Community-based Behavioral Health Research Articles

Temporal Patterns of Suicidality Among Adolescents Receiving Behavioral and Mental Health Services in the Community: A Survival Analysis.

Adolescent suicide is a major public health concern, particularly among adolescents who have endured Adverse Childhood Experiences (ACEs). Adolescents who have been exposed to multiple ACEs are as much as three times more likely to present with suicidality compared to the general adolescent population. Adolescents who have been exposed to multiple ACEs are also more likely to receive behavioral and mental health services in the community. It is therefore important to understand patterns of suicidality among this sub-population of adolescents in order to provide the best clinical care. The present study examined the temporal patterns of suicidality among adolescents who have been exposed to multiple ACEs and are receiving behavioral and mental health services in the community. Using Electronic Health Record (EHR) data from a community-based behavioral and mental health care organization, an exploratory survival analysis was conducted on time to suicidal thoughts and behaviors (STBs) after suicidality risk screen at intake. Average time from suicidality risk screen at intake to STB was 185 days (6.2 months). Youth who screened negative for suicidality risk at intake had a longer survival time than youth who screened positive for suicidality risk, and the survival distributions between the two groups was significant. Predictors of STBs were also examined, with gender being a significant predictor of an STB occurring during the follow-up period. These findings may be used to guide suicidality screening and clinical practice at community-based behavioral and mental health care organizations serving adolescents who have been exposed to multiple ACEs.

A Secret Shopper Study of Language Accessibility of Community-based Behavioral Health Services for Children in Families Who Speak Spanish and English

To compare outpatient behavioral health scheduling for children in Spanish-speaking families in Pennsylvania with that for children in families who speak English. We made paired English and Spanish telephone calls to outpatient behavioral health facilities using a standardized script, describing a simulated, stable, Medicaid-insured child. Facilities were identified using the Pennsylvania Department of Human Services Online Provider Directory for Mental Health and Substance Abuse Services, which had 288 outpatient facilities with non-duplicate telephone numbers. An English-language caller following a script made up to two call attempts per facility from December 2019 through February 2020. The 126 facilities that did not answer the phone, accept Medicaid, or see children were removed. A Spanish-language caller then made up to two scripted call attempts to the 162 remaining facilities. The primary outcome was whether the facility tried to schedule an appointment for the simulated adolescent. 125 facilities answered both English- and Spanish-language calls. For the English-language caller, 71% of facilities attempted to schedule an appointment and 100% communicated in the caller's preferred language. For the Spanish-language caller, 24% attempted to schedule an appointment (P<0.001) and 25% communicated in the caller's preferred language (P<0.001). Among outpatient behavioral health facilities for Medicaid-insured children in Pennsylvania, there were inequities in access to appointments for families who speak Spanish compared with English. This a modifiable barrier to care. Community-based behavioral health care for children should strengthen language access training, contracting, and oversight.

Psychiatric Residential Treatment Facilities for Child Behavioral Health Services in North Carolina Medicaid

Background Psychiatric residential treatment facilities (PRTFs) are non-hospital inpatient treatment settings for children with severe be­havioral health disorders. PRTFs are a restrictive and costly form of care that can potentially be avoided with community-based behavioral health services. Methods Statewide Medicaid enrollment and claims data for 2015–2022 were used to describe PRTF utilization in North Carolina. We examined annual episodes of care in PRTFs and compared trends before and during the COVID-19 public health emergency. Results From 2015 to 2022, 10,038 children insured by NC Medicaid entered a PRTF across 10,966 episodes of care. In the past five years (2018–2022), care in PRTFs resulted in Medicaid expenditures of over $550 million total, or over $100 million per year. In 2022, 42% of children who entered PRTFs were in foster care and 44% of children were placed in PRTFs outside of North Carolina. Limitations The analysis was limited to data collected for administrative purposes. Conclusions Current trends indicate an ongoing overrepresentation of children in foster care placed in PRTFs and increased out-of-state PRTF placements. Coordinated efforts in future research, policy, and practice are needed to determine the cause of these trends and iden­tify solutions.

Sociocultural Responsive Frameworks to Increase Engagement in Service Systems Through a Peer-to-Peer Model.

Service engagement is critical when working with children and families experiencing chronic adversities because of their socially marginalized status. Further, sociodemographic disparities exist in service engagement within service systems including Community-Based Behavioral Health; likely in part, a result of structural issues driving unresponsive service systems. Despite this knowledge, a large proportion of the family engagement literature continues to be approached through a deficit-based and family-centric lens leaving out important systemic considerations and furthering health inequities. Drawing from a Socio-Ecological Framework (Stokols, 1996), this study focuses on exploring the value of peer support providers (PSPs) to understand how sociocultural responsiveness functions under this service model. Individual interviews and focus group data were collected from both families and PSPs. Thematic analysis (Braun & Clarke in Qualitative Research in Psychology, 3(2), 77-101, 2006) was utilized to code and synthetize the data collected. Findings highlight the importance of capitalizing on meaningful and trusting relationships to foster family engagement in services. These findings solidify the understanding that family engagement is a function of crucial relationships between family, provider, and systems. This work also illustrates how PSPs organic embodiment of sociocultural responsiveness through cultural humility is an avenue through which family engagement can be sustained.

Conditions of successful treatment referral practices with justice-involved youth: Qualitative insights from probation and service provider staff involved in JJ-TRIALS

IntroductionCompared to the general U.S. adolescent population, young people involved in the juvenile justice system are at greater risk of experiencing substance use (SU) issues. There are critical opportunities across the juvenile justice continuum, at points of interface with community-based treatment services, to screen and assess for SU issues, identify unmet treatment needs, and refer those in need to treatment. The treatment referral process is, however, complex, and contingent on a seamless nexus between juvenile justice operations and the wider treatment provider landscape. Given the lack of successful SU referrals among justice-involved youth and the variable referral rates across jurisdictions, this study's aim is to provide a qualitative, explanatory understanding of the conditions that together contribute to successful referring practices. MethodsThe study is based on an analysis of a qualitative dataset comprising focus group data with probation and community-based behavioral health treatment staff working in 31 sites in 6 different states as part of the clustered randomized trial of an organizational change intervention known as JJ-TRIALS (Juvenile Justice Translational Research on Interventions for Adolescents in the Legal System). The data contain respondents' narratives on the achievements, successes, and challenges with implementing the intervention. The data were analyzed through a combination of strategies to identify the conditions that both facilitate and impede referral processes between probation offices and community-based SU treatment providers. ResultsParticipants across sites discussed the positive impacts that the JJ-TRIALS intervention had on their improved ability to communicate, collaborate, and collect data. From the interviews, seven main conditions were observed to contribute to successful SU treatment referral practices: (1) communication (inter-organizational); (2) collaboration; (3) data-driven practices; (4) family engagement; (5) institutionalized policy and referral documentation; (6) efficient referral policies and procedures; and (7) suitable and accessible system of treatment providers. ConclusionFindings highlight the value of a holistic understanding of successful treatment referrals for justice-involved youth and help inform research and practice efforts to identify and measure the many dimensions of referral-making at the interface of juvenile probation and behavioral health services.

Using a Learning Collaborative Model to Improve Youth Psychiatric Residential Treatment

ABSTRACT As part of a transformation initiative, a behavioral health managed care organization partnered with 14 youth psychiatric residential treatment facilities (PRTFs) through a Learning Collaborative to support clinical training, family engagement, community integration, and medication monitoring. Self-reported progress toward sustainable implementation, monitored monthly, improved significantly over time (F = 15.05, p < .0001). Clinical and direct care PRTF staff (N = 1,580) received either in-person or virtual clinical training. Scores on a pre- and post-training knowledge test increased significantly for both in-person and virtual training (p < .001 for both), and training satisfaction was high. Percentage of youth with therapeutic family sessions per month did not change over the Learning Collaborative; this percentage began and remained high (Range: 90.71% to 93.37%). Strategies to engage youth and families in organizational governance increased significantly (e.g. including youth/family partners on staff and in program development). The number of partnerships between PRTFs and community-based behavioral health providers did not change over time. Instead, number of partnerships began and remained high (Range: 38.36 to 48.08). PRTFs also tracked medications monthly to develop internal systems to monitor prescribing practices. This study highlights the value of partnerships and the Learning Collaborative approach to support a continuous quality improvement process.

Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach

BackgroundWhile the positive impact of homework completion on symptom alleviation is well-established, the pivotal role of therapists in reviewing these assignments has been under-investigated. This study examined therapists' practice of assigning and reviewing action recommendations in therapy sessions, and how it correlates with patients’ depression and anxiety outcomes.MethodsWe analyzed 2,444 therapy sessions from community-based behavioral health programs. Machine learning models and natural language processing techniques were deployed to discern action recommendations and their subsequent reviews. The extent of the review was quantified by measuring the proportion of session dialogues reviewing action recommendations, a metric we refer to as “review percentage”. Using Generalized Estimating Equations modeling, we evaluated the correlation between this metric and changes in clients' depression and anxiety scores.ResultsOur models achieved 76% precision in capturing action recommendations and 71.1% in reviewing them. Using these models, we found that therapists typically provided clients with one to eight action recommendations per session to engage in outside therapy. However, only half of the sessions included a review of previously assigned action recommendations. We identified a significant interaction between the initial depression score and the review percentage (p = 0.045). When adjusting for this relationship, the review percentage was positively and significantly associated with a reduction in depression score (p = 0.032). This suggests that more frequent review of action recommendations in therapy relates to greater improvement in depression symptoms. Further analyses highlighted this association for mild depression (p = 0.024), but not for anxiety or moderate to severe depression.ConclusionsAn observed positive association exists between therapists’ review of previous sessions’ action recommendations and improved treatment outcomes among clients with mild depression, highlighting the possible advantages of consistently revisiting therapeutic homework in real-world therapy settings. Results underscore the importance of developing effective strategies to help therapists maintain continuity between therapy sessions, potentially enhancing the impact of therapy.

Disclosing Recovery: A pilot randomized controlled trial of a patient decision aid to improve disclosure processes for people in treatment for opioid use disorder

IntroductionPeople engaged in treatment for opioid use disorder (OUD) report struggling with whether and how to disclose, or share information about their OUD history and/or treatment with others. Yet, disclosure can act as a gateway to re-establishing social connection and support during recovery. The current study describes a pilot randomized controlled trial of Disclosing Recovery: A Decision Aid and Toolkit, a patient decision aid designed to facilitate disclosure decisions and build disclosure skills. MethodsParticipants (n = 50) were recruited from a community-based behavioral health organization in 2021–2022 and randomized to receive the Disclosing Recovery intervention versus an attention-control comparator. They responded to surveys immediately after receiving the intervention as well as one month following the intervention at a follow-up appointment. Primary outcome analyses examined indicators of implementation of the intervention to inform a future efficacy trial. Secondary outcome analyses explored impacts of the intervention on the decision-making process, disclosure rates, and relationships. ResultsParticipants were successfully recruited, randomized, and retained, increasing confidence in the feasibility of future efficacy trials to test the Disclosing Recovery intervention. Moreover, participants in the Disclosing Recovery intervention agreed that the intervention is acceptable, feasible, and appropriate. They additionally reported a higher quality of their decision-making process and decisions than participants in the comparator condition. At their follow-up appointment, participants with illicit opioid use who received the Disclosing Recovery intervention were less likely to disclose than those who received the comparator condition. Moreover, significant interactions between illicit opioid use and the intervention condition indicated that participants without illicit opioid use who received the Disclosing Recovery intervention reported greater closeness to and social support from their planned disclosure recipient than those who received the comparator condition. ConclusionsThe Disclosing Recovery intervention appears to be an acceptable, feasible, and appropriate patient decision aid for addressing disclosure processes among people in treatment for OUD. Moreover, preliminary results suggest that it shows promise in improving relationship closeness and social support in patients without illicit opioid use. More testing is merited to determine the intervention's efficacy and effectiveness in improving relationship and treatment outcomes for people in treatment for OUD.

Adult Depression and Anxiety Outcomes at a Student-Staffed Mental Health Clinic

Purpose: Student-staffed behavioral health clinics may increase low-cost access to mental health services, but there is a need to assess these models. This retrospective study evaluates the effect of a community-based, nonprofit, and student-staffed mental health program on adult clients’ depression, anxiety, and global distress to determine if this program model improves outcomes. Method: Historical, de-identified client demographic and Brief Symptom Inventory (BSI) data ( n = 627) was evaluated using paired sample t-tests to determine the effectiveness of treatment from graduate students working at a community mental health clinic. Results: As clients progressed in therapy, their depression, anxiety, and overall global severity index significantly improved. Over the course of treatment, there was an 18% decrease in the number of clients presenting with clinically relevant scores. Discussion: It is recommended that community-based student-staffed behavioral health clinics be considered as they have the potential to provide effective, low-cost services for many in need.

Building a Community-Academic Partnership to Expand Workforce Development in Underserved, High-Need/High-Demand Areas.

This case study highlights the partnership development between a large, urban, public, community-based behavioral health system and an academic program. Using principles of partnership building and facilitators that enhance partnership building, we describe the process of initiating, building, and sustaining the partnership. The Health Resources and Services Administration (HRSA) workforce development initiative was the primary catalyst for the partnership development. The public, community-based behavioral health system is located in an urban, medically underserved area and health care professional shortage area. The academic partner is a master in social work (MSW) program in Michigan. We assessed partnership development by using process and outcome measures that captured changes in the partnerships and in implementation of the HRSA workforce development grant. The goals of this partnership were to develop the infrastructure to support the training of MSW students, expand workforce skills in integrated behavioral health, and increase the number of MSW graduates who work with medically underserved populations. During 2018-2020, the partnership trained 70 field instructors, engaged 114 MSW students in HRSA field placements, and developed 35 community-based field sites (including 4 federally qualified health centers). The partnership provided training for field supervisors and for HRSA MSW students and developed new courses/trainings focusing on integrated behavioral health assessment/intervention practices, trauma-informed care, cultural awareness, and telebehavioral health practices. Of 57 HRSA MSW graduates who responded to a postgraduation survey, 38 (66.7%) were employed in medically underserved, high-need/high-demand urban areas. Partnership sustainability was helped by formal agreements, regular communication, and a collaborative decision-making approach.

Psychometric evaluation of a pragmatic measure of clinical supervision as an implementation strategy

BackgroundValid and reliable measurement of implementation strategies is essential to advancing implementation science; however, this area lags behind the measurement of implementation outcomes and determinants. Clinical supervision is a promising and highly feasible implementation strategy in behavioral healthcare for which pragmatic measures are lacking. This research aimed to develop and psychometrically evaluate a pragmatic measure of clinical supervision conceptualized in terms of two broadly applicable, discrete clinical supervision techniques shown to improve providers’ implementation of evidence-based psychosocial interventions—(1) audit and feedback and (2) active learning.MethodsItems were generated based on a systematic review of the literature and administered to a sample of 154 outpatient mental health clinicians serving youth and 181 community-based mental health providers serving adults. Scores were evaluated for evidence of reliability, structural validity, construct-related validity, and measurement invariance across the two samples.ResultsIn sample 1, confirmatory factor analysis (CFA) supported the hypothesized two-factor structure of scores on the Evidence-Based Clinical Supervision Strategies (EBCSS) scale (χ2=5.89, df=4, p=0.208; RMSEA=0.055, CFI=0.988, SRMR=0.033). In sample 2, CFA replicated the EBCSS factor structure and provided discriminant validity evidence relative to an established supervisory alliance measure (χ2=36.12, df=30, p=0.204; RMSEA=0.034; CFI=0.990; SRMR=0.031). Construct-related validity evidence was provided by theoretically concordant associations between EBCSS subscale scores and agency climate for evidence-based practice implementation in sample 1 (d= .47 and .55) as well as measures of the supervision process in sample 2. Multiple group CFA supported the configural, metric, and partial scalar invariance of scores on the EBCSS across the two samples.ConclusionsScores on the EBCSS provide a valid basis for inferences regarding the extent to which behavioral health providers experience audit and feedback and active learning as part of their clinical supervision in both clinic- and community-based behavioral health settings.Trial registrationClinicalTrials.gov NCT04096274. Registered on 19 September 2019.

Prevalence of Workplace Violence and Associated Factors Against Nurses Working in Public Hospitals in Northeastern Ethiopia, 2022.

Workplace violence against nurses is a burgeoning public health issue affecting developing countries' healthcare industries. Medical staff, particularly nursing staff, have been subjected to a high level of violence from patients, visitors, and coworkers. Aimed to assess the magnitude and associated factors of workplace violence among nurses working in public hospitals in northeast Ethiopia. A multicenter hospital-based cross-sectional study was employed among 568 nurses using census method among public hospitals in Northeast Ethiopia in 2022. The data was gathered using a pretested structured questionnaire and entered into Epi Data version 4.7 before being exported to SPSS version 26 for analysis. Furthermore, at 95% CI, multivariable binary logistic regression was used, and variables with P-values of <.05 were found to be significant. Out of the total 534 respondents, 56% had been exposed to workplace violence in the past 12 months, with verbal abuse accounting for 264 (49.4%), physical abuse 112 (21%), bullying 93 (17.2%), and sexual harassment 40 (7.5%). Being female nurses (adjusted odds ratio [AOR = 4.85, 95% CI (3.178, 7.412)]), having an age > 41 [AOR = 2.27, 95% CI (1.101, 4.701)], nurses who had drunk alcohol in the past 30 days [AOR = 7.94, 95% CI (3.027, 20.86)], nurses who drink alcohol in their lifetime [AOR = 3.14, 95% CI (1.328, 7.435)], and male patients [AOR = 4.84, 95% CI (2.496, 9.415)] were positive predictors of workplace violence. In this study, the magnitude of workplace violence among nurses was relatively higher. Nurses' sex, age, alcohol habit, and sex of patients were associated with workplace violence. Therefore, intensive facility-based and community-based behavioral change health promotion activities on workplace violence should be done, with particular focus on nurses and patients.

Juvenile Justice, Technology and Family Separation: A Call to Prioritize Access to Family-Based Telehealth Treatment for Justice-Involved Adolescents' Mental Health and Well-Being.

Separating children from families has deleterious effects on children's mental health and well-being, which is highly relevant for youth in juvenile detention and other out-of-home residential placements. Despite growth in the evidence of family-based interventions in mitigating adverse behavioral health outcomes for justice involved adolescents (JIA), gaps remain in intervention dissemination for JIA; this particularly true for those leveraging digital health technologies, a need that has intensified with the COVID-19 pandemic. Use of digital health technologies for JIAs is pressing to address structural barriers in maintaining JIA-family connections, but also to improve treatment access for detained JIAs. Court systems' capacity to support use of digital health tools, such as telehealth, appear promising. Data on the use of tele-conferencing in U.S. juvenile and family courts were collected from 456 juvenile justice professionals as part of a larger study on judicial decision making. Results suggest overwhelming adoption of video-conferencing for court hearings with only 40% of respondents reporting family court use prior to the onset of COVID-19, but majority (91%) now reporting its routine use. Youth participate from a range of settings, including detention, other residential placement, community-based behavioral health and in-home settings. The COVID-19 pandemic has created a shift in the uptake of video-conferencing platforms that could hold promise for future larger scale use across the juvenile justice system. Findings underscore feasibility and acceptability of technology requirements in key settings that should be leveraged for broad scale implementation of empirically supported family-based interventions to advance behavioral health equity for JIA.

Colonial Regimes of Mental Health, Substance Use, Drug Treatment, and Recovery: A Locally Contextualized, Anticolonial Response

Documented in this article is the anticolonial treatment modality developed by a community-based behavioral health center on the island of O‘ahu, Hawai‘i—situated in a predominately Native Hawaiian community reacting to and affected by American colonial control of the Hawaiian Islands since 1893. We tie Haraway’s concept of “situated knowledges” to the methodology of Clarke’s “situational analysis” as a conceptual framing and a methodological approach in engaging the work of decolonizing health concepts and treatment regimens commonly taken for granted. Enfolding within that process the conceptual mapping for an indigenously informed way of thinking that emphasizes the relationship between colonizing “systems of care”—which emerge out of a sociocultural context of cultural domination that has broken down communally embedded Indigenous identities through individualism and exclusion or othering (i.e., hereafter abbreviated DIE)—and the need for decolonizing social processes that are in greater harmony with the rise of Hawaiian national consciousness (‘Olu‘olu) through communalistic notions of care (Lokahi) and nurturing cultural identities in balance with secular and non-secular relations anchored in historical and contemporary contexts (Aloha; i.e., hereafter abbreviated OLA). By increasing the convergence of OLA with the cultural mainstream of DIE as a unifying reference point applied to other Hawaiian and indigenous groups in both theory and praxis, this article is both a contribution to the social science of treatment, and to the literature on decolonizing drugs and alcohol.

Correlates of suicide risk among Black and White adults with behavioral health disorders in criminal-legal systems

BackgroundAdults with behavioral health disorders in criminal-legal systems are at heightened risk of suicide relative to the general population. Despite documented racial disparities in criminal processing and behavioral health treatment, few studies have examined racial differences in suicide risk in this already high-risk population. This study examined 1) the correlates of suicide risk in this population overall and by race and 2) the moderating role of race in these associations.MethodsWe investigated correlates of clinician-rated suicide risk at baseline in a statewide sample of 2,827 Black and 14,022 White adults with criminal-legal involvement who engaged in community-based behavioral health treatment. Regression-based approaches were used to model suicide risk and test for evidence of interaction effects.ResultsFindings showed the strongest correlates of suicide risk were greater behavioral health needs, evidence of self-harm, and a primary mental health diagnosis or co-occurring diagnosis. In race-specific analyses, correlates of suicide risk were mostly similar for both Black and White clients, with a couple exceptions. Interaction terms testing between-group effects on correlates of suicide risk were non-significant.ConclusionsAdults with behavioral health disorders in criminal-legal systems experience similar risk factors for suicide as the general population. Similar to prior research, we found that Black adults, in particular, are at lower risk for suicide overall. Contrary to expectations, we found similarities in correlates of suicide risk across race in our sample of felony-level adults with behavioral health disorders in the criminal-legal system. Prior research shows that behavioral health professionals should be cognizant of cultural factors when developing a comprehensive approach to suicide care and treatment. Our findings show correlates of suicide risk are largely stable in Black and White adults involved in criminal-legal systems, suggesting culturally responsive treatment for suicide risk should target shared risk factors.

California Joins Six States in Setting Standards for MH/SUD Appointment Wait Times

California Joins Six States in Setting Standards for MH/SUD Appointment Wait Times

A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS)

IntroductionThe CANS is the most popular measurement tool in the System of Care (SoC), with the potential to generate an estimated 1.9 million evaluations per year in the United States. This dataset has broad potential for decision support and outcomes monitoring, yet many SoC services do not yet leverage this information asset. We report here the results of a pilot project in which we applied machine learning methods to CANS data for the purpose of identifying clinical profiles associated with improvement in a public community-based behavioral health program in Pennsylvania. MethodsWe analyzed over 7,000 CANS from 3,385 children who participated in Pennsylvania’s Medicaid-funded behavioral health rehabilitation services (BHRS) program during 2013–2019. A gradient boosting classifier was developed to identify children most likely to experience a total score improvement on the CANS while participating in BHRS. Separate models were constructed for children with and without autism spectrum disorder (ASD). CANS-based clinical profiles associated with improvement were also identified. Analyses were run using Python Sci-Ki version 0.20.3 and Linearly Interpretable Model-agnostic Explanations (LIME) version 0.1.1.33. ResultsThe mean age of BHRS participants was 9.85 years (standard deviation: 3.47) and the majority were white (54%) or African American (11.5%). The median length of stay was 963 days (range: 541–2,008) and 39% (N = 1,330) had a diagnosis of ASD. A total of 49.9% of children had a CANS total score improvement. Precision of the gradient boosting classifier was 70% and 79% for children with and without ASD, respectively. Fourteen profiles were associated with improvement in ASD (mean probability of improvement per profile = 0.95, range: 0.88–1.0) and 55 such profiles were identified in children without ASD (mean probability of improvement: 0.91, range: 0.86–1.0). ConclusionMachine learning can be applied to the CANS to identify children who have high probability of improvement in BHRS. These methods may have utility as an adjunct to existing decision support systems for SoC services.

Building Community Capacity to Care for Military and Veteran Families: The Star Behavioral Health Providers Program

Service members, veterans, and their families frequently have difficulties finding trained behavioral health providers who have knowledge of military culture and issues specific to the military population. This paper documents the design, implementation, effectiveness, and proximal outcomes of the Star Behavioral Health Providers training program (SBHP). We created SBHP as a dissemination effort in response to elevated levels of mental health problems among community-dwelling military and veteran families (CDMVF), limitations in provider capacity in the Departments of Defense (DoD) and Veterans Affairs (VA), and uneven preparation of civilian providers to serve military and veteran families. The goals of the initiative were to: Improve the preparation of community-based professionals to work with CDMVF. Increase providers’ use of evidence-informed information and practices. Strengthen the behavioral health infrastructure for treating CDMVF. The program provides military-specific training to community-based behavioral health providers and provides a mechanism for those seeking such services to find trained providers. Evaluation data, though limited by the lack of comparison or control groups, provided correlational evidence consistent with each program goal.

The well-being and perspectives of community-based behavioral health staff during the COVID-19 pandemic

ABSTRACT With high levels of burnout, turnover, and secondary traumatic stress, the well-being of the behavioral health workforce was an area of concern prior to the coronavirus disease 2019 (COVID-19) pandemic. How the COVID-19 crisis has impacted social workers, psychologists, psychiatrists, and other behavioral health professionals is unclear but should be examined. A brief survey evaluated the impact of the pandemic on the well-being of 168 behavioral health clinical and administrative staff serving in an urban behavioral health center in the United States. Staff experienced several personal and organizational-related challenges related to work–life balance, emotional distress, and organizational communication. Nevertheless, staff found an abundance of positive experiences when engaging with clients. Supportive, positive feedback and statements of appreciation from clients, colleagues, and supervisors helped staff to feel at their best. The well-being of behavioral health staff may be facilitated by consistent and supportive communication at the team, supervisory, and organizational levels and by involving staff in planning agency policy.

Payer–Provider Partnership to Identify Successful Retention Strategies for the Behavioral Health Workforce

High staff turnover rates are a burden for behavioral health providers because they may negatively impact staff morale, quality of care, and clinical outcomes as well as increase costs. The Staff Assessment and Retention (STAR) Project is a partnership between a behavioral health managed care organization and community-based providers designed to: 1) share information on research-based approaches, 2) identify strategies that providers find successful yet feasible, and 3) develop a learning community around research-based, community-informed strategies to increase staff retention. Participants from 87 community-based behavioral health providers completed a survey about successful strategies and barriers to staff retention, current retention and turnover rates, and ratings of commonly used strategies supported by research. Results were shared and discussed across the partnership through a learning community including a webinar co-facilitated by two participating providers. Successfully demonstrated but less utilized strategies included use of exit and stay interviews, training in best practices, availability of electronic records and other technology, and flexible work schedules. Providers reported the type of employment offered (full or part time, benefits, competitive wage; reported in 17% of responses), ability to offer trainings and staff development (13%) and using staff feedback (10%) were most important to retention. The partnership demonstrated that providers desire a vehicle for sharing ideas and problem-solving issues related to the behavioral health workforce. The endorsement by several community-based providers of lower-utilized strategies known to improve retention would not be realized across the community without the collaboration of the payer-provider partnership.