traditional therapy modalities. CONCLUSIONS: Digital intervention success in health care settings relies heavily on engagement of key stakeholders, such as providers, in both design and implementation of the intervention and focused evaluation within intended care setting(s). Scaling digital interventions to meet the mental health needs of patients in usual care settings leans on thoughtfully constructed and streamlined workflows to enable seamless referral of patients by providers. Our findings strongly suggest that providers are supportive of digital tool integration to support the mental health of patients and endorse its use within their routine workflow.

Editorial: Transition to Telehealth for Mental Health Clinics: Future Considerations.

The acute mental health demands during the COVID-19 pandemic galvanized early adoption of telehealth for care delivery in all medical settings. This is even more so for the field of psychiatry.1 Whether an established telehealth program existed or not, the abrupt lifting of regulations and urgent need for access to care opened the telehealth flood gates. While video visits and telephone visits improved immediate access to care, they simultaneously challenged our ability to structure, organize, educate, operationalize, and track such visits.1 This swift shift in health care delivery forced providers, health care systems, and patients into a nationwide experiment to learn what works well via telehealth and what does not. The ground-breaking article by Folk et al.2 focuses on challenges and successes for a new shared phenomenon: the sudden pivot from in-person to video/telephone care. We examine the data collected by this consortium and compare it with our own experience at UPMC Western Psychiatric behavioral health outpatient settings, both academic and rural.

Editors' Note and Special Communication: Research Priorities in Child and Adolescent Mental Health Emerging From the COVID-19 Pandemic.

Over the last year, the coronavirus disease 2019 (COVID-19) pandemic has resulted in profound disruptions across the globe, with school closures, social isolation, job loss, illness, and death affecting the lives of children and families in myriad ways. In an Editors' Note in our June 2020 issue,1 our senior editorial team described this Journal's role in advancing knowledge in child and adolescent mental health during the pandemic and outlined areas we identified as important for science and practice in our field. Since then, the Journal has published articles on the impacts of the pandemic on child and adolescent mental health and service systems,2-5 which are available in a special collection accessible through the Journal's website.6 Alongside many opinion papers, the pace of publication of empirical research in this area is rapidly expanding, covering important issues such as increased frequency of mental health symptoms among children and adolescents3,5,7-10 and changes in patterns of clinical service use such as emergency department visits.11-14 As the Senior Editors prepared that Editors' Note, they were acutely aware that the priorities that they identified were broad and generated by only a small group of scientists and clinicians. Although this had the advantage of enabling us to get this information out to readers quickly, we decided that a more systematic approach to developing recommendations for research priorities would be of greater long-term value. We were particularly influenced by the efforts of the partnership between the UK Academy of Medical Scientists and a UK mental health research charity (MQ: Transforming Mental Health) to detail COVID-19-related research priorities for "Mental Health Science" that was published online by Holmes et al. in The Lancet Psychiatry in April 2020.15 Consistent with its focus on mental health research across the lifespan, several recommendations highlighted child development and children's mental health. However, a more detailed assessment of research priorities related to child and adolescent mental health was beyond the scope of that paper. Furthermore, the publication of that position paper preceded the death of George Floyd at the hands of Minneapolis police on May 25, 2020, which re-energized efforts to acknowledge and to address racism and healthcare disparities in the United States and many other countries. To build upon the JAACAP Editors' Note1 and the work of Holmes et al.,15 we conducted an international survey of professionals-practitioners and researchers-working on child and adolescent development and pediatric mental health to identify concerns about the impact of the pandemic on children, adolescents, and their families, as well as what is helping families navigate these impacts, and the specific research topics that are of greatest importance.

Prioritized Research for the Prevention, Treatment, and Reversal of Chronic Disease: Recommendations From the Lifestyle Medicine Research Summit.

Declining life expectancy and increasing all-cause mortality in the United States have been associated with unhealthy behaviors, socioecological factors, and preventable disease. A growing body of basic science, clinical research, and population health evidence points to the benefits of healthy behaviors, environments and policies to maintain health and prevent, treat, and reverse the root causes of common chronic diseases. Similarly, innovations in research methodologies, standards of evidence, emergence of unique study cohorts, and breakthroughs in data analytics and modeling create new possibilities for producing biomedical knowledge and clinical translation. To understand these advances and inform future directions research, The Lifestyle Medicine Research Summit was convened at the University of Pittsburgh on December 4-5, 2019. The Summit's goal was to review current status and define research priorities in the six core areas of lifestyle medicine: plant-predominant nutrition, physical activity, sleep, stress, addictive behaviors, and positive psychology/social connection. Forty invited subject matter experts (1) reviewed existing knowledge and gaps relating lifestyle behaviors to common chronic diseases, such as cardiovascular disease, diabetes, many cancers, inflammatory- and immune-related disorders and other conditions; and (2) discussed the potential for applying cutting-edge molecular, cellular, epigenetic and emerging science knowledge and computational methodologies, research designs, and study cohorts to accelerate clinical applications across all six domains of lifestyle medicine. Notably, federal health agencies, such as the Department of Defense and Veterans Administration have begun to adopt "whole-person health and performance" models that address these lifestyle and environmental root causes of chronic disease and associated morbidity, mortality, and cost. Recommendations strongly support leveraging emerging research methodologies, systems biology, and computational modeling in order to accelerate effective clinical and population solutions to improve health and reduce societal costs. New and alternative hierarchies of evidence are also be needed in order to assess the quality of evidence and develop evidence-based guidelines on lifestyle medicine. Children and underserved populations were identified as prioritized groups to study. The COVID-19 pandemic, which disproportionately impacts people with chronic diseases that are amenable to effective lifestyle medicine interventions, makes the Summit's findings and recommendations for future research particularly timely and relevant.

Gaining resilience and reducing stress in the age of COVID-19.

PURPOSE OF REVIEW: The world is experiencing the evolving situation associated with the outbreak of the Corona Virus Disease-2019 (COVID-19) virus, and there is more of need than ever for stress management and self-care. In this article, we will define the physiological, psychological and social aspects, stages, and components of stress reactions in the context of COVID-19, review the relevant literature on stress reactions, and offer some guidance on how to help patients mitigate the physiological and psychological impact of the pandemic through resilience-building techniques. RECENT FINDINGS: There is continued evidence that the fight or flight response involves activation throughout the body at physiological, biochemical and immune levels. This response can be mitigated through increasing parasympathetic nervous system activation as well as cognitive and behavioral interventions. SUMMARY: This article will review the stress, provide a theoretical layout to predict upcoming response, and offer clinicians some practical interventions to employ as the stress of the COVID-19 pandemic continues.