Weight management and physical activity throughout the cancer care continuum.

Mounting evidence suggests that weight management and physical activity (PA) improve overall health and well being, and reduce the risk of morbidity and mortality among cancer survivors. Although many opportunities exist to include weight management and PA in routine cancer care, several barriers remain. This review summarizes key topics addressed in a recent National Academies of Science, Engineering, and Medicine workshop entitled, "Incorporating Weight Management and Physical Activity Throughout the Cancer Care Continuum." Discussions related to body weight and PA among cancer survivors included: 1) current knowledge and gaps related to health outcomes; 2) effective intervention approaches; 3) addressing the needs of diverse populations of cancer survivors; 4) opportunities and challenges of workforce, care coordination, and technologies for program implementation; 5) models of care; and 6) program coverage. While more discoveries are still needed for the provision of optimal weight-management and PA programs for cancer survivors, obesity and inactivity currently jeopardize their overall health and quality of life. Actionable future directions are presented for research; practice and policy changes required to assure the availability of effective, affordable, and feasible weight management; and PA services for all cancer survivors as a part of their routine cancer care. CA Cancer J Clin 2018;68:64-89. © 2017 American Cancer Society.

Association Between a National Behavioral Weight Management Program and Veterans Affairs Health Expenditures.

OBJECTIVE: The association between participation in a behavioral weight intervention and health expenditures has not been well characterized. We compared Veterans Affairs (VA) expenditures of individuals participating in MOVE!, a VA behavioral weight loss program, and matched comparators 2 years before and 2 years after MOVE! initiation. METHODS: Retrospective cohort study of Veterans who had one or more MOVE! visits in 2008-2017 who were matched contemporaneously to up to 3 comparators with overweight or obesity through sequential stratification on an array of patient characteristics, including sex. Baseline patient characteristics were compared between the two cohorts through standardized mean differences. VA expenditures in the 2 years before MOVE! initiation and 2 years after initiation were modeled using generalized estimating equations with a log link and distribution with variance proportional to the standard deviation (gamma). RESULTS: MOVE! participants (n=499,696) and comparators (n=1,336,172) were well-matched, with an average age of 56, average body mass index of 35, and similar total VA expenditures in the fiscal year before MOVE! initiation ($9662 for MOVE! participants and $10,072 for comparators, standardized mean difference=-0.019). MOVE! participants had total expenditures that were statistically lower than matched comparators in the 6 months after initiation but modestly higher in the 6 months to 2 years after initiation, though differences were small in magnitude (1.0%-1.6% differences). CONCLUSIONS: The VA's system-wide behavioral weight intervention did not realize meaningful short-term health care cost savings for participants.

Black Veterans Experiences with and Recommendations for Improving Weight-Related Health Care: A Photovoice Study.

BACKGROUND: Non-Hispanic Black or African American (hereafter Black) veterans lose less weight than other users of the Veterans Health Administration's (VHA) weight management program (MOVE!), despite higher enrollment. OBJECTIVE: To understand factors that affect weight loss disparities between Black veterans and other veterans. DESIGN: Qualitative study using Photovoice methods. PARTICIPANTS: Self-identified Black veterans in MOVE! across the USA (two women, seven men). APPROACH: We conducted six virtual Photovoice sessions with Black veterans. Session one provided orientation to the goal of understanding factors that might affect weight loss disparities. Participants chose missions related to weight management and VHA care, bringing photos or other media (e.g., poems) to discuss during remaining sessions. Facilitators/participants identified themes related to each session in real time. Between and after sessions, facilitators/investigators conducted rapid qualitative analysis of transcripts/audio to group similar themes, identify illustrative quotes/photos/other media, and prepare dissemination products (e.g., this manuscript). Participants provided feedback on the manuscript during an additional session. KEY RESULTS: Themes were identified across three categories: (1) Food in Our Lives and Health Care; (2) Body Image; and (3) Healthcare Bias and Discrimination. The emotional impact of food and the negative effects of bias and discrimination on health care quality and trust were especially salient. Participants provided recommendations for weight-related and general care. Notable recommendations included the need for VHA to hire and retain providers-especially Black providers-who understand and respect Black patients and are committed to delivering evidence-based, culturally sensitive care. In addition, weight management care should be tailored to individual patients' diets and health beliefs and deemphasize body mass index. CONCLUSIONS: Photovoice resulted in concrete targets that could reduce health disparities. Institutions should consider Photovoice and similar approaches to build trust with and incorporate input from marginalized communities. This approach requires sustained commitment from leaders to engage stakeholders and implement solutions.

Real World Use of Anti-Obesity Medications and Weight Change in Veterans.

BACKGROUND: Anti-obesity medications (AOMs) can be initiated in conjunction with participation in the VA national behavioral weight management program, MOVE!, to help achieve clinically meaningful weight loss. OBJECTIVE: To compare weight change between Veterans who used AOM + MOVE! versus MOVE! alone and examine AOM use, duration, and characteristics associated with longer duration of use. DESIGN: Retrospective cohort study using VA electronic health records. PARTICIPANTS: Veterans with overweight or obesity who participated in MOVE! from 2008-2017. MAIN MEASURES: Weight change from baseline was estimated using marginal structural models up to 24 months after MOVE! initiation. The probability of longer duration of AOM use (≥ 180 days) was estimated via a generalized linear mixed model. RESULTS: Among MOVE! participants, 8,517 (1.6%) used an AOM within 24 months after MOVE! initiation with a median of 90 days of cumulative supply. AOM + MOVE! users achieved greater weight loss than MOVE! alone users at 6 (3.2% vs. 1.6%, p < 0.001), 12 (3.4% vs. 1.4%, p < 0.001), and 24 months (2.7% vs. 1.5%, p < 0.001), and had a greater probability of achieving ≥ 5% weight loss at 6 (38.8% vs. 26.0%, p < 0.001), 12 (43.1% vs. 28.4%, p < 0.001), and 24 months (40.4% vs. 33.3%, p < 0.001). Veterans were more likely to have ≥ 180 days of supply if they were older, exempt from medication copays, used other medications with significant weight-gain, significant weight-loss, or modest weight-loss side effects, or resided in the West North Central or Pacific regions. Veterans were less likely to have ≥ 180 days of AOM supply if they had diabetes or initiated MOVE! later in the study period. CONCLUSIONS: AOM use following MOVE! initiation was uncommon, and exposure was time-limited. AOM + MOVE! was associated with a higher probability of achieving clinically significant weight loss than MOVE! alone.

Development and Psychometric Assessment of the Weight and Eating Quality of Life (WE-QOL) Scale in US Military Veterans.

BACKGROUND: The Veterans Health Administration (VHA) is in need of population health approaches to address overweight and obesity-related diseases. BMI serves as a simple, blunt metric to monitor these efforts. However, emerging research has demonstrated that healthcare weigh-ins contribute to weight stigma which paraodoxically is associated with weight gain. An alternative metric is urgently needed for VHA's MOVE!® Weight Management Program and other eating- and weight-related services. OBJECTIVE: To develop a brief population health metric called the Weight and Eating Quality of Life (WE-QOL) Scale and assess its psychometric properties. DESIGN: The literature was reviewed for relevant weight- and eating-specific QOL measures to identify unique and overlapping constructs. Eight items, representing these constructs, comprised the new brief WE-QOL Scale. A survey study was conducted with data analyzed in STATA. PARTICIPANTS: A total of 213 consecutively evaluated US Veterans attending an orientation session for MOVE!. MAIN MEASURES: The WE-QOL Scale, as well as a widely used generic health-related QOL measure, the European Quality of Life Screener (EQ-ED-5L), and relevant validated measures. KEY RESULTS: WE-QOL descriptive findings demonstrated severe impacts on physical activity and physical discomfort for approximately 30% of the sample each; moderate-to-severe impacts on daily responsibilities, emotional distress, and shame and guilt for one-third of the sample each and public distress for one-fourth of the sample. The WE-QOL Scale performed as well as, or better than, the EQ-ED-5L for internal consistency (Cronbach's alpha = 0.91) and associations to relevant constructs (BMI, eating pathology, and physical activity). CONCLUSIONS: Findings support the reliability and construct validity of the WE-QOL Scale. The WE-QOL Scale has potential to provide a standardized population health metric that could be used as a screening tool and clinical reminder to identify, refer, and assess outcomes for Veterans with weight and disordered eating issues. Future research could be targeted at using this measure to improve patient care and quality of care.

A Qualitative Study of the System-level Barriers to Bariatric Surgery Within the Veterans Health Administration.

OBJECTIVE: To characterize system-level barriers to bariatric surgery from the perspectives of Veterans with severe obesity and obesity care providers. SUMMARY OF BACKGROUND DATA: Bariatric surgery is the most effective weight loss option for Veterans with severe obesity, but fewer than 0.1% of Veterans with severe obesity undergo it. Addressing low utilization of bariatric surgery and weight management services is a priority for the veterans health administration. METHODS: We conducted semi-structured interviews with Veterans with severe obesity who were referred for or underwent bariatric surgery, and providers who delivered care to veterans with severe obesity, including bariatric surgeons, primary care providers, registered dietitians, and health psychologists. We asked study participants to describe their experiences with the bariatric surgery delivery process in the VA system. All interviews were audio-recorded and transcribed. Four coders iteratively developed a codebook and used conventional content analysis to identify relevant systems or "contextual" barriers within Andersen Behavioral Model of Health Services Use. RESULTS: Seventy-three semi-structured interviews with veterans (n = 33) and providers (n = 40) throughout the veterans health administration system were completed. More than three-fourths of Veterans were male, whereas nearly three-fourths of the providers were female. Eight themes were mapped onto Andersen model as barriers to bariatric surgery: poor care coordination, lack of bariatric surgery guidelines, limited primary care providers and referring provider knowledge about bariatric surgery, long travel distances, delayed referrals, limited access to healthy foods, difficulties meetings preoperative requirements, and lack of provider availability and/or time. CONCLUSIONS: Addressing system-level barriers by improving coordination of care and standardizing some aspects of bariatric surgery care may improve access to evidence-based severe obesity care within VA.

National Veterans Health Administration MOVE! Weight Management Program Participation During the COVID-19 Pandemic.

INTRODUCTION: In response to COVID-19, the Veterans Health Administration (VHA) converted appropriate outpatient visits to virtual care, including MOVE! Weight Management Program for Veterans (MOVE!) visits. Before the pandemic, most veterans participated in MOVE! in person, with several telehealth modalities available. We sought to describe national trends in MOVE! participation during the pandemic (March 2020-January 2021) overall and by modality and to compare participation to prepandemic levels. METHODS: We conducted a national retrospective cohort study of veterans who participated in MOVE! from January 2018 through January 2021. We examined MOVE! participation across VHA aggregated at the national level by month, including the number of visits, participants, and new participants in person and via telehealth, including telephone, clinic-to-clinic synchronous video, anywhere-to-anywhere (eg, provider home to patient home) synchronous video, and remote education and monitoring. We also determined the percentage of all MOVE! visits attributable to each modality and the monthly percentage change in participation during the pandemic compared with monthly averages in prior years. RESULTS: Before March 2020, 20% to 30% of MOVE! was delivered via telehealth, which increased to 90% by April 2020. Early in the pandemic, telephone-delivered MOVE! was the most common modality, but anywhere-to-anywhere synchronous video participation increased over time. Compared with the same months in prior years, total monthly MOVE! participation remained 20% to 40% lower at the end of 2020 and into January 2021. CONCLUSION: The VHA MOVE! program rapidly shifted to telehealth delivery of weight management services in response to the pandemic. However, a gap remained in the number of veterans receiving these services compared with prior years, suggesting potential unmet needs for weight management.

The LEAP Program: Quality Improvement Training to Address Team Readiness Gaps Identified by Implementation Science Findings.

BACKGROUND: Integrating evidence-based innovations (EBIs) into sustained use is challenging; most implementations in health systems fail. Increasing frontline teams' quality improvement (QI) capability may increase the implementation readiness and success of EBI implementation. OBJECTIVES: Develop a QI training program ("Learn. Engage. Act. Process." (LEAP)) and evaluate its impact on frontline obesity treatment teams to improve treatment delivered within the Veterans Health Administration (VHA). DESIGN: This was a pre-post evaluation of the LEAP program. MOVE! coordinators (N = 68) were invited to participate in LEAP; 24 were randomly assigned to four starting times. MOVE! coordinators formed teams to work on improvement aims. Pre-post surveys assessed team organizational readiness for implementing change and self-rated QI skills. Program satisfaction, assignment completion, and aim achievement were also evaluated. PARTICIPANTS: VHA facility-based MOVE! teams. INTERVENTIONS: LEAP is a 21-week QI training program. Core components include audit and feedback reports, structured curriculum, coaching and learning community, and online platform. MAIN MEASURES: Organizational readiness for implementing change (ORIC); self-rated QI skills before and after LEAP; assignment completion and aim achievement; program satisfaction. KEY RESULTS: Seventeen of 24 randomized teams participated in LEAP. Participants' self-ratings across six categories of QI skills increased after completing LEAP (p< 0.0001). The ORIC measure showed no statistically significant change overall; the change efficacy subscale marginally improved (p < 0.08), and the change commitment subscale remained the same (p = 0.66). Depending on the assignment, 35 to 100% of teams completed the assignment. Nine teams achieved their aim. Most team members were satisfied or very satisfied (81-89%) with the LEAP components, 74% intended to continue using QI methods, and 81% planned to continue improvement work. CONCLUSIONS: LEAP is scalable and does not require travel or time away from clinical responsibilities. While QI skills improved among participating teams and most completed the work, they struggled to do so amid competing clinical priorities.

Facility-level conditions leading to higher reach: a configurational analysis of national VA weight management programming.

BACKGROUND: While the Veterans Health Administration (VHA) MOVE! weight management program is effective in helping patients lose weight and is available at every VHA medical center across the United States, reaching patients to engage them in treatment remains a challenge. Facility-based MOVE! programs vary in structures, processes of programming, and levels of reach, with no single factor explaining variation in reach. Configurational analysis, based on Boolean algebra and set theory, represents a mathematical approach to data analysis well-suited for discerning how conditions interact and identifying multiple pathways leading to the same outcome. We applied configurational analysis to identify facility-level obesity treatment program arrangements that directly linked to higher reach. METHODS: A national survey was fielded in March 2017 to elicit information about more than 75 different components of obesity treatment programming in all VHA medical centers. This survey data was linked to reach scores available through administrative data. Reach scores were calculated by dividing the total number of Veterans who are candidates for obesity treatment by the number of "new" MOVE! visits in 2017 for each program and then multiplied by 1000. Programs with the top 40 % highest reach scores (n = 51) were compared to those in the lowest 40 % (n = 51). Configurational analysis was applied to identify specific combinations of conditions linked to reach rates. RESULTS: One hundred twenty-seven MOVE! program representatives responded to the survey and had complete reach data. The final solution consisted of 5 distinct pathways comprising combinations of program components related to pharmacotherapy, bariatric surgery, and comprehensive lifestyle intervention; 3 of the 5 pathways depended on the size/complexity of medical center. The 5 pathways explained 78 % (40/51) of the facilities in the higher-reach group with 85 % consistency (40/47). CONCLUSIONS: Specific combinations of facility-level conditions identified through configurational analysis uniquely distinguished facilities with higher reach from those with lower reach. Solutions demonstrated the importance of how local context plus specific program components linked together to account for a key implementation outcome. These findings will guide system recommendations about optimal program structures to maximize reach to patients who would benefit from obesity treatment such as the MOVE!

Dissemination of cognitive behavioral therapy for substance use disorders in the Department of Veterans Affairs Health Care System: Description and evaluation of Veteran outcomes.

BACKGROUND: As part of the nation's largest dissemination and implementation of evidence-based psychotherapies (EBPs) and the promotion of EBPs for substance use disorders (SUDs), the Veterans Health Administration (VHA) is working to nationally implement Cognitive Behavioral Therapy for SUD (CBT-SUD). The current manuscript describes the approach to system-wide training and reports Veteran outcomes associated with CBT-SUD implementation. Methods: Four-hundred fifty-eight Veterans with a range of treatment goals received treatment through the Department of Veterans Affairs (VA) CBT-SUD Training Program. Veteran outcomes related to substance use, substance use-related problems, and quality of life were assessed with the Brief Addiction Monitor, the Short Inventory of Problems, and the World Health Organization Quality of Life-BREF. Results: Statistically significant reductions in alcohol use, heavy alcohol use, other drug use, and substance use-related problems, as well as significant improvements in quality of life, were observed over the course of treatment. Conclusions: Program evaluation findings suggest that large-scale training in and implementation of EBPs for SUDs is associated with improvements in substance use and other functional outcomes. Limitations from this real-world implementation project, including the lack of a control group and missing post-treatment data, are discussed.