Equity in Digital Mental Health Interventions in the United States: Where to Next?

Health care technologies have the ability to bridge or hinder equitable care. Advocates of digital mental health interventions (DMHIs) report that such technologies are poised to reduce the documented gross health care inequities that have plagued generations of people seeking care in the United States. This is due to a multitude of factors such as their potential to revolutionize access; mitigate logistical barriers to in-person mental health care; and leverage patient inputs to formulate tailored, responsive, and personalized experiences. Although we agree with the potential of DMHIs to advance health equity, we articulate several steps essential to mobilize and sustain meaningful forward progression in this endeavor, reflecting on decades of research and learnings drawn from multiple fields of expertise and real-world experience. First, DMHI manufacturers must build diversity, equity, inclusion, and belonging (DEIB) processes into the full spectrum of product evolution itself (eg, product design, evidence generation) as well as into the fabric of internal company practices (eg, talent recruitment, communication principles, and advisory boards). Second, awareness of the DEIB efforts-or lack thereof-in DMHI research trials is needed to refine and optimize future study design for inclusivity as well as proactively address potential barriers to doing so. Trials should incorporate thoughtful, inclusive, and creative approaches to recruitment, enrollment, and measurement of social determinants of health and self-identity, as well as a prioritization of planned and exploratory analyses examining outcomes across various groups of people. Third, mental health care advocacy, research funding policies, and local and federal legislation can advance these pursuits, with directives from the US Preventive Services Taskforce, National Institutes of Health, and Food and Drug Administration applied as poignant examples. For products with artificial intelligence/machine learning, maintaining a "human in the loop" as well as prespecified and adaptive analytic frameworks to monitor and remediate potential algorithmic bias can reduce the risk of increasing inequity. Last, but certainly not least, is a call for partnership and transparency within and across ecosystems (academic, industry, payer, provider, regulatory agencies, and value-based care organizations) to reliably build health equity into real-world DMHI product deployments and evidence-generation strategies. All these considerations should also extend into the context of an equity-informed commercial strategy for DMHI manufacturers and health care organizations alike. The potential to advance health equity in innovation with DMHI is apparent. We advocate the field's thoughtful and evergreen advancement in inclusivity, thereby redefining the mental health care experience for this generation and those to come.

A System-Level Approach to Overweight and Obesity in the Veterans Health Administration.

Healthcare systems are challenged by steady increases in the number of patients who are overweight and obese. Large-scale, evidence-based behavioral approaches for addressing overweight and obesity have been successfully implemented in systems such as the Veterans Health Administration (VHA). These population-based interventions target reduction in risk for obesity-associated conditions through lifestyle change and weight loss, and are associated with modest weight loss. Despite the fact that VHA has increased the overall reach of these behavioral interventions, the number of high-risk overweight and obese patients continues to rise. Recommendations for weight loss medications and bariatric surgery are included in clinical practice guidelines for the management of overweight and obesity, but these interventions are underutilized. During a recent state of the art conference on weight management held by VHA, subject matter experts identified challenges and gaps, as well as potential solutions and overarching policy recommendations, for implementing an integrated system-wide approach for improving population-based weight management.

State of the art conference on weight management in VA: Policy and research recommendations for advancing behavioral interventions.

This article summarizes outcomes of the behavioral interventions work group for the Veterans Health Administration (VHA) State of the Art Conference (SOTA) for Weight Management. Sixteen VHA and non-VHA subject matter experts, representing clinical care delivery, research, and policy arenas, participated. The work group reviewed current evidence of efficacy, effectiveness, and implementation of behavioral interventions for weight management, participated in phone- and online-based consensus processes, generated key questions to address gaps, and attended an in-person conference in March 2016. The work group agreed that there is strong evidence for efficacy and effectiveness of core behavioral intervention components and processes, but insufficient evidence to determine the comparative effectiveness of multiple clinician-delivered weight management modalities, as well as technologies that may or may not supplement clinician-delivered treatments. Effective strategies for implementation of weight management services in VHA were identified. The SOTA work group's foremost policy recommendations are to establish a system-wide culture for weight management and to identify a population-level health metric to measure the impact of weight management interventions that can be tracked and clearly communicated throughout VHA. The work group's top research recommendation is to determine how to deploy and scale the most effective behavioral weight management interventions for Veterans.

Banbury Forum Consensus Statement on the Path Forward for Digital Mental Health Treatment.

A major obstacle to mental health treatment for many Americans is accessibility: the United States faces a shortage of mental health providers, resulting in federally designated shortage areas. Although digital mental health treatments (DMHTs) are effective interventions for common mental disorders, they have not been widely adopted by the U.S. health care system. National and international expert stakeholders representing health care organizations, insurance companies and payers, employers, patients, researchers, policy makers, health economists, and DMHT companies and the investment community attended two Banbury Forum meetings. The Banbury Forum reviewed the evidence for DMHTs, identified the challenges to successful and sustainable implementation, investigated the factors that contributed to more successful implementation internationally, and developed the following recommendations: guided DMHTs should be offered to all patients experiencing common mental disorders, DMHT products and services should be reimbursable to support integration into the U.S. health care landscape, and an evidence standards framework should be developed to support decision makers in evaluating DMHTs.

Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up.

OBJECTIVE: To assist health professionals who counsel patients with overweight and obesity, a systematic review was undertaken to determine types of weight-loss interventions that contribute to successful outcomes and to define expected weight-loss outcomes from such interventions. DESIGN: A search was conducted for weight-loss-focused randomized clinical trials with >or=1-year follow-up. Eighty studies were identified and are included in the evidence table. OUTCOMES MEASURES: The primary outcomes were a measure of weight loss at 6, 12, 24, 36, and 48 months. Eight types of weight-loss interventions-diet alone, diet and exercise, exercise alone, meal replacements, very-low-energy diets, weight-loss medications (orlistat and sibutramine), and advice alone-were identified. By using simple pooling across studies, subjects mean amount of weight loss at each time point for each intervention was determined. STATISTICAL ANALYSES PERFORMED: Efficacy outcomes were calculated by meta-analysis and provide support for the pooled data. Hedges' gu was combined across studies to obtain an average effect size (and confidence level). RESULTS: A mean weight loss of 5 to 8.5 kg (5% to 9%) was observed during the first 6 months from interventions involving a reduced-energy diet and/or weight-loss medications with weight plateaus at approximately 6 months. In studies extending to 48 months, a mean 3 to 6 kg (3% to 6%) of weight loss was maintained with none of the groups experiencing weight regain to baseline. In contrast, advice-only and exercise-alone groups experienced minimal weight loss at any time point. CONCLUSIONS: Weight-loss interventions utilizing a reduced-energy diet and exercise are associated with moderate weight loss at 6 months. Although there is some regain of weight, weight loss can be maintained. The addition of weight-loss medications somewhat enhances weight-loss maintenance.

Investing in Obesity Treatment: Kaiser Permanente's Approach to Chronic Disease Management.

Kaiser Permanente, an integrated health care delivery system in the USA, takes a "whole systems" approach to the chronic disease of obesity that begins with efforts to prevent it by modifying the environment in communities and schools. Aggressive case-finding and substantial investment in intensive lifestyle modification programs target individuals at high risk of diabetes and other weight-related conditions. Kaiser Permanente regions are increasingly standardizing their approach when patients with obesity require treatment intensification using medically supervised diets, prescription medication to treat obesity, or weight loss surgery.

Obesity in the kaiser permanente patient population and positive outcomes of online weight-management programs.

We review what is known about the effects of obesity in the Kaiser Permanente (KP) population and discuss outcomes for two nationally available effective online programs, HealthMedia Balance(®) (Balance) and 10,000 Steps(®). Obese KP patients often have health problems related to overweight and report difficulties with self-care, yet with the proper support, they can avail themselves of effective treatment to manage both obesity and associated conditions that affect quality of life. Clinicians should be aware of potential problems with functional status and self-care in their obese patients, provide brief assessment and advice, and refer obese patients to effective national and regional weight-management programs.