Acceptability, feasibility and outcome of a screening programme for complicated grief in integrated primary and behavioural health care clinics.

BACKGROUND: Complicated grief, a syndrome of persistent grief diagnosed >6 months following the loss of someone close is expected to be included in the 11th revision of the International Classification of Diseases as a new diagnosis called prolonged grief disorder. Complicated grief is associated with impaired functioning and health comorbidity and does not respond to treatments for depression. Individuals may seek help in primary care where providers need to be familiar with the syndrome. OBJECTIVE: This study examines the acceptability, feasibility and outcome of a screening programme for complicated grief among diverse adults receiving behavioural health services in integrated primary care. METHODS: Behavioural health providers (n = 14) administered the Brief Grief Questionnaire and the Inventory of Complicated Grief during routine assessment and completed an acceptability survey. Descriptive statistics described rates of complicated grief symptoms and sample demographics, health and service use. RESULTS: Most providers (71%) reported the Brief Grief Questionnaire to be a moderate to very useful assessment instrument and the Inventory of Complicated Grief moderate to very useful for developing a treatment plan (57%). Of the 2425 patients screened, 1015 reported a loss over 6 months ago. Of these 1015, 28% (n = 282) screened positive on the Brief Grief Questionnaire and 22% (n = 228) endorsed symptoms of complicated grief (Inventory of Complicated Grief score ≥25), considered at high risk for needing clinical care. CONCLUSIONS: A screening programme for identifying complicated grief was acceptable to providers, feasible to implement and useful in identifying complicated grief in integrated primary care clinics.

A model of integrated health care in a poverty-impacted community in New York City: Importance of early detection and addressing potential barriers to intervention implementation.

Disruptive behavior disorders (DBDs) are chronic, impairing, and costly behavioral health conditions that are four times more prevalent among children of color living in impoverished communities as compared to the general population. This disparity is largely due to the increased exposure to stressors related to low socioeconomic status including community violence, unstable housing, under supported schools, substance abuse, and limited support systems. However, despite high rates and greater need, there is a considerably lower rate of mental health service utilization among these youth. Accordingly, the current study aims to describe a unique model of integrated health care for ethnically diverse youth living in a New York City borough. With an emphasis on addressing possible barriers to implementation, integrated models for children have the potential to prevent ongoing mental health problems through early detection and intervention.

Clinical Variables Associated with Successful Treatment of Depression or Anxiety in Collaborative Care.

Collaborative Care, an evidence-based model, has proven effective in treating depression and anxiety in healthcare settings. However, limited attention has been paid to exploring treatment outcome differences by clinical variables and diagnosis within this model. While previous research suggests that early and frequent contacts and swift treatment access lead to positive outcomes for depression and anxiety, these aspects have not been comprehensively examined in Collaborative Care. This study investigates the impact of clinical variables on treatment completion in patients primarily diagnosed with anxiety or depression who received collaborative care treatment as a treatment program. Analysis was completed as an observational study of patients (n =2018) with behavioral health diagnoses spanning from 2016 to 2023. Classification analysis offers insights into optimal practices for implementing Collaborative Care across diverse healthcare populations from pediatric to geriatric. Identifying clinical characteristics associated with successful treatment in Collaborative Care has far-reaching implications for model adoption and enhancing patient outcomes. Across all results, patients who received more clinical support and had shorter enrollment durations showed a strong association with successful treatment completion.

Factors influencing virtual collaborative care outcomes for depression and anxiety.

Context and Aims: In the United States, access to evidence-based behavioral health treatment remains limited, contributing to inadequate treatment for individuals with depression and anxiety disorders. The Collaborative care model (CoCM), the integration of behavioral healthcare into primary care, has been shown to be effective in addressing this issue, particularly when delivered virtually through telehealth platforms. While collaborative care has been shown to be effective, little has been studied to understand the impact of patient treatment factors on patient improvement. This study aims to analyze factors associated with patient improvement, measured by PHQ-9 and GAD-7 score changes, in patients with depression and anxiety disorders from Concert Health, a national behavioral medical group offering collaborative care across 18 states. Methods and Material: Stepwise logistic regression models were utilized to identify factors influencing patient improvement in standardized symptom screener scores (PHQ-9 and GAD-7). Relevant patient-level data, including demographics, clinical engagement, insurance type, clinical touchpoints, and other variables, were analyzed. Results are presented as odds ratios (ORs). Results and Conclusions: We find that increased clinical touchpoints were associated with improved outcomes in both depression (PHQ-9) and anxiety (GAD-7) populations. Commercial insurance was linked to a greater likelihood of improvement relative to Medicaid, and the use of C-SSRS suicide screeners had varied effects on patient outcomes depending on the diagnosis. The duration of time spent in appointments showed a nuanced impact, suggesting an optimal length for touchpoints. Psychiatric consults also impact patient outcomes in both populations. This study sheds light on factors influencing patient outcomes in virtual collaborative care for depression and anxiety disorders, which may be used to inform and motivate further research and allow providers to better optimize and understand the impacts of treatment choices in collaborative care settings.

The effectiveness of collaborative care delivered via telehealth in a pediatric primary care population.

Introduction: The prevalence of mental health conditions among children and adolescents in the United States has become a pressing concern, exacerbated by the COVID-19 pandemic. Collaborative care is an evidence-based model for identifying and treating depression and anxiety in healthcare settings, with additional promise for remote healthcare delivery. This study aims to evaluate the impact of a telehealth collaborative care model for adolescents with depression and anxiety in pediatric and primary care settings. Methods: Secondary analysis was conducted using de-identified national data from Concert Health, a behavioral health medical group offering remote collaborative care across 17 states. Baseline, 90-day, and 120-day assessments of the PHQ-9 and GAD-7 were collected, along with baseline covariates. Stepwise regression analysis was performed to determine the contribution of select covariates to improvement rates. Results: Among the analyzed data, 263 participants had complete PHQ-9 data, and 230 had complete GAD-7 data. In both the PHQ-9 and GAD-7 groups, over 50% of patients experienced treatment success based on success at discharge, as well as 90- and 120-day improvement rates. Predictors of success at discharge for the GAD-7 group included age at enrollment (OR 1.2258, 95% CI 1.01-1.496), clinical touchpoints (OR 1.1469, 95% CI 1.086-1.218), and lower baseline GAD-7 score (OR 0.9319, 95% CI 0.874-0.992). For the PHQ-9 group, Medicaid was significantly associated with not achieving a 50% reduction in PHQ-9 score at 120 days (OR 0.5874, 95% CI 0.349-0.979). Discussion: Collaborative care has demonstrated its effectiveness in treating adolescent populations, providing an opportunity to expand access to evidence-based behavioral health treatment for young individuals. Notably, collaborative care is already integrated into the Medicaid fee schedule for 22 states and accepted by all commercial payers. Given that individuals often turn to their trusted primary care providers for behavioral health care, offering collaborative care to adolescents can play a crucial role in addressing the ongoing mental health crisis.

The Effectiveness of Collaborative Care in Publicly Insured Populations.

The Centers for Medicare and Medicaid Services covers the cost of collaborative care for Medicare beneficiaries. However, only 24 states cover the costs of collaborative care in their Medicaid programs despite evidence indicating the cost-effectiveness of delivering behavioral health services in primary care. This study examines benchmark data from a behavioral health medical group embedded within primary care practices across the United States using a large dataset of patients treated in collaborative care. The study explores the effectiveness of collaborative care in reducing depression and anxiety symptoms by comparing Medicare, Medicaid, and privately insured populations, seeking to inform the importance of supporting advocacy for continued Medicaid fee adoption for collaborative care.

Reduction of anxiety symptoms among women within a collaborative care model and women's health settings.

AIM: The purpose of this study is to focus on changes in anxiety symptoms among women treated in women's health practices and under a collaborative care model. BACKGROUND: Research on collaborative care has largely focused on improving depressive and anxiety symptoms among adults in primary care settings. The applicability of collaborative care in other healthcare settings is underreported with limited research investigating if collaborative care has advantages in subpopulations treated in both traditional primary care settings and other healthcare settings, such as women's health practices. METHODS: This study, completed through secondary data analysis of the electronic record of N = 219 women across three women's healthcare centers, evaluated if instituting a collaborative care model is associated with reduced anxiety symptoms and which factors (eg, primary diagnosis, duration of care, and use of psychotropic medications) are associated with anxiety outcomes. Anxiety symptoms were assessed using the Generalized Anxiety Disorder 7-item scale (GAD-7) at entry into and at termination from collaborative care services. RESULTS: Overall, there was a significant reduction in average anxiety scores from baseline to termination of collaborative care (t(218) = 12.41, P < 0.001). There was a main effect for the duration of time receiving collaborative care services on anxiety score reduction (ß = -0.28, SE = 0.06, P < 0.001) with a significant reduction in anxiety symptoms at the 90-day mark (t(218) = 10.58, P < 0.001). Therefore, collaborative care can be useful in women's health practices in reducing anxiety symptoms over a 90-day time period.

Prevalence of suicide risk among a national sample of individuals referred from a primary care subpopulation, 2017-2020.

Over the past decade, the age-adjusted suicide rate has increased by 35.2% in the United States. In primary care, practitioners often interact with patients at risk of dying by suicide, yet little is known about the prevalence of suicide risk in primary care populations. Patient data from 2017-2020, consisting of a national sample of patients referred from primary care and enrolled in collaborative care behavioral health services (n = 37 666), were analyzed. Controlling for demographic characteristics, logistic models were used to compare suicide risk prevalence by behavioral health diagnosis. An estimated 9.96% (95% confidence interval [CI]: 9.65-10.27)-or approximately 3751 individuals-of the total sample screened positively for suicide risk. Compared with individuals diagnosed with generalized anxiety disorder, individuals diagnosed with bipolar disorder had 8.21 times the odds (95% CI: 6.66-10.10) of screening for suicide risk. Practitioners and health care systems may benefit from adding suicide risk screeners as a standard practice for referred patients, which may lead to further development of clinical pathways and provider training. The high rate of suicide risk across the sample suggests that more research is needed to understand suicide risk prevalence across primary care and collaborative care populations.

Clinical Pathway for Suicide Risk Screening in Adult Primary Care Settings: Special Recommendations.

Suicide is a serious public health concern. On average, 80% of suicide decedents had contact with primary care within 1 year of their suicide. This and other research underscore the importance of screening for suicide risk within primary care settings, and implementation of suicide risk screening is already underway in many practices. However, while primary care practices may be familiar with screening for other mental health concerns (e.g., depression), many feel uncomfortable or unprepared for suicide risk screening. To meet the increasing demand for evidence-based suicide-risk-screening guidance, we provide a clinical pathway for adult primary care practices (to include family medicine, internal medicine, women's health). The pathway was developed by experts with research, clinical expertise, and experience in suicide risk screening and primary care. We also provide detailed guidance to aid primary care practices in their decisions about how to implement the clinical pathway.

Commentary on substance use disorders and risk of suicide in a general US population: a case control study by Lynch et al.

In response to the findings of the Lynch et al. study on the association of suicide mortality and substance use disorder, this commentary addresses the need for increased suicide assessment and screening for patients who identify with substance use disorders in health settings such as primary care practices and emergency departments. Lynch et al. found that all categories of substance use disorders were associated with increased risk of suicide. We present the Suicide Safer Care project as one model to address this need. The Suicide Safer Care project contains a training model that provides education on basic principles of suicide prevention and skills for integration into practice. Data collected from pre- and post-training surveys of participants demonstrates the success of the training in increasing knowledge and confidence in identification and treatment of patients at risk of suicide. Utilizing training techniques such as Suicide Safer Care and combining it with the findings from Lynch et al. providers in primary care settings and emergency departments can optimize the number of patients they identify with suicide risk, impacting the number of patients who receive treatment and the number of potential lives saved.

Integrating Safety Plans for Suicidal Patients Into Patient Portals: Challenges and Opportunities.

Safety planning is an emerging evidence-based practice that is effective at decreasing suicidal behaviors. As electronic medical records and patient portals become more prevalent, patients and clinicians have recognized the value of using this technology in the safety planning process. This column describes the experience of one federally qualified health center, the Institute for Family Health, in integrating safety plans into the patient portal. The authors argue that incorporating safety plans into patient portals may unlock a new to way to expand safety planning efforts in health settings-a way that may ultimately save lives.

Electronic Health Records: Optimizing Communication to Support the Nonverbal Medical Patient With Developmental Disabilities.

BACKGROUND: A comprehensive look at health status in developmentally disabled populations shows poorer physical, oral, and vision health, and higher rates of heart disease and obesity. Generally, individuals with developmental disabilities have difficulty locating able providers, and face significant barriers in accessing health services. The health care system's failure to achieve effective collaboration between medical, mental health, and residential providers too often results in substandard care and poor outcomes for these populations. METHODS: A creative partnership between two organizations in rural upstate New York, Ulster Green ARC and the Institute for Family Health, has made substantial inroads toward addressing this problem. The organizations have transformed a relationship borne of a financially failing health care model into a successful, comprehensive care network for a severely developmentally disabled population-based in a Federally Qualified Health Center. CONCLUSIONS: The success of this effort is largely owing to an innovative use of health information technology to share information.

Primary care professional's perspectives on treatment decision making for depression with African Americans and Latinos in primary care practice.

Increasing interest has been shown in shared decision making (SDM) to improve mental health care communication between underserved immigrant minorities and their providers. Nonetheless, very little is known about this process. The following is a qualitative study of fifteen primary care providers at two Federally Qualified Health Centers in New York and their experience during depression treatment decision making. Respondents described a process characterized in between shared and paternalistic models of treatment decision making. Barriers to SDM included discordant models of illness, stigma, varying role expectations and decision readiness. Respondents reported strategies used to overcome barriers including understanding illness perceptions and the role of the community in the treatment process, dispelling stigma using cultural terms, orienting patients to treatment and remaining available regarding the treatment decision. Findings from this study have implications for planning SDM interventions to guide primary care providers through treatment engagement for depression.