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.

Engagement and Use of a Blended mHealth Intervention for Health Behavior Change.

BACKGROUND: Blended mHealth interventions (mHealth interventions including a facilitator) promote user engagement and increase effectiveness of health behavior change interventions. Little is known about how blended mHealth interventions are used outside the research context. METHODS: In the present work, we characterized patterns of app use among users of a blended mHealth intervention in real-world conditions. Program users were Veterans Health Administration (VHA) primary care patients (n = 56) who received an invite code for a blended mHealth intervention between 2019 and 2021. Cluster analysis was used to examine user engagement with health coach visits and program features. RESULTS: Of patients who received an invite code, 34% initiated the program. Most users were men (63%) and white (57%). The mean number of health conditions was 5 (68% with obesity). The mean age was 55. Cluster analysis suggested that most users did sustain engagement at either moderate (57%) or very high levels (13%). The remaining 30% of users were low engaged users. Users completing any health coach visit (about half) reported more overall engagement than their counterparts who did not. Weight was the most frequently tracked metric. Of users entering weights in the first and last month of the program (n = 18), the mean percent body weight change was 4.0% (SD = 3.6). CONCLUSIONS: A blended mHealth intervention may be a scalable option to extend the reach of health behavior change interventions for those that use it. However, a significant portion of users do not initiate these interventions, choose not to use the health coach feature, or engage at lower levels. Future research should examine the role of health coaching visits in promoting sustained engagement.

Common Sense Models of Obesity: a Qualitative Investigation of Illness Representations.

BACKGROUND: The Common Sense Model provides a framework to understand health beliefs and behaviors. It includes illness representations comprised of five domains (identity, cause, consequences, timeline, and control/cure). While widely used, it is rarely applied to obesity, yet could explain self-management decisions and inform treatments. This study answered the question, what are patients' illness representations of obesity?; and examined the Common Sense Model's utility in the context of obesity. METHODS: Twenty-four participants with obesity completed semi-structured phone interviews (12 women, 12 men). Directed content analysis of transcripts/notes was used to understand obesity illness representations across the five illness domains. Potential differences by gender and race/ethnicity were assessed. RESULTS: Participants did not use clinical terms to discuss weight. Participants' experiences across domains were interconnected. Most described interacting life systems as causing weight problems and used negative consequences of obesity to identify it as a health threat. The control/cure of obesity was discussed within every domain. Participants focused on health and appearance consequences (the former most salient to older, the latter most salient to younger adults). Weight-related timelines were generally chronic. Women more often described negative illness representations and episodic causes (e.g., pregnancy). No patterns were identified by race/ethnicity. CONCLUSIONS: The Common Sense Model is useful in the context of obesity. Obesity illness representations highlighted complex causes and consequences of obesity and its management. To improve weight-related care, researchers and clinicians should focus on these beliefs in relation to preferred labels for obesity, obesity's most salient consequences, and ways of monitoring change.

Weight Management Treatment Representations: A Novel Use of the Common Sense Model.

We used the Common Sense Model to understand weight management treatment representations of diverse patients, conducting semistructured interviews with 24 veterans with obesity, recruited from multiple U.S. Veterans Health Administration facilities. We performed a directed content analysis to summarize representations and assess differences across demographic groups. Patients' representations were impacted by gender, socioeconomic status, and disability status, creating group differences in available treatment (e.g., disability-related limitations), negative consequences (e.g., expense), treatment timeline (e.g., men emphasized long-term lifestyle changes), and treatment models (e.g., women described medically driven models). Patients identified conventional representations aligning with medical recommendations and relating to positive consequences, long-term treatment timelines, and medically driven models. Finally, patients discussed risky representations, including undesirable attitudes related to short-term positive and negative consequences and long-term negative consequences. Applying the Common Sense Model emphasized diverse representations, influenced by patients' identities. Understanding representations may improve treatment to meet the needs of diverse preferences.

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.

Motivational interviewing in eHealth and telehealth interventions for weight loss: A systematic review.

The alarming prevalence of adult obesity warrants consideration of treatments with broad reach; digital health interventions meet this need and have demonstrated efficacy for weight loss. One approach that can be delivered remotely is motivational interviewing - a counseling style that helps resolve ambivalence to change unhealthy behavior. This is the first review to systematically examine eHealth and telehealth interventions that incorporate motivational interviewing for weight loss. We searched four electronic databases (PubMed, Embase, PsycInfo, CINAHL) for publications from November 2009-May 2018. Included papers were weight loss RCTs conducted among adults with overweight or obesity that examined eHealth or telehealth interventions with motivational interviewing, compared to any type of treatment arm without it. Results were presented separately by comparison arm (control vs. active comparator). Sixteen papers (15 trials) were included. Twelve used telephone-based counseling to deliver motivational interviewing, two used email and phone, and one used online chats. When compared to a no-treatment control arm, the motivational interviewing arm was associated with greater weight loss on 6 of 11 occasions, but performed better than an active comparator on only 1 of 7 occasions. Retention and engagement were generally high, though few trials examined the relation with weight loss. No trial had high risk of bias, but five lacked power calculations and only two reported fidelity to motivational interviewing. Telephone-based interventions that incorporate motivational interviewing hold promise as effective obesity treatments. There is a dearth of evidence to support the use of motivational interviewing via eHealth, signaling a needed research area.

Engaging High-Need Patients in Intensive Outpatient Programs: A Qualitative Synthesis of Engagement Strategies.

BACKGROUND: Intensive outpatient programs address the complex medical, social, and behavioral needs of individuals who account for disproportionate healthcare costs. Despite their promise, the impact of these programs is often diminished due to patient engagement challenges (i.e., low rates of patient participation and partnership in care). OBJECTIVE: The objective of this study was to identify intensive outpatient program features and strategies that increase high-need patient engagement in these programs. DESIGN: Qualitative study. PARTICIPANTS: Twenty program leaders and clinicians from 12 intensive outpatient programs in academic, county, Veterans Affairs, community, and private healthcare settings. APPROACH: A questionnaire and semi-structured interviews were used to identify common barriers to patient engagement in intensive outpatient programs and strategies employed by programs to address these challenges. We used content analysis methods to code patient engagement barriers and strategies and to identify program features that facilitate patient engagement. KEY RESULTS: The most common barriers to patient engagement in intensive outpatient programs included physical symptoms/limitations, mental illness, care fragmentation across providers and services, isolation/lack of social support, financial insecurity, and poor social and neighborhood conditions. Patient engagement strategies included concrete services to support communication and use of recommended services, activities to foster patient trust and relationships with program staff, and counseling to build insight and problem-solving capabilities. Program features that were identified as enhancing engagement efforts included: 1) multidisciplinary teams with diverse skills, knowledge, and personalities to facilitate relationship building; 2) adequate staffing and resources to handle the demands of high-need patients; and 3) a philosophy that permitted flexibility and patient-centeredness. CONCLUSIONS: Promising clinical, interpersonal, and population-based approaches to engaging high-need patients frequently deviate from standard practice and require creative and proactive staff with adequate time, resources, and flexibility to address patients' needs on patients' terms.

Design Thinking in Health Care.

INTRODUCTION: Applying Design Thinking to health care could enhance innovation, efficiency, and effectiveness by increasing focus on patient and provider needs. The objective of this review is to determine how Design Thinking has been used in health care and whether it is effective. METHODS: We searched online databases (PubMed, Medline, Web of Science, CINAHL, and PyscINFO) for articles published through March 31, 2017, using the terms "health," "health care," or "healthcare"; and "Design Thinking," "design science," "design approach," "user centered design," or "human centered design." Studies were included if they were written in English, were published in a peer-reviewed journal, provided outcome data on a health-related intervention, and used Design Thinking in intervention development, implementation, or both. Data were collected on target users, health conditions, intervention, Design Thinking approach, study design or sample, and health outcomes. Studies were categorized as being successful (all outcomes improved), having mixed success (at least one outcome improved), or being not successful (no outcomes improved). RESULTS: Twenty-four studies using Design Thinking were included across 19 physical health conditions, 2 mental health conditions, and 3 systems processes. Twelve were successful, 11 reported mixed success, and one was not successful. All 4 studies comparing Design Thinking interventions to traditional interventions showed greater satisfaction, usability, and effectiveness. CONCLUSION: Design Thinking is being used in varied health care settings and conditions, although application varies. Design Thinking may result in usable, acceptable, and effective interventions, although there are methodological and quality limitations. More research is needed, including studies to isolate critical components of Design Thinking and compare Design Thinking-based interventions with traditionally developed interventions.

Trauma exposure and disordered eating: A qualitative study.

Quantitative studies have demonstrated a positive association between trauma exposure and disordered eating. However, reasons for this relationship are unclear. We used qualitative methods to understand why some individuals exposed to trauma report disordered eating. We conducted five focus groups and two dyadic interviews between spring 2013 and fall 2014 with women at a Veterans Health Administration medical center (N = 20). Most participants were recruited from outpatient mental health clinics. Participants completed demographic and psychological questionnaires. Using thematic analysis of transcripts, we identified trauma and disordered eating-related themes. Most participants were women of color (55%), and many reported psychological symptoms (65%). The mean age was 48 years (SD = 15). Thematic analysis resulted in three themes. First, trauma can be associated with disordered eating, often in relation to negative affect and maladaptive thoughts. Second, disordered eating can provide short-term, but not long-term, relief from trauma-related negative affect. Third, disordered eating can provide a mechanism to avoid unwanted attention from potential and past perpetrators of trauma. Trauma-related disordered eating, particularly in relation to sexual trauma, may have a distinct profile. Querying patients about causes of disordered eating when women report trauma histories may help clinicians ensure patients receive appropriate treatment.

The Obesity Epidemic in the Veterans Health Administration: Prevalence Among Key Populations of Women and Men Veterans.

BACKGROUND: Most US adults are overweight or obese. Understanding differences in obesity prevalence across subpopulations could facilitate the development and dissemination of weight management services. OBJECTIVES: To inform Veterans Health Administration (VHA) weight management initiatives, we describe obesity prevalence among subpopulations of VHA patients. DESIGN: Cross-sectional descriptive analyses of fiscal year 2014 (FY2014) national VHA administrative and clinical data, stratified by gender. Differences ≥5% higher than the population mean were considered clinically significant. PARTICIPANTS: Veteran VHA primary care patients with a valid weight within ±365 days of their first FY2014 primary care visit, and a valid height (98% of primary care patients). MAIN MEASURES: We used VHA vital signs data to ascertain height and weight and calculate body mass index, and VHA outpatient, inpatient, and fee basis data to identify sociodemographic- and comorbidity-based subpopulations. KEY RESULTS: Among nearly five million primary care patients (347,112 women, 4,567,096 men), obesity prevalence was 41% (women 44%, men 41%), and overweight prevalence was 37% (women 31%, men 38%). Across the VHA's 140 facilities, obesity prevalence ranged from 28% to 49%. Among gender-stratified subpopulations, obesity prevalence was high among veterans under age 65 (age 18-44: women 40%, men 46%; age 45-64: women 49%, men 48%). Obesity prevalence varied across racial/ethnic and comorbidity subpopulations, with high obesity prevalence among black women (51%), women with schizophrenia (56%), and women and men with diabetes (68%, 56%). CONCLUSIONS: Overweight and obesity are common among veterans served by the VHA. VHA's weight management initiatives have the potential to avert long-term morbidity arising from obesity-related conditions. High-risk groups-such as black women veterans, women veterans with schizophrenia, younger veterans, and Native Hawaiian/Other Pacific Islander and American Indian/Alaska Native veterans-may require particular attention to ensure that systems improvement efforts at the population level do not inadvertently increase health disparities.

Technology-based interventions for weight management: current randomized controlled trial evidence and future directions.

Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management.

Military experience can influence Women's eating habits.

BACKGROUND: Disordered eating, ranging from occasional binge eating or restriction to behaviors associated with eating disorder diagnoses, is common among military personnel and veterans. However, there is little information on how military service affects eating habits. OBJECTIVE: To describe possible pathways between military service and disordered eating among women veterans, a high risk group. MATERIALS AND METHODS: Twenty women veterans who reported changing eating habits in response to stress participated in audio-recorded focus groups or dyadic interviews between April 2013 and October 2014. We used thematic analysis of transcripts to identify and understand women's self-reported eating habits before, during, and after military service. RESULTS: Participants reported entering the military with varied eating habits, but little disordered eating. Participants described several ways military environments affected eating habits, for example, by promoting fast, irregular, binge-like eating and disrupting the reward value of food. Participants believed military-related stressors, which were often related to gender, also affected eating habits. Such stressors included military sexual trauma and the need to meet military weight requirements in general and after giving birth. Participants also reported that poor eating habits continued after military service, often because they remained under stress. CONCLUSIONS: For some women, military service can result in socialization to poor eating habits, which when combined with exposure to stressors can lead to disordered eating. Additional research is needed, including work to understand possible benefits associated with providing support in relation to military weight requirements and the transition out of military service. Given the unique experiences of women in the military, future work could also focus on health services surrounding pregnancy-related weight change and the stress associated with being a woman in predominantly male military environments.

The effect of medical comorbidities on male and female Veterans' use of psychotherapy for PTSD.

BACKGROUND: Posttraumatic stress disorder (PTSD) is associated with an increased risk for medical comorbidities that may prevent participation in psychotherapy. The present study investigated whether medical comorbidities were associated with lower initiation rates and fewer psychotherapy visits for PTSD. Because women are more likely to initiate psychotherapy after traumatic events, we also assessed whether relationships were weaker among women. METHODS: Veterans (N=482, 47% women) recently diagnosed with PTSD completed a survey assessing demographics, mood, functional status, and interest in treatment. Data on medical comorbidities, psychotherapy visits, antidepressant prescriptions, and service connection were assessed longitudinally through administrative files. Logistic and negative binomial regressions assessed associations between number of medical comorbidities in the 2 years before the survey and the initiation and number of psychotherapy visits for PTSD in the year after the survey. All analyses were stratified by sex and controlled for survey and administrative variables. RESULTS: The relationship between medical comorbidities and number of psychotherapy visits was stronger among women than among men. A greater number of medical comorbidities was associated with significantly fewer psychotherapy visits in the total sample [incidence rate ratio: 0.91; 95% confidence interval (CI): 0.83, 1.00] and among women (incidence rate ratio: 0.87; 95% CI: 0.77, 0.99), but not among men (95% CI: 0.75, 1.01). Medical comorbidities were not associated with the initiation of psychotherapy among men or women. CONCLUSIONS: Addressing medical comorbidities may help individuals remain in psychotherapy for PTSD. Medical comorbidities may play a larger role in the number of psychotherapy visits among women than men.

Longitudinal changes in somatic symptoms and family disagreements among depression and community groups: a 23-year study.

BACKGROUND: Few longitudinal studies describe the relationship between somatic symptoms and family disagreements. We examined changes over time in somatic symptoms, family disagreements, their interrelationships, and whether these patterns differed between individuals treated for depression (depression group) and individuals from the same community (community group). METHODS: We followed participants in the depression (N = 423) and community (N = 424) groups for 23 years (the community group was matched to the depression group on socioeconomic status, gender, and marital status). All participants were age 18+ and completed surveys at baseline, 1, 4, 10, and 23 year follow-ups. We assessed somatic symptoms and family disagreements at each time point and used latent growth curve modeling to examine change in these constructs over time. RESULTS: Somatic symptoms and family disagreements changed differently over time. Somatic symptoms decreased between baseline and the 10 year follow-up, but increased between the 10 and 23 year follow-ups, whereas family disagreements decreased linearly over time. Somatic symptoms and family disagreements were higher at baseline and declined at a faster rate in the depression compared to the community group. The relationship between changes in somatic symptoms and changes in family disagreements was also stronger in the depression group: a larger decrease in somatic symptoms was associated with a larger decrease in family disagreements. CONCLUSIONS: Longitudinal changes in somatic symptoms and family disagreements differ between depression and community groups. Individuals treated for depression had more somatic symptoms and family disagreements at baseline and improved at a faster rate compared to individuals in the community. Somatic symptoms and family disagreements may be important targets when treating depression, given the strong interrelationship among these factors in individuals with depression.

Identification of Anxiety Symptom Clusters in Patients with COPD: Implications for Assessment and Treatment.

BACKGROUND: Treatment of chronic obstructive pulmonary disease (COPD) is palliative, and quality of life is important. Increased understanding of correlates of quality of life and its domains could help clinicians and researchers better tailor COPD treatments and better support patients engaging in those treatments or other important self-management behaviors. PURPOSE: Anxiety is common in those with COPD; however, overlap of physical and emotional symptoms complicates its assessment. The current study aimed to identify anxiety symptom clusters and to assess the association of these symptom clusters with COPD-related quality of life. METHODS: Participants (N = 162) with COPD completed the Beck Anxiety Inventory (BAI), Chronic Respiratory Disease Questionnaire, Patient Health Questionnaire-9, and Medical Research Council dyspnea scale. Anxiety clusters were identified, using principal component analysis (PCA) on the BAI's 21 items. Anxiety clusters, along with factors previously associated with quality of life, were entered into a multiple regression designed to predict COPD-related quality of life. RESULTS: PCA identified four symptom clusters related to (1) general somatic distress, (2) fear, (3) nervousness, and (4) respiration-related distress. Multiple regression analyses indicated that greater fear was associated with less perceived mastery over COPD (ß = -0.19, t(149) = -2.69, p < 0.01). CONCLUSION: Anxiety symptoms associated with fear appear to be an important indicator of anxiety in patients with COPD. In particular, fear was associated with perceptions of mastery, an important psychological construct linked to disease self-management. Assessing the BAI symptom cluster associated with fear (five items) may be a valuable rapid assessment tool to improve COPD treatment and physical health outcomes.

Partnered research in healthcare delivery redesign for high-need, high-cost patients: development and feasibility of an Intensive Management Patient-Aligned Care Team (ImPACT).

OBJECTIVES: We employed a partnered research healthcare delivery redesign process to improve care for high-need, high-cost (HNHC) patients within the Veterans Affairs (VA) healthcare system. METHODS: Health services researchers partnered with VA national and Palo Alto facility leadership and clinicians to: 1) analyze characteristics and utilization patterns of HNHC patients, 2) synthesize evidence about intensive management programs for HNHC patients, 3) conduct needs-assessment interviews with HNHC patients (n = 17) across medical, access, social, and mental health domains, 4) survey providers (n = 8) about care challenges for HNHC patients, and 5) design, implement, and evaluate a pilot Intensive Management Patient-Aligned Care Team (ImPACT) for a random sample of 150 patients. RESULTS: HNHC patients accounted for over half (52 %) of VA facility patient costs. Most (94 %) had three or more chronic conditions, and 60 % had a mental health diagnosis. Formative data analyses and qualitative assessments revealed a need for intensive case management, care coordination, transitions navigation, and social support and services. The ImPACT multidisciplinary team developed care processes to meet these needs, including direct access to team members (including after-hours), chronic disease management protocols, case management, and rapid interventions in response to health changes or acute service use. Two-thirds of invited patients (n = 101) enrolled in ImPACT, 87 % of whom remained actively engaged at 9 months. ImPACT is now serving as a model for a national VA intensive management demonstration project. CONCLUSIONS: Partnered research that incorporated population data analysis, evidence synthesis, and stakeholder needs assessments led to the successful redesign and implementation of services for HNHC patients. The rigorous design process and evaluation facilitated dissemination of the intervention within the VA healthcare system. IMPACT STATEMENT: Employing partnered research to redesign care for high-need, high-cost patients may expedite development and dissemination of high-value, cost-saving interventions.

Behavioral health coaching for rural veterans with diabetes and depression: a patient randomized effectiveness implementation trial.

BACKGROUND: Depression and diabetes cause significant burden for patients and the healthcare system and, when co-occurring, result in poorer self-care behaviors and worse glycemic control than for either condition alone. However, the clinical management of these comorbid conditions is complicated by a host of patient, provider, and system-level barriers that are especially problematic for patients in rural locations. Patient-centered medical homes provide an opportunity to integrate mental and physical health care to address the multifaceted needs of complex comorbid conditions. Presently, there is a need to not only develop robust clinical interventions for complex medically ill patients but also to find feasible ways to embed these interventions into the frontlines of existing primary care practices. METHODS/DESIGN: This randomized controlled trial uses a hybrid effectiveness-implementation design to evaluate the Healthy Outcomes through Patient Empowerment (HOPE) intervention, which seeks to simultaneously address diabetes and depression for rural veterans in Southeast Texas. A total of 242 Veterans with uncontrolled diabetes and comorbid symptoms of depression will be recruited and randomized to either the HOPE intervention or to a usual-care arm. Participants will be evaluated on a host of diabetes and depression-related measures at baseline and 6- and 12-month follow-up. The trial has two primary goals: 1) to examine the effectiveness of the intervention on both physical (diabetes) and emotional health (depression) outcomes and 2) to simultaneously pilot test a multifaceted implementation strategy designed to increase fidelity and utilization of the intervention by coaches interfacing within the primary care setting. DISCUSSION: This ongoing blended effectiveness-implementation design holds the potential to advance the science and practice of caring for complex medically ill patients within the constraints of a busy patient-centered medical home. TRIAL REGISTRATION: Behavioral Activation Therapy for Rural Veterans with Diabetes and Depression: NCT01572389.

Differences across race and ethnicity in the quality of antidepressant medication management.

OBJECTIVE: To illustrate the importance of a multidimensional view of disparities in quality of antidepressant medication management (AMM), as well as discriminating "within-facility" disparities from disparities that exist between facilities. DATA SOURCES AND STUDY SETTING: We used data from the Veterans Health Administration's (VA) Corporate Data Warehouse (CDW) which contains clinical and administrative data from VA facilities nationally. STUDY DESIGN: CDW data were used to measure five indicators of AMM quality, including the HEDIS Effective Acute-Phase and Effective Continuation-Phase measures. Mixed effects regression models were used to examine differences in quality indicators between racial/ethnic groups, controlling for other demographic and clinical factors. An adaptation of the Kitagawa-Blinder-Oaxaca (KBO) method was used to decompose mean differences in treatment quality between racial and ethnic groups into within- and between-facility effects. DATA EXTRACTION METHODS: Demographic, clinical, and health service utilization data were extracted for patients in fiscal year 2017 with a diagnosis of depression and a new start of an antidepressant medication. PRINCIPAL FINDINGS: The decomposition of the overall differences between White and Black patients on receiving an initial 90-day prescription (46.7% vs. 32.7%), Effective Acute-Phase (79.7% vs. 66.8%), and Effective Continuation-Phase (64.0% vs. 49.6%) HEDIS measures revealed that most of the overall effects were "within-facility," meaning that Black patients are less likely to meet these measures regardless of where they are treated. Although the overall magnitude of disparities between White and Hispanic patients on these three measures was very similar (46.7% vs. 32.7%; 79.7% vs. 69.2%; 64.0% vs. 53.6%), the differences were more attributable to Hispanic patients being treated in facilities with overall lower performance on these measures. CONCLUSIONS: Discriminating within- and between-facility disparities and taking a multidimensional view of quality are essential to informing efforts to address disparities in AMM quality.

Behavioral weight management use in the Veterans Health Administration: Sociodemographic and health correlates.

INTRODUCTION: Over 40 % of United States Veterans Health Administration (VHA) primary care patients have obesity. Few patients use VHA's flagship weight management program, MOVE! and there is little information on other behavioral weight management program use. METHODS: The national United States cohort included over 1.5 million primary care patients with obesity, age 18-79, based on VHA administrative data. Gender stratified multivariable logistic regression identified correlates of weight management use in the year after a patient's first primary care appointment (alpha of 0.05). Weight management use was defined as MOVE! or nutrition clinic visits. RESULTS: The cohort included 121,235 women and 1,521,547 men with 13 % and 7 % using weight management, respectively. Point estimates for specific correlates of use were similar between women and men, and across programs. Black patients were more likely to use weight management than White patients. Several physical and mental health diagnoses were also associated with increased use, such as sleep apnea and eating disorders. Age and distance from VHA were negatively associated with weight management use. CONCLUSIONS: When assessing multiple types of weight management visits, weight management care in VHA appears to be used more often by some populations at higher risk for obesity. Other groups may need additional outreach, such as those living far from VHA. Future work should focus on outreach and prevention efforts to increase overall use rates. This work could also examine the benefits of tailoring care for populations in greatest need.

Influence of depression on racial and ethnic disparities in diabetes control.

INTRODUCTION: We tested the hypotheses that depression diagnoses influence racial and ethnic disparities in diabetes control and that mental health treatment moderates that relationship. RESEARCH DESIGN AND METHODS: We created a national cohort of Veterans Health Administration (VHA) patients with diabetes using administrative data (n=815 067). Cross-sectional linear mixed effects regression models tested the hypothesized indirect effect of depression on poor diabetes control (glycosylated hemoglobin >9%) and tested whether mental health treatment (visits or antidepressant prescriptions) moderated the effect of depression (α=0.05). Results represent the percentage point difference in probability of poor diabetes control. Covariates included primary care visits, sex, age, and VHA facility. RESULTS: Overall, 20% of the cohort had poor diabetes control and 22% had depression. Depression was more common among racial and ethnic minoritized groups. The probability of poor diabetes control was higher for most minoritized groups compared with White patients (largest difference: American Indian or Alaska Native patients, 5.2% (95% CI 4.3%, 6.0%)). The absolute value of the proportion of racial and ethnic disparities accounted for by depression ranged from 0.2% (for Hispanic patients) to 2.0% (for Asian patients), with similar effects when accounting for the moderating effect of mental health treatment. Patients with depression and 5+ mental health visits had a lower probability of poor diabetes control compared with those with fewer visits, regardless of antidepressant prescription status. CONCLUSIONS: The influence of depression on disparities in diabetes control was small. High rates of depression among people with diabetes, especially among those from racial and ethnic minoritized groups, highlight a need to ensure equitable and coordinated care for both conditions, as the effects of mental health treatment may extend to the control of physical health conditions.