Federally Qualified Health Centers are charged with providing comprehensive health care in traditionally underserved areas, underscoring their importance in caring for and promoting health equity for the large portion of historically marginalized communities in this setting. There is a significant need to ensure Federally Qualified Health Centers are equipped to appropriately address the immense behavioral health needs common among patients served. Care coordination is an evidence-based model that is increasingly utilized in Federally Qualified Health Centers to improve care equity and outcomes. Addressing and supporting behavioral health needs is a key aspect of such care coordination models. Context-specific considerations and programmatic supports, particularly those that address the needs of care coordinators and the complex patients they serve, are needed to ensure such models can appropriately meet and address the behavioral health concerns of the diverse populations served. The goal of this study was to present a mixed-methods case study that systematically applies implementation frameworks to conduct a needs and context assessment to inform the development and testing of evidence-based practice strategies and implementation support as part of a care coordination program within a partnered Federally Qualified Health Center.

BACKGROUND: Trauma-focused cognitive behavioral therapy (TF-CBT) strategies are common interventions to treat child trauma and a posttraumatic stress disorder (PTSD) diagnosis in children with histories of sexual and physical abuse. With the advent of COVID-19, the disruption of child development combined with intense exposure to technology and screen time indicate a need for delivering other novel approaches to treat pediatric PTSD. Virtual reality (VR) has been used with evidence-based TF-CBT as an intervention in lab-based settings, but never as telehealth. Such technologies, including a VR head-mounted device (HMD) programmed with novel TheraVR software, for psychotherapy and treating trauma-related symptoms could redefine how pediatric populations respond to treatment.
OBJECTIVE: The aim of this exploratory single-case study was to reflect symptom improvement and patient engagement using VR as telehealth.
METHODS: The patient was a 10-year-old girl of Middle Eastern descent diagnosed with trauma and comorbid medical conditions. The patient was in divorced joint parental custody and a Child Protective Services report was made with referral for therapy. Night terrors, hallucinations, depression, anxiety, isolation, and encopresis symptoms were assessed at the beginning of treatment. Clinical analysis met the criteria for a diagnosis of early onset PTSD, which was treated over the course of 7 months using TF-CBT. A cross-analysis design was used to compare improved effectiveness in treatment and patient outcomes when moving from delivery of care with telehealth using desktop and tablet synchronous technology to 2D VR desktop telehealth with TheraVR software and subsequently HMD VR telehealth with TheraVR software. Sessions were conducted in private practice providing psychotherapy for remote patient care, collateral care with the family, and coordination of clinical care with the patient\'s pediatrician. Safety and protocols for reducing triggers were clinically monitored by the provider.
RESULTS: Over the course of treatment, and moving from standard telehealth to 2D VR to TheraVR with a standalone HMD, there was a significant reduction in PTSD symptoms. The transfer from using the standard video conferencing with face-to-face video to using customizable avatar technology with an assigned scene environment presented an increase in patient retention and follow-through with the treatment goals. The continuous use of delivery of care using VR with the TheraVR software demonstrated breakthrough clinical observations where the patient devised her own interventions for coping with mood, emotional regulation, and negative cognitive processes using the 10 different VR environments.
CONCLUSIONS: This study shows the potential efficacy in using VR specifically for younger populations as a better modality of pediatrics care, while improving engagement with the provider through telehealth. These findings suggest the value of further research through larger clinical trials including pediatric patients diagnosed with severe trauma or trauma-related symptoms to assess the effectiveness of TheraVR software.

Background: Telemedicine in psychiatry (telepsychiatry) is an emerging and rapidly developing tool which is used in many areas of psychiatry. While telepsychiatry has been shown to be efficacious and improves access to psychiatric care, it can also help to mitigate the risk of bodily injury caused by patient assault. The telepsychiatry equipment, however, may be vulnerable to damage from patient assault. Patient Case: We present the case of a 24 year old man being treated for disorganized behaviors and delusional thoughts at a regional hospital. As the regional hospital did not have access to psychiatry, telepsychiatry consultation was used. This patient behaved with violence towards the telepsychiatry equipment. Discussion: There currently is no literature establishing best practices to minimize the risk of violence towards equipment during telepsychiatry encounters. Using this case report, we aim to illustrate the risk of violence in telepsychiatry encounters and to discuss best practices to minimize this risk.

Nurses in the emergency department often encounter patients exhibiting signs of aggressive behavior. Nurses need to know the pharmacologic treatment appropriate for the patient scenario to ensure safety for the patient and the emergency department team. This case review examines 4 common scenarios where a patient exhibits aggressive behavior. After each case review is a discussion about the appropriate pharmacologic therapy for that patient. The cases portrayed are fictional but based on experience and previous observations.

Behavioral health (BH) concerns are prevalent among residents (eg, depression, anxiety, and insomnia), family care partners (eg, depression and burden), and staff (eg, burnout and depression) in nursing home-based post-acute and subacute care, referred to as skilled nursing facility (SNF) care. When untreated, BH concerns can lead to negative care outcomes, including limited functional improvements, longer lengths of stay, and elevated risk of rehospitalization and mortality. Despite the high clinical need, the field lacks evidence and consensus regarding an optimal model of BH services and roles for BH clinicians in SNFs. Developing such a model can inform the testing of BH interventions that best align with clinical operations, moving the field toward answering questions regarding the effectiveness and implementation of BH services in SNFs. Evidence-based BH models from the primary care literature include coordinated, colocated, and integrated care, each of which present potential benefits and challenges for the SNF setting. In this special article, we argue that an integrated model of BH services in SNFs may (1) increase access to and engagement with BH; (2) strengthen positive biopsychosocial resident outcomes and quality of care; and (3) prevent or improve BH concerns among stakeholders involved in resident care, including family care partners and staff. From our evidence-based discussion, we propose a Stepped-Care Model of Integrated BH for SNFs that can help clarify the scope of practice and clinical roles for licensed BH clinicians in this setting (eg, psychologists, clinical social workers, master\'s-level counselors). We conclude with a discussion of policy and research implications with a focus on potential policy changes that may be necessary for BH integration in SNFs. Future research to establish feasibility, clinical benefit (eg, efficacy, effectiveness), and financial justification for our proposed model is needed. This article can serve as a guide for such future research endeavors.

Permanent Supportive Housing (PSH), which provides subsidies for independent housing and supportive services, is an evidence-based practice that improves health and housing for homeless experienced persons. Though most PSH is scattered-site, that is, housing dispersed throughout the mainstream rental market, project-based PSH offers housing and supportive services in dedicated facilities with on-site services. In 2013, the Veterans Health Administration (VA) at Greater Los Angeles opened a novel project-based PSH program located on a VA campus. To inform plans to expand project-based PSH at this VA, we examined participants\' experiences in this program. We aimed to identify participant characteristics that suggested they were well suited for the planned PSH expansion; to characterize services that participants found valuable in this setting; and to highlight gaps between participants\' needs and PSH services provided.
We performed semi-structured interviews with a convenience sample (n = 24) of participants who had engaged in this project-based PSH program. Interviews asked why participants selected housing on a VA campus and explored valued program characteristics, designs, and services. Using rapid analysis methods, we generated templated summaries of each participant\'s responses across the domains of our interview guide, then used matrix analyses to identify salient themes across the interviews.
Participants appreciated the ease of access to medical and mental health services; however, as services were assumed to be optimized by virtue of co-location with VA healthcare, their PSH providers often did not link them with non-VA social services as assertively as desired. Many participants raised concerns about building safety and on-site substance use. A lack of participant engagement in program oversight, often leading to conflicts with staff and building management, was also highlighted in our interviews.
Given the value placed on ease of access to healthcare, these data suggest the value of this PSH model for persons with healthcare vulnerabilities. Specific recommendations for the planned PSH expansion include: (1) continuation of proximate, open-access healthcare; (2) clear tenant policies; (3) tenant councils for each development; (4) staff knowledgeable of non-VA resources and social services; (5) Veteran-preferred hiring practices by Property/Service management; (6) gender-specific accommodations; and (7) robust 24/7 security on-site.

Despite growing research and policy attention, perinatal behavioral health conditions (i.e., mental health and substance use disorders) remain prevalent, burdensome for families, and largely untreated in the US. Researchers have documented an array of barriers to accurate detection, linkage with effective treatment, and improved outcomes for perinatal women with behavioral health disorders. It is clear that a multi-component approach that integrates evidence-based detection and management of perinatal behavioral health in the context of obstetrics care can be effective. This paper presents the initial development of a clinical quality improvement program that includes evidence-based components of behavioral health integration in obstetrics in the state of Florida in the US. The FL BH Impact (Improving Maternal and Pediatric Access, Care and Treatment for Behavioral Health) program, guided by the RE-AIM model for program implementation, has been developed over the past 2 years. Program components, initial implementation, and preliminary findings are presented. Following the implementation phase, the program has enrolled 12 obstetrics practices and 122 obstetrics providers in program engagement and training activities. The primary program component allows for obstetrics clinician telephone access to a statewide listing of behavioral health referral resources for patients and access to consultation with psychiatry. Since program implementation, the program has received a total of 122 calls to this line, with an expected increasing trajectory of calls over time. Results suggest this program is feasible to implement across a large geographic area. Challenges to implementation and future directions are discussed. These types of multi-component approaches to improved management and outcomes for perinatal behavioral health are promising and must be expanded and sustained in the US.

Technology can improve implementation strategies\' efficiency, simplifying progress tracking and removing distance-related barriers. However, incorporating technology is meaningful only if the resulting strategy is usable and useful. Hence, we must systematically assess technological strategies\' usability and usefulness before employing them. Our objective was therefore to adapt the effort-vs-impact assessment (commonly used in systems science and operations planning) to decision-making for technological implementation strategies. The approach includes three components - assessing the effort needed to make a technological implementation strategy usable, assessing its impact (i.e., usefulness regarding performance/efficiency/quality), and deciding whether/how to use it. The approach generates a two-by-two effort-vs-impact chart that categorizes the strategy by effort (little/much) and impact (small/large), which serves as a guide for deciding whether/how to use the strategy. We provide a case study of applying this approach to design a package of technological strategies for implementing a 5 A\'s tobacco cessation intervention at a Federally Qualified Health Center. The effort-vs-impact chart guides stakeholder-involved decision-making around considered technologies. Specification of less technological alternatives helps tailor each technological strategy within the package (minimizing the effort needed to make the strategy usable while maximizing its usefulness), aligning to organizational priorities and clinical tasks. Our three-component approach enables methodical and documentable assessments of whether/how to use a technological implementation strategy, building on stakeholder-involved perceptions of its usability and usefulness. As technology advances, results of effort-vs-impact assessments will likely also change. Thus, even for a single technological implementation strategy, the three-component approach can be repeatedly applied to guide implementation in dynamic contexts.

Regular assessment of the effectiveness of behavioral interventions is a potent tool for improving their relevance to patients. However, poor provider and patient adherence characterize most measurement-based care tools. Therefore, a new approach for measuring intervention effects and communicating them to providers in a seamless manner is warranted. This paper provides a brief overview of the available research evidence on novel ways to measure the effects of behavioral treatments, integrating both objective and subjective data. We highlight the importance of analyzing therapeutic conversations through natural language processing. We then suggest a conceptual framework for capitalizing on data captured through directly collected and nondisruptive methodologies to describe the client\'s characteristics and needs and inform clinical decision-making. We then apply this context in exploring a new tool to integrate the content of therapeutic conversations and patients\' self-reports. We present a case study of how both subjective and objective measures of treatment effects were implemented in cognitive-behavioral treatment for depression and anxiety and then utilized in treatment planning, delivery, and termination. In this tool, called Eleos, the patient completes standardized measures of depression and anxiety. The content of the treatment sessions was evaluated using nondisruptive, independent measures of conversation content, fidelity to the treatment model, and the back-and-forth of client-therapist dialogue. Innovative applications of advances in digital health are needed to disseminate empirically supported interventions and measure them in a noncumbersome way. Eleos appears to be a feasible, sustainable, and effective way to assess behavioral health care.

Although electronic health record systems have been implemented in many health settings globally, how organizations can best implement these systems to improve medication safety in mental health contexts is not well documented in the literature. The purpose of this case report is to describe how a mental health hospital in Toronto, Canada, leveraged the process of obtaining Healthcare Information Management Systems Society (HIMSS) Stage 7 on the Electronic Medical Record Adoption Model to improve clinical care specific to medication safety in its inpatient settings. Examples of how the organization met several of these HIMSS criteria are described as they relate to utilizing data from the system to support clinician practice and/or decision-making for medication safety.