Feasibility of a family-involved intervention to increase engagement in evidenced-based psychotherapies for posttraumatic stress disorder: A pilot study.

OBJECTIVE: To assess the feasibility of a family-involved intervention, family support in mental health recovery (FAMILIAR), for veterans with posttraumatic stress disorder (PTSD) seeking psychotherapy at a single Veterans Administration Health System. METHOD: This mixed-methods study reports qualitative and quantitative findings from a single-group pilot of 24 veterans and their support partners (SPs) about experiences with the intervention and interviews with eight VA mental health clinicians and leaders and the study interventionist to explore intervention feasibility. Findings across data sources were merged within domains of Bowen and colleagues' pilot study feasibility framework. RESULTS: Out of 24 dyads, 16 veterans and 15 associated SPs completed the intervention. Participants viewed the intervention to be valuable and feasible. Veterans and SPs reported that they enrolled in the study to develop a shared understanding of PTSD and treatment. While participants identified few logistical barriers, finding a time for conjoint sessions could be a challenge. Veterans, SPs, and providers discussed benefits of the intervention, including that it facilitated conversation between the veteran and SP about PTSD and mental health care and helped to prepare the dyad for treatment. Providers noted potential challenges integrating family-involved interventions into clinical workflow in VA and suggested the need for additional training and standardized procedures for family-centered care. CONCLUSIONS: Our study identified potential implementation facilitators (e.g., standard operating procedures about session documentation, confidentiality, and family ethics) and challenges (e.g., clinical workflow integration) that require further study to bring FAMILIAR into routine clinical care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Rolling out PRIDE in All Who Served: Barriers and Facilitators for Sites Implementing an LGBTQ+ Health Education Group for Military Veterans.

BACKGROUND/OBJECTIVE: The Veterans Health Administration (VHA) PRIDE in All Who Served health education group (PRIDE) was developed to improve health equity and access to care for military veterans who are lesbian, gay, bisexual, transgender, queer, and/or other sexual/gender-diverse identities (LGBTQ+). This 10-week program rapidly spread to over 30 VHA facilities in 4 years. Veterans receiving PRIDE experience improved LGBTQ+ identity-related resilience and reductions in suicide attempt likelihood. Despite PRIDE's rapid spread across facilities, information is lacking on implementation determinants. The current study's goal was to clarify determinants of PRIDE group implementation and sustainment. METHODS: A purposive sample of VHA staff (N = 19) with experience delivering or implementing PRIDE completed teleconference interviews January-April 2021. The interview guide was informed by the Consolidated Framework for Implementation Research. Rapid qualitative matrix analysis was completed with methods to ensure rigor (e.g., triangulation and investigator reflexivity). RESULTS: Key barriers and facilitators of PRIDE implementation were heavily related to facility inner setting (what is happening inside the facility), including implementation readiness (e.g., leadership support for LGBTQ+-affirming programming, access to LGBTQ+-affirming care training) and facility culture (e.g., systemic anti-LGBTQ+ stigma). Several implementation process facilitators enhanced engagement at sites, such as a centrally facilitated PRIDE learning collaborative and a formal process of contracting/training for new PRIDE sites. DISCUSSION/CONCLUSION: Although aspects of the outer setting and larger societal influences were mentioned, the majority of factors impacting implementation success were at the VHA facility level and therefore may be more readily addressable through tailored implementation support. The importance of LGBTQ+ equity at the facility level indicates that implementation facilitation should ideally address institutional equity in addition to implementation logistics. Combining effective interventions with attention to local implementation needs will be required before LGBTQ+ veterans in all areas will benefit from PRIDE and other health equity-focused interventions.

Exploring the importance of predisposing, enabling, and need factors for promoting Veteran engagement in mental health therapy for post-traumatic stress: a multiple methods study.

PURPOSE: This study explored Veteran and family member perspectives on factors that drive post-traumatic stress disorder (PTSD) therapy engagement within constructs of the Andersen model of behavioral health service utilization. Despite efforts by the Department of Veterans Affairs (VA) to increase mental health care access, the proportion of Veterans with PTSD who engage in PTSD therapy remains low. Support for therapy from family members and friends could improve Veteran therapy use. METHODS: We applied a multiple methods approach using data from VA administrative data and semi-structured individual interviews with Veterans and their support partners who applied to the VA Caregiver Support Program. We integrated findings from a machine learning analysis of quantitative data with findings from a qualitative analysis of the semi-structured interviews. RESULTS: In quantitative models, Veteran medical need for health care use most influenced treatment initiation and retention. However, qualitative data suggested mental health symptoms combined with positive Veteran and support partner treatment attitudes motivated treatment engagement. Veterans indicated their motivation to seek treatment increased when family members perceived treatment to be of high value. Veterans who experienced poor continuity of VA care, group, and virtual treatment modalities expressed less care satisfaction. Prior marital therapy use emerged as a potentially new facilitator of PTSD treatment engagement that warrants more exploration. CONCLUSIONS: Our multiple methods findings represent Veteran and support partner perspectives and show that amid Veteran and organizational barriers to care, attitudes and support of family members and friends still matter. Family-oriented services and intervention could be a gateway to increase Veteran PTSD therapy engagement.

Provider-supported self-management cognitive behavioral therapy for insomnia (Tele-Self CBTi): Protocol for a randomized controlled trial.

BACKGROUND: Cognitive Behavioral Therapy for Insomnia (CBTi) is recommended as first-line treatment for insomnia, yet patient access to CBTi is limited. Self-help CBTi could increase patient access. Self-help CBTI with provider sup]port is more effective and is preferred by patients. Self-help CBTi has not been evaluated in veterans; a population with greater medical and mental health morbidity and more severe sleep difficulties than non-veterans. Moreover, those with mental health conditions have been largely excluded from prior CBTi self-help trials. Stablishing the efficacy of provider-supported Self-help CBTi is an important first step for expanding veteran access to CBTi. METHODS: In a 2-armed randomized controlled trial, a provider-supported self-help CBTi (Tele-Self CBTi) is compared to Health Education for improving insomnia severity (primary outcome) among treatment-seeking veterans with insomnia disorder. Tele-Self CBTi is comprised of two treatment components: self-help CBTi via a professionally designed manual developed using an iterative process of expert review and patient input; and 6 telephone-based support sessions lasting >20 min. Outcomes are assessed at baseline, 8 weeks, and 6 months after baseline. The primary outcome, insomnia severity, is measured using the Insomnia Severity Index. Secondary outcomes include self-reported and actigraphy-assessed sleep, fatigue, depression symptoms, and sleep-related quality of life. CONCLUSION: Innovative approaches are essential to improving overall health among veterans; a population with highly prevalent insomnia disorder. If effective, Tele-Self CBTi may bridge the gap between unavailable resources and high demand for CBTi and serve as the entry level intervention in a stepped model of care. GOV IDENTIFIER: NCT03727438.

Adapting a family-involved intervention to increase initiation and completion of evidenced-based psychotherapy for posttraumatic stress disorder.

Posttraumatic stress disorder (PTSD) is disabling condition among United States Veterans. Training programs for evidenced-based therapies have been rolled out nationally in the Veterans Health Administration (VHA), but provider adoption of these treatments is limited and rates of Veteran dropout are high. Increasing support for mental health therapy within the Veteran's social network would improve treatment engagement. We discuss the adaptation of Recovery-Oriented Decisions for Relatives' Support (REORDER)-a family-based intervention for individuals with serious mental illness- to create Family Support in Mental Health Recovery (FAMILIAR), an intervention that seeks to strengthen support partners' abilities to help Veterans engage in therapy. Our goal was to apply modifications to meet the needs of Veterans with PTSD and their support partners. We used input from Veterans, support partners, clinicians and VA system leaders to inform the modifications. Then, a multi-disciplinary intervention development team met to determine which modifications would be applied and how. We used the domains from the Framework for Adaptations and Modification (FRAME) to systematically track and describe modifications. Adaptations made to REORDER included changes in content, structure, and delivery format. The resulting intervention, FAMILIAR, was a 3-4 session intervention beginning prior to EBP initiation and continuing through sessions 3, 4 or 5 of the EBP. Sessions were designed for maximum flexibility and could be offered either in-person or virtually, and sessions involve interactions between the interventionist with the Veteran and support partner alone and together. We learned the importance of including diverse stakeholder perspectives to develop a comprehensive understanding of the needs of the target population and the health system. While feasibility and effectiveness testing is needed, we applied a proactive adaptation approach that we anticipate will make FAMILIAR successful in addressing patient, clinical, and system considerations of a family approach to increase Veteran engagement in PTSD treatment.

Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization.

OBJECTIVE: Population segmentation has been recognized as a foundational step to help tailor interventions. Prior studies have predominantly identified subgroups based on diagnoses. In this study, we identify clinically coherent subgroups using social determinants of health (SDH) measures collected from Veterans at high risk of hospitalization or death. STUDY DESIGN AND SETTING: SDH measures were obtained for 4684 Veterans at high risk of hospitalization through mail survey. Eleven self-report measures known to impact hospitalization and amenable to intervention were chosen a priori by the study team to identify subgroups through latent class analysis. Associations between subgroups and demographic and comorbidity characteristics were calculated through multinomial logistic regression. Odds of 180-day hospitalization were compared across subgroups through logistic regression. RESULTS: Five subgroups of high-risk patients emerged-those with: minimal SDH vulnerabilities (8% hospitalized), poor/fair health with few SDH vulnerabilities (12% hospitalized), social isolation (10% hospitalized), multiple SDH vulnerabilities (12% hospitalized), and multiple SDH vulnerabilities without food or medication insecurity (10% hospitalized). In logistic regression, the "multiple SDH vulnerabilities" subgroup had greater odds of 180-day hospitalization than did the "minimal SDH vulnerabilities" reference subgroup (odds ratio: 1.53, 95% confidence interval: 1.09-2.14). CONCLUSION: Self-reported SDH measures can identify meaningful subgroups that may be used to offer tailored interventions to reduce their risk of hospitalization and other adverse events.

The association of alcohol use with all-cause and cardiovascular disease-related hospitalizations or death in older, high-risk Veterans.

BACKGROUND: The prevalence of alcohol misuse among older adults has grown dramatically in the past decade, yet little is known about the association of alcohol misuse with hospitalization and death in this patient population. METHODS: We examined the association between alcohol use (measured by a screening instrument in primary care) and rates of all-cause and cardiovascular disease (CVD)-related 6-month hospitalization or death via electronic health records (EHRs) in a nationally representative sample of older, high-risk Veterans. Models were adjusted for sociodemographic and clinical characteristics, including frailty and comorbid conditions. RESULTS: The all-cause hospitalization or death rate at 6 months was 14.9%, and the CVD-related hospitalization or death rate was 1.8%. In adjusted analyses, all-cause hospitalization or death was higher in older Veterans who were nondrinkers or harmful use drinkers compared to moderate use drinkers, but CVD-related hospitalization or death was similar in all categories of drinking. CONCLUSIONS: These findings suggest that the complex association between alcohol and all-cause acute healthcare utilization found in the broader population is similar in older, high-risk Veteran patients. These findings do not support an association between alcohol consumption and CVD-specific hospitalizations.

Patient-Reported Social and Behavioral Determinants of Health and Estimated Risk of Hospitalization in High-Risk Veterans Affairs Patients.

Importance: Despite recognition of the association between individual social and behavioral determinants of health (SDH) and patient outcomes, little is known regarding the value of SDH in explaining variation in outcomes for high-risk patients. Objective: To describe SDH factors among veterans who are at high risk for hospitalization, and to determine whether adding patient-reported SDH measures to electronic health record (EHR) measures improves estimation of 90-day and 180-day all-cause hospital admission. Design, Setting, and Participants: A survey was mailed between April 16 and June 29, 2018, to a nationally representative sample of 10 000 Veterans Affairs (VA) patients whose 1-year risk of hospitalization or death was in the 75th percentile or higher based on a VA EHR-derived risk score. The survey included multiple SDH measures, such as resilience, social support, health literacy, smoking status, transportation barriers, and recent life stressors. Main Outcomes and Measures: The EHR-based characteristics of survey respondents and nonrespondents were compared using standardized differences. Estimation of 90-day and 180-day hospital admission risk was assessed for 3 logistic regression models: (1) a base model of all prespecified EHR-based covariates, (2) a restricted model of EHR-based covariates chosen via forward selection based on minimizing Akaike information criterion (AIC), and (3) a model of EHR- and survey-based covariates chosen via forward selection based on AIC minimization. Results: In total, 4685 individuals (response rate 46.9%) responded to the survey. Respondents were comparable to nonrespondents in most characteristics, but survey respondents were older (eg, >80 years old, 881 [18.8%] vs 800 [15.1%]), comprised a higher percentage of men (4391 [93.7%] vs 4794 [90.2%]), and were composed of more White non-Hispanic individuals (3366 [71.8%] vs 3259 [61.3%]). Based on AIC, the regression model with survey-based covariates and EHR-based covariates better estimated hospital admission at 90 days (AIC, 1947.7) and 180 days (AIC, 2951.9) than restricted models with only EHR-based covariates (AIC, 1980.2 at 90 days; AIC, 2981.9 at 180 days). This result was due to inclusion of self-reported measures such as marital or partner status, health-related locus of control, resilience, smoking status, health literacy, and medication insecurity. Conclusions and Relevance: Augmenting EHR data with patient-reported social information improved estimation of 90-day and 180-day hospitalization risk, highlighting specific SDH factors that might identify individuals who are at high risk for hospitalization.

Association Between Bariatric Surgery and Long-term Health Care Expenditures Among Veterans With Severe Obesity.

Importance: Bariatric surgery has been associated with improvements in health in patients with severe obesity; however, it is unclear whether these health benefits translate into lower health care expenditures. Objective: To examine 10-year health care expenditures in a large, multisite retrospective cohort study of veterans with severe obesity who did and did not undergo bariatric surgery. Design, Setting, and Participants: A total of 9954 veterans with severe obesity between January 1, 2000, and September 30, 2011, were identified from veterans affairs (VA) electronic health records. Of those, 2498 veterans who underwent bariatric surgery were allocated to the surgery cohort. Sequential stratification was used to match each patient in the surgery cohort with up to 3 patients who had not undergone bariatric surgery but were of the same sex, race/ethnicity, diabetes status, and VA regional network and were closest in age, body mass index (calculated as weight in kilograms divided by height in meters squared), and comorbidities. A total of 7456 patients were identified and allocated to the nonsurgery (control) cohort. The VA health care expenditures among the surgery and nonsurgery cohorts were estimated using regression models. Data were analyzed from July to August 2018 and in April 2019. Interventions: The bariatric surgical procedures (n = 2498) included in this study were Roux-en-Y gastric bypass (1842 [73.7%]), sleeve gastrectomy (381 [15.3%]), adjustable gastric banding (249 [10.0%]), and other procedures (26 [1.0%]). Main Outcomes and Measures: The study measured total, outpatient, inpatient, and outpatient pharmacy expenditures from 3 years before surgery to 10 years after surgery, excluding expenditures associated with the initial bariatric surgical procedure. Results: Among 9954 veterans with severe obesity, 7387 (74.2%) were men; the mean (SD) age was 52.3 (8.8) years for the surgery cohort and 52.5 (8.7) years for the nonsurgery cohort. Mean total expenditures for the surgery cohort were $5093 (95% CI, $4811-$5391) at 7 to 12 months before surgery, which increased to $7448 (95% CI, $6989-$7936) at 6 months after surgery. Postsurgical expenditures decreased to $6692 (95% CI, $6197-$7226) at 5 years after surgery, followed by a gradual increase to $8495 (95% CI, $7609-$9484) at 10 years after surgery. Total expenditures were higher in the surgery cohort than in the nonsurgery cohort during the 3 years before surgery and in the first 2 years after surgery. The expenditures of the 2 cohorts converged 5 to 10 years after surgery. Outpatient pharmacy expenditures were significantly lower among the surgery cohort in all years of follow-up ($509 lower at 3 years before surgery and $461 lower at 7 to 12 months before surgery), but these cost reductions were offset by higher inpatient and outpatient (nonpharmacy) expenditures. Conclusions and Relevance: In this cohort study of 9954 predominantly older male veterans with severe obesity, total health care expenditures increased immediately after patients underwent bariatric surgery but converged with those of patients who had not undergone surgery at 10 years after surgery. This finding suggests that the value of bariatric surgery lies primarily in its associations with improvements in health and not in its potential to decrease health care costs.

Geographic Variation in Obesity, Behavioral Treatment, and Bariatric Surgery for Veterans.

OBJECTIVE: This study aims to describe geographic variation in veterans' prevalence of obesity, participation in Veterans Health Administration's behavioral weight management program (MOVE!), and receipt of bariatric surgery in fiscal year (FY) 2016. METHODS: In this retrospective cohort study of veterans with obesity who received Veterans Health Administration care in FY2016, electronic health record data were obtained on weight, height, outpatient visits to the MOVE! program, and bariatric surgeries. For each Veterans Integrated Service Network (VISN) region, the prevalence rate of veterans with obesity (BMI ≥ 30 kg/m2 ), MOVE! participation rates, and bariatric surgery rates are presented. RESULTS: The prevalence of obesity in veterans ranged from 30.5% to 40.5% across VISNs in FY2016. MOVE! participation among veterans with obesity was low (2.8%-6.9%) across all VISNs, but veterans with class II and III obesity (BMI ≥ 35) had higher MOVE! participation rates (4.3%-10.8%) than veterans with class I obesity. There was 20-fold variation across VISNs in receipt of bariatric surgery among veterans with BMI ≥ 35, ranging from 0.01% to 0.2%. Among veterans with BMI ≥ 35 participating in MOVE!, there was 46-fold variation in bariatric surgery provision, ranging from 0.07% to 3.27%. CONCLUSIONS: Despite veterans' high prevalence of obesity, behavioral and surgical weight management participation is low and varies across regions.

Survival among Veterans Obtaining Dialysis in VA and Non-VA Settings.

BACKGROUND: Outcomes of veterans with ESRD may differ depending on where they receive dialysis and who finances this care, but little is known about variation in outcomes across different dialysis settings and financial arrangements. METHODS: We examined survival among 27,241 Veterans Affairs (VA)-enrolled veterans who initiated chronic dialysis in 2008-2011 at (1) VA-based units, (2) community-based clinics through the Veterans Affairs Purchased Care program (VA-PC), (3) community-based clinics under Medicare, or (4) more than one of these settings ("dual" care). Using a Cox proportional hazards model, we compared all-cause mortality across dialysis settings during the 2-year period after dialysis initiation, adjusting for demographic and clinical characteristics. RESULTS: Overall, 4% of patients received dialysis in VA, 11% under VA-PC, 67% under Medicare, and 18% in dual settings (nearly half receiving dual VA and VA-PC dialysis). Crude 2-year mortality was 25% for veterans receiving dialysis in the VA, 30% under VA-PC, 42% under Medicare, and 23% in dual settings. After adjustment, dialysis patients in VA or in dual settings had significantly lower 2-year mortality than those under Medicare; mortality did not differ in VA-PC and Medicare dialysis settings. CONCLUSIONS: Mortality rates were highest for veterans receiving dialysis in Medicare or VA-PC settings and lowest for veterans receiving dialysis in the VA or dual settings. These findings inform institutional decisions about provision of dialysis for veterans. Further research identifying processes associated with improved survival for patients receiving VA-based dialysis may be useful in establishing best practices for outsourced veteran care.

Comparative Assessment of Utilization and Hospital Outcomes of Veterans Receiving VA and Non-VA Outpatient Dialysis.

OBJECTIVE: Growing demand for VA dialysis exceeds its supply and travel distances prohibit many Veterans from receiving dialysis in a VA facility, leading to increased use of dialysis from non-VA providers. This study compared utilization and hospitalization outcomes among Veterans receiving chronic dialysis in VA and non-VA settings in 2008-2013. DATA SOURCES: VA, Medicare, and national disease registry data. STUDY DESIGN: National cohort of 27,301 Veterans initiating dialysis, observed for a period of 2 years after treatment initiation. We used multinomial logistic regression to examine associations between patient characteristics and dialysis use in VA, non-VA community settings via VA Purchased Care (VA-PC), community settings via Medicare, or Dual settings. Zero-inflated negative binomial regression was used to compare risk of hospitalization and days spent in the hospital across dialysis settings. PRINCIPAL FINDINGS: Sixty-seven percent of Veterans obtained community-based dialysis exclusively via Medicare, 11 percent in the community via VA-PC, 4 percent in VA, and 18 percent in Dual settings. Financial and geographic access factors were important predictors of dialysis setting, but days spent in the hospital and risk of hospitalization did not differ meaningfully across settings. CONCLUSIONS: Most Veterans obtained dialysis in the community. Dialysis setting appeared to have little impact on risk of hospitalization among Veterans.

Systematic Review of Behavioral Weight Management Program MOVE! for Veterans.

CONTEXT: Since 2006, the Veterans Health Administration has delivered a population-based behavioral weight management program (MOVE!) to Veterans, which numerous studies have examined. The purpose of this study was to systematically review these studies to understand MOVE! participation rates and the association between MOVE! participation and weight change. EVIDENCE ACQUISITION: A December 2016 PubMed search identified 320 English-language abstracts published between January 1, 2005 and December 31, 2016, of which 42 underwent full-text review. Twenty-six articles were determined to be eligible for final inclusion and data elements extracted from these articles included study years, study design, content of MOVE! and control intervention (if any), inclusion/exclusion criteria, initial sample size and sample loss, intervention duration and follow-up, patient characteristics, and outcomes. Quality was assessed using the Newcastle-Ottawa Quality Scale. EVIDENCE SYNTHESIS: Studies were judged to be of good quality. Twenty-one of the 26 studies were retrospective cohort studies, one was a prospective cohort study and four were randomized trials. Program participation varied substantially (2%-12%) across studies. Six-month weight loss ranged from -0.95 kg to -1.84 kg, whereas 12-month weight loss ranged from -0.13 kg to -3.3 kg. A maximum of 25% of MOVE! users engaged in intense and sustained participation (eight or more visits within 6 months), but higher participation levels were consistently associated with greater weight change (-1.18 kg to -5.3 kg at 6 months, -1.68 kg to -3.58 kg at 12 months). CONCLUSIONS: MOVE! participation is associated with modest short-term weight loss, with greater weight loss as participation increases. More research is needed to understand the barriers and facilitators to participation and the effect of MOVE! participation on long-term health and economic outcomes.

Bariatric Surgery and Long-term Durability of Weight Loss.

Importance: Bariatric surgery induces significant weight loss for severely obese patients, but there is limited evidence of the durability of weight loss compared with nonsurgical matches and across bariatric procedures. Objectives: To examine 10-year weight change in a large, multisite, clinical cohort of veterans who underwent Roux-en-Y gastric bypass (RYGB) compared with nonsurgical matches and the 4-year weight change in veterans who underwent RYGB, adjustable gastric banding (AGB), or sleeve gastrectomy (SG). Design, Setting, and Participants: In this cohort study, differences in weight change up to 10 years after surgery were estimated in retrospective cohorts of 1787 veterans who underwent RYGB from January 1, 2000, through September 30, 2011 (573 of 700 eligible [81.9%] with 10-year follow-up), and 5305 nonsurgical matches (1274 of 1889 eligible [67.4%] with 10-year follow-up) in mixed-effects models. Differences in weight change up to 4 years were compared among veterans undergoing RYGB (n = 1785), SG (n = 379), and AGB (n = 246). Data analysis was performed from September 9, 2014, to February 12, 2016. Exposures: Bariatric surgical procedures and usual care. Main Outcomes and Measures: Weight change up to 10 years after surgery through December 31, 2014. Results: The 1787 patients undergoing RYGB had a mean (SD) age of 52.1 (8.5) years and 5305 nonsurgical matches had a mean (SD) age of 52.2 (8.4) years. Patients undergoing RYGB and nonsurgical matches had a mean body mass index of 47.7 and 47.1, respectively, and were predominantly male (1306 [73.1%] and 3911 [73.7%], respectively). Patients undergoing RYGB lost 21% (95% CI, 11%-31%) more of their baseline weight at 10 years than nonsurgical matches. A total of 405 of 564 patients undergoing RYGB (71.8%) had more than 20% estimated weight loss, and 224 of 564 (39.7%) had more than 30% estimated weight loss at 10 years compared with 134 of 1247 (10.8%) and 48 of 1247 (3.9%), respectively, of nonsurgical matches. Only 19 of 564 patients undergoing RYGB (3.4%) regained weight back to within an estimated 5% of their baseline weight by 10 years. At 4 years, patients undergoing RYGB lost 27.5% (95% CI, 23.8%-31.2%) of their baseline weight, patients undergoing AGB lost 10.6% (95% CI, 0.6%-20.6%), and patients undergoing SG lost 17.8% (95% CI, 9.7%-25.9%). Patients undergoing RYGB lost 16.9% (95% CI, 6.2%-27.6%) more of their baseline weight than patients undergoing AGB and 9.7% (95% CI, 0.8%-18.6%) more than patients undergoing SG. Conclusions and Relevance: Patients in the Veterans Administration health care system lost substantially more weight than nonsurgical matches and sustained most of this weight loss in the long term. Roux-en-Y gastric bypass induced significantly greater weight loss among veterans than SG or AGB at 4 years. These results provide further evidence of the beneficial association between surgery and long-term weight loss that has been demonstrated in shorter-term studies of younger, predominantly female populations.

Extent and reasons for nonadherence to antihypertensive, cholesterol, and diabetes medications: the association with depressive symptom burden in a sample of American veterans.

OBJECTIVE: Persons with depressive symptoms generally have higher rates of medication nonadherence than persons without depressive symptoms. However, little is known about whether this association differs by comorbid medical condition or whether reasons for nonadherence differ by depressive symptoms or comorbid medical condition. METHODS: Self-reported extent of nonadherence, reasons for nonadherence, and depressive symptoms among 1,026 veterans prescribed medications for hypertension, dyslipidemia, and/or type 2 diabetes were assessed. RESULTS: In multivariable logistic regression adjusted for clinical and demographic factors, the odds of nonadherence were higher among participants with high depressive symptom burden for dyslipidemia (n=848; odds ratio [OR]: 1.42, P=0.03) but not hypertension (n=916; OR: 1.24, P=0.15), or type 2 diabetes (n=447; OR: 1.15, P=0.51). Among participants reporting nonadherence to antihypertensive and antilipemic medications, those with greater depressive symptom burden had greater odds of endorsing medication nonadherence reasons related to negative expectations and excessive economic burden. Neither extent of nonadherence nor reasons for nonadherence differed by depressive symptom burden among patients with diabetes. CONCLUSION: These findings suggest that clinicians may consider tailoring interventions to improve adherence to antihypertensive and antilipemic medications to specific medication concerns of participants with depressive symptoms.

Demand for weight loss counseling after copayment elimination.

INTRODUCTION: Overweight and obesity are public health issues in the United States, and veterans have a higher rate of overweight and obesity than the general population. Our objective was to examine whether copayment elimination increased use of a weight loss clinic by veterans. METHODS: We examined clinic use by 44,411 new patients seen in a Veterans Affairs (VA) MOVE! weight management clinic before the copayment elimination and clinic use by 64,398 new patients seen in the year after copayment elimination. We examined clinic use via mixed-effects models for patients who were already exempt from copayment and patients who were newly exempt from copayment. We used 2 outcomes before and after copayment elimination: 1) the ratio of number of clinic visits by new users with the mean number of MOVE! clinic visits by all users, and 2) the number of clinic visits by each new user in the 6 months after their first visit. All models were adjusted for patient and clinic factors. RESULTS: Among newly exempt patients, the clinic-standardized rate of new use increased by 2.2% after the copayment was eliminated but increased 12% among already exempt veterans. This finding was confirmed in adjusted analyses. Analysis of number of clinic visits adjusted for patient and clinic factors also found that exempt and nonexempt veterans had similar numbers of repeat clinic visits. CONCLUSION: We saw an unexpected larger increase in demand among veterans who receive all VA care for free. These results suggest that VA should not assume that copayment reductions for selective preventive services will motivate patient change and achieve intended system-level outcomes.