Behavioral Health Workforce Development in Washington State: Addition of a Behavioral Health Support Specialist.

The mental and behavioral health workforce shortage has hindered access to care in the United States, resulting in long waitlists for persons who need behavioral health care. Global models for task sharing, combined with U.S.-led studies of nonspecialists delivering interventions for depression and anxiety, support the development of this workforce in a stepped care system. This Open Forum highlights an innovative effort in Washington State to initiate a bachelor's-level behavioral health support specialist curriculum leading to credentialing to expand the mental health workforce and improve access to care for people with depression and anxiety.

Metabolic Syndrome, Modifiable Lifestyle Factors, and Sleep-Disordered Breathing: The Hispanic Community Health Study.

BACKGROUND: US Hispanics/Latinos are disproportionately susceptible to metabolic syndrome (MetS), attributed in part to systemic inequities related to health and lifestyle factors such as low physical activity (PA) levels, diet quality, alcohol use, tobacco use, and sleep disorder. Gender and heritage group differences are vastly understudied and need to be examined in this heterogeneous population. PURPOSE: To examine the relationships between select health and lifestyle factors and MetS among Hispanic gender and heritage subgroups (Hypothesis 1) and determine whether gender and heritage moderate those relationships (Hypothesis 2). METHODS: Participants included 14,155 Hispanic Americans aged 18-76 (59% female, mean age 45.92 ± 13.97) from seven heritage subgroups. This secondary analysis of cross-sectional data from the observational Hispanic Community Health Study/Study of Latinos (HCHS/SOL) dataset used hierarchical multinomial logistic regression to test Hypothesis 1; the dependent variable, MetS, included three categories delineating absence of MetS and presence of MetS with or without related medication use. Hayes' PROCESS macro tested Hypothesis 2. RESULTS: Low PA and sleep-disordered breathing (SDB) each had significant (p < .001) predictive value of MetS group membership, whereas both low and high alcohol use (p < .001) were associated with decreased MetS risk. Cigarette pack-years were not significantly associated with MetS outcomes. Gender moderated the association between MetS and alcohol use (p < .001), cigarette pack-years (p < .001), and SDB (p < .001) such that the effects on MetS were higher in females than males. The association between MetS and diet quality (p < .001) was stronger among males than in females. CONCLUSIONS: Gender and heritage differences were prominent among study variables.

Mental health is related to metabolic syndrome: The Hispanic community health study/ study of Latinos.

OBJECTIVE: Metabolic syndrome (MetS) is associated with common mental health conditions. Using cross-sectional data from the observational Hispanic Community Health Study / Study of Latinos (HCHS/SOL), this study examined the relationship between MetS and depression and anxiety in addition to testing moderating effects of gender and Hispanic heritage subgroups. METHODS: Participants included 13,496 Hispanic Americans aged 18-74 (59% women, mean age 46.59 ± 13.65) from seven heritage subgroups. Depression was measured using the Center for Epidemiologic Studies Depression 10-item scale, and anxiety was assessed using the State-Trait Anxiety Inventory 10-item scale. A 3-level categorical variable was developed to assess the combined influence of depression and anxiety. The dependent variable is dichotomous, delineating the presence or absence of MetS as defined by the National Cholesterol Education Program Third Adult Treatment Panel. Logistic regression and Hayes' PROCESS macro assessed these relationships and the moderating effects of gender-heritage subgroups. RESULTS: Results suggest depression (p < .001) and anxiety (p < .001) were associated with an increased likelihood of MetS. Puerto Ricans had the highest, and South Americans had the lowest, levels of depression and anxiety. Gender moderated the relationship between mental health and MetS, with women having a significant increase in the probability of MetS with depression (p < .001), anxiety (p < .001), or both (p < .001). CONCLUSION: Elevated symptoms of depression and anxiety are associated with the presence of MetS in US Hispanic subgroups. Gender-heritage differences are present among the study variables. Strategies to manage psychological well-being must be employed to optimize cardiometabolic health in US Hispanics.

Sport and mental health performance optimization in an adolescent gymnast: A case evaluation.

The Optimum Performance Program in Sports (TOPPS) is a multi-component, sport-specific Family Behavior Therapy that has demonstrated improved sport performance, relationships, and mental health outcomes in adult and adolescent athletes with, and without, diagnosed mental health disorders in clinical trials. The current case trial demonstrates successful implementation of a novel component of TOPPS (i.e., talk aloud optimal sport performance imagery leading to dream mapping) in a biracial Latina and White adolescent gymnast without a mental health diagnosis. The participant demonstrated significant improvements from baseline to both post-treatment and 3-month follow-up in severity of mental health functioning, factors interfering with sports performance, and her relationships with teammates, coaches, and family. Results suggest it may be possible to optimize mental health through sport performance optimization.

Electrocardiogram Abnormalities Associated With Metabolic Syndrome: The Hispanic Community Health Study/Study of Latinos.

BACKGROUND: Metabolic syndrome (MetS) is a prognostic cluster of physiologic risk factors that may develop into cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Electrocardiogram abnormalities (ECGA) can be instrumental in identifying the early stages of disease and may be associated with MetS in Hispanic Americans. OBJECTIVE: To explore the relationships between MetS and major and minor ECGA in the Hispanic population (Hypothesis 1) and determine whether gender-ethnic subgroups moderate these relationships (Hypothesis 2). METHODS: This secondary data analysis was conducted using large-scale data from the cohort study Hispanic Community Health Study/Study of Latinos (N = 13,628; 59% women and 41% men). Major ECGA encompassed 9 abnormalities including pathologic Q waves and left ventricular hypertrophy. Minor ECGA were tested independently of major ECGA. MetS was classified into 4 categories delineating metabolic abnormalities and related medication use. Multinomial logistic regression and Hayes' PROCESS macro were used for statistical analysis. RESULTS: Major ECGA were significantly associated with the presence of MetS and/or related medication use, whereas minor ECGA abnormalities were associated with MetS for participants who also took MetS-related medications only. Gender moderated the association between MetS and minor ECGA such that women with minor ECGA had a higher likelihood of MetS when compared to men. CONCLUSIONS: Findings suggest that early recognition and associated treatment of major and minor ECGA can be important to prevent MetS and further morbidities in the Hispanic population.

Perspectives of Nonspecialists Delivering a Brief Depression Treatment in the United States: A Qualitative Investigation.

BACKGROUND: Task sharing is an implementation strategy which increases access to services by training and supporting treatment delivery by nonspecialists. Such an approach has demonstrated effectiveness for depression and other mental health outcomes; however, few studies in high-income countries have examined nonspecialist providers' (NSPs) perspectives of the acceptability, feasibility, and appropriateness of delivering mental health interventions. We examine qualitative reports of NSPs experiences delivering a brief structured behavioral intervention for depression (called "Do More, Feel Better" [DMFB]) to adults aged 55 and older. METHODS: All NSPs (N = 4, 100%) who delivered DMFB participated in a focus group to probe their perceptions of the acceptability, feasibility, and appropriateness of both the intervention and their delivery experience as NSPs. Two coders analyzed the qualitative data from focus groups using codebook thematic analysis. RESULTS: NSPs perceived the intervention and delivery experience to be acceptable, feasible, and appropriate. Qualitative results provided insight into specific barriers and facilitators which may be important to consider when planning to implement task sharing. Themes that emerged from qualitative data included supervision being highly acceptable and feasible, appropriateness of the intervention for NSPs, and the feasibility of tailoring the intervention to patient participants. NSPs also expressed difficulty managing emotional investment in patients' success and providing therapy during a pandemic and racial violence in the US. CONCLUSIONS: Our results can inform future implementation and sustainment of task sharing interventions to expand access to care.

Psychometric properties of the eating disorder examination questionnaire: Factor analysis and measurement invariance by race/ethnicity and gender.

OBJECTIVE: The Eating Disorder Examination Questionnaire (EDE-Q) was originally validated in non-Hispanic White women and has become widely used as an assessment tool for research on eating pathology in college students. However, the original factor structure has generally failed to replicate across various samples, especially among diverse populations. The current study examined the factor structure and measurement invariance of the EDE-Q in a large sample of racially/ethnically diverse college men and women. METHOD: Participants included a diverse sample of men and women from two universities (N = 1981). Exploratory factory analysis (EFA) was conducted to examine the factor structure of the EDE-Q, followed by confirmatory factor analysis (CFA) to verify the factor structure, and establish the configural model. Furthermore, we explored the measurement invariance of the configural model by gender (i.e., men, women) and race/ethnicity (i.e., White, Black, Asian, Hispanic, and multiracial). RESULTS: EFA and CFA results suggested a three-factor, 10-item measure best fit the data, reflecting Dietary Restraint, Preoccupation and Eating Concern, and Shape/Weight Overvaluation. This measure achieved strict invariance by gender and race/ethnicity, indicating that mean comparisons across groups are meaningful. Women, relative to men, reported higher scores for all subscales. Significant differences across race/ethnicity emerged for Dietary Restraint and Shape/Weight Overvaluation in which Hispanic individuals endorsed the highest means compared to other racial/ethnic groups. DISCUSSION: The three-factor, 10-item measure is a brief, valid, and reliable measure of eating disorder psychopathology for U.S. college students.

A systematic review and meta-analysis of factors influencing ImPACT concussion testing in high school and collegiate athletes with self-reported ADHD and/or LD.

OBJECTIVE: Sport concussion is a common injury, and athletes with attention-deficit/hyperactivity disorder (ADHD) and/or learning disorder (LD) are at increased risk and require specialized attention in clinical settings. Although systematic reviews of the relationship between ADHD/LD and concussion are reported in the literature, these reviews do not include quantitative syntheses. Additionally, no reviews have focused on the most commonly utilized concussion assessment, Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT). The current review provides an update of sport concussion assessment in athletes with ADHD and/or LD from 2000 to 2021 on these topics: baseline and postconcussion performance on ImPACT, baseline and postconcussion symptom reporting using the Postconcussion Symptom Scale, invalid baseline classification on ImPACT, and self-reported history of concussion. METHOD: Meta-analyses were conducted on baseline ImPACT performance, symptom reporting, invalid baseline classification, and concussion rates. Thirty-four studies were included in systematic review and 19 were included in meta-analyses. RESULTS: Decreased baseline performance was found for athletes with ADHD (trivial to small effects), LD (small-to-medium effects), and ADHD/LD (small-to-medium effects). Increased baseline symptom reporting was found for athletes with ADHD (small effect). Increased odds of invalid baseline performance (trivial effect) and self-reported concussion history (small effect) were found in ADHD. CONCLUSIONS: These results provide the first quantitative synthesis of the literature in this area. It is recommended that future research further examines these topics in athletes with LD and co-occurring ADHD/LD (given the focus on ADHD), as well as the effects that all of these conditions may have on concussion recovery and return-to-play decision-making. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Task Sharing to Expand Access to Care: Development of a Behavioral Health Support Specialist.

Task sharing improves access to mental health care in many countries, but little formative research has examined uptake in the United States. This Open Forum proposes the development of nonspecialist professional roles to deliver low-intensity behavioral interventions for common mental health conditions in U.S. settings such as primary care. Using data from a multilevel stakeholder assessment, the authors discuss findings and challenges associated with such a role. Key themes from stakeholder surveys concerned scope of practice, competencies, pragmatic concerns, and training needs. Although stakeholders generally found this role to be acceptable and feasible, the themes raised will be critical to developing and implementing such a role.

A low-intensity behavioral intervention for depression in older adults delivered by lay coaches: proof-of-concept trial.

OBJECTIVES: A broader workforce is necessary to expand U.S. geriatric mental health services. We examined (1) feasibility of training undergraduate students to deliver Do More, Feel Better (DMFB), an evidence-informed program for depression; and (2) feasibility, acceptability, and outcomes in a single-arm proof-of-concept trial. METHOD: In Study 1, we taught DMFB to 18 upper-level undergraduate students and assessed fidelity using role plays. In Study 2, four students delivered six weekly DMFB sessions to 12 community-dwelling older adults (M = 66.83 years old, SD = 10.39) with depression (PHQ ≥ 10). Patient outcomes were change in pre- to post-treatment depressive symptoms, disability, and the target mechanism of increased activity. RESULTS: Fidelity was high in the course (Study 1; 82.4% of role plays rated as 'passing') and the trial (Study 2; 100% of 24 sessions rated as 'passing'). The majority (83.3%) of patients were retained and evidenced statistically and clinically significant improvement in depressive symptoms (Hamilton Rating Scale for Depression [HAM-D]), disability (World Health Organization's Disability Assessment Schedule 2.0 [WHODAS 2.0], and activity (Behavioral Activation for Depression Scale [BADS]). CONCLUSION: It is feasible to train bachelor's-level students to deliver a brief, structured intervention for depression. Future research should consider implementation strategies and stakeholder feedback.

Self-objectification: Implications for physical activity in middle-aged women and men.

Self-objectification (i.e., valuing the body primarily for its attractiveness to others) is negatively related to physical health, including physical activity (PA) attitudes and behaviors. Given the low levels of PA among middle-aged adults in the US, self-objectification may be a novel correlate of PA in this population. The present study examined self-objectification and PA variables in a cross-sectional Western U.S. community sample of women (n = 215) and men (n = 134), aged 45-64, including gender as a moderator of these relations. Data were collected via survey, including measures of self-objectification, PA enjoyment, PA perceived benefits and barriers, and self-reported levels of PA. Women and men in our sample did not differ in levels of self-objectification. Results of regression analyses indicated that self-objectification predicted less PA enjoyment. In addition, men higher in self-objectification reported higher levels of PA. The findings implicate self-objectification as a potentially novel determinant of PA attitudes and behaviors in middle-aged adults.

Patient Digital Health Technologies to Support Primary Care Across Clinical Contexts: Survey of Primary Care Providers, Behavioral Health Consultants, and Nurses.

BACKGROUND: The acceptance of digital health technologies to support patient care for various clinical conditions among primary care providers and staff has not been explored. OBJECTIVE: The purpose of this study was to explore the extent of potential differences between major groups of providers and staff in primary care, including behavioral health consultants (BHCs; eg, psychologists, social workers, and counselors), primary care providers (PCPs; eg, physicians and nurse practitioners), and nurses (registered nurses and licensed practical nurses) in the acceptance of various health technologies (ie, mobile apps, wearables, live video, phone, email, instant chats, text messages, social media, and patient portals) to support patient care across a variety of clinical situations. METHODS: We surveyed 151 providers (51 BHCs, 52 PCPs, and 48 nurses) embedded in primary care clinics across the United States who volunteered to respond to a web-based survey distributed in December 2020 by a large health care market research company. Respondents indicated the technologies they consider appropriate to support patients' health care needs across the following clinical contexts: acute and chronic disease, medication management, health-promoting behaviors, sleep, substance use, and common and serious mental health conditions. We used descriptive statistics to summarize the distribution of demographic characteristics by provider type. We used contingency tables to compile summaries of the proportion of provider types endorsing each technology within and across clinical contexts. This study was exploratory in nature, with the intent to inform future research. RESULTS: Most of the respondents were from urban and suburban settings (125/151, 82.8%), with 12.6% (n=19) practicing in rural or frontier settings and 4.6% (n=7) practicing in rural-serving clinics. Respondents were dispersed across the United States, including the Northeast (31/151, 20.5%), Midwest (n=32, 21.2%), South (n=49, 32.5%), and West (n=39, 25.8%). The highest acceptance for technologies across clinical contexts was among BHCs (32/51, 63%) and PCPs (30/52, 58%) for live video and among nurses for mobile apps (30/48, 63%). A higher percentage of nurses accepted all other technologies relative to BHCs and PCPs. Similarly, relative to other groups, PCPs indicated lower levels of acceptance. Within clinical contexts, the highest acceptance rates were reported among 80% (41/51) of BHCs and 69% (36/52) of PCPs endorsing live video for common mental health conditions and 75% (36/48) of nurses endorsing mobile apps for health-promoting behaviors. The lowest acceptance across providers was for social media in the context of medication management (9.3% [14/151] endorsement across provider type). CONCLUSIONS: The survey suggests potential differences in the way primary care clinicians and staff envision using technologies to support patient care. Future work must attend to reasons for differences in the acceptance of various technologies across providers and clinical contexts. Such an understanding will help inform appropriate implementation strategies to increase acceptability and gain greater adoption of appropriate technologies across conditions and patient populations.

Collaborative care for depression yields similar improvement among older and younger rural adults.

BACKGROUND: Depressive disorders are among the most prevalent mental health conditions; however, significant barriers to treatment access persist. This study examined differences in depression outcomes between younger and older adults in a large-scale implementation demonstration of the collaborative care model (CoCM). METHODS: Secondary data analysis of a longitudinal, observational implementation demonstration at eight primary care clinics across low-resourced rural or frontier areas of the Western United States. Seven of these clinics were federally qualified health centers. The sample consisted of 3722 younger (18-64 years) and older (65+ years) adult primary care patients diagnosed with unipolar depression. All participants received depression treatment via CoCM, which enhances usual primary care and makes efficient use of specialists by using a behavioral healthcare manager and a psychiatric consultant to support primary care providers. Clinics were followed for up to 27 months. Patients were followed until they completed treatment or dropped out. The Patient Health Questionnaire (PHQ-9) assessed depressive symptoms at baseline (enrollment) and at most follow-up contacts. The primary treatment outcome was a change between a patient's first and last recorded PHQ-9 scores. RESULTS: Across both age groups, there was an average overall reduction of 6.9 points on the PHQ-9. Older adults demonstrated a greater decrease in depression scores of 2.06 points (95% CI -2.98 to -1.14, p < 0.001) on the PHQ-9 compared with younger adults. Estimates were robust when adjusting for gender, race, and clinic. CONCLUSIONS: CoCM resulted in meaningful improvement in depressive symptoms across age groups.

Behavior Change Factors and Retention in Dietary Interventions for Older Adults: A Scoping Review.

BACKGROUND AND OBJECTIVES: Although poor diet is a major driver of morbidity and mortality in people aged 60 and older, few dietary interventions are widely implemented for this population. We mapped behavior change theories, agents, and techniques in dietary interventions for adults aged 60 and older and explored relationships between these factors and ability to retain at least 80% of the study participants. RESEARCH DESIGN AND METHODS: We conducted a scoping review using MEDLINE, CINAHL, and Web of Science through April 2021 for dietary interventions in adults aged 60 and older. We collated, summarized, and calculated frequency distributions of behavior change theories, behavior change agents, and behavior change techniques (BCTs) using BCTv1 taxonomy with regard to participant retention across 43 studies. RESULTS: Only 49% and 30% of the studies reported behavior theory and change agents, respectively. Of the studies reporting on theory and agents, the most common were social cognitive theory and the related mechanism of self-efficacy. The most common BCTv1 clusters were "shaping knowledge" and "goals and planning." Several BCTv1 clusters such as "antecedents" and "reward and threat" and evidence for concordance between BCTs and change agents were more common in interventions with higher retention rates. DISCUSSION AND IMPLICATIONS: Mechanistically concordant studies with BCTs that involve resource allocation and positive reinforcement through rewards may be advantageous for retention in dietary intervention for older adults. Future studies should continue developing theory and mechanism-oriented research. Furthermore, future studies should consider diversifying the portfolio of currently deployed BCTs and strengthening a concordance between BCTs and mechanisms of change.

Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care.

Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists and engineers and runs the risk of being disconnected from pragmatic issues in clinical practice. This interprofessional perspective bridges the experiences of clinical scientists and data science. We provide a brief overview of AI with the main focus on possible applications and challenges of using AI-based approaches for research and clinical care in geriatric mental health. We suggest future AI applications in geriatric mental health consider pragmatic considerations of clinical practice, methodological differences between data and clinical science, and address issues of ethics, privacy, and trust.

Modernizing Training in Psychotherapy Competencies With Adaptive Learning Systems: Proof of Concept.

PURPOSE: This proof-of-concept study assessed the feasibility, acceptability, and effectiveness of an intelligent tutoring system (ITS) as a classroom adjunct to improve training bachelor of social work (BSW) students in client engagement strategies. METHODS: We codeveloped the ITS with 11 undergraduate students and pilot tested it with six BSW students enrolled in a class on telephone-based cognitive behavioral therapy (tCBT). Student competencies in tCBT were assessed by expert review of role-plays. We also examined time spent using ITS and relation with competency. RESULTS: The majority of students (81.8%) in Wave 1 and all of the students who submitted role-plays in Wave 2 passed the clinical skills role-play. Students advancing through the ITS more quickly had better tCBT competency ratings than those progressing more slowly. DISCUSSION: One of the most challenging aspects of training is how to competently deliver evidence-based practices. ITS has the potential to streamline and scale such training.

Understanding Psychological Distress and Protective Factors Amongst Older Adults During the COVID-19 Pandemic.

OBJECTIVES: This study examined the emotional distress and loneliness during COVID-19 and the roles of resiliency and activities. DESIGN: A cross-sectional national survey. SETTING: Amazon Mechanical Turk (mTurk) and Prolific Research Platforms. PARTICIPANTS: Five hundred and one U.S. dwelling English-speaking adults 60 years old and older. MEASUREMENTS: Participants completed an online survey with the PHQ-9; GAD-7; Short Health Anxiety Inventory; 3-item UCLA Loneliness scale; PROMIS measures of global health, instrumental, and emotional support; 10-item Connor-Davidson Resilience Scale; and COVID-19 needs assessment. RESULTS: Across the sample 13% reported moderate depressive symptoms, 9% reported moderate anxiety symptoms, and 26% endorsed being "lonely." The emotionally distressed group endorsed more loneliness, lower resiliency, less physical exercise, and worse physical health. The low Socio-Economic Status group endorsed less loneliness, less likely to engage in physical exercise and worse physical health.The lonely group endorsed less resilience, less physical exercise, and worse physical health. A multiple logistic regression found that resilience, socioeconomic status, and physical health were significant predictors of loneliness, whereas global health was the best predictor of emotional distress. CONCLUSIONS: Even after prolonged social distancing, older adults in this study did not report greater psychological distress compared to earlier studies of older adults during COVID-19. Older adults with lower SES, worse physical health, and less resiliency, were more likely to report more loneliness. It is this group that should be the focus of intervention.

A Typical Week With Mild Cognitive Impairment.

BACKGROUND AND OBJECTIVES: Identifying the experience of people with mild cognitive impairment (MCI) may help develop research agendas, interventions, and other supports to better match individuals' needs. The purpose of this study was to explore the subjective experience of a "typical week" living with MCI to document (a) important activities, (b) barriers to usual activities, and (c) facilitators and supports. RESEARCH DESIGN AND METHODS: We conducted remote individual photo-elicitation interviews with 11 community-dwelling adults aged 55 years or older with MCI. Participants each provided 5-10 photographs of daily life taken over 1 week to facilitate a semistructured qualitative interview. Interview transcriptions were coded in Dedoose software and analyzed using thematic analysis. RESULTS: Participants shared photos and narratives highlighting the important activities in a typical week, in which physical activity, social engagement, spiritual and religious practice, hobbies, and cognitive stimulation were central. Many also shared disruptions to former routines and reduction of activities alongside increased use of new strategies and environmental supports (e.g., calendars, smartphones). Finally, emergent themes centered on disclosure of their diagnosis and reflections about the future. DISCUSSION AND IMPLICATIONS: Participant-generated images aided data collection and facilitated discussion of sensitive topics with individuals with MCI. Such narratives may illustrate the needs and opportunities to promote well-being in individuals with MCI, including engagement in meaningful and health-promoting activities, assessing barriers to important daily activities, and considering supports that match the experience and needs of those with MCI.

Assessing the Usability of Complex Psychosocial Interventions: The Intervention Usability Scale.

Background: Usability - the extent to which an intervention can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction - may be a key determinant of implementation success. However, few instruments have been developed to measure the design quality of complex health interventions (i.e., those with several interacting components). This study evaluated the structural validity of the Intervention Usability Scale (IUS), an adapted version of the well-established System Usability Scale (SUS) for digital technologies, to measure the usability of a leading complex psychosocial intervention, Motivational Interviewing (MI), for behavioral health service delivery in primary care. Prior SUS studies have found both one- and two-factor solutions, both of which were examined in the current study of the IUS. Method: A survey administered to 136 medical professionals from 11 primary care sites collected demographic information and IUS ratings for MI, the evidence-based psychosocial intervention that primary care providers reported using most often for behavioral health service delivery. Factor analyses replicated procedures used in prior research on the SUS. Results: Analyses indicated that a two-factor solution (with "usable" and "learnable" subscales) best fit the data, accounting for 54.1% of the variance. Inter-item reliabilities for the total score, usable subscale, and learnable subscale were α = .83, α = .84, and α = .67, respectively. Conclusions: This study provides evidence for a two-factor IUS structure consistent with some prior research, as well as acceptable reliability. Implications for implementation research evaluating the usability of complex health interventions are discussed, including the potential for future comparisons across multiple interventions and provider types, as well as the use of the IUS to evaluate the relationship between usability and implementation outcomes such as feasibility.