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.

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.

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.

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.

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.

Do adolescents consider mind-body skills groups an acceptable treatment for depression: results from a pilot study.

BACKGROUND: Mind-Body Skills Groups (MBSGs) have shown promise in reducing adolescent depression symptoms; however, little is known about adolescents' perspectives on this treatment. The objective of this study was to understand the acceptability of a new treatment for depressed adolescents in primary care settings. METHODS: Adolescents participating in a 10-week MBSG treatment were interviewed to understand their perspectives on the acceptability and effectiveness of the treatment. Interviews were collected at post-intervention and at a 3-month follow-up visit. RESULTS: A total of 39 adolescents completed both the post-intervention and 3-month follow-up interview. At post-intervention and follow-up, 84% of adolescents stated the MBSGs helped them. When asked how the MBSGs helped them, 3 areas were identified: learning new MBSG activities and skills, social connection with others within the group, and outcomes related to the group. Many adolescents reported no concerns with the MBSGs (49% at post- intervention; 62% at follow-up). Those with concerns identified certain activities as not being useful, wanting the group to be longer, and the time of group (after school) being inconvenient. Most adolescents reported that their life had changed because of the group (72% at post-intervention; 61% at follow-up), and when asked how, common responses included feeling less isolated and more hopeful. CONCLUSIONS: Adolescents found the MBSGs to be helpful and acceptable as a treatment option for depression in primary care. Given the strong emphasis on treatment preference autonomy and the social activities within the group, MBSGs appear well-suited for this age group. TRIAL REGISTRATION: NCT03363750 ; December 6th, 2017.

Psychosocial outcomes of a pilot study of work-tailored cognitive behavioral therapy intervention for adults with serious mental illness.

OBJECTIVE: Many people with serious mental illness (SMI) continue to struggle with work functioning despite the receipt of supported employment (SE) services. In response, adjunctive interventions to SE have begun to be developed. One such approach, the cognitive behavioral therapy for work success (CBTw) intervention, targets cognitive and behavioral barriers to competitive work success in adults with SMI. Using a pre-post design, this pilot study examined the psychosocial outcomes of the CBTw program in 52 adults with SMI receiving SE. METHOD: Recovery attitudes, work-related self-efficacy, self-esteem, and symptom domains (depression, anxiety, psychosis) were measured at baseline and after the 12-week intervention. Paired samples t-tests examined changes in outcomes over time. RESULTS: At posttreatment, participants had significant improvements in recovery attitudes, self-esteem, depressive, and negative symptoms. Other psychosocial outcomes did not significantly change. CONCLUSIONS: This pilot work demonstrates CBTw is a promising intervention to improve recovery and wellness in SMI.

Designing and implementing an intervention for returning citizens living with substance use disorder: discovering the benefits of peer recovery coach involvement in pilot clinical trial decision-making.

Peer-facilitated services in behavioral health care remain underutilized within criminal justice-involved community organizations, and there is little guidance for how to best involve peer workers in behavioral health-focused research activities. This paper described lessons learned regarding implementation of peer recovery coaches (PRCs) as part of development and pilot research on Substance Use Programming for Person-Oriented Recovery and Treatment (SUPPORT), a peer-facilitated substance use disorder (SUD) intervention for returning citizens. Qualitative data were collected from learning meetings with key stakeholders and group interviews with SUPPORT clinical trial participants and PRCs. Transcripts were analyzed to identify key decisions made impacting the development, implementation, and/or revision of the SUPPORT intervention and pilot clinical trial protocols. Analysis demonstrated that PRC involvement drove many of the decisions made regarding modifications to the original intervention and trial protocols, while benefitting client-level interactions and by influencing the non-profit agency and its connection to stakeholders. Moreover, PRCs improved the research design by refining the incentive structure and data collection plans. PRC involvement also contributed to the development of more recovery-oriented resources and catering support services to the unique needs of justice-involved individuals. Discussed were the implications for the role of PRCs in justice-involved behavioral health research and treatment.

Impact of Supervisory Support on Turnover Intention: The Mediating Role of Burnout and Job Satisfaction in a Longitudinal Study.

High rates of provider turnover are problematic for our mental health system. Research indicates that supervisory support could alleviate some turnover intention by decreasing emotional exhaustion (a key component of burnout) as well as by increasing job satisfaction. However, the potential mediation mechanisms have not been rigorously tested. Longitudinal data collected from 195 direct clinical care providers at two community mental health centers identified positive effects of supervisory support on reduced turnover intention through reduced emotional exhaustion. Job satisfaction was not a significant mediator. Supervisory support may help mitigate turnover intention through work-related stress reduction.

A Comparative Effectiveness Trial to Reduce Burnout and Improve Quality of Care.

Clinician burnout is presumed to negatively impact healthcare quality; yet scant research has rigorously addressed this hypothesis. Using a mixed-methods, randomized, comparative effectiveness design, we tested two competing approaches to improve care-one addressing clinician burnout and the other addressing how clinicians interact with consumers-with 192 clinicians and 469 consumers at two community mental health centers. Although qualitative reports were promising, we found no comparative effectiveness for either intervention on burnout, patient-centered processes, or other outcomes. Discussion includes identifying ways to strengthen approaches to clinician burnout.

A Pilot Test of Group Based Cognitive Behavioral Therapy to Augment Vocational Services for Persons With Serious Mental Illness: Feasibility and Competitive Work Outcomes.

Persons with serious mental illness (SMI) struggle with work functioning even with the assistance of vocational services. The current study sought to address this problem by examining a cognitive-behavioral therapy to augment vocational services. Fifty-two adults with SMI receiving vocational services participated in a pre-post feasibility trial of the Cognitive Behavior Therapy for Work Success (CBTw) intervention. CBTw is a 12-week manualized intervention that addresses cognitive and behavioral factors that impact work functioning. Competitive work outcomes were assessed in the 12 weeks preceding baseline and after the intervention. The results demonstrate strong session attendance and a low attrition rate. There were also significant improvements in work outcomes. Specifically, among participants unemployed at baseline, 50.0% attained work during follow-up. These findings provide preliminary evidence that CBTw may be a feasible intervention to augment vocational services; further controlled research should examine its benefit to work outcomes in people with SMI.

Social capital and burnout among mental healthcare providers.

BACKGROUND: Provider burnout is a critical problem in mental health services. Contributing factors have been explicated across three domains: personal, job and organizational characteristics. Of these, organizational characteristics, including workplace environment, appear to be particularly important given that most interventions addressing burnout via the other domains (e.g. bolstering personal coping skills) have been modestly effective at best. AIMS: This study builds on previous research by using social capital as a framework for the experience of work social milieu, and aims to provide a richer understanding of how workplace social environment might impact burnout and help create more effective ways to reduce burnout. METHODS: Providers (n = 40) taking part in a larger burnout intervention study were randomly selected to take part in interviews regarding their workplace environment and burnout. Participant responses were analyzed thematically. RESULTS: Workplace social milieu revolved around two primary themes: workplace social capital in provider burnout and the protective qualities of social capital in cohesive work teams that appear to mitigate burnout. CONCLUSIONS: These results imply that work environments where managers support collaboration and social interaction among work teams may reduce burnout.

Integrating Self-Determination and Job Demands-Resources Theory in Predicting Mental Health Provider Burnout.

Limited progress has been made in reducing burnout in mental health professionals. Accordingly, we identified factors that might protect against burnout and could be productive focal areas for future interventions. Guided by self-determination theory, we examined whether supervisor autonomy support, self-efficacy, and staff cohesion predict provider burnout. 358 staff from 13 agencies completed surveys. Higher levels of supervisor autonomy support, self-efficacy, and staff cohesion were predictive of lower burnout, even after accounting for job demands. Although administrators may be limited in their ability to reduce job demands, our findings suggest that increasing core job resources may be a viable alternative.

The Relationship Between Professional Burnout and Quality and Safety in Healthcare: A Meta-Analysis.

BACKGROUND: Healthcare provider burnout is considered a factor in quality of care, yet little is known about the consistency and magnitude of this relationship. This meta-analysis examined relationships between provider burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) and the quality (perceived quality, patient satisfaction) and safety of healthcare. METHODS: Publications were identified through targeted literature searches in Ovid MEDLINE, PsycINFO, Web of Science, CINAHL, and ProQuest Dissertations & Theses through March of 2015. Two coders extracted data to calculate effect sizes and potential moderators. We calculated Pearson's r for all independent relationships between burnout and quality measures, using a random effects model. Data were assessed for potential impact of study rigor, outliers, and publication bias. RESULTS: Eighty-two studies including 210,669 healthcare providers were included. Statistically significant negative relationships emerged between burnout and quality (r = -0.26, 95 % CI [-0.29, -0.23]) and safety (r = -0.23, 95 % CI [-0.28, -0.17]). In both cases, the negative relationship implied that greater burnout among healthcare providers was associated with poorer-quality healthcare and reduced safety for patients. Moderators for the quality relationship included dimension of burnout, unit of analysis, and quality data source. Moderators for the relationship between burnout and safety were safety indicator type, population, and country. Rigor of the study was not a significant moderator. DISCUSSION: This is the first study to systematically, quantitatively analyze the links between healthcare provider burnout and healthcare quality and safety across disciplines. Provider burnout shows consistent negative relationships with perceived quality (including patient satisfaction), quality indicators, and perceptions of safety. Though the effects are small to medium, the findings highlight the importance of effective burnout interventions for healthcare providers. Moderator analyses suggest contextual factors to consider for future study.

Subjective Experiences of the Benefits and Key Elements of a Cognitive Behavioral Intervention Focused on Community Work Outcomes in Persons With Mental Illness.

New research suggests that group-based cognitive behavioral therapy (CBT) may help improve employment outcomes in persons with mental illness, yet the effects and potential key elements facilitating change in such interventions are unclear. Using a mixed methods approach, this study examined the perspectives of persons with mental illness after participating in a pilot study of the "CBT for Work Success" intervention. Findings demonstrate that participants valued the intervention and perceived that it assisted them in achieving work goals. Therapeutic effects included improved self-efficacy, work motivation, enhanced sense of self as workers, and increased beliefs that work success is attainable. CBT for Work Success elements perceived to be important in facilitating work goals included cognitive restructuring, behavioral coping strategies, problem solving work barriers, meaningful reflection on oneself as a worker, and important factors associated with the group process. The authors discuss the implications of these findings and future research directions.

What Factors are Associated with Consumer Initiation of Shared Decision Making in Mental Health Visits?

Understanding consumer initiation of shared decision making (SDM) is critical to improving SDM in mental health consultations, particularly because providers do not always invite consumer participation in treatment decisions. This study examined the association between consumer initiation of nine elements of SDM as measured by the SDM scale, and measures of consumer illness self-management and the consumer-provider relationship. In 63 mental health visits, three SDM elements were associated with self-management or relationship factors: discussion of consumer goals, treatment alternatives, and pros and cons of a decision. Limitations, implications, and future directions are discussed.

Investigating the reliability and validity of the Dutch versions of the illness management and recovery scales among clients with mental disorders.

BACKGROUND: The Illness Management and Recovery scales (IMRS) can measure the progress of clients' illness self-management and recovery. Previous studies have examined the psychometric properties of the IMRS. AIMS: This study examined the reliability and validity of the Dutch version of the IMRS. METHOD: Clients (n = 111) and clinicians (n = 40) completed the client and clinician versions of the IMRS, respectively. The scales were administered again 2 weeks later to assess stability over time. Validity was assessed with the Utrecht Coping List (UCL), Dutch Empowerment Scale (DES), and Brief Symptom Inventory (BSI). RESULTS: The client and clinician versions of the IMRS had moderate internal reliability, with α = 0.69 and 0.71, respectively. The scales showed strong test-retest reliability, r = 0.79, for the client version and r = 0.86 for the clinician version. Correlations between client and clinician versions ranged from r = 0.37 to 0.69 for the total and subscales. We also found relationships in expected directions between the client IMRS and UCL, DES and BSI, which supports validity of the Dutch version of the IMRS. CONCLUSIONS: The Dutch version of the IMRS demonstrated good reliability and validity. The IMRS could be useful for Dutch-speaking programs interested in evaluating client progress on illness self-management and recovery.

The Relationship Between Provider Competence, Content Exposure, and Consumer Outcomes in Illness Management and Recovery Programs.

Provider competence may affect the impact of a practice. The current study examined this relationship in sixty-three providers engaging in Illness Management and Recovery with 236 consumers. Improving upon previous research, the present study utilized a psychometrically validated competence measure in the ratings of multiple Illness Management and Recovery sessions from community providers, and mapped outcomes onto the theory underlying the practice. Provider competence was positively associated with illness self-management and adaptive coping. Results also indicated baseline self-management skills and working alliance may affect the relationship between competence and outcomes.

Comparing the Costs and Acceptability of Three Fidelity Assessment Methods for Assertive Community Treatment.

Successful implementation of evidence-based practices requires valid, yet practical fidelity monitoring. This study compared the costs and acceptability of three fidelity assessment methods: on-site, phone, and expert-scored self-report. Thirty-two randomly selected VA mental health intensive case management teams completed all fidelity assessments using a standardized scale and provided feedback on each. Personnel and travel costs across the three methods were compared for statistical differences. Both phone and expert-scored self-report methods demonstrated significantly lower costs than on-site assessments, even when excluding travel costs. However, participants preferred on-site assessments. Remote fidelity assessments hold promise in monitoring large scale program fidelity with limited resources.

Additional support for the cognitive model of schizophrenia: evidence of elevated defeatist beliefs in schizotypy.

OBJECTIVES: The cognitive model of poor functioning in schizophrenia posits that defeatist performance beliefs-overgeneralized negative beliefs about one's ability to perform tasks-develop prior to the onset of psychosis and contribute to the development and maintenance of negative symptoms and poor functioning. Although several studies with schizophrenia samples have provided support for the model, there is a paucity of research investigating these beliefs in individuals with schizotypy-those exhibiting traits reflecting a putative genetic liability for schizophrenia. This study had two aims: to examine whether defeatist performance beliefs (1) are elevated in schizotypy compared to controls and (2) are associated with decreased quality of life and working memory and increased negative but not positive schizotypy traits in the schizotypy group. METHODS: Schizotypy (n=48) and control (n=53) groups completed measures of schizotypy traits, defeatist performance beliefs, quality of life, and working memory. RESULTS: Analyses revealed that the schizotypy group reported significantly more defeatist performance beliefs than the control group. Within the schizotypy group, increased defeatist performance beliefs were significantly associated with greater negative schizotypy traits and lower quality of life. No significant associations were observed between defeatist performance beliefs and positive schizotypy traits and working memory. CONCLUSIONS: Results generally support the theoretical validity of the cognitive model of poor functioning in schizophrenia and suggest that elevated defeatist performance beliefs may contribute to the manifestation of subclinical negative symptom traits and reduced quality of life among those with a latent vulnerability for schizophrenia.