The Characteristics of People with Serious Mental Illness Who are at High Risk for Hospitalization or Death.

Many individuals with serious mental illness are at high risk for hospitalization or death due to inadequate treatment of medical conditions or unhealthy behaviors. The authors describe demographic and clinical characteristics associated with increased risk in this population. Electronic data were obtained for individuals in treatment at a large Veterans' healthcare system who were at high risk according to a validated model. A random sample of these individuals was assessed in person. Multivariable regressions estimated the effect of numerous demographic, health, and clinical characteristics on risk. Emergency visits and hospitalizations were common. Greater risk was associated with being male, not married, and having more diagnoses. While risk varied by race, this effect was no longer significant after controlling for other factors. Health-related quality of life worsened with increasing risk. Routine data identify a large population of high-risk individuals who may benefit from outreach to provide healthcare services.

Testing an implementation package in a housing skills training pilot for homeless-experienced persons with serious mental illness.

Background: Evidence-based practices (EBPs) improve housing and health for persons who have experienced homelessness with serious mental illness (PEH-SMI) but are challenging to implement. We tested a strategy to support pilot implementation of a 12-session housing skills training intervention for PEH-SMI, tailored from effective social skills training interventions. We aimed to optimize the implementation strategy and intervention prior to an implementation trial. Method: We provided training and technical assistance to nine providers to support pilot implementation of this intervention to six groups of PEH-SMI (n = 35) engaged in VA Greater Los Angeles' homeless services. We used scales and semi-structured interviews with 14 PEH-SMI and all interventionists to inform implementation strategy adaptations, identify factors that impacted implementation, and assess perceptions of the intervention. Attendance was tracked and we observed a random sample of each interventionist's groups to assess treatment fidelity. Results: Interventionists perceived the implementation strategy and the intervention favorably. However, interventionists often lacked physical space, staff, and resources (e.g., computers) to conduct the intervention. Interventionists found the content valuable for participants and a few suggested that group engagement should be a prerequisite for obtaining housing services. PEH-SMI were interested in the intervention's content and receptive to the group-based format. Participants attended a mean of 4 ± 3/12 groups; all groups observed had acceptable fidelity. Problems with intervention retention were described, suggesting challenges maintaining group participation when participants transitioned between VA homeless services. Conclusions: To support the implementation of an EBP for PEH-SMI in homeless programs, these data suggest the value of training/technical assistance and strategies that enhance program-level buy-in to address resource concerns. Intervention adaptations, e.g., using a drop-in, open group format, in community-based settings that are easily accessible to PEH-SMI, may also increase adoption. This project was registered as "Improving Housing Outcomes for Homeless Veterans" Trial registration NCT03646149, registered 8/24/2018.

There are effective social skills programs for people with serious psychiatric disorders; we adapted these programs into a 12-session housing skills program for people who had experienced homelessness. We then tested a training and technical assistance package to support the program's delivery by nine providers (e.g., social workers) to six groups of homeless people with serious psychiatric disorders (n = 35). We used surveys and interviews with some participants (n = 14) and all involved providers (n = 9) to understand their perspectives on our training and technical assistance, as well as the program itself; and to assess their views on factors that affected the program's use in real-world settings. We tracked participants' attendance at the groups and observed a random selection of groups to see if providers adhered to key program elements. We found that participants attended an average of one-third of the program's groups (4/12) but that providers were able to deliver the program to include all key elements. Some providers lacked important resources (e.g., classroom space or computers) to deliver the program as it was intended; they liked the training and technical assistance offered. Participants liked the program's content and format. Difficulties with participant retention may relate to drop-out from homeless services in which the program was delivered. This pilot project suggests that getting buy-in from leaders across levels and structuring the program as a drop-in group, in the community, or in places where attendance is easy for participants may increase its likelihood of being used as part of routine homeless services.

Patient experiences with a primary care medical home tailored for people with serious mental illness.

INTRODUCTION: People with serious mental illness (SMI) have low rates of primary care (PC) use and die years prematurely, mostly because of medical illnesses such as cardiovascular disease or cancer. To meet the needs of these individuals, a novel, specialized patient-centered medical home with care coordination ("SMI PACT") was developed and implemented in PC. This study qualitatively examined patients' experiences with this innovative care model. METHOD: After implementation of the medical home in 2018, one-on-one semistructured interviews were conducted with 28 patients (32% women, 43% Black, and 25% Hispanic). Interviews were professionally transcribed and coded prior to thematic analysis. RESULTS: Patients overwhelmingly described positive experiences with SMI PACT because of the qualities of interpersonal communication displayed by SMI PACT staff (e.g., nonjudgment, good listening, patience), structural features of the SMI PACT collaborative care model (e.g., frequent follow-up communication), and other unique aspects of the SMI PACT model tailored for SMI, such as easy-to-understand language. For these reasons, most patients expressed a desire to continue care in SMI PACT. Patients also self-reported improved engagement with their healthcare and self-management of diet, exercise, blood pressure, and diabetes control as a result of SMI PACT participation. DISCUSSION: Patients enrolled in a specialized PC medical home identified clinician characteristics and behaviors that informed an overwhelmingly positive impression of the program model. Their experiences can guide dissemination of specialized PC models and integrated services for people with SMI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach.

BACKGROUND: Early intervention in mental health crises can prevent negative outcomes. A promising new direction is remote mental health monitoring using smartphone technology to passively collect data from individuals to rapidly detect the worsening of serious mental illness (SMI). This technology may benefit patients with SMI, but little is known about health IT acceptability among this population or their mental health clinicians. OBJECTIVE: We used the Health Information Technology Acceptability Model to analyze the acceptability and usability of passive mobile monitoring and self-tracking among patients with serious mental illness and their mental health clinicians. METHODS: Data collection took place between December 2020 and June 2021 in 1 Veterans Administration health care system. Interviews with mental health clinicians (n=16) assessed the acceptability of mobile sensing, its usefulness as a tool to improve clinical assessment and care, and recommendations for program refinements. Focus groups with patients with SMI (n=3 groups) and individual usability tests (n=8) elucidated patient attitudes about engaging in health IT and perceptions of its usefulness as a tool for self-tracking and improving mental health assessments. RESULTS: Clinicians discussed the utility of web-based data dashboards to monitor patients with SMI health behaviors and receiving alerts about their worsening health. Potential benefits included improving clinical care, capturing behaviors patients do not self-report, watching trends, and receiving alerts. Clinicians' concerns included increased workloads tied to dashboard data review, lack of experience using health IT in clinical care, and how SMI patients' associated paranoia and financial instability would impact patient uptake. Despite concerns, all mental health clinicians stated that they would recommend it. Almost all patients with SMI were receptive to using smartphone dashboards for self-monitoring and having behavioral change alerts sent to their mental health clinicians. They found the mobile app easy to navigate and dashboards easy to find and understand. Patient concerns centered on privacy and "government tracking," and their phone's battery life and data plans. Despite concerns, most reported that they would use it. CONCLUSIONS: Many people with SMI would like to have mobile informatics tools that can support their illness and recovery. Similar to other populations (eg, older adults, people experiencing homelessness) this population presents challenges to adoption and implementation. Health care organizations will need to provide resources to address these and support successful illness management. Clinicians are supportive of technological approaches, with adapting informatics data into their workflow as the primary challenge. Despite clear challenges, technological developments are increasingly designed to be acceptable to patients. The research development-clinical deployment gap must be addressed by health care systems, similar to computerized cognitive training. It will ensure clinicians operate at the top of their skill set and are not overwhelmed by administrative tasks, data summarization, or reviewing data that do not indicate a need for intervention. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/39010.

Retention of older veterans with serious mental illness in a clinical exercise program.

Older adults with serious mental illness (SMI) have compromised physical function that could be improved with exercise; however, retention in exercise programs is a challenge. This study was a retrospective analysis of retention for the 150 older veterans with SMI that enrolled in Gerofit, a clinical exercise program offered in the Veterans Health Administration. Chi-square and t-tests were conducted to evaluate baseline differences between those that were and were not retained at six and 12 months. Retention was 33% and better health-related quality of life and endurance were related to retention. Future work is needed to improve exercise program retention in this population.

Primary care provider perspectives on virtual and in-person depression management during the COVID-19 pandemic.

INTRODUCTION: During the COVID-19 pandemic, primary care providers (PCPs), nurses, and integrated mental health specialists continued to collaboratively manage depression among patients using both in-person and virtual (i.e., hybrid) modalities. Few studies have characterized how hybrid services are currently delivered within interdisciplinary primary care teams. This study aimed to understand frontline PCPs' perspectives on providing hybrid virtual and in-person depression care during the pandemic. METHOD: From September to November 2020, 12 semistructured individual interviews focused on depression management were conducted with PCPs in two Veterans Health Administration (VA) clinics in Los Angeles, which resumed in-person services while balancing rising COVID-19 cases. Interviews were audio-recorded, transcribed, and coded for depression management patterns. Themes were derived using a team-based constant comparative analytic approach. RESULTS: The pandemic and subsequent expanded use of virtual care necessitated clinic adaptations to depression assessments and procedures. PCPs perceived increased depression and anxiety among patients with existing psychiatric conditions, attributed to social distancing and isolation restrictions. They expressed acceptance of virtual care modalities for patients' depression management. PCPs did not perceive a delay in mental health care delivery in the shift to virtual care but noted the possibility of patients being lost to follow-up. CONCLUSIONS: During the pandemic, there has been heightened PCP concern for patients' emotional well-being and adaptations of clinic processes to meet needs for depression care. While PCPs were optimistic about new virtual care options for depression management, virtual care transfers remained poorly defined and the extent to which patient care experiences and health outcomes have been disrupted remains unknown. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Predictors of Functioning and Recovery Among Men and Women Veterans with Schizophrenia.

Gender differences may play a role in functional outcomes for individuals with schizophrenia. To better understand differences, an exploratory secondary analysis was conducted using data from a large, multi-site study of individuals with schizophrenia in treatment at Veterans Affairs medical centers. Participants completed surveys at baseline (n = 801; 734 men, 67 women) to assess demographics, symptoms, social supports, and recovery; and one year (n = 662; 604 men, 58 women) to assess quality of life and functioning. Hierarchical linear regressions examined interactions of baseline factors with functioning and quality of life. Women and men did not differ significantly in baseline social support, psychiatric symptoms, or recovery. Female gender predicted higher occupational functioning, while social functioning in men was inversely related to baseline symptom severity. Being married predicted higher quality of life for women, but not men. These findings may inform gender tailoring of services for schizophrenia.

Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation.

BACKGROUND: The COVID-19 pandemic increased disparities for communities burdened by structural barriers such as reduced affordable housing, with mental health consequences. Limited data are available on digital resources for public mental health prevention during the COVID-19 pandemic. OBJECTIVE: The study aim was to evaluate engagement in and impact of free digital resources on the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website during COVID-19 in California. METHODS: A pilot evaluation of T4W/Juntos was performed, with partner agencies inviting providers, clients, and partners to visit the website and complete surveys at baseline (September 20, 2021, to April 4, 2022) and at 4-6-week follow-up (October 22, 2021, to May 17, 2022). Website use was assessed by three engagement items (ease of use, satisfaction, relevance), comfort in use, and use of six resource categories. Primary outcomes at follow-up were depression and anxiety (scores≥3 on Patient Health Questionnaire-2 item [PHQ2] and Generalized Anxiety Disorder-2 item [GAD2] scales). Secondary outcomes were post-pre differences in PHQ2 and GAD2 scores, and use of behavioral health hotlines and services the month before follow-up. RESULTS: Of 366 eligible participants, 315 (86.1%) completed baseline and 193 (61.3%) completed follow-up surveys. Of baseline participants, 72.6% identified as female, and 21.3% identified as lesbian, gay, bisexual, transgender, queer/questioning, and others (LGBTQ+). In terms of ethnicity, 44.0% identified as Hispanic, 17.8% as African American, 26.9% as non-Hispanic white, and 11.4% as other ethnicity. Overall, 32.7% had moderate anxiety or depression (GAD2/PHQ2≥3) at baseline. Predictors of baseline website engagement included being Hispanic versus other race/ethnicity (ß=.27, 95% CI .10-.44; P=.002) and number of COVID-19-related behavior changes (ß=.09, 95% CI .05-.13; P<.001). Predictors of comfort using the website were preferring English for website use (odds ratio [OR] 5.57, 95% CI 2.22-13.96; P<.001) and COVID-19-related behavior changes (OR 1.37, 95% CI 1.12-1.66; P=.002); receiving overnight behavioral health treatment in the prior 6 months (OR 0.15, 95% CI 0.03-0.69, P=.015) was associated with less comfort in website use. The main predictor of depression at follow-up (PHQ2≥3) was baseline depression (OR 6.24, 95% CI 2.77-14.09; P<.001). Engagement in T4W/Juntos was associated with lower likelihood of depression (OR 0.54, 95% CI 0.34-0.86; P=.01). Website use the month before follow-up was associated with a post-pre reduction in PHQ2 score (ß=-.62, 95% CI -1.04 to -0.20; P=.004). The main predictor of GAD2≥3 at follow-up was baseline GAD2≥3 (OR 13.65, 95% CI 6.06-30.72; P<.001). Greater baseline website engagement predicted reduced hotline use (OR 0.36, 95% CI 0.18-0.71; P=.004). CONCLUSIONS: Ethnicity/language and COVID-19-related behavior changes were associated with website engagement; engagement and use predicted reduced follow-up depression and behavioral hotline use. Findings are based on participants recommended by community agencies with moderate follow-up rates; however, significance was similar when weighting for nonresponse. This study may inform research and policy on digital mental health prevention resources.

Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study.

BACKGROUND: Serious mental illnesses (SMI) are common, disabling, and challenging to treat, requiring years of monitoring and treatment adjustments. Stress or reduced medication adherence can lead to rapid worsening of symptoms and behaviors. Illness exacerbations and relapses generally occur with little or no clinician awareness in real time, leaving limited opportunity to modify treatments. Previous research suggests that passive mobile sensing may be beneficial for individuals with SMI by helping them monitor mental health status and behaviors, and quickly detect worsening mental health for prompt assessment and intervention. However, there is too little research on its feasibility and acceptability and the extent to which passive data can predict changes in behaviors or symptoms. OBJECTIVE: The aim of this research is to study the feasibility, acceptability, and safety of passive mobile sensing for tracking behaviors and symptoms of patients in treatment for SMI, as well as developing analytics that use passive data to predict changes in behaviors and symptoms. METHODS: A mobile app monitors and transmits passive mobile sensor and phone utilization data, which is used to track activity, sociability, and sleep in patients with SMI. The study consists of a user-centered design phase and a mobile sensing phase. In the design phase, focus groups, interviews, and usability testing inform further app development. In the mobile sensing phase, passive mobile sensing occurs with participants engaging in weekly assessments for 9 months. Three- and nine-month interviews study the perceptions of passive mobile sensing and ease of app use. Clinician interviews before and after the mobile sensing phase study the usefulness and feasibility of app utilization in clinical care. Predictive analytic models are built, trained, and selected, and make use of machine learning methods. Models use sensor and phone utilization data to predict behavioral changes and symptoms. RESULTS: The study started in October 2020. It has received institutional review board approval. The user-centered design phase, consisting of focus groups, usability testing, and preintervention clinician interviews, was completed in June 2021. Recruitment and enrollment for the mobile sensing phase began in October 2021. CONCLUSIONS: Findings may inform the development of passive sensing apps and self-tracking in patients with SMI, and integration into care to improve assessment, treatment, and patient outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT05023252; https://clinicaltrials.gov/ct2/show/NCT05023252. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39010.

The Effectiveness of a Specialized Primary Care Medical Home for Patients with Serious Mental Illness.

BACKGROUND: There are unmet primary care needs among people with serious mental illness that might be improved with integrated care and medical care management. Many healthcare organizations have attempted to address this problem, but few interventions have been rigorously studied and found to be effective. OBJECTIVE: Study the implementation and effectiveness of a novel, specialized primary care medical home designed to improve the healthcare of patients with serious mental illness. DESIGN, SETTING, AND PARTICIPANTS: Clustered controlled trial for a median of 401 days. One Veterans Health Administration medical center was assigned to intervention and two were assigned to usual care (control). Thirty-nine clinicians and managers were included in the study, as well as 331 patients who met eligibility criteria. INTERVENTION: A specialized medical home with systematic patient engagement, proactive nurse panel management, a collaborative care psychiatrist, and a primary care physician providing care that included psychiatric treatment. MAIN MEASURES: Quality of care, chronic illness care and care experience, symptoms, and quality of life. KEY RESULTS: Sixty-five intervention patients (40%) moved all psychiatric care to the primary care team. No adverse events were attributable to the intervention. Compared with control, intervention patients had greater improvement over time in appropriate screening for body mass index, lipids, and glucose (χ2 = 6.9, 14.3, and 3.9; P's < .05); greater improvement in all domains of chronic illness care (activation, decision support, goal-setting, counseling, coordination) and care experience (doctor-patient interaction, shared decision-making, care coordination, access; F for each 10-24, P's < .05); and greater improvement in mental health-related quality of life (F = 3.9, P = .05) and psychotic symptoms (F = 3.9, P = .05). CONCLUSION: A primary care medical home for serious mental illness can be feasible to implement, safe, and more effective than usual care. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01668355.

Stakeholder perspectives on sustainment of Housing First in a VA permanent supportive housing program.

OBJECTIVE: To evaluate the sustainment of Housing First (HF) implementation in a permanent supportive housing program for homeless-experienced veterans, 5 years after practice implementation. STUDY SETTING: From 2016 to 2017, primary data were collected from providers and veterans in the Department of Housing and Urban Development-VA Supportive Housing (HUD-VASH) program at Los Angeles. STUDY DESIGN: Guided by the integrated sustainability framework, we performed a mixed-methods study to evaluate the sustainment of HF, an evidence-based practice implemented to improve housing outcomes. To assess sustainment, we measured fidelity to HF in six of seven HUD-VASH teams. These data were integrated with qualitative interviews with providers and veterans who described perceived sustainment to HF and contextual factors that supported or impeded sustainment. DATA COLLECTION: Fidelity to HF at 5 years after practice implementation, as a proxy for sustainment, was quantified via surveys with HUD-VASH teams. HUD-VASH providers (n = 51) and 31 veterans participated in semi-structured interviews. Team-based template analyses were used to develop an emergent understanding of stakeholder perspectives on HF sustainment. PRINCIPAL FINDINGS: Overall, HUD-VASH teams reported HF sustainment. The lowest fidelity scores were found in the domains of client-to-staff ratios, frequency of client-provider contact, and time to housing. Qualitative findings indicated that outer contextual factors (e.g., housing scarcity) and organizational factors (e.g., staff turnover) impacted HF sustainment. Providers identified changes in leadership and unmet resource needs as impediments to practice sustainment. All stakeholders identified positively with the HF practice and believed that the approach benefited veterans. CONCLUSIONS: This snapshot of HF sustainment demonstrates that this practice can be sustained over time. However, strong leadership, organizational resources, and community partnerships are needed. Adaptations to HF in response to outer contextual factors and organizational capacity may result in practice sustainment while allowing for flexibility in service provision.

Factors associated with recovery from homelessness among veterans in permanent supportive housing.

AIMS: We sought to identify person- and program-level factors distinguishing permanent supportive housing (PSH) residents with higher versus lower social integration; and higher versus lower instrumental functioning. METHODS: Among 60 PSH residents at Los Angeles' VA, surveys and medical records captured person-level factors. Using a median split, we dichotomized participants with higher versus lower social integration; and higher versus lower instrumental functioning. Recursive partitioning (RP) identified variables that best-differentiated these subgroups. Interviews with 26 participants captured their perceptions on social integration and instrumental functioning. RESULTS: Using RP, health-related quality of life, psychiatric symptoms and case management frequency best-differentiated the social integration subgroups. Few perceived that PSH affected social integration. RP did not yield a stable model to differentiate the instrumental functioning subgroups; participants perceived that PSH addressed most functional deficits. CONCLUSIONS: Services that enhance social integration may benefit PSH residents with poor health; existing services may adequately address instrumental functioning.

A survey of personnel and services offered in 32 outpatient US clozapine clinics.

BACKGROUND: Clozapine clinics can facilitate greater access to clozapine, but there is a paucity of data on their structure in the US. METHODS: A 23-item survey was administered to participants recruited from the SMI Adviser Clozapine Center of Excellence listserv to understand characteristics of clozapine clinics. RESULTS: Clozapine clinics (N = 32) had a median caseload of 45 (IQR = 21-88) patients and utilized a median of 5 (IQR = 4-6) interdisciplinary roles. The most common roles included psychiatrists (100%), pharmacists (65.6%), nurses (65.6%), psychiatric nurse practitioners (53.1%), and case managers (53.1%). The majority of clinics outreached to patients who were overdue for labs (78.1%) and had access to on-site phlebotomy (62.5%). Less than half had on call services (46.9%). CONCLUSIONS: In this first systematic description of clozapine clinics in the US, there was variation in the size, staffing, and services offered. These findings may serve as a window into configurations of clozapine teams.

The Role of Board-Certified Psychiatric Pharmacists in Expanding Access to Care and Improving Patient Outcomes.

Although approximately 20% of adults in the United States experience a mental health condition annually, there continues to be a gap in the provision of care because of a shortage of behavioral health providers. The National Council for Behavioral Health Medical Director Institute has recommended that the number of board-certified psychiatric pharmacists (BCPPs), who are clinical pharmacists with advanced specialized training and experience in the treatment of patients with psychiatric and substance use disorders, be expanded to help meet this need. Although BCPPs currently assist in expanding care access, improving medication-related outcomes, and reducing health care costs by working collaboratively with physicians and other health care providers, BCPPs are often underutilized. This lack of utilization results in lost opportunity to better address the needs of persons with psychiatric or substance use disorders and to meet these needs in a timely manner. Here, the authors bring attention to five key areas-opioid use disorder, antipsychotic use among children, long-acting injectable antipsychotics, clozapine use, and transitions of care and care coordination-in which BCPPs, along with other pharmacists, provide evidence-based care and could be more extensively used as a collaborative solution to the mental health and substance use disorder crisis in the United States.

Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia.

OBJECTIVE: Innovative approaches are needed for assessing treatment preferences of individuals with schizophrenia. Conjoint analysis methods may help to identify preferences, but the usability and validity of these methods for individuals with schizophrenia remain unclear. This study examined computerized conjoint analysis for persons with schizophrenia and whether preferences for weight management programs predict service use. METHODS: A computerized, patient-facing conjoint analysis system was developed through iterative consultation with 35 individuals with schizophrenia enrolled at a community mental health clinic. An additional 35 overweight participants with schizophrenia then used the system to choose among psychosocial weight management programs varying in four attributes: location (community or clinic), delivery mode (Internet or in person), leader (clinician or layperson), and training mode (individual or group). A multilevel logit model with partial preference data determined contributions of each attribute to groupwide preferences. Associations were studied between preferences and use of a psychosocial weight management group. RESULTS: Conjoint analysis system usability was rated highly. Groupwide preferences were significantly influenced by location (p<0.001; clinic was preferred), leader (p=0.02; clinician was preferred), and training mode (p<0.001; group was preferred) but not delivery mode (p=0.68). Preferences did not correlate with age, gender, body mass index, illness severity, or subsequent program use. Participants described barriers to program attendance, including transportation, scheduling, privacy, psychiatric illness, and lack of motivation. CONCLUSIONS: Computerized conjoint analysis can produce valid assessments of treatment preferences of persons with schizophrenia and inform treatment development and implementation. Although preferences may affect treatment use, they are one of multiple factors.

Do cognition and other person-level characteristics determine housing outcomes among homeless-experienced adults with serious mental illness?

Objective: Many persons with serious mental illness (SMI) who have experienced homelessness struggle to sustain stable and independent housing. We know little about determinants of this population's housing status. This study aimed to identify person-level determinants of housing status among homeless-experienced veterans with SMI, focused primarily on cognition. Method: We administered cross-sectional surveys and detailed cognitive assessments on a convenience sample of homeless-experienced veterans with SMI (n = 90); we also reviewed these participants' medical records. We captured person-level potential predictors of housing status (demographics, cognition, diagnoses, symptoms, and service utilization) and 2 years of retrospective housing history. Participants' housing status was conceptualized as the setting (stable housing, other sheltered settings, and streets) they lived in for >50% of the past 2 years. We used the chi-square test and analysis of variance to determine how potential predictors differed by housing status. We used recursive partitioning to identify the combination of potential predictors and corresponding scores that best-differentiated participants by housing status. Results: No between-groups differences (p < .05) in cognition, symptoms, or other person-level factors were found among participants grouped by housing status. Recursive partitioning did not yield a stable model to predict housing status from the potential predictor variables. Conclusions and Implications for Practice: These data suggest that clinical interventions addressing studied person-level factors (e.g., cognitive rehabilitation) may not affect housing status for homeless-experienced veterans. As housing is highly influenced by social determinants of health, policies, and practices that affect contextual factors (e.g., affordable housing supply) may be more likely to improve housing status. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The American Psychiatric Association Practice Guideline for the Treatment of Patients With Schizophrenia.

(Reprinted with permission from The American Journal of Psychiatry 2020; 177:868-872).

Collaborative care clinician perceptions of computerized cognitive behavioral therapy for depression in primary care.

In Veterans Health Administration's (VA) Primary Care-Mental Health Integration (PC-MHI) models, primary care providers, care managers, and mental health clinicians collaboratively provide depression care. Primary care patients, however, still lack timely, sufficient access to psychotherapy treatment. Adapting PC-MHI collaborative care to improve uptake of evidence-based computerized cognitive behavioral therapy (cCBT) may be a potential solution. Understanding primary care-based mental health clinician perspectives is crucial for facilitating adoption of cCBT as part of collaborative depression care. We examined PC-MHI mental health clinicians' perspectives on adapting collaborative care models to support cCBT for VA primary care patients. We conducted 16 semi-structured interviews with PC-MHI nurse care managers, licensed social workers, psychologists, and psychiatrists in one VA health-care system. Interviews were audio-recorded, transcribed, coded using the constant comparative method, and analyzed for overarching themes. Although cCBT awareness and knowledge were not widespread, participants were highly accepting of enhancing PC-MHI models with cCBT for depression treatment. Participants supported cCBT delivery by a PC-MHI care manager or clinician and saw it as an additional tool to engage patients, particularly younger Veterans, in mental health treatment. They commented that current VA PC-MHI models did not facilitate, and had barriers to, use of online and mobile treatments. If effectively implemented, however, respondents thought it had potential to increase the number of patients they could treat. There is widespread interest in modernizing health systems. VA PC-MHI mental health clinicians appear open to adapting collaborative care to increase uptake of cCBT to improve psychotherapy access.

Effects of aerobic exercise on cardiorespiratory fitness and social functioning in veterans 40 to 65 years old with schizophrenia.

The usual physical activity level of people with chronic histories of schizophrenia is very low. In this pilot study, we examined the effects of an easy to implement aerobic exercise (AE) program on cardiorespiratory fitness and social functioning in 54 Veterans aged 40-65 years old with schizophrenia. Participants were randomized 2:1 to AE (36 forty-minute sessions conducted 3 times per week over 12 weeks) versus a non-aerobic stretching exercise condition conducted under the same regimen and timeframe. Cardiorespiratory fitness improved significantly within the AE group (p<.0001), and differed significantly from the comparison group (p<.02; Cohen's d=.41). Trend-level improvements were seen in social functioning within the AE group (p<.09) and showed a similar trend level difference in the between-group comparison (p<.06; Cohen's d=.35). Improvements in social functioning were significantly related to gains in cardiorespiratory fitness (r=.42; p<.01). AE effects on other physical and mental health indices were also examined. Overall, the AE intervention was well-tolerated, safe, and showed low rates of attrition after the commencement of training. Our findings indicate it is feasible to improve cardiorespiratory fitness in this clinical population, and there is suggestive evidence that the interventions aimed to do so may also benefit social functioning.