Behavioral Health Workforce Development in Washington State: Addition of a Behavioral Health Support Specialist.

The mental and behavioral health workforce shortage has hindered access to care in the United States, resulting in long waitlists for persons who need behavioral health care. Global models for task sharing, combined with U.S.-led studies of nonspecialists delivering interventions for depression and anxiety, support the development of this workforce in a stepped care system. This Open Forum highlights an innovative effort in Washington State to initiate a bachelor's-level behavioral health support specialist curriculum leading to credentialing to expand the mental health workforce and improve access to care for people with depression and anxiety.

"There's So Much That They're Enduring": Experiences of Older Adults Undergoing Major Elective Surgery.

OBJECTIVE: This qualitative study aimed to explore the psychosocial experience of older adults undergoing major elective surgery from the perspective of both the patient and family caregiver. SUMMARY BACKGROUND DATA: Older adults face unique psychological and social vulnerabilities that can increase susceptibility to poor health outcomes. How these vulnerabilities influence surgical treatment and recovery is understudied in the geriatric surgical population. METHODS: Adults aged 65 and older undergoing a high-risk major elective surgery at the University of California, San Francisco and their caregivers were recruited. Semi-structured interviews were conducted at three time points: 1-2 weeks before surgery, and at 1- and 3-months following surgery. An inductive qualitative approach was used to identify underlying themes. RESULTS: Twenty-five older adult patients (age range 65-82 years, 60% male) and 11 caregivers (age range 53-78 years, 82% female) participated. Three themes were identified. First, older surgical patients experienced significant challenges to emotional well-being both before and after surgery, which had a negative impact on recovery. Second, older adults relied on a combination of personal and social resources to navigate these challenges. Lastly, both patients and caregivers desired more resources from the healthcare system to address "the emotional piece" of surgical treatment and recovery. CONCLUSIONS: Older adults and their caregivers described multiple overlapping challenges to emotional well-being that spanned the course of the perioperative period. Our findings highlight a critical component of perioperative care with significant implications for the recovery of older surgical patients.

Protocol for a randomized controlled trial of brief behavioral activation among older adult cancer survivors.

INTRODUCTION: As many as 35% of older adult cancer survivors (OACS; i.e., ≥65 years old) have clinically significant depression. OACS often experience fatigue, mild cognitive impairment, and increased medical comorbidities post-cancer that make them susceptible to depression. Behavioral activation (BA) is an empirically supported depression treatment in geriatric psychiatry that guides individuals to reengage in pleasurable and rewarding activities and has great potential for addressing the needs of OACS. This manuscript presents the protocol for a pilot randomized controlled trial (RCT) testing the efficacy of a brief BA intervention adapted to address the needs of OACS (BBA-OACS) by telephone and videoconference delivery. MATERIALS AND METHODS: An RCT will be conducted at Memorial Sloan Kettering Cancer Center (MSK) in New York City. Participants will be randomized to either BA as a target intervention or supportive psychotherapy (SP) as a standard of care control intervention for outpatient oncology. The target intervention includes 10 weekly sessions of BA consisting of psychoeducation about depression and the rationale for BA, life areas and values assessment, compilation of a list of enjoyable and important activities across values, activity scheduling, and self-monitoring of satisfaction and mood. The standard of care control intervention includes 10 weekly sessions of SP consisting of reassurance, guidance, encouragement, and support for patients with cancer. OACS who have a history of cancer, report elevated depressive symptoms, are fluent in English, and can communicate via telephone or videoconference will be recruited from the MSK Survivorship Clinics across all disease types. Seventy participants will be recruited for the study (10 training cases, 30 in each RCT arm). The primary aim is to evaluate implementation outcomes (i.e., acceptability, feasibility, and fidelity) of BA, relative to SP, for cancer survivorship. The secondary aim is to determine the preliminary effects of BA on depressive symptoms (primary outcome), anxiety, coping, and increased activity level (secondary outcomes) compared to SP. Participants will be asked to complete a set of three surveys pre- and post-intervention. DISCUSSION: If successful, BBA-OACS would provide frontline clinicians with an accessible, evidence-based treatment for OACS. Future research will evaluate the efficacy of BA in a larger trial and its impact on depression and other healthcare outcomes. TRIAL REGISTRATION: This study is registered under ClinicalTrials.gov (ID NCT05574127).

Trajectories of Postoperative Depressive Symptoms in Older Patients Undergoing Major Surgery.

This cohort study examines the trajectories of postoperative depressive symptoms in older patients undergoing major surgery and the differences in patient characteristics between the trajectory groups.

Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data.

BACKGROUND: Low-intensity cognitive behavioral therapy (LICBT) has been implemented by the Improving Access to Psychological Therapies services across England to manage excessive worry associated with generalized anxiety disorder and support emotional well-being. However, barriers to access limit scalability. A solution has been to incorporate LICBT techniques derived from an evidence-based protocol within the Iona Mind Well-being app for Worry management (IMWW) with support provided through an algorithmically driven conversational agent. OBJECTIVE: This study aims to examine engagement with a mobile phone app to support worry management with specific attention directed toward interaction with specific LICBT techniques and examine the potential to reduce symptoms of anxiety. METHODS: Log data were examined with respect to a sample of "engaged" users who had completed at least 1 lesson related to the Worry Time and Problem Solving in-app modules that represented the "minimum dose." Paired sample 2-tailed t tests were undertaken to examine the potential for IMWW to reduce worry and anxiety, with multivariate linear regressions examining the extent to which completion of each of the techniques led to reductions in worry and anxiety. RESULTS: There was good engagement with the range of specific LICBT techniques included within IMWW. The vast majority of engaged users were able to interact with the cognitive behavioral therapy model and successfully record types of worry. When working through Problem Solving, the conversational agent was successfully used to support the user with lower levels of engagement. Several users engaged with Worry Time outside of the app. Forgetting to use the app was the most common reason for lack of engagement, with features of the app such as completion of routine outcome measures and weekly reflections having lower levels of engagement. Despite difficulties in the collection of end point data, there was a significant reduction in severity for both anxiety (t53=5.5; P<.001; 95% CI 2.4-5.2) and low mood (t53=2.3; P=.03; 95% CI 0.2-3.3). A statistically significant linear model was also fitted to the Generalized Anxiety Disorder-7 (F2,51=6.73; P<.001), while the model predicting changes in the Patient Health Questionnaire-8 did not reach significance (F2,51=2.33; P=.11). This indicates that the reduction in these measures was affected by in-app engagement with Worry Time and Problem Solving. CONCLUSIONS: Engaged users were able to successfully interact with the LICBT-specific techniques informed by an evidence-based protocol although there were lower completion rates of routine outcome measures and weekly reflections. Successful interaction with the specific techniques potentially contributes to promising data, indicating that IMWW may be effective in the management of excessive worry. A relationship between dose and improvement justifies the use of log data to inform future developments. However, attention needs to be directed toward enhancing interaction with wider features of the app given that larger improvements were associated with greater engagement.

Course of Subtypes of Late-Life Depression Identified by Bipartite Network Analysis During Psychosocial Interventions.

Importance: Approximately half of older adults with depression remain symptomatic at treatment end. Identifying discrete clinical profiles associated with treatment outcomes may guide development of personalized psychosocial interventions. Objective: To identify clinical subtypes of late-life depression and examine their depression trajectory during psychosocial interventions in older adults with depression. Design, Setting, and Participants: This prognostic study included older adults aged 60 years or older who had major depression and participated in 1 of 4 randomized clinical trials of psychosocial interventions for late-life depression. Participants were recruited from the community and outpatient services of Weill Cornell Medicine and the University of California, San Francisco, between March 2002 and April 2013. Data were analyzed from February 2019 to February 2023. Interventions: Participants received 8 to 14 sessions of (1) personalized intervention for patients with major depression and chronic obstructive pulmonary disease, (2) problem-solving therapy, (3) supportive therapy, or (4) active comparison conditions (treatment as usual or case management). Main Outcomes and Measures: The main outcome was the trajectory of depression severity, assessed using the Hamilton Depression Rating Scale (HAM-D). A data-driven, unsupervised, hierarchical clustering of HAM-D items at baseline was conducted to detect clusters of depressive symptoms. A bipartite network analysis was used to identify clinical subtypes at baseline, accounting for both between- and within-patient variability across domains of psychopathology, social support, cognitive impairment, and disability. The trajectories of depression severity in the identified subtypes were compared using mixed-effects models, and time to remission (HAM-D score ≤10) was compared using survival analysis. Results: The bipartite network analysis, which included 535 older adults with major depression (mean [SD] age, 72.7 [8.7] years; 70.7% female), identified 3 clinical subtypes: (1) individuals with severe depression and a large social network; (2) older, educated individuals experiencing strong social support and social interactions; and (3) individuals with disability. There was a significant difference in depression trajectories (F2,2976.9 = 9.4; P < .001) and remission rate (log-rank χ22 = 18.2; P < .001) across clinical subtypes. Subtype 2 had the steepest depression trajectory and highest likelihood of remission regardless of the intervention, while subtype 1 had the poorest depression trajectory. Conclusions and Relevance: In this prognostic study, bipartite network clustering identified 3 subtypes of late-life depression. Knowledge of patients' clinical characteristics may inform treatment selection. Identification of discrete subtypes of late-life depression may stimulate the development of novel, streamlined interventions targeting the clinical vulnerabilities of each subtype.

"We are the sun for our community:" Partnering with community health workers/promotores to adapt, deliver and evaluate a home-based collaborative care model to improve equity in access to quality depression care for older U.S. Latino adults who are underserved.

Background: While depression is a leading cause of poor health, less than half of older adults receive adequate care. Inequities in both access and outcomes are even more pronounced for socially disadvantaged older adults. The collaborative care model (CCM) has potential to reduce this burden through community-based organizations (CBOs) who serve these populations. However, CCM has been understudied in diverse cultural and resource-constrained contexts. We evaluated the implementation and effectiveness of PEARLS, a home-based CCM adapted with and for community health workers/promotores (CHWs/Ps). Methods: We used an instrumental case study design. Our case definition is a community-academic partnership to build CHW/P capacity for evidence-based depression care for older U.S. Latino adults in the Inland Empire region of California (2017-2020). We aimed to understand adaptations to fit local context; acceptability, feasibility, and fidelity; clinical effectiveness; and contextual determinants of implementation success or failure. Data sources included quantitative and qualitative administrative and evaluation data from participants and providers. We used descriptive statistics and paired t-tests to characterize care delivery and evaluate effectiveness post-intervention, and deductive thematic analysis to answer other aims. Findings: This case study included 152 PEARLS participants and nine data sources (N = 67 documents). The CBO including their CHWs/Ps partnered with the external implementation team made adaptations to PEARLS content, context, and implementation strategies to support CHWs/Ps and older adults. PEARLS was acceptable, feasible and delivered with fidelity. Participants showed significant reductions in depression severity at 5 months (98% clinical response rate [mean (SD), 13.7 (3.9) drop in pre/post PHQ-9; p < 0.001] and received support for 2.6 social needs on average. PEARLS delivery was facilitated by its relative advantage, adaptability, and trialability; the team's collective efficacy, buy-in, alignment with organization mission, and ongoing reflection and evaluation during implementation. Delivery was challenged by weak partnerships with clinics for participant referral, engagement, reimbursement, and sustainability post-grant funding. Discussion: This case study used existing data to learn how home-based CCM was adapted by and for CHWs/Ps to reduce health inequities in late-life depression and depression care among older Latino immigrants. The CBOs and CHWs/Ps strong trust and rapport, addressing social and health needs alongside depression care, and regular internal and external coaching and consultation, appeared to drive successful implementation and effectiveness.

A low-intensity behavioral intervention for depression in older adults delivered by lay coaches: proof-of-concept trial.

OBJECTIVES: A broader workforce is necessary to expand U.S. geriatric mental health services. We examined (1) feasibility of training undergraduate students to deliver Do More, Feel Better (DMFB), an evidence-informed program for depression; and (2) feasibility, acceptability, and outcomes in a single-arm proof-of-concept trial. METHOD: In Study 1, we taught DMFB to 18 upper-level undergraduate students and assessed fidelity using role plays. In Study 2, four students delivered six weekly DMFB sessions to 12 community-dwelling older adults (M = 66.83 years old, SD = 10.39) with depression (PHQ ≥ 10). Patient outcomes were change in pre- to post-treatment depressive symptoms, disability, and the target mechanism of increased activity. RESULTS: Fidelity was high in the course (Study 1; 82.4% of role plays rated as 'passing') and the trial (Study 2; 100% of 24 sessions rated as 'passing'). The majority (83.3%) of patients were retained and evidenced statistically and clinically significant improvement in depressive symptoms (Hamilton Rating Scale for Depression [HAM-D]), disability (World Health Organization's Disability Assessment Schedule 2.0 [WHODAS 2.0], and activity (Behavioral Activation for Depression Scale [BADS]). CONCLUSION: It is feasible to train bachelor's-level students to deliver a brief, structured intervention for depression. Future research should consider implementation strategies and stakeholder feedback.

Treatment Decision-Making Preferences of Older Depressed Minority Primary Care Patients.

Little research examined the decision-making preferences of older, racially and ethnically diverse minority patients with untreated depression. The study's aims were to identify decision-making preferences and the characteristics associated with a more active preference in the decision-making process for general medical and depression treatment decisions. We assessed the preferred involvement in making general medical and depression treatment decisions of 201 older primary care patients with untreated depression. Linear regressions examined the association of sociodemographic and clinical characteristics with decision-making preference for both decision types. Majority of patients preferred shared decision-making for general medical and depression treatments. Female gender was associated with a preference for active decision-making for depression treatment. For this sample older depressed patients preferred sharing the decision-making responsibilities with physicians. To improve communication and the initiation and adherence to mental health care, physicians must consider older, minority patients' preferences for involvement in the decision-making process.

Task Sharing to Expand Access to Care: Development of a Behavioral Health Support Specialist.

Task sharing improves access to mental health care in many countries, but little formative research has examined uptake in the United States. This Open Forum proposes the development of nonspecialist professional roles to deliver low-intensity behavioral interventions for common mental health conditions in U.S. settings such as primary care. Using data from a multilevel stakeholder assessment, the authors discuss findings and challenges associated with such a role. Key themes from stakeholder surveys concerned scope of practice, competencies, pragmatic concerns, and training needs. Although stakeholders generally found this role to be acceptable and feasible, the themes raised will be critical to developing and implementing such a role.

Message-based psychotherapy for older adults: A cohort comparison study.

Objective: Digital Mental Health Interventions (DMHI) can diminish inequities in mental health care provision. As DMHIs increase in popularity, however, older adults may be unintentionally excluded due to barriers such as lack of awareness, internet access, digital tools, technological socialization and education, physiological accessibility, and communication technology infrastructure. The aim of this study was to examine longitudinal treatment engagement patterns and 15-week clinical outcomes of depressed and anxious older adults compared to a matched cohort of younger adults seeking treatment from a large asynchronous telemedicine provider. Methods: The 2,470 older adults (55+ years) and a matched cohort of younger adults (26-35 years) diagnosed with depression or anxiety were treated by licensed therapists via messaging 5 days a week. Patterns of treatment engagement on the platform were compared across groups by examining total number of days in treatment, days actively messaging on the platform, and average words and messages per week sent by patients over the entire period they remained in treatment. Symptoms were assessed every 3 weeks using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7), and changes were compared across age groups over 15 weeks. Results: Older patients attended more days in treatment than younger patients, but there were no differences in number of days actively messaging on the platform, number of messages per week, or word count per week. The two age groups did not differ in their final anxiety or depressive symptoms when controlling for total number of weeks attended. Patients in the younger age group experienced a quicker rate of reduction than older adults in their anxiety, but not depressive symptoms. Conclusions: Among individuals willing to initiate care through a DMHI, older adults had overall similar engagement as younger adults and they showed similar improvement in symptoms of depression and anxiety. Given the advantages of message-based care for aiding a mental health workforce in serving larger numbers of individuals in need and the expected growth of the aging population, these findings could help healthcare systems in evaluating a variety of treatment options and delivery media for meeting the healthcare needs of the future.

Protocol for a collaborative randomised effectiveness trial of lay-delivered versus clinician-delivered behavioural activation in senior centres.

INTRODUCTION: Depression is common among community-dwelling older adults who make use of senior centre services yet remains undertreated due to a lack of acceptable and available treatments. Emerging evidence suggests that lay health providers can offer psychosocial interventions for mental health disorders experienced by older adults. We developed a streamlined Behavioural Activation intervention (called 'Do More, Feel Better'; DMFB) to be delivered by older adult volunteers and propose to compare its effectiveness to that of clinician-delivered behavioural activation (BA). METHODS AND ANALYSIS: This study is a type I collaborative randomised effectiveness trial testing the effect of DMFB in comparison to BA among 288 senior centre clients (aged 60+). Participant clients will be recruited from 6 Seattle, 6 New York City and 6 Tampa area senior centres serving economically and ethnically diverse communities. Primary outcomes will be increased activity level (target) and decreased depressive symptoms. Secondary outcomes will be functioning and client satisfaction, and an exploratory outcome will be treatment fidelity. ETHICS AND DISSEMINATION: The study received ethics approval from the University of Washington Institutional Review Board (STUDY00011434). Client, volunteer and clinician participants will all provide informed consent for study procedures through in-person or remote contact with investigators. Results of this study will be presented in peer-reviewed journals and at professional conferences. TRIAL REGISTRATION NUMBER: NCT04621877; ClinicalTrials.gov.

"Do More, Feel Better": Pilot RCT of Lay-Delivered Behavioral Activation for Depressed Senior Center Clients.

This pilot randomized control trial (RCT) tested "Do More, Feel Better" (DMFB), a lay-delivered Behavioral Activation intervention for depressed senior center clients. The study examined: (1) the feasibility of training older lay volunteers to fidelity; and (2) the acceptability, safety, and impact of the intervention. Twenty-one lay volunteers at four senior centers were trained in DMFB. Fifty-six depressed clients were randomized to receive 9 sessions of DMFB or Behavioral Activation delivered by social workers (MSW BA). Research assessments of overall client activity level (BADS) and depression severity (HAM-D) were conducted at baseline and Weeks 3, 6, and 9. Eighty-one percent of lay volunteers who underwent training were formally certified in DMFB. Depressed clients receiving each intervention reported high levels of satisfaction and showed large and clinically significant changes in 9-week activity level (d ≥ 1.35) and depression severity (d ≥ 3.34). Differences between treatment groups were very small for both activity level (dMSW = 0.16; 95% CI, -0.70 to 1.02) and depression (dMSW = 0.14; 95% CI, -0.63 to 0.91). Increases in activity level were associated with decreases in depression (ß = -0.42; 95% CI, -0.55 to -0.30). Both interventions appeared to work as intended by increasing activity level and reducing depression severity. "Do More, Feel Better" shows the potential of evidence-based behavioral interventions delivered by supervised lay volunteers, and can help address the insufficient workforce available to meet the mental health needs of community-dwelling older adults.

Development and Implementation of an Integrated Care Fellowship.

BACKGROUND: Integrated care is a common approach to leverage scarce psychiatric resources to deliver mental health care in primary care settings. OBJECTIVE: Describe a formal clinical fellowship devoted to professional development for the integrated care psychiatrist role. METHODS: The development of a formal year-long clinical fellowship in integrated care is described. The curriculum consists of an Integrated Care Didactic Series, Integrated Care Clinical Skill Experiences, and Integrated Care System-Based Leadership Experiences. Evaluation of impact was assessed with descriptive statistics. RESULTS: We successfully recruited 3 classes of fellows to the Integrated Care Fellowship, with 5 program graduates in the first 3 years. All 5 graduated fellows were hired into integrated care and/or telepsychiatry positions. Integrated Care fellows had a high participation rate in didactics (mean attendance = 80.6%; n = 5). We received a total of 582 didactic evaluations for the 151 didactic sessions. On a scale of 1 (poor) to 6 (fantastic), the mean quality of the interactive learning experience was rated as 5.33 (n = 581) and the mean quality of the talk was 5.35 (n = 582). Rotations were rated with the mean overall teaching quality of 4.98/5 (n = 76 evaluations from 5 fellows). CONCLUSIONS: The Integrated Care clinical fellowship serves as a model for training programs seeking to provide training in clinical and systems-based skills needed for practicing integrated care. Whether such training is undertaken as a standalone fellowship or incorporated into existing consultation-liaison psychiatry programs, such skills are increasingly valuable as integrated care becomes commonplace in practice.

Modifiable predictors of suicidal ideation during psychotherapy for late-life major depression. A machine learning approach.

This study aimed to identify subgroups of depressed older adults with distinct trajectories of suicidal ideation during brief psychotherapy and to detect modifiable predictors of membership to the trajectories of suicidal ideation. Latent growth mixed models were used to identify trajectories of the presence of suicidal ideation in participants to a randomized controlled trial comparing Problem Solving Therapy with "Engage" therapy in older adults with major depression over 9 weeks. Predictors of membership to trajectories of suicidal ideation were identified by the convergence of four machine learning models, i.e., least absolute shrinkage and selection operator logistic regression, random forest, gradient boosting machine, and classification tree. The course of suicidal ideation was best captured by two trajectories, a favorable and an unfavorable trajectory comprising 173 and 76 participants respectively. Members of the favorable trajectory had no suicidal ideation by week 8. In contrast, members of the unfavorable trajectory had a 60% probability of suicidal ideation by treatment end. Convergent findings of the four machine learning models identified hopelessness, neuroticism, and low general self-efficacy as the strongest predictors of membership to the unfavorable trajectory of suicidal ideation during psychotherapy. Assessment of suicide risk should include hopelessness, neuroticism, and general self-efficacy as they are predictors of an unfavorable course of suicidal ideation in depressed older adults receiving psychotherapy. Psychotherapeutic interventions exist for hopelessness, emotional reactivity related to neuroticism, and low self-efficacy, and if used during therapy, may improve the course of suicidal ideation.

Preventing depression in older people with multimorbidity: 24-month follow-up of a trial of internet-delivered cognitive behaviour therapy.

BACKGROUND: older people coping with the impacts of living with multimorbidity are at increased risk of developing a depressive disorder. OBJECTIVE: this article reports the 24-month results of a randomised controlled trial of an internet-delivered cognitive behaviour therapy, which aimed to test whether depressive disorders could be prevented in this population. PARTICIPANTS: community-based participants aged 65 years and over, who had two or more chronic physical health conditions and were assessed as having no current depressive disorder. METHODS: in total, 302 participants were randomised to an 8-week, five-lesson, internet-delivered intervention program (n = 150) or treatment as usual (TAU, n = 152). The primary outcomes were cases of depressive disorder, assessed post-intervention and at 3-month intervals throughout the trial, and depressive symptoms, assessed at pre-intervention, post-intervention, 6, 12 and 24 months following the intervention. RESULTS: there were significantly fewer cases of depressive disorder in the intervention group (n = 23, 15%) compared with the TAU group (n = 41, 27%) during the 24 months after the intervention (χ2(1, N = 302) = 6.13, P = 0.013, odds ratio = 0.490 [95% confidence interval: 0.277, 0.867]), representing a 44% reduction in cases of depressive disorder. No differences were found on depressive symptoms at 24-month follow-up. Internet-delivered cognitive behaviour therapy had high engagement and acceptability. CONCLUSIONS: the results provide support that depressive disorders can be prevented in older people with multimorbidity through participation in internet-delivered cognitive behaviour therapy. With access to internet-delivered interventions in clinical care settings increasing, this has implications for older patient care where multimorbidity is extremely common.

Modernizing Training in Psychotherapy Competencies With Adaptive Learning Systems: Proof of Concept.

PURPOSE: This proof-of-concept study assessed the feasibility, acceptability, and effectiveness of an intelligent tutoring system (ITS) as a classroom adjunct to improve training bachelor of social work (BSW) students in client engagement strategies. METHODS: We codeveloped the ITS with 11 undergraduate students and pilot tested it with six BSW students enrolled in a class on telephone-based cognitive behavioral therapy (tCBT). Student competencies in tCBT were assessed by expert review of role-plays. We also examined time spent using ITS and relation with competency. RESULTS: The majority of students (81.8%) in Wave 1 and all of the students who submitted role-plays in Wave 2 passed the clinical skills role-play. Students advancing through the ITS more quickly had better tCBT competency ratings than those progressing more slowly. DISCUSSION: One of the most challenging aspects of training is how to competently deliver evidence-based practices. ITS has the potential to streamline and scale such training.