Examining the Dose-Response Relationship in the Veterans Health Administration's MOVE!(®) Weight Management Program: A Nationwide Observational Study

The TOTAL trial for weight management participation: A randomized controlled trial protocol

BACKGROUND

The three types of evidence-based treatment options for adults with overweight and obesity - behavioral weight management, anti-obesity medications (AOM), and bariatric surgery - are underutilized in the Veterans Health Administration (VHA) system. Our objective in this manuscript is to describe the study protocol for an adequately powered randomized controlled trial (RCT) of a behavioral intervention: TOTAL (Teaching Obesity Treatment Options to Adult Learners) to increase patient uptake of obesity treatment.

METHODS

In this multi-site, parallel, RCT, eligible Veterans with a body mass index [BMI] ≥ 27 who had not received obesity treatment within the past 12 months were randomly assigned to TOTAL or usual care. TOTAL involves watching an 18-min video that highlights obesity health risks, pros/cons of all three evidence-based obesity treatments, and expected treatment outcomes. It also includes motivational sessions delivered via televideo at 2 weeks, 6 months, and 12 months after the video (target n = 494 participants). The primary outcome is initiation of behavioral weight management treatment within 18 months of randomization. Secondary outcomes include sustained behavioral weight management treatment, initiation of AOM, bariatric surgery referral, and weight change across 18 months.

CONCLUSION

TOTAL, which seeks to increase delivery of weight management treatment within the largest integrated health system in the U.S., combines patient education with motivational interviewing components. If efficacious in this trial, further evaluation of intervention effectiveness and implementation throughout the VHA and other healthcare systems would be warranted.

Protocol for a prospective, randomized, controlled trial of Mental Contrasting with Implementation Intentions (MCII) to enhance the effectiveness of VA's MOVE! weight management program: WOOP (Wish, Outcome, Obstacle, Plan) VA

INTRODUCTION

Intensive weight management programs are effective but often have low enrollment and high attrition. Lack of motivation is a key psychological barrier to enrollment, engagement, and weight loss. Mental Contrasting with Implementation Intentions (MCII) is a unique imagery technique that increases motivation for behavior change. We describe our study protocol to assess the efficacy and implementation of MCII to enhance the effectiveness of VA's MOVE! or TeleMOVE! weight management programs using a procedure called "WOOP" (Wish, Outcome, Obstacle, Plan) for Veterans. We hypothesize that WOOP+MOVE! or TeleMOVE! (intervention) will lead to greater MOVE!/TeleMOVE! program engagment and consequently weight loss than MOVE!/TeleMOVE! alone (control).

METHOD

Veterans are randomized to either the intervention or control. Both arms receive the either MOVE! or TeleMOVE! weight management programs. The intervention group receives an hour long WOOP training while the control group receives patient education. Both groups receive telephone follow up calls at 3 days, 4 weeks, and 2 months post-baseline. Eligible participants are Veterans (ages 18-70 years) with either obesity (BMI ≥ 30 kg/m2) or overweight (BMI ≥ 25 kg/m2) and an obesity-associated co-morbidity. At baseline, 6 and 12 months, we assess weight, diet, physical activity in both groups. The primary outcome is mean percent weight change at 6 months. Secondary outcomes include changes in waist circumference, diet, physical activity, and dieting self-efficacy and engagement in regular physical activity. We assess implementation using the RE-AIM framework.

CONCLUSION

If WOOP VA is found to be efficacious, it will be an important tool to facilitate weight management and improve weight outcomes.

CLINICAL TRIAL REGISTRATION

NCT05014984.

Association between a national behavioral weight management program and real-world weight change

OBJECTIVE

In a national cohort of Veterans, weight change was compared between participants in a US Department of Veterans Affairs (VA) behavioral weight management program (MOVE!) and matched non-participants, and between high-intensity and low-intensity participants.

METHODS

Retrospective cohort study of Veterans with 1 + MOVE! visits in 2008-2017 were matched to MOVE! non-participants via sequential stratification. Percent weight change up to two years after MOVE! initiation of participants and non-participants was modeled using generalized additive mixed models, and 1-year weight change of high-intensity or low-intensity participants was also compared.

RESULTS

MOVE! participants (n = 499,696) and non-participant controls (n = 1,336,172) were well-matched, with an average age of 56 years and average BMI of 35. MOVE! participants lost 1.4 % at 12 months and 1.2 % at 24 months, which was 0.89 % points (95 % CI: 0.83-0.96) more at 12 months than non-participants and 0.55 % points (95 % CI: 0.41-0.68) more at 24 months. 9.1 % of MOVE! participants had high-intensity use in one year, and they had 2.38 % point (95 % CI: 2.25-2.52) greater weight loss than low-intensity participation at 12 months (2.8 % vs 0.4 %).

CONCLUSIONS

Participation in VA's system-wide behavioral weight management program (MOVE!) was associated with modest weight loss, suggesting that program modifications are needed to increase Veteran engagement and program effectiveness. Future research should further explore how variations in program delivery and the use of newer anti-obesity medications may impact the program's effectiveness.

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.

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.

Clinical and Cost Benefits of Anti-Obesity Medication for US Veterans Participating in the MOVE! Weight Management Program

Abstract This study investigated the clinical and economic impact of anti-obesity medications (AOMs; orlistat, liraglutide, phentermine/topiramate extended-release [ER], naltrexone ER/bupropion ER) among United States Veterans with obesity participating in Motivating Overweight/Obese Veterans Everywhere! (MOVE!), a government-initiated weight management program. The study population was identified from electronic medical records of the Veterans Health Administration (2010-2020). Clinical indices of obesity and health care resource utilization and costs were evaluated at 6, 12, and 24 months after the initial dispensing of an AOM in the AOM+MOVE! cohort (N = 3732, mean age 57 years, 79% male) or on the corresponding date of an inpatient or outpatient encounter in the MOVE! cohort (N = 7883, mean age 58 years, 81% male). At 6 months postindex, the AOM+MOVE! cohort had better cardiometabolic indices (eg, systolic blood pressure, diastolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, hemoglobin A1c) than the MOVE! cohort, with the trends persisting at 12 and 24 months. The AOM+MOVE! cohort was significantly more likely than the MOVE! cohort to have weight decreases of 5%-10%, 10%-15%, and >15% and lower body mass index at 6, 12, and 24 months. The AOM+MOVE! cohort also had fewer inpatient and emergency department visits than the MOVE! cohort, which was associated with lower mean total medical costs including inpatient costs. These results suggest that combining AOM treatment with the MOVE! program could yield long-term cost savings for the Veterans Affairs network and meaningful clinical improvements for Veterans with obesity.

Body Mass Index Trajectories Across the Adult Life Course and Pancreatic Cancer Risk

BACKGROUND

Body mass index (BMI) during adulthood has been associated with pancreatic ductal adenocarcinoma (PDAC), however, patterns of body size across the adult life course have not been studied extensively. We comprehensively evaluated the association between adiposity across adulthood and PDAC.

METHODS

We conducted a prospective analysis of 269 480 (162 735 males, 106 745 females) National Institutes of Health-AARP Diet and Health Study participants, aged 50-71 years (1995-1996) who self-reported height and weight history. Participants were followed through December 31, 2011. We examined associations between BMI (kg/m2) at ages 18, 35, 50, and 50-71 (baseline) years, their trajectories determined from latent-class trajectory modeling, and incident PDAC. Cox proportional hazard models were used to calculate multivariable adjusted hazards ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

During up to 15.2 years of follow-up, 3092 (2020 males, 1072 females) patients with incident PDAC were identified. BMI at all 4 ages were statistically significantly associated with increased PDAC (per 5-unit increase, HR = 1.09-1.13) with higher magnitude associations in males than females at ages 35 years and older (Pinteraction < .05). Four BMI trajectories were created. Compared with normal-weight maintainers, normal-to-overweight, normal-to-obese class I, and overweight-to-obese class III trajectories had hazard ratios of 1.15 (95% CI = 1.06 to 1.25), 1.39 (95% CI = 1.25 to 1.54), and 1.48 (95% CI = 1.18 to 1.87), respectively (Pinteraction by sex = .07).

CONCLUSIONS

High BMI and BMI trajectories that result in overweight or obesity during adulthood were positively associated with PDAC, with stronger associations among those with early onset adiposity and those with male sex. Avoidance of excess body weight throughout the adult life course may prevent PDAC.

Continuous quality improvement at the frontline: One interdisciplinary clinical team's four-year journey after completing a virtual learning program

Background

The Veterans Health Administration (VHA) is the largest integrated health system in the U.S. and has identified the learning health system as a strategic priority. Clinicians and staff engaging in active learning through continuous quality improvement (QI) is a key pillar for learning system maturity. An interdisciplinary frontline team at a VHA medical center participated in the Learn. Engage. Act. Process. (LEAP) virtual coaching program to learn how to conduct multidisciplinary team-based QI cycles of change. These clinicians lead and deliver the MOVE! weight management program, an evidence-based comprehensive lifestyle intervention. The team worked to continuously improve patient weight loss by engaging in incremental learning cycles of change. The aim of this study is to tell the story of this team's learning experience and the resulting positive reinforcing loop with patient outcomes.

Methods

This is a mixed methods case study description of one team that participated in the LEAP Program that provides hands-on QI learning for frontline teams with virtual coaching and a structured curriculum. Autoethnographic qualitative descriptions of team experiences over time illustrate this team's continued engagement in learning loops. Multilevel linear modeling was used to assess patient outcomes before vs after the team's participation in LEAP.

Results

The team's participation in LEAP provided a set of fundamental QI skills and established a commitment to continual learning. Incremental improvements led to significant weight loss for patients who participated in MOVE! after the team completed LEAP (mean = 9.80 pounds; SD 10.43) compared to the pre-LEAP time period (mean = -6.83 pounds; SD 9.63).

Conclusions

Despite competing priorities and time limitations, this team's experiences provide a positive vision of how team engagement in data-driven continuous learning is feasible at the frontline and can lead to higher job satisfaction and stronger teams. These types of team activities provide much-needed backbone to being a mature learning health system.

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.

Association of Cardiovascular Disease and Military Veteran Status With Impairments in Physical and Psychological Functioning: Retrospective Cross-Sectional Analysis of US National Survey Data

INTRODUCTION

The Veterans Health Administration (VHA) provides multidisciplinary team-based care with peer-to-peer support for diabetes and obesity, but not for most heart diseases.

OBJECTIVE

To inform disease-care models, assess physical and psychological functioning in veterans with, or at high risk of, heart disease.

METHODS

Retrospective, cross-sectional cohort analysis of data from the National Survey on Drug Use and Health, 2015-2019, based on standard measures of functioning: self-rated health, serious psychological distress, and high-risk substance use. Cohorts were veterans with respondent-reported heart disease, or at high risk of cardiovascular disease based on age/comorbidity combinations (HD/risk); nonveterans with HD/risk; and veterans without HD/risk. Ordinal logistic regression models adjusted for demographics, social determinants of health, and chronic conditions. A priori alpha was set to 0.01 because of large sample size (N = 28,314).

RESULTS

Among those with HD/risk, veterans (n = 3,483) and nonveterans (n = 16,438) had similar physical impairments, but distress trended higher among veterans (adjusted odds ratio = 1.36, 99% confidence interval [CI] = 0.99-1.86). Among those with comorbid HD/risk and behavioral health problems, regression-adjusted treatment rates were similar for veterans and nonveterans with psychological symptoms (55.9% vs. 55.2%, respectively, P = 0.531) or high-risk substance use (18.7% vs. 19.4%, P = .547); veterans were more likely to receive outpatient mental health treatment (36.1% [CI = 34.4%-37.8%] vs. 28.9% [CI = 28.2%-29.6%]).

CONCLUSION

An upward trend in distress among veterans compared with nonveterans with HD/risk was not explained by differences in behavioral health treatment utilization. Further research should test multidisciplinary team-based care for veterans with HD/risk, similar to that used for other chronic diseases.

The Most Undertreated Chronic Disease: Addressing Obesity in Primary Care Settings

PURPOSE OF REVIEW

While obesity-related comorbidities are frequently addressed and treated in primary care (PC), obesity itself is undertreated. We review the current treatments for obesity and provide potential provider and system-level strategies for integrating weight management and improving longer term obesity care within PC settings.

RECENT FINDINGS

We now understand that the body develops multiple mechanisms to resist weight loss and promote weight regain, making both weight loss and weight loss maintenance challenging. Therefore, weight management often requires medically supervised interventions and should be treated on a long-term basis. However, there are multiple barriers to improving obesity care within PC settings. Clinically, utilizing strategies such as a shared decision-making approach and the 5As to discuss treatment options can facilitate formulating an obesity treatment plan. Utilizing telehealth, a team-based approach, and community partnering can increase patient access to intensive behavioral interventions. Future studies should evaluate other cost-effective methods to implement obesity care into the PC setting.

Rapid conversion to virtual obesity care in COVID-19: Impact on patient care, interdisciplinary collaboration, and training

Objective

The COVID‐19 pandemic presents challenges to maintaining interdisciplinary collaboration while transitioning care to telehealth environments. This paper describes how an intensive weight management clinic rapidly transitioned from in‐person only to a telehealth environment.

Method

As a program evaluation project, changes to clinic procedures were tracked on a weekly basis. Patients were invited to complete phone surveys after clinic appointments from 1 May 2020 to 31 July 2020. The survey included 12 items rated on a 5‐point scale (“strongly disagree” to “strongly agree”).

Results

Adaptations included converting team meetings and clinical training to phone/video platforms and transferring a complex patient tracking system to an interactive virtual format. Fifty‐eight patients completed phone surveys (81% response rate). All “agreed” or “strongly agreed” that they were satisfied with telehealth care; 51% “agreed” or “strongly agreed” that telephone visits were as good as in‐person visits; and 53% preferred phone appointments even after pandemic restrictions are eased.

Conclusions

It is feasible to rapidly transition to a telehealth clinic when supported by infrastructure and resources of a national, integrated healthcare system. Patient preferences include access to both telehealth and in‐person services. A blended telehealth/in‐person model that maintains interdisciplinary collaboration and training is necessary even after the COVID‐19 pandemic.

Impact of military culture and experiences on eating and weight-related behavior

Disordered eating behaviors and obesity are becoming increasingly common among United States military personnel. However, little research has explored the role of the military environment as it may influence the development of disordered eating among personnel. The present qualitative analysis examined beliefs about how military experiences affected eating and weight-related behaviors. Military personnel who served within the last year and a year or more ago (n = 250) were recruited using Amazon's Mechanical Turk (mTurk). Data included in the present study consisted of participant responses to three open-ended questions, analyzed by means of content and thematic analysis. Analyses yielded eight themes: eating extremely quickly, strict mealtime regimens, the pressure to "make weight," food insecurity, difficulty after military, food quality/content, overeating behavior, and military superior maltreatment. The current study provides a preliminary examination of the role of the military culture and experiences in the development of unhealthy eating and weight-related behaviors and offers suggestions for future research and interventions.

Protocol and short-term results for a feasibility randomized controlled trial of a video intervention for Veterans with obesity: The TOTAL (Teaching Obesity Treatment Options to Adult Learners) pilot study

Introduction

All three evidence-based treatment options for adults with severe obesity – behavioral weight management, weight management medications (WMM), and bariatric surgery – are underutilized in the Veterans Health Administration (VHA) system. Our objective in this study was to develop and pilot-test the TOTAL (Teaching Obesity Treatment Options to Adult Learners) intervention, which seeks to increase Veteran participation in obesity treatment.

Methods

In this single-site, parallel, pilot RCT, Veterans with severe obesity with an upcoming behavioral weight management visit were sent a recruitment letter after meeting inclusion/exclusion criteria via electronic health record screening. Eligible Veterans were randomized to TOTAL or usual care. TOTAL consisted of an 18-min video highlighting obesity health risks and treatment outcomes, eligibility criteria, and pros/cons of all three evidence-based obesity treatments. The primary outcomes were trial design feasibility (recruitment and retention rates) and acceptability to Veterans, which was assessed via semi-structured interviews with participants one week after randomization to TOTAL. Secondary outcomes included attitudes and self-efficacy to initiate treatment one week post-randomization and BMI change six months post-randomization (assessed via Cohen's d).

Results

Forty-two Veterans were randomized (recruitment rate = 47.2%), and 40/42 completed one-week assessments (retention rate = 95.2%). The mean participant age was 59.2 ± 11.9 years. Female and non-White participants comprised 14.3% and 11.9% of the cohort, respectively. Semi-structured interviews with all 20 participants who received TOTAL suggested that the delivery logistics and content of TOTAL were acceptable to Veterans. Attitudes toward behavioral weight management and bariatric surgery and weight loss improved in TOTAL vs. usual care patients (Cohen's d ranging from 0.3 to 0.6).

Conclusions

TOTAL was feasible to implement, acceptable to Veterans, and has the potential to increase obesity treatment participation in VHA. An adequately powered RCT is warranted to assess its impact on population-level weight loss.

Trial registration

ClinicalTrials.gov NCT03856320.

Deriving Weight from Big Data: A Comparison of Body Weight Measurement Cleaning Algorithms (Preprint)

Background

Patient body weight is a frequently used measure in biomedical studies, yet there are no standard methods for processing and cleaning weight data. Conflicting documentation on constructing body weight measurements presents challenges for research and program evaluation.

Objective

In this study, we aim to describe and compare methods for extracting and cleaning weight data from electronic health record databases to develop guidelines for standardized approaches that promote reproducibility.

Methods

We conducted a systematic review of studies published from 2008 to 2018 that used Veterans Health Administration electronic health record weight data and documented the algorithms for constructing patient weight. We applied these algorithms to a cohort of veterans with at least one primary care visit in 2016. The resulting weight measures were compared at the patient and site levels.

Results

We identified 496 studies and included 62 (12.5%) that used weight as an outcome. Approximately 48% (27/62) included a replicable algorithm. Algorithms varied from cutoffs of implausible weights to complex models using measures within patients over time. We found differences in the number of weight values after applying the algorithms (71,961/1,175,995, 6.12% to 1,175,177/1,175,995, 99.93% of raw data) but little difference in average weights across methods (93.3, SD 21.0 kg to 94.8, SD 21.8 kg). The percentage of patients with at least 5% weight loss over 1 year ranged from 9.37% (4933/52,642) to 13.99% (3355/23,987).

Conclusions

Contrasting algorithms provide similar results and, in some cases, the results are not different from using raw, unprocessed data despite algorithm complexity. Studies using point estimates of weight may benefit from a simple cleaning rule based on cutoffs of implausible values; however, research questions involving weight trajectories and other, more complex scenarios may benefit from a more nuanced algorithm that considers all available weight data.

Sustaining the reach of a scalable weight loss intervention through financial incentives- a pragmatic, feasibility, online randomized trial protocol

BACKGROUND

High attrition following initial enrollment in evidence-based weight loss programs is a common, challenging, and under-studied issue. A behavioral economics approach consisting of modest monetary incentives may help to engage participants beyond enrollment to close the initial attrition gap.

PURPOSE

To describe the methods and design of a pragmatic, online randomized controlled trial (RCT) of an incentivized, technology-facilitated weight loss program through an innovative research-practice partnership involving primary care, health promotion researchers, and a small business.

METHODS

This study is a four-arm (1:1:1:1) RCT that compares the efficacy of outcome-based (weight loss), process-based (weighing in), a combination of outcome- and process-based, or choice-based incentives on sustaining program reach after initial enrollment for an evidence-based weight loss program. The multicomponent weight loss program includes a website, social cognitive theory-based daily health coaching, tailored messaging delivered via email and text messaging, access to online health coaches, and objective weight assessment through a community kiosk. The study will enroll 400 individuals aged 19 and older who have a body mass index ≥25 kg/m², and have reliable access to the Internet or a smart phone. Participants will be followed for 3, 6, 9, and 12 months to assess program reach and representativeness, and continued participation after enrollment. The secondary outcomes include weight loss and program implementation costs. We will conduct participant focus groups to understand the barriers and facilitators of participation and key informant interviews focusing on clinic managers and care providers to explore the potential for future adoption and implementation of the evidence-based program.

DISCUSSION

This study possesses the potential to close the attrition gap after initial enrollment in a web-based digital weight loss intervention in the primary care and community settings. Clinicaltrials.gov registration: NCT04225234.

Construction and Use of Body Weight Measures from Administrative Data in a Large National Health System: A Systematic Review

OBJECTIVE

Administrative data are increasingly used in research and evaluation yet lack standardized guidelines for constructing measures using these data. Body weight measures from administrative data serve critical functions of monitoring patient health, evaluating interventions, and informing research. This study aimed to describe the algorithms used by researchers to construct and use weight measures.

METHODS

A structured, systematic literature review of studies that constructed body weight measures from the Veterans Health Administration was conducted. Key information regarding time frames and time windows of data collection, measure calculations, data cleaning, treatment of missing and outlier weight values, and validation processes was collected.

RESULTS

We identified 39 studies out of 492 nonduplicated records for inclusion. Studies parameterized weight outcomes as change in weight from baseline to follow-up (62%), weight trajectory over time (21%), proportion of participants meeting weight threshold (46%), or multiple methods (28%). Most (90%) reported total time in follow-up and number of time points. Fewer reported time windows (54%), outlier values (51%), missing values (34%), or validation strategies (15%).

CONCLUSIONS

A high variability in the operationalization of weight measures was found. Improving methods to construct clinical measures will support transparency and replicability in approaches, guide interpretation of findings, and facilitate comparisons across studies.

Eating Disorders and Overweight/Obesity in Veterans: Prevalence, Risk Factors, and Treatment Considerations

PURPOSE OF REVIEW

Eating disorders (EDs) and overweight/obesity (OW/OB) have a significant impact on veterans. This review highlights current research on EDs and OW/OB in this population.

RECENT FINDINGS

Prevalence estimates for both EDs and OW/OB among veterans remain consistent with and possibly higher than those in the general population. Both diagnoses share multiple risk factors, including trauma history, and mental health comorbidities. Although weight loss treatments have been fairly well studied among veteran samples, there are no published investigations on psychotherapies for EDs in this population. The Veterans Healthcare Administration is working to train providers in ED treatments. VHA treatments for OW/OB show some benefits and areas for improvement. Areas for future research include structured assessments for EDs and disordered eating behaviors in veterans to clarify prevalence estimates. There is a need for interventions that consider common mechanisms for ED and OW/OB, and there is a need for more research on the associations between different types of trauma and ED/OW/OB in veterans.

Women Veterans Experience with the VA MOVE! Weight Management Program

Background: Obesity prevalence is higher in women veterans overall than their civilian counterparts considering 44% of women veterans are obese. Thus, there is a critical need to understand the facilitators and barriers to women veterans' participation in weight management programs. The objective of this study is to explore facilitators and barriers to weight loss for women veterans enrolled in the Veterans Health Administration Motivating Overweight/Obese Veterans Everywhere (VA MOVE!) weight management program and gather feedback on the design and delivery of the MOVE! program.

Materials and Methods: Primary qualitative data were collected from women veterans who completed at least one MOVE! visit via semistructured telephone interviews. Two authors independently reviewed transcripts for data-derived codes. A content analysis approach was used within the software to code the transcripts.

Results: The mean age of participants was 52 years. Sixty-eight percent (N = 17/25) were black, and 52% (N = 13/25) lived >64 kilometers from the location of the MOVE! program. Facilitators to participation included both intrinsic (e.g., drive to become healthy) and extrinsic (e.g., drive to improve laboratories) motivating factors. Women expressed difficulty with learning in a group setting and applying lessons to their everyday lives. Others reported the setup of group classes triggered their post-traumatic stress disorder and prevented them from fully participating in the program. Additional barriers included distance traveled to group sessions and lack of access to exercise space.

Conclusions: Our results illuminate barriers and facilitators to engagement in the MOVE! program. Many of the barriers highlighted by these women veterans mirror barriers civilian women face, highlighting the possibility that our results could be applied to other programs designed to target weight loss in women.

Association of Food Access, Recreational Opportunities, and Natural Amenities with Engagement in the Veterans MOVE! Weight Management Program

OBJECTIVE

The aim of this study was to examine the association of county-level food access, recreational opportunities, and natural amenities with participant engagement in a weight management program.

METHODS

In this cohort study, participants in the Veterans Health Administration MOVE! weight management program between October 1, 2007, and September 30, 2013, were observed for 12 months after enrollment. Engagement was measured as the number of program visits per year at 12 months. Cross-sectional analysis and spatial regression were used to examine county characteristics associated with greater participant engagement at 12 months.

RESULTS

A total of 321,624 participants in 2,708 counties were included. Greater engagement was associated with older age, female sex, white race, being married, and being retired. After accounting for similarities between nearby communities, engagement at 12 months was 3.1 visits higher for each additional farmers' market per 1,000 population (P = 0.01). Engagement was highest for participants living in counties with the most natural amenities (P < 0.001). Recreational opportunities had only a small effect on engagement in the program (β = 0.02 visits at 12 months; P = 0.002).

CONCLUSIONS

Consideration of a participant's county characteristics in addition to other known demographics and program factors may help to explain variation in engagement in weight management programs.

Effect of a group medical clinic for veterans with diabetes on body mass index

Objective

To assess the impact of a group medical clinic designed for patient with type 2 diabetes mellitus and hypertension on body mass index.

Methods

Using data from a randomized trial of 239 veterans with type 2 diabetes mellitus, we performed a secondary analysis using analysis of covariance mixed models to explore the effect of a 12-month group medical clinic intervention on change in body mass index vs. usual care. In an exploratory subgroup analysis, we compared change in body mass index between treatment arms stratified by whether patients had >0.5% reduction in hemoglobin A1c at 12 months.

Results

Baseline body mass index was 33.5 kg/m2. At 12 months, there was no significant difference in change in body mass index between treatment arms (estimate=−0.02, 95% CI −0.51 to 5.05; P = 0.94); body mass index increased by approximately 0.20 points in both groups. There was also no significant difference in change in body mass index between treatment arms by whether or not patients had >0.5% reduction in hemoglobin A1c (estimate=−0.14, 95% CI −1.21 to −0.92; P = 0.79).

Discussion

Improved glycemic control was not associated with improved body mass index in the group medical clinic intervention. Given their positive effects on other outcomes, group medical clinics for patients with type 2 diabetes mellitus may be more beneficial if focus is shifted towards weight loss.

Precision medicine in adult and pediatric obesity: a clinical perspective

It remains largely unknown as to why some individuals experience substantial weight loss with obesity interventions, while others receiving these same interventions do not. Person-specific characteristics likely play a significant role in this heterogeneity in treatment response. The practice of precision medicine accounts for an individual's genes, environment, and lifestyle when deciding upon treatment type and intensity in order to optimize benefit and minimize risk. In this review, we first discuss biopsychosocial determinants of obesity, as understanding the complexity of this disease is necessary for appreciating how difficult it is to develop individualized treatment plans. Next, we present literature on person-specific characteristics associated with, and predictive of, weight loss response to various obesity treatments including lifestyle modification, pharmacotherapy, metabolic and bariatric surgery, and medical devices. Finally, we discuss important gaps in our understanding of the causes of obesity in relation to the suboptimal treatment outcomes in certain patients, and offer solutions that may lead to the development of more effective and targeted obesity therapies.

Likelihood of Meeting Physical Activity Guidelines of Veterans Who Are Obese by Disability Status

PURPOSE

The purpose of this study was to explore the likelihood of meeting the physical activity guidelines in veterans who are obese by disability status.

DESIGN

We used data from the 2017 Behavioral Risk Factor Surveillance System, a cross-sectional telephone survey. The mean response rate was 44.9%.

SETTING

Respondents came from all 50 states, District of Columbia, and 3 US territories.

PATIENTS

Respondents included veterans self-reporting being obese (N = 13 798).

MEASURES

We created a mutually exclusive disability variable: no disability, multiple disability, and limitations only with hearing, vision, cognitive, mobility, Activities of Daily Living, or Instrumental Activities of Daily Living. Physical activity guidelines were defined as 150 minutes/week of aerobic activity and 2 days/week of strength activities.

ANALYSIS

Prevalence ratios (PRs) were calculated by performing separate log-binomial regression models for meeting strength and aerobic recommendations on veterans who were obese.

RESULTS

Obese veterans with mobility limitations only or multiple disabilities were significantly less likely to meet the aerobic (PR = 0.74, P = .002 and PR = .62, P = .021, respectively) or strength (PR = .76, P < .001 and PR = 0.74, P < .001, respectively) recommendations, compared to not having a disability (n = 7964).

CONCLUSIONS

Inactivity could be explained by a lack of inclusive weight loss programs for veterans with disabilities and barriers to physical activity encountered by people with disabilities. Two primary limitations of this study are self-report of obesity and physical activity and exclusion of adults in institutional settings.

Patient Characteristics Associated with Receipt of Prescription Weight-Management Medications Among Veterans Participating in MOVE!

OBJECTIVE

Weight-management medications (WMM) are recommended for the treatment of obesity. This study examined characteristics associated with initial receipt of WMM among eligible veterans in the first year following enrollment in the Veterans Health Administration (VHA) MOVE! behavioral weight-management program.

METHODS

We conducted a retrospective cohort study of VHA patients with obesity or overweight and obesity-related comorbidities who enrolled in MOVE! from October 2013 to September 2016 (N = 153,939). Multivariable logistic regression models estimated predictors of having a filled prescription for WMM and for orlistat.

RESULTS

A total of 1.1% of these veterans received WMM. The most common WMM included orlistat (70.4%), phentermine/topiramate (11.2%), and bupropion/naltrexone (9.7%). Female sex, higher BMI, obstructive sleep apnea, osteoarthritis, depression, lower back pain, and alcohol abuse were associated with greater odds of use of WMM, whereas age over 65 years, Hispanic ethnicity, and required co-payments were associated with lower odds. Among patients receiving WMM, older age, black race, female sex, higher BMI, cardiovascular disease, lower back pain, and congestive heart failure were associated with use of orlistat versus any other WMM.

CONCLUSIONS

Of patients engaged in MOVE! in the VHA, 1.1% received WMM. WMM are underutilized among veterans. Additional research is needed to understand barriers to incorporating WMM into comprehensive obesity treatment plans.

Weight Reduction Goal Achievement Among Veterans With Mental Health Diagnoses

BACKGROUND: Despite the use of weight management programs among veterans, the impact of mental health diagnoses on weight reduction goal achievement is unknown. AIMS: We aimed to describe the prevalence and association of mental health diagnoses with a 5% weight reduction goal achievement. METHODS: Logistic regression was used to describe the association between mental health diagnoses and weight reduction goal achievement at 6, 12, and 24 months among 402 veterans enrolled in a weight management program. RESULTS: More than 43% of veterans had a mental health diagnoses, with depressive disorders, posttraumatic stress disorder (PTSD), and substance use disorders being the most prevalent. At all three times, simply having a mental health diagnosis was not associated with weight reduction goal achievement. Specific diagnoses were associated with a greater likelihood of achieving weight reduction goals at 12 months (PTSD and Drug Use Disorder) and 24 months (Anxiety Disorder and Other Mental Health Diagnosis). CONCLUSION: The findings suggest that unhealthy weight is quite common for individuals with mental health diagnoses; however, weight reduction goal achievement may be equally likely for those with and without mental health diagnoses. The prevalence of mental health diagnoses among veterans seeking weight reduction suggests that psychiatric nurses should be aware of this common comorbidity.

A review and critique of published real-world weight management program studies

BACKGROUND

Beyond the essential but somewhat artificial conditions that typify formal clinical studies, real-world evidence (RWE) of weight loss program effectiveness is paramount for an accurate assessment of such programs and refinement of best practices.

OBJECTIVES

To evaluate the current state of RWE studies and publications on weight loss, identify the range of weight loss components being used in RWE programs, and to provide a general overview of the consistency or lack of consistency with regard to measuring and reporting outcomes.

METHODS

A structured search of PubMed was performed to identify relevant English-language publications from 2006 to December 2017 that reported real-world studies of weight loss among adults. Duplicates, non-relevant publications, articles on weight loss surgery, pediatric studies, randomized controlled trials, studies with self-reported weight loss, no objective weight measures, or that failed to include weight loss results were excluded.

RESULTS

This review included 62 RWE publications. Forty-nine studies included dietary intervention, 37 included exercise, 29 included motivational counseling, and 5 contained some patients who had pharmacologic treatment as part of their weight loss regimen. The numbers of participants per study ranged from 10 to more than 3 million. The interventions reported in the publications included diet, exercise, counseling to promote diet and/or exercise, motivational counseling, and pharmacotherapy, and various combinations of these.

CONCLUSIONS

Despite general acceptance that weight loss programs are capable of facilitating successful outcomes, this review revealed substantial inconsistency in the design and reporting of such programs, making it very difficult to draw conclusions about the comparative merits of different real-world weight loss strategies/components. In addition, there was a marked lack of congruence with current weight loss management guidelines, and notably few studies incorporating anti-obesity medications. There clearly is a need for greater rigor and standardization among designing and reporting RWE weight-loss studies.

Long-Term Weight Loss Effects of a Behavioral Weight Management Program: Does the Community Food Environment Matter?

This study examined whether community food environments altered the longer-term effects of a nationwide behavioral weight management program on body mass index (BMI). The sample was comprised of 98,871 male weight management program participants and 15,385 female participants, as well as 461,302 and 37,192 inverse propensity-score weighted matched male and female controls. We measured the community food environment by counting the number of supermarkets, convenience stores, and fast food restaurants within a 1-mile radius around each person's home address. We used difference-in-difference regression models with person and calendar time fixed effects to estimate MOVE! effects over time in sub-populations defined by community food environment attributes. Among men, after an initial decrease in BMI at 6 months, the effect of the program decreased over time, with BMI increasing incrementally at 12 months (0.098 kg/m², p < 0.001), 18 months (0.069 kg/m², p < 0.001), and 24 months (0.067 kg/m², p < 0.001). Among women, the initial effects of the program decreased over time as well. Women had an incremental BMI change of 0.099 kg/m² at 12 months (p < 0.05) with non-significant incremental changes at 18 months and 24 months. We found little evidence that these longer-term effects of the weight management program differed depending on the community food environment. Physiological adaptations may overwhelm environmental influences on adherence to behavioral regimens in affecting longer-term weight loss outcomes.

Cost effectiveness and return on investment of a scalable community weight loss intervention

This study assessed the lifetime health and economic consequences of an efficacious scalable community weight loss program for overweight and obese adults. We applied a state-transition Markov model to project lifetime economic outcome (US dollar) and the degree of disease averted as a result of a weight loss intervention, compared with no intervention, from a payer perspective. Effect sizes of the intervention on weight loss, by sex, race and ethnicity, and body mass index (BMI) of participants, were derived from a 12-month community program. Relative risk of diseases across BMI levels and other parameters were informed by the literature. A return on investment (ROI) analysis was conducted to present the overall cost-benefit of the program. Simulation results showed that among 33,656 participants and at a cost of $2.88 million, the program was predicted to avert (with a corresponding estimated medical costs saved of) 78 cases of coronary heart disease ($28 million), 9 cases of strokes ($971,832), 92 cases of type 2 diabetes ($24 million), 1 case of colorectal cancer ($357,022), and 3 cases of breast cancer ($483,259) over the participant lifetime. The estimated medical costs saved per participant was $1403 ($1077 of African American men and $1532 of Hispanic men), and the ROI was $16.7 ($12.8 for African American men and $18.3 for Hispanic men) for every $1 invested. We concluded that a scalable efficacious community weight loss program provides a cost-effective approach with significant ROI, which will assist informed decisions for future adoption and dissemination.