Evidence-Based Intervention Adaptations Within the Veterans Health Administration: a Scoping Review.

BACKGROUND: Veterans receiving care within the Veterans Health Administration (VA) are a unique population with distinctive cultural traits and healthcare needs compared to the civilian population. Modifications to evidence-based interventions (EBIs) developed outside of the VA may be useful to adapt care to the VA healthcare system context or to specific cultural norms among veterans. We sought to understand how EBIs have been modified for veterans and whether adaptations were feasible and acceptable to veteran populations. METHODS: We conducted a scoping review of EBI adaptations occurring within the VA at any time prior to June 2021. Eligible articles were those where study populations included veterans in VA care, EBIs were clearly defined, and there was a comprehensive description of the EBI adaptation from its original context. Data was summarized by the components of the Framework for Reporting Adaptations and Modifications to Evidence-based interventions (FRAME). FINDINGS: We retrieved 922 abstracts based on our search terms. Following review of titles and abstracts, 49 articles remained for full-text review; eleven of these articles (22%) met all inclusion criteria. EBIs were adapted for mental health (n = 4), access to care and/or care delivery (n = 3), diabetes prevention (n = 2), substance use (n = 2), weight management (n = 1), care specific to cancer survivors (n = 1), and/or to reduce criminal recidivism among veterans (n = 1). All articles used qualitative feedback (e.g., interviews or focus groups) with participants to inform adaptations. The majority of studies (55%) were modified in the pre-implementation, planning, or pilot phases, and all were planned proactive adaptations to EBIs. IMPLICATIONS FOR D&I RESEARCH: The reviewed articles used a variety of methods and frameworks to guide EBI adaptations for veterans receiving VA care. There is an opportunity to continue to expand the use of EBI adaptations to meet the specific needs of veteran populations.

Examining Place-Based Neighborhood Factors in a Multisite Peer-Led Healthy Lifestyle Effectiveness Trial for People with Serious Mental Illness.

People with severe mental illness (SMI) experience significantly higher obesity-related comorbidities and premature mortality rates than healthy populations. The physical and social characteristics of neighborhoods where people with SMI reside can play an important role in promoting or hindering healthy eating and physical activity. However, this is seldom considered when designing and testing health behavior interventions for these populations. This study used baseline data from an obesity control trial for low-income, minority people with SMI to demonstrate the utility of assessing neighborhood- and city-level place-based factors within the context of lifestyle interventions. GIS was used to create a zip-code-level social and built environment geodatabase in New York City and Philadelphia, where the trial occurred. Chi-square and t-tests were used to assess differences in the spatial distribution of health-related built and social environment characteristics between and within cities and diet and physical activity outcomes. All types of neighborhood characteristics showed significant environmental differences between and within cities. Several neighborhood characteristics were associated with participants' baseline healthy eating and physical activity behaviors, emphasizing that place-based factors may moderate lifestyle interventions for SMI patients. Future behavioral interventions targeting place-dependent behaviors should be powered and designed to assess potential moderation by place-based factors.

The association between food insecurity and physical activity in adults with serious mental illness living in supportive housing.

Rates of food insecurity are high among adults with serious mental illness (SMI); this population also engages in less physical activity than the general population. However, the relationship between food insecurity and physical activity in this group has not been explored. We examined food insecurity prevalence and its association with physical activity in 314 adults with SMI living in supportive housing in New York City and Philadelphia and enrolled in an institutional review board-approved randomized controlled trial of a Peer Group Lifestyle Balance (PGLB) program. We analyzed 2014 baseline survey data, including demographic data and self-reported food security, and four self-reported physical activity outcomes: any physical activity per week (yes/no) and 2) total, 3) moderate, or 4) vigorous physical activity minutes per week. A logistic regression model examined food security as a predictor of any physical activity; zero-inflated negative binomial regression models were used for the other three physical activity outcomes; demographic and clinical predictors were assessed for inclusion in models. Over half of participants (51.7%) reported low or very low levels of food security. Relationships between food insecurity and three physical activity measures (any physical activity, total weekly minutes, and moderate weekly minutes) were non-significant; those with lower food security were more likely to engage in vigorous physical activity. The high food insecurity prevalence highlights the importance of measuring and addressing food security in populations experiencing SMI; measuring physical activity is also important for tailored lifestyle recommendations. Future studies should examine longitudinal changes in food security and physical activity.

Systematic Review of Psychosocial Smoking Cessation Interventions for People with Serious Mental Illness.

OBJECTIVE: Tobacco smoking is a major driver of premature mortality in people with serious mental illness (SMI; e.g., schizophrenia, bipolar disorder). This systematic literature review described randomized control trials of psychosocial smoking cessation interventions for people with SMI, rated their methodological rigor, evaluated the inclusion of racial/ethnic and sexual/gender minorities, and examined smoking cessation outcomes. Methods: Eligible studies included peer-reviewed articles published between 2009 and 2020 that examined psychosocial smoking cessation interventions in people with SMI. We used the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines to conduct our review and the Methodological Quality Rating Scale to evaluate methodological rigor. Results: Eighteen studies were included. Ten were categorized as high methodological rigor given their study characteristics (e.g., longer follow-up) and eight as lower methodological rigor based on their characteristics (e.g., not intent-to-treat). Racial/ethnic and sexual/gender minorities were under-represented in these studies. A range of psychosocial interventions were examined including motivational enhancements, smoking cessation education, cognitive behavioral strategies, and contingency management. Most studies also provided smoking cessation medications (e.g., NRT, bupropion), although provision was not always uniform across treatment conditions. Three studies found the intervention condition achieved significantly higher abstinence from smoking compared to the comparison group. Seven studies found the intervention condition achieved significantly higher reductions in smoking compared to the comparison group. Conclusions: Studies finding significant differences between the intervention and comparison groups shared common evidenced-based components, including providing smoking cessation medications (e.g., NRT, bupropion), motivational enhancement techniques, and cessation education and skills training, but differed in intensity (e.g., number and frequency of sessions), duration, and modality (e.g., group, individual, technology). Methodological limitations and a small number of studies finding significant between-group differences prevent the identification of the most effective psychosocial smoking cessation interventions. Clinical trial designs (e.g., SMART, factorial) that control for the provision of psychosocial medications and allow for the identification of optimal psychosocial treatments are needed. Future studies should also ensure greater inclusion of racial/ethnic and sexual/gender minorities and should be culturally/linguistically adapted to improve treatment engagement and study outcomes.

Ideal Cardiovascular Health in Racially and Ethnically Diverse People with Serious Mental Illness.

Cardiovascular disease is a primary contributor to premature death among people with serious mental illness (SMI). This study used baseline data (N=314) from an effectiveness trial testing a healthy lifestyle intervention for racial/ethnically diverse participants with overweight/obesity and SMI living in supportive housing. We examined the prevalence and correlates of a modified version of the American Heart Association (AHA) metric of ideal cardiovascular health (ICVH). Five AHA ICVH metrics (smoking, body mass index, diet, physical activity, and blood pressure) were used to create a composite ICVH score. The mean ICVH score was 3.15 (range 0-8). Multivariate analysis indicated that higher ICVH scores were associated with lifetime cancer diagnosis and better cardiorespiratory fitness. Lower scores were associated with female gender, racial/ethnic minority status, and antipsychotic use, suggesting that these subgroups of people with SMI may benefit from targeted screening and interventions to improve their cardiovascular health.

Reaching for a Healthier Lifestyle: A Photovoice Investigation of Healthy Living in People with Serious Mental Illness.

BACKGROUND: People with mental illness in the United States are almost twice as likely to be obese compared with those without a mental illness. Lifestyle factors, such as poor dietary choices and physical inactivity, are often cited as causes of obesity in this population, which limits the response to the obesity epidemic primarily to behavioral change interventions. In response, this project is grounded in a human rights framework to assure that the people most affected by the problem are included in understanding and addressing the problem. We sought to investigate social and structural factors that affect weight loss in partnership with community co-researchers enrolled in a group lifestyle program for overweight/obese people with serious mental illness (SMI) living in supportive housing settings. METHODS: Using Photovoice methodology, eight co-researchers identified barriers and facilitators to healthy living in their community over seven weekly sessions. RESULTS: Co-researchers selected 33 photos reflecting two overarching themes: 1) structural barriers, such as poor-quality food, high transportation costs, limited SNAP benefits, limits of food pantries, easy availability of tobacco and alcohol products, and limited places for exercise and 2) strategies for overcoming structural barriers. CONCLUSIONS: Co-researchers highlighted structural barriers that were a cause or consequence of food insecurity and situations that threaten the right to healthy food and opportunities for a healthy life. Co-researchers reported examples of knowledge and skills they learned through participation in the project that were used to overcome structural barriers to healthy eating and physical activity, and likely contributed to weight loss.

Prevalence of cardiovascular risk factors among racial and ethnic minorities with schizophrenia spectrum and bipolar disorders: a critical literature review.

OBJECTIVE: People with serious mental illness (SMI) die at least 11 years earlier than the general U.S. population, on average, due largely to cardiovascular disease (CVD). Disparities in CVD morbidity and mortality also occur among some U.S. racial and ethnic minorities. The combined effect of race/ethnicity and SMI on CVD-related risk factors, however, remains unclear. To address this gap, we conducted a critical literature review of studies assessing the prevalence of CVD risk factors (overweight/obesity, diabetes mellitus, metabolic syndrome, hypercholesterolemia, hypertension, cigarette smoking, and physical inactivity) among U.S. racial/ethnic groups with schizophrenia-spectrum and bipolar disorders. METHODS AND RESULTS: We searched MEDLINE and PsycINFO for articles published between 1986 and 2013. The search ultimately yielded 40 articles. There was great variation in sampling, methodology, and study populations. Results were mixed, though there was some evidence for increased risk for obesity and diabetes mellitus among African Americans, and to a lesser degree for Hispanics, compared to non-Hispanic Whites. Sex emerged as an important possible effect modifier of risk, as women had higher CVD risk among all racial/ethnic subgroups where stratified analyses were reported. CONCLUSIONS: Compared to general population estimates, there was some evidence for an additive risk for CVD risk factors among racial/ethnic minorities with SMI. Future studies should include longitudinal assessment, stratification by sex, subgroup analyses to clarify the mechanisms leading to potentially elevated risk, and the evaluation of culturally appropriate interventions to eliminate the extra burden of disease in this population.

Depression and diabetes among low-income Hispanics: design elements of a socioculturally adapted collaborative care model randomized controlled trial.

OBJECTIVE: This article describes design elements of the Multifaceted Depression and Diabetes Program (MDDP) randomized clinical trial. The MDDP trial hypothesizes that a socioculturally adapted collaborative care depression management intervention will reduce depressive symptoms and improve patient adherence to diabetes self-care regimens, glycemic control, and quality-of-life. In addition, baseline data of 387 low-income, 96% Hispanic, enrolled patients with major depression and diabetes are examined to identify study population characteristics consistent with trial design adaptations. METHODS: The PHQ-9 depression scale was used to identify patients meeting criteria for major depressive disorder (1 cardinal depression symptom + a PHQ-9 score of > or = 10) from two community safety net clinics. Design elements included sociocultural adaptations in recruitment and efforts to reduce attrition and collaborative depression care management. RESULTS: Of 1,803 diabetes patients screened, 30.2% met criteria for major depressive disorder. Of 387 patients enrolled in the clinical trial, 98% had Type 2 diabetes, and 83% had glycated hemoglobin (HbA1c) levels > or = 7%. Study recruitment rates and baseline data analyses identified socioeconomic and clinical factors that support trial design and intervention adaptations. Depression severity was significantly associated with diabetes complications, medical comorbidity, greater anxiety, dysthymia, financial worries, social stress, and poorer quality-of-life. CONCLUSION: Low-income Hispanic patients with diabetes experience high prevalence of depressive disorder and depression severity is associated with socioeconomic stressors and clinical severity. Improving depression care management among Hispanic patients in public sector clinics should include intervention components that address self-care of diabetes and socioeconomic stressors.