Why do Stayers Stay? Perceptions of White and Black Long-Term Employees in a Community Mental Health Center.

Previous research has focused on factors influencing turnover of employees in the mental health workforce, yet little research has explored reasons why employees stay. To facilitate retaining a diverse mental health workforce, the current study aimed to elucidate factors that contributed to employees' tenure at a community mental health center (CHMC) as well as compare these perceptions between Black and White employees. Long-term employees (7 years or more) from one urban CMHC (n = 22) completed semi-structured stayer interviews. Using emergent thematic analysis, stayer interviews revealed four major themes for why they have stayed at the organization for 7 years or more: (1) work as a calling, (2) supportive relationships, (3) opportunities for growth or meaningful contribution, and (4) organization mission's alignment with personal attributes or values. Comparison between Black and White stayer narratives revealed differences in their perceptions with work as a calling and opportunities for growth and meaningful contribution. Guided by themes derived from stayer interviews, the current study discusses theoretical (e.g., job embeddedness theory, theory of racialized organizations, self-determination theory) and practical implications (e.g., supporting job autonomy, Black voices in leadership) in an effort to improve employee retention and address structural racism within a mental health organization.

Market Factors Associated with Comprehensive Behavioral Health Crisis Care Availability: A Resource Dependence Theory Study.

Behavioral health crisis care (BHCC) is a care delivery model for individuals experiencing acute distress related to a mental health or substance use disorder. We examined market factors associated with comprehensive BHCC availability using 2022 data on mental health treatment facilities (n = 9385) obtained from the Substance Abuse and Mental Health Services Administration. We aggregated facility-level data by county (n = 3142) and merged with county-level market factors. Logistic regression models were used to examine the adjusted associations between market factors and BHCC availability. We found that 468 (14.9%) counties had at least one mental health treatment facility offering comprehensive BHCC services. Specifically, counties with more mental health providers (Adjusted Odds Ratio = 2.26, Confidence Interval = 1.32-3.86) and metropolitan counties (AOR = 3.26, CI = 1.95-5.43) had higher odds of having a comprehensive BHCC facility. Our findings highlight the importance of developing the mental health workforce to increase BHCC availability and a need to address disparities in rural counties.

Enhancing patient-clinician collaboration during treatment decision-making: study protocol for a community-engaged, mixed method hybrid type 1 trial of collaborative decision skills training (CDST) for veterans with psychosis.

BACKGROUND: Patient participation in treatment decision making is a pillar of recovery-oriented care and is associated with improvements in empowerment and well-being. Although demand for increased involvement in treatment decision-making is high among veterans with serious mental illness, rates of involvement are low. Collaborative decision skills training (CDST) is a recovery-oriented, skills-based intervention designed to support meaningful patient participation in treatment decision making. An open trial among veterans with psychosis supported CDST's feasibility and demonstrated preliminary indications of effectiveness. A randomized control trial (RCT) is needed to test CDST's effectiveness in comparison with an active control and further evaluate implementation feasibility. METHODS: The planned RCT is a hybrid type 1 trial, which will use mixed methods to systematically evaluate the effectiveness and implementation feasibility of CDST among veterans participating in a VA Psychosocial Rehabilitation and Recovery Center (PRRC) in Southern California. The first aim is to assess the effectiveness of CDST in comparison with the active control via the primary outcome, collaborative decision-making behavior during usual care appointments between veterans and their VA mental health clinicians, and secondary outcomes (i.e., treatment engagement, satisfaction, and outcome). The second aim is to characterize the implementation feasibility of CDST within the VA PRRC using the Practical Robust Implementation and Sustainability Model framework, including barriers and facilitators within the PRRC context to support future implementation. DISCUSSION: If CDST is found to be effective and feasible, implementation determinants gathered throughout the study can be used to ensure sustained and successful implementation at this PRRC and other PRRCs and similar settings nationally. TRIAL REGISTRATION: ClinicalTrials.gov NCT04324944. Registered on March 27, 2020. Trial registration data can be found in Appendix 1.

Narrative Forewarnings: A Qualitative Analysis of the Themes Preceding Disorganized Speech in Schizophrenia.

Disorganized speech is a critical barrier to recovery in schizophrenia, with profound negative impacts on one's ability to engage with the world. Despite the limited efficacy of existing treatments in addressing disorganization, a qualitative analysis of what leads to disorganization in patient narratives has been lacking. This study addresses this gap through inductive thematic analysis of 30 narrative interviews with individuals with schizophrenia, matched based on whether Formal Thought Disorder (FTD) is present. Through this analysis, we identified four core themes (alienation, interpersonal tension, personal benchmarks, and adverse experiences) and eight subthemes. Our findings suggest that disorganization may serve as a protective mechanism against psychological distress and highlight how the severity of FTD influences these themes. Alienation, particularly due to illness-related stigma, emerged more prominently in those with FTD. The themes of personal benchmarks and interpersonal tension pointed towards a heightened sensitivity to social interactions and self-perception among those with schizophrenia. Adverse experiences, encompassing past challenges, suggest a potential link between trauma and symptom exacerbation. Our qualitative analysis of what themes precede disorganized speech has implications for tailoring psychotherapy. By considering an individual's specific triggers and level of disorganization, therapy may be more effectively targeted to improve recovery-based outcomes. By identifying themes within patient narratives, this study advances our understanding of the qualitative aspects preceding disorganized speech in schizophrenia, paving the way for more personalized and effective recovery-focused interventions.

State Policies Associated with Availability of Mobile Crisis Teams.

Mobile crisis teams are comprised of multidisciplinary mental health professionals that respond to mental health crisis calls in community settings. This study identified counties with mobile crisis teams and examined state policies associated with mobile crisis teams. Descriptive statistics and geographic information system software were used to quantify and map counties with mobile crisis teams in the United States. Relationships between state policies and mobile crisis teams were examined using an adjusted logistic regression model, controlling for county characteristics and accounting for clustering by state. Approximately 40% (n = 1,245) of all counties in the US have at least one mobile crisis team. Counties in states with legislation in place to fund the 988 Suicide and Crisis Lifeline were more likely to have a mobile crisis team (Adjusted Odds Ratio (AOR): 2.0; Confidence Interval (CI): 1.23-3.26), whereas counties in states with 1115 waivers restricting Medicaid benefits were less likely to have a mobile crisis team (AOR: 0.43; CI: 0.21-0.86). Additionally, counties with the largest population were more likely to have a mobile crisis team (AOR: 2.20; CI:1.43-3.38) than counties with the smallest population. Having a mobile crisis teams was positively associated with legislation to fund 988. Legislation that encourages expansion of existing crisis care services, specifically funding aimed at mobile crisis teams, may help increase availability of services for people who are experiencing a mental health crisis in the community.

The Impact of Patient Race, Patient Socioeconomic Status, and Cognitive Load of Physician Residents and Fellows on Chronic Pain Care Decisions.

Social stereotypes are more likely to influence decision-making under conditions of high cognitive load (ie, mental workload), such as in medical settings. We examined how patient race, patient socioeconomic status (SES), physician cognitive load, and physician implicit beliefs about race and SES differences in pain tolerance impacted physicians' pain treatment decisions. Physician residents and fellows (N = 120) made treatment decisions for 12 computer-simulated patients with back pain that varied by race (Black/White) and SES (low/high). Half of the physicians were randomized to be interrupted during the decision task to make hypertension medication conversion calculations (high cognitive load group), while the other half completed the task without interruptions (low cognitive load group). Both groups were given equal time to make pain care decisions (2.5 minutes/patient). Results of multilevel ordinal logistic regression analyses indicated that physicians prescribed weaker analgesics to patients with high vs. low SES (odds ratio = .68, 95% confidence interval [.48, .97], P = .03). There was also a patient SES-by-cognitive load interaction (odds ratio = .56, 95% confidence interval [.31, 1.01], P = .05) that is theoretically and potentially practically meaningful but was not statistically significant at P < .05. These findings shed light on physician cognitive load as a clinically-relevant factor in the context of pain care quality and equity. PERSPECTIVE: These findings highlight the clinical relevance of physician cognitive load (eg, mental workload) when providing pain care for diverse patients. This line of work can support the development of interventions to manage physician cognitive load and its impact on pain care, which may ultimately help reduce pain disparities.

Communication and activation in pain to enhance relationships and treat pain with equity (COOPERATE): a randomized clinical trial.

ABSTRACT: Racialized disparities in chronic pain care are well-documented and persist despite national priorities focused on health equity. Similar disparities have been observed in patient activation (ie, having the knowledge, confidence, and skills to manage one's health). As such, interventions targeting patient activation represent a novel approach to addressing and reducing disparities in pain care. Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity is a randomized controlled trial of a 6-session telephone-delivered intervention to increase patient activation for Black patients with chronic pain. Two hundred fifty Black patients from a Midwestern Veterans Affairs medical center were randomized to the intervention or attention control. The primary outcome was patient activation; secondary outcomes included communication self-efficacy, pain, and psychological functioning. Outcomes were assessed at baseline and at 3 (primary endpoint), 6, and 9 months (sustained effects). Analyses used an intent-to-treat approach. Compared with baseline, patient activation increased 4.6 points at 3 months (versus +0.13 in control group, 95% CI: 0.48, 7.34; P = 0.03). These improvements in the intervention group were sustained, with +7 from baseline at 6 months and +5.77 at 9 months, and remained statistically significant from the control group. Communication self-efficacy increased significantly relative to the control group from baseline to 3 months. Pain intensity and interference improved at 3 months, but differences were not significant after adjusting for multiple comparisons. Most other secondary outcomes improved, but group differences were not statistically significant after controlling for multiple comparisons. Results suggest that increasing patient activation is a potentially fruitful path toward improving pain management and achieving health equity.

Meta-analysis of the relationship between metacognition and disorganized symptoms in psychosis.

OBJECTIVE: Disorganized symptoms show associations with metacognitive deficits in psychosis. However, the magnitude of this relationship is unclear. This meta-analysis aimed to 1) quantify relationships between metacognition and both disorganized symptoms and disorganized speech; and 2) examine moderators of these relationships (e.g., metacognition type, neurocognition). METHOD: A literature search was conducted using PsycINFO, Web of Science, PubMed, and EMBASE databases. English-language studies measuring disorganized symptoms and metacognition (i.e., introspective accuracy, metacognitive beliefs, or metacognitive capacity) in psychosis were included. Random effects meta-analyses were conducted using Pearson's r. RESULTS: Meta-analysis of 20 studies (n = 1490) resulted in a significant negative medium correlation between disorganized symptoms and metacognition (r = -0.332, 95 % CI [-0.423, -0.235]). Magnitude was moderated by metacognition type. A significant negative small correlation between disorganized speech and metacognition (r = -0.173, 95 % CI [-0.254, -0.089], n = 1470) was observed, with no significant moderators. CONCLUSIONS: Results clarify the magnitude of the relationships between metacognition and both disorganized symptoms and disorganized speech. Significant relationships may indicate conceptual links, yet the different magnitudes may reflect a distinction between disorganized symptoms and speech. The moderator finding highlights that metacognitive capacity has an especially strong link to disorganized symptoms and underscores the need for careful distinction between types of metacognition in future work.

Posttraumatic stress and depressive symptoms and symptom clusters in a sample of treatment-seeking US veterans: Longitudinal associations with meaning in life and general self-efficacy.

OBJECTIVES: To quantify the associations between general self-efficacy, subjective meaning in life, and posttraumatic stress and depressive symptoms and symptom clusters in US veterans, both cross-sectionally and longitudinally. METHODS: Data from a Veteran Affairs (VA) funded intervention study (n = 191) were examined. Self-report measures of depressive symptoms, general self-efficacy, and meaning in life were collected, along with clinician-rated symptoms of PTSD. RESULTS: Meaning in life was consistently inversely associated with posttraumatic stress and depressive symptoms and symptom clusters cross-sectionally, whereas general self-efficacy was only inversely associated with some aspects of depressive symptoms. Longitudinal analyses further revealed that meaning in life was inversely associated with the cluster D symptoms of PTSD and the cognitive-affective symptoms of depression. CONCLUSIONS: Higher meaning in life is associated with less severe symptoms of posttraumatic stress and depressive symptoms, particularly those related to mood. Additional research is needed to determine whether interventions designed to increase meaning in life attenuate these symptoms.

Machine Learning with Human Resources Data: Predicting Turnover among Community Mental Health Center Employees.

BACKGROUND: Human resources (HR) departments collect extensive employee data that can be useful for predicting turnover. Yet, these data are not often used to address turnover due to the complex nature of recorded data forms. AIMS OF THE STUDY: The goal of the current study was to predict community mental health center employees' turnover by applying machine learning (ML) methods to HR data and to evaluate the feasibility of the ML approaches. METHODS: Historical HR data were obtained from two community mental health centers, and ML approaches with random forest and lasso regression as training models were applied. RESULTS: The results suggested a good level of predictive accuracy for turnover, particularly with the random forest model (e.g., Area Under the Curve was above .8) compared to the lasso regression model overall. The study also found that the ML methods could identify several important predictors (e.g., past work years, wage, work hours, age, job position, training hours, and marital status) for turnover using historical HR data. The HR data extraction processes for ML applications were also evaluated as feasible. DISCUSSION: The current study confirmed the feasibility of ML approaches for predicting individual employees' turnover probabilities by using HR data the organizations had already collected in their routine organizational management practice. The developed approaches can be used to identify employees who are at high risk for turnover. Because our primary purpose was to apply ML methods to estimate an individual employee's turnover probability given their available HR data (rather than determining generalizable predictors at the wider population level), our findings are limited or restricted to the specific organizations under the study. As ML applications are accumulated across organizations, it may be expected that some findings might be more generalizable across different organizations while others may be more organization-specific (idiographic). IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The organization-specific findings can be useful for the organization's HR and leadership to evaluate and address turnover in their specific organizational contexts. Preventing extensive turnover has been a significant priority for many mental health organizations to maintain the quality of services for clients. IMPLICATIONS FOR HEALTH POLICIES: The generalizable findings may contribute to broader policy and workforce development efforts. IMPLICATIONS FOR FURTHER RESEARCH: As our continuing research effort, it is important to study how the ML methods and outputs can be meaningfully utilized in routine management and leadership practice settings in mental health (including how to develop organization-tailored intervention strategies to support and retain employees) beyond identifying high turnover risk individuals. Such organization-based intervention strategies with ML applications can be accumulated and shared by organizations, which will facilitate the evidence-based learning communities to address turnover. This, in turn, may enhance the quality of care we can offer to clients. The continuing efforts will provide new insights and avenues to address data-driven, evidence-based turnover prediction and prevention strategies using HR data that are often under-utilized.

Outcomes of a peer-led navigation program, PARTNER-MH, for racially minoritized Veterans receiving mental health services: a pilot randomized controlled trial to assess feasibility and acceptability.

This pilot study explored the feasibility and acceptability of PARTNER-MH, which aimed to engage racially diverse Veterans in mental health services, facilitate their active participation in care, and improve their communication with providers. Fifty participants were randomized to the intervention or a waitlist control group. For primary outcomes, we assessed the feasibility of the study design and PARTNER-MH's feasibility and acceptability. For secondary outcomes, we explored preliminary effects on patient engagement, patient activation, shared decision-making, and health-related outcomes. The study had a recruitment rate of 68%, enrollment rate of 91%, and a follow-up retention rate of 72%. For intervention feasibility and acceptability, fidelity scores were satisfactory and improved over time, session attendance was modest with 33% of participants completing ≥6 sessions, and 89% of participants were satisfied with the intervention. For secondary outcomes, patients in the intervention arm showed significant improvement on self-reported mental health and depression, compared with those in the control group at both 6- and 9-month follow-ups. However, there were no significant differences between study arms on the other measures. Pilot results provide support for future testing of PARTNER-MH in a larger trial, although modifications are needed to increase session attendance and follow-up retention rate. CLINICAL TRIAL INFORMATION: The study was preregistered at Clinical Trials.gov. The study Trial registration number is ClinicalTrials.gov NCT04515771.

This study tested whether a peer-led navigation program, PARTNER-MH, can be delivered effectively by peer specialists in the Veterans Health Administration (VHA) healthcare system to racially minoritized Veterans who are receiving mental healthcare. The study evaluated our ability to recruit and retain participants, deliver the intervention, and examined satisfaction with the program. We also explored preliminary effects of the program. Participants were successfully recruited for the study and peers were able to deliver the program effectively. Participants reported high satisfaction with the program and significant improvements in mental health outcomes, although completion rate of the program was low. Results provide support for future testing of PARTNER-MH in a larger trial, with modifications to increase program session attendance and retention.

eHealth Use on Acute Inpatient Mental Health Units: Implementation Processes, Common Practices, and Barriers to Use.

Information technology to promote health (eHealth) is an important and growing area of mental healthcare, yet little is known about the use of patient-facing eHealth in psychiatric inpatient settings. This quality improvement project examined the current practices, barriers, implementation processes, and contextual factors affecting eHealth use across multiple Veteran Health Administration (VHA) acute mental health inpatient units. Staff from units serving both voluntary and involuntary patients (n = 49 from 37 unique sites) completed surveys regarding current, desired, and barriers to use of Veteran-facing eHealth technologies. Two subsets of respondents were then interviewed (high success sites in eHealth use, n = 6; low success sites, n = 4) to better understand the context of their eHealth use. Survey responses indicated that 20% or less of Veterans were using any type of eHealth technology while inpatient. Tablets and video chat were the most desired overall and most successfully used eHealth technologies. However, many sites noted difficulty implementing these technologies (e.g., limited Wi-Fi access). Qualitative analysis of interviews revealed differences in risk/benefit analysis and implementation support between high and low success eHealth sites. Despite desired use, patient-facing eHealth technology is not regularly implemented on inpatient units due to multiple barriers (e.g., limited staffing, infrastructure needs). Successful implementation of patient-facing eHealth may require an internal champion, guidance from external supports with experience in successful eHealth use, workload balance for staff, and an overall perspective shift in the benefits to eHealth technology versus the risks.

Racial disparities in the workplace: The impact of isolation on perceived organizational support and job satisfaction.

OBJECTIVE: Prior research indicates Black employees may be particularly vulnerable to job dissatisfaction and that social support at work is a potential resource that could influence employee outcomes. This study examined racial differences in workplace social networks and support, and how these factors may contribute to perceived organizational support and, ultimately, job satisfaction among mental health workers. METHOD: Using data from an all-employee survey in a community mental health center (N = 128), we assessed racial differences in social network supports, hypothesizing that Black employees would report smaller and less supportive social networks, and lower levels of organizational support and job satisfaction compared to White employees. We also hypothesized that workplace network size and support would be positively associated with perceived organizational support and job satisfaction. RESULTS: Hypotheses were partially supported. Compared to Whites, Blacks had smaller workplace networks that were less likely to include supervisors, were more likely to report workplace isolation (naming no workplace social ties), and were less likely to seek advice from their social ties at work. Regression analyses showed that Blacks and employees with smaller networks were more likely to perceive lower levels of organizational support, even after controlling for background variables. However, race and network size did not predict overall job satisfaction. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: These findings suggest that Black mental health services staff are less likely to have rich, diverse workplace networks than their White colleagues, which may put them at a disadvantage in terms of accessing support and other resources. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Do People With Schizophrenia Enjoy Social Activities as Much as Everyone Else? A Meta-analysis of Consummatory Social Pleasure.

BACKGROUND: The "emotion paradox" of schizophrenia suggests people with schizophrenia demonstrate deficits when reporting anticipated and retrospective pleasure; yet, in-the-moment, consummatory pleasure is largely intact. It is uncertain how these findings extend to social situations. This meta-analysis aimed to (1) determine the mean difference in consummatory social pleasure between people with schizophrenia and healthy controls, and (2) examine moderators of this effect, including study design and clinical characteristics of participants. DESIGN: A literature search using PsycINFO, Web of Science, Pubmed, and EMBASE databases was conducted. Studies measuring consummatory social pleasure using experience sampling methods and laboratory social simulations were included. Random effects meta-analyses were conducted using Hedge's g. RESULTS: Meta-analysis of 26 studies suggests people with schizophrenia exhibited a small, significant deficit in consummatory social pleasure (g = -0.38, 90% CI [-0.53, -0.22]). There was significant heterogeneity in effect sizes; magnitude was moderated by study design and type of measure used to assess social pleasure. CONCLUSIONS: Overall, people with schizophrenia seem to exhibit less consummatory social pleasure than controls. However, this deficit is smaller than in studies of anticipated and retrospective pleasure. Thus, consummatory social pleasure may not be quite as impaired in people with schizophrenia as traditional anhedonia research suggests. Moreover, pleasure deficits observed in people with schizophrenia may result from differences in the quality of their daily social experiences rather than differences in their capacity for social pleasure. Results have important implications for clinical interventions that address barriers to social engagement, low-pleasure beliefs, and cognitive remediation to treat schizophrenia.

Mild vs. moderate: How behavioral speech measures predict metacognitive capacity across different levels of formal thought disorder.

Disorganized speech is a key component of formal thought disorder (FTD) in schizophrenia. Recent work has tied disorganized speech to deficits in metacognition, or one's ability to integrate experiences to form complex mental representations. The level of FTD at which differences in metacognitive capacity emerge remains unclear. Across two studies, using different cut scores to form FTD groups, we aimed to 1) explore the relationship between disorganized speech and metacognition and 2) compare trained rater and automated analysis methods. Clinical interviews were coded for disorganized speech and metacognition using the Communication Disturbances Index (CDI), Coh-Metrix multidimensional indices, and Metacognition Assessment Scale. In Study 1, we examined CDI and Coh-Metrix's ability to predict metacognition in FTD (n = 16) and non-FTD (n = 29) groups. We hypothesized the FTD group would have lower metacognition and that both CDI and Coh-Metrix would account for significant variance in metacognition. In Study 2, we conducted the same analyses with an independent sample using more stringent FTD cut scores (FTD: n = 23; non-FTD: n = 23). Analyses indicated that at a moderate but not mild cutoff: 1) automated methods differentiated FTD and non-FTD groups, 2) differences in metacognition emerged, and 3) behavioral measures accounted for significant variance (34%) in metacognition. Results emphasize the importance of setting the FTD cutoff at a moderate level and using samples that contain high levels of FTD. Findings extend research linking FTD and metacognition and demonstrate the benefit of pairing trained rater and automated speech measures.

Exploring Factors Impacting the Implementation of Recovery-Oriented Treatment Planning on Acute Inpatient Mental Health Units.

PURPOSE: The current literature on operationalizing and implementing recovery-oriented inpatient care in diverse settings remains limited. The present study systematically examined factors affecting the implementation of one aspect of recovery-oriented care in a large and diverse national sample of Veterans Health Administration (VHA) inpatient mental health units. METHOD: VHA inpatient mental health units were scored on the Recovery-Oriented Acute Inpatient scale (RAIN). Sites scoring either one standard deviation above (n = 8; i.e., high-scoring sites) or one standard deviation below (n = 5; i.e., low-scoring sites) the mean on the RAIN factor of inpatient treatment planning subscale were included for additional analyses (N = 13). We used a qualitative approach known as emergent thematic analysis to assess the implementation of inpatient treatment planning elements (e.g., goal setting, shared decision-making) from qualitative interviews, observation notes, and chart reviews collected for the 13 sites. The analysis was guided by Normalization Process Theory. RESULTS: The eleven themes that emerged across the elements of recovery-oriented inpatient treatment planning mostly represented commonalities across sites, such as a shared treatment philosophy of acute care. However, five themes emerged as "differentiators" that distinguished high- and low-scoring sites and included veteran input, elicitation of recovery goals, the value of group programming, and the purpose of family involvement. CONCLUSION: Findings provide insight into contextual factors and processes that impacted the implementation of recovery-oriented treatment planning at these VHA inpatient mental health units. To further facilitate the implementation of recovery-oriented inpatient treatment planning elements, future research should examine staff's collective understanding of recovery-oriented inpatient care.

Recovery-oriented inpatient mental health care and readmission.

OBJECTIVE: This article examines the relationship between inpatient mental health units' adherence to recovery-oriented care and 30-day patient readmission. METHOD: The sample included patients admitted to one of 34 Veterans Health Administration inpatient mental health units. Recovery-oriented care was assessed using interviews and site visits. Patient characteristics and readmission data were derived from administrative data. FINDINGS: Overall recovery orientation was not associated with readmission. Exploratory analyses found higher scores on a subsample of items pertaining to inpatient therapeutic programming were associated with lower patient readmissions. Additionally, patients with more prior service use and substance abuse or personality disorders were more likely to be readmitted. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: A growing body of literature supports the association between psychotherapeutic services in inpatient units and better patient outcomes. However, further research is needed to examine this association. More work is needed to develop appropriate psychotherapy services for the inpatient setting and support their implementation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Proactive, Recovery-Oriented Treatment Navigation to Engage Racially Diverse Veterans in Mental Healthcare (PARTNER-MH), a Peer-Led Patient Navigation Intervention for Racially and Ethnically Minoritized Veterans in Veterans Health Administration Mental Health Services: Protocol for a Mixed Methods Randomized Controlled Feasibility Study.

BACKGROUND: Mental health care disparities are persistent and have increased in recent years. Compared with their White counterparts, members of racially and ethnically minoritized groups have less access to mental health care. Minoritized groups also have lower engagement in mental health treatment and are more likely to experience ineffective patient-provider communication, which contribute to negative mental health care experiences and poor mental health outcomes. Interventions that embrace recovery-oriented practices to support patient engagement and empower patients to participate in their mental health care and treatment decisions may help reduce mental health care disparities. Designed to achieve this goal, the Proactive, Recovery-Oriented Treatment Navigation to Engage Racially Diverse Veterans in Mental Healthcare (PARTNER-MH) is a peer-led patient navigation intervention that aims to engage minoritized patients in mental health treatment, support them to play a greater role in their care, and facilitate their participation in shared treatment decision-making. OBJECTIVE: The primary aim of this study is to assess the feasibility and acceptability of PARTNER-MH delivered to patients over 6 months. The second aim is to evaluate the preliminary effects of PARTNER-MH on patient activation, patient engagement, and shared decision-making. The third aim is to examine patient-perceived barriers to and facilitators of engagement in PARTNER-MH as well as contextual factors that may inhibit or promote the integration, sustainability, and scalability of PARTNER-MH using the Consolidated Framework for Implementation Research. METHODS: This pilot study evaluates the feasibility and acceptability of PARTNER-MH in a Veterans Health Administration (VHA) mental health setting using a mixed methods, randomized controlled trial study design. PARTNER-MH is tested under real-world conditions using certified VHA peer specialists (peers) selected through usual VHA hiring practices and assigned to the mental health service line. Peers provide PARTNER-MH and usual peer support services. The study compares the impact of PARTNER-MH versus a wait-list control group on patient activation, patient engagement, and shared decision-making as well as other patient-level outcomes. PARTNER-MH also examines organizational factors that could impact its future implementation in VHA settings. RESULTS: Participants (N=50) were Veterans who were mostly male (n=31, 62%) and self-identified as non-Hispanic (n=44, 88%) and Black (n=35, 70%) with a median age of 45 to 54 years. Most had at least some college education, and 32% (16/50) had completed ≥4 years of college. Randomization produced comparable groups in terms of characteristics and outcome measures at baseline, except for sex. CONCLUSIONS: Rather than simply documenting health disparities among vulnerable populations, PARTNER-MH offers opportunities to evaluate a tailored, culturally sensitive, system-based intervention to improve patient engagement and patient-provider communication in mental health care for racially and ethnically minoritized individuals. TRIAL REGISTRATION: ClinicalTrials.gov NCT04515771; https://clinicaltrials.gov/ct2/show/NCT04515771. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37712.

Treatment completion among justice-involved youth engaged in behavioral health treatment studies in the United States: A systematic review and meta-analysis.

Justice-involved youth (JIY) have high rates of behavioral health disorders, but few can access, much less complete, treatment in the community. Behavioral health treatment completion among JIY is poorly understood, even within treatment studies. Measurement, reporting, and rates of treatment completion vary across studies. This systematic review and meta-analysis synthesizes the literature on rates of treatment completion among JIY enrolled in research studies and identifies potential moderators. After systematically searching 6 electronic databases, data from 13 studies of 20 individual treatment groups were abstracted and coded. A meta-analysis examined individual prevalence estimates of treatment completion in research studies as well as moderator analyses. Prevalence effect sizes revealed high rates of treatment completion (pr = 82.6). However, analysis suggests a high likelihood that publication bias affected the results. Treatment groups that utilized family- or group-based treatment (pr = 87.8) were associated with higher rates of treatment completion compared to treatment groups utilizing individual treatment (pr = 61.1). Findings suggest that it is possible to achieve high rates of treatment completion for JIY, particularly within the context of family- and group-based interventions. However, these findings are limited by concerns about reporting of treatment completion and publication bias.