Faculty Bibliography

Reining in Anxiety (RiA) is a therapeutic program for youth with mild to moderate anxiety delivered in a therapeutic riding setting by Certified Therapeutic Riding Instructors. RiA was developed after a review of the evidence base for youth anxiety, is manualized, and includes five core CBT components: in vivo exposure, cognitive restructuring, youth psychoeducation, relaxation, and caregiver psychoeducation about anxiety. This study extended findings from a prior RCT that examined (1) the feasibility of collecting saliva samples from horses and children to measure stress (cortisol) and relaxation (oxytocin); (2) whether changes in stress and relaxation occurred both during each lesson and over the course of the 10-week intervention for horses and youth; (3) whether changes in anxiety symptoms, emotional regulation, and self-efficacy found in the first trial were comparable; and (4) if fidelity to the program was reliable. Youth participants (n = 39) ages 6"“17 with caregiver-identified mild-to-moderate anxiety participated in a ten-week therapeutic intervention (RiA), which combined adaptive riding and components of CBT. Physiological data and self-report measures were taken at weeks one, four, seven, and ten for the youth and horses. Saliva assays assessed cortisol as a physiological marker of stress and anxiety, and oxytocin as a measure of relaxation. Fidelity data were recorded per session. Anxiety, as measured by caregiver self-reporting, significantly decreased from pre- to post-test, while emotional regulation scores increased. No significant changes in self-efficacy from pre- to post-test were observed. Saliva samples obtained from participants before and after riding sessions showed a consistent decrease in cortisol and a significant increase in oxytocin at two of the four timepoints (Week 1 and Week 7), but no overall pre- to post-test changes. Horse saliva data were collected using a modified bit; there were no significant changes in oxytocin or cortisol, suggesting that the horses did not have an increase in stress from the intervention. RiA may be a promising approach for reducing anxiety and stress among youth, as measured both by self-reported and by physiological measures. Collection of salivary assays for both youth and horses is feasible, and the intervention does not increase stress in the horses. Importantly, RiA can be delivered by adaptive/therapeutic horseback riding instructors in naturalistic (e.g., non-clinic-based) settings. As youth anxiety is a growing public health problem, novel interventions, such as RiA, that can be delivered naturalistically may have the potential to reach more youth and thus improve their quality of life. Further research is needed to examine the comparative value of RiA with other animal-assisted interventions and to assess its cost-effectiveness.

Introduction: This exploratory study sought to examine the extent to which family-level factors are associated with disruptive behavioral disorder (DBD) symptoms, including oppositional defiant disorder (ODD) and conduct disorder (CD) among school children in Uganda, a low-resource country in SSA. The examination of key influences within the SSA context is important to guide needed investments in mental health care and family-level support. Importantly, identifying families at higher risk can inform the development of contextualized family interventions that reinforce positive parenting practices. Method: We analyzed baseline data (N = 2110) from the NIH-funded Strengthening Mental health And Research Training in Africa (SMART Africa) scale-up study in Southwestern Uganda. Children aged 8-13 and their caregivers were recruited from 30 public primary schools. DBDs were examined using the DBD rating scale, Iowa Conners, and Impairment scales. Logistic regression analysis using cluster adjusted robust standard errors to adjust for within-school clustering was conducted to assess the association between DBD symptoms and family-level factors, including parenting practices, marital status, and family size. Results: Results indicate that poor parental supervision (OR = 1.17; CI: 1.13, 1.21; P < .001), divorced families (OR = 1.33; CI: 1.03, 1.72; P < .05), and widowed families (OR = 1.48; CI: 1.10, 2.00; P < .01) were associated with higher DBD symptoms among children. On the other hand, caregiver age (OR = 0.99; CI: 0.98, 0.99; P < .01) was associated with lower DBD symptoms among children. Moreover, caregiver employment and parental education were not statistically significant in the model. Conclusion: Findings from the study reveal an association between family-level factors and behavioral difficulties among children in Uganda suggesting that divorced and widowedfamilies may benefit from additional support in caring for children. Moreover, caregivers may also benefit from programs that provide tools for effective parental supervision. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

To identify the state-level policies and policy domains that state policymakers and advocates perceive as most important for positively impacting the use of children's mental health services (CMHS). We used a modified Delphi technique (i.e., two rounds of questionnaires and an interview) during Spring 2021 to elicit perceptions among state mental health agency officials and advocates (n = 28) from twelve states on state policies that impact the use of CMHS. Participants rated a list of pre-specified policies on a 7-point Likert scale (1 = not important, 7 = extremely important) in the following policy domains: insurance coverage and limits, mental health services, school and social. Participants added nine policies to the initial list of 24 policies. The "school" policy domain was perceived as the most important, while the "social" policy domain was perceived as the least important after the first questionnaire and the second most important policy domain after the second questionnaire. The individual policies perceived as most important were school-based mental health services, state mental health parity, and Medicaid reimbursement rates. Key stakeholders in CMHS should leverage this group of policies to understand the current policy landscape in their state and to identify gaps in policy domains and potential policy opportunities to create a more comprehensive system to address children's mental health from a holistic, evidence-based policymaking perspective.

LAY ABSTRACT/UNASSIGNED:Autistic children and adolescents experience high rates of co-occurring mental health conditions, including depression and suicidality, which are frequently identified by stakeholders as treatment priorities. Unfortunately, accessing community-based mental health care is often difficult for autistic youth and their families. The first obstacle families confront is finding a provider that offers mental health treatment to autistic youth within the many service systems involved in supporting the autism community. The mental health and developmental disability systems are two of the most commonly accessed, and previous work has shown there is often confusion over which of these systems is responsible for providing mental health care to autistic individuals. In this study, we conducted a telephone survey to determine the availability of outpatient mental health services for autistic youth with depressive symptoms or suicidal thoughts or behaviors in New York City across the state's mental health and developmental disability systems. Results showed that while a greater percentage of clinics in the mental health system compared with in the developmental disability system offered outpatient mental health services to autistic youth (47.1% vs 25.0%), many more did not offer care to autistic youth and there were very few options overall. Therefore, it is important that changes to policy are made to increase the availability of services and that mental health care providers' knowledge and confidence in working with autistic youth are improved.

BACKGROUND:Perinatal depression (PND) is a prevalent ailment that affects both the woman and her family. Addressing PND in primary health care, such as pediatrics and obstetric care settings, has been proposed as an effective way to identify and treat women. OBJECTIVE:The purpose of this study is to examine best practices for management of PND in obstetric and pediatric settings, as well as investigate the evidence that supports the guidelines. METHODS:Guidelines were identified through a literature search and discussion with experts in the field of perinatal depression, while evidence was examined through a literature search of reviews and thereafter experimental studies. RESULTS:Twenty-five guidelines, across 17 organizations were retained for analysis. Findings suggest that there is little or varied guidance on the management of PND, as well as a lack of specificity. Treatment was the topic most frequently reported, followed by screening. However best practices vary greatly and often contradict one another. Across all areas, there is inadequate or contrasting evidence to support these guidelines. CONCLUSIONS:Although there was consensus on the key steps in the pathway to care, the review revealed lack of consensus across guidelines on specific issues relating to identification and management of depression during the perinatal period. Clinicians may use these recommendations to guide their practice, but they should be aware of the limitations of the evidence supporting these guidelines and remain alert to new evidence. There is a clear need for researchers and policymakers to prioritize this area in order to develop evidence-based guidelines for managing perinatal depression.

Background/UNASSIGNED:while focusing on its contextualization for the Kenyan school-community mental health settings. Methods to document the progress and impacts are also described. Methods/UNASSIGNED:The design of the system and research strengthening activities is guided by a SMART-Africa Capacity Building framework. Two areas of capacity are focused. Mental health system capacity focuses on building political wills, leadership, transdisciplinary partnership, and stakeholders' global competency in evidence child mental health policy, intervention, and service implementation research. Implementation research capacity building focuses on building researchers' implementation research competency by carrying out an EBI implementation research (using a Hybrid Type II effectiveness-implementation). For illustration purpose, we describe how the system strengthening strategies has been applied in Kenya, and how the mixed methods design applied to assess the value and impacts of the capacity building activities. Feedback data and evaluation data collection using qualitative and quantitative methods for both areas of capacity building are still ongoing. Data will be analyzed and compared across countries in 2020-2021. Conclusion/UNASSIGNED:Our work has shown some feasibility of applying the theory-guided system strengthening model in improving child mental health service system and research capacity in one of the three SMART-Africa partnering countries. Our mental health landscape and resource mapping in Kenya also illustrated that capacity building in SSA countries involved complex dynamic, history, and some overlap efforts with multiple partnerships, and these are critical to consider in training activity and evaluation design.

This paper describes the implementation of Behavioral Activation (BA) as the core psychotherapy treatment within a broader clinician-led effort to establish a care pathway for adolescent depression in an academic medical center that served public and private hospital systems. This quality improvement effort required a standardized yet flexible approach to psychotherapy to be used by clinicians with a range of experience and training backgrounds while serving diverse clinical populations in child psychiatry and pediatric clinics. This paper highlights implementation of BA in treating adolescent depression across these varying systems. In particular, the paper emphasizes the application of BA as a principle-driven, treatment that enables flexibility across settings while remaining rooted in scientific evidence. The paper also reviews lessons learned from this effort that may support efforts to implement BA in other clinical settings and systems.

OBJECTIVE:To determine whether the self-report frequency of inter-agency collaboration about children's mental health issues is associated with the self-report frequency of using research evidence in children's mental health policy and program decision making in mental health agencies (MHAs). DATA SOURCES/METHODS:Primary data were collected through web-based surveys of state (N = 221) and county (N = 117) MHA officials. DESIGN/METHODS:The primary independent variable was a composite score quantifying the frequency of collaboration about children's mental health issues between officials in MHAs and six other state agencies. The dependent variables were composite scores quantifying the frequency of research use in children's mental health policy and program decision making in general and for specific purposes (i.e., conceptual, instrumental, tactical, imposed). Covariates were composite scores quantifying well-established determinants of research use (e.g., agency leadership, research use skills) in agency policy and program decision making. DATA METHODS/UNASSIGNED:Separate multiple linear regression models estimated associations between frequency of inter-agency collaboration and research use scores, adjusting for other determinants of research use, respondent state, and other covariates. Data from state and county officials were analyzed separately. PRINCIPAL FINDINGS/RESULTS:The frequency of inter-agency collaboration was positively and independently associated with the frequency of research use in children's mental health policy making among state (β = 0.22, p = 0.004) and county (β = 0.39, p < 0.0001) MHA officials. Inter-agency collaboration was also the only variable significantly associated with the frequency of research use for all four specific purposes among state MHA officials, and similar findings we observed among county MHA officials. The magnitudes of associations between inter-agency collaboration and frequency of research use were generally stronger than for more well-established determinants of research use in policy making. CONCLUSIONS:Strategies that promote collaboration between MHA officials and external agencies could increase the use of research evidence in children's mental health policy and program decision making in MHAs.

OBJECTIVE:To model children's mental health policy making dynamics and simulate the impacts of knowledge broker interventions. DATA SOURCES/METHODS:Primary data from surveys (n = 221) and interviews (n = 64) conducted in 2019-2021 with mental health agency (MHA) officials in state agencies. STUDY DESIGN/METHODS:A prototype agent-based model (ABM) was developed using the PARTE (Properties, Actions, Rules, Time, Environment) framework and informed through primary data collection. In each simulation, a policy is randomly generated (salience weights: cost, contextual alignment, and strength of evidence) and discussed among agents. Agents are MHA officials and heterogenous in their properties (policy making power and network influence) and policy preferences (based on salience weights). Knowledge broker interventions add agents to the MHA social network who primarily focus on the policy's research evidence. DATA COLLECTION/EXTRACTION METHODS/METHODS:A sequential explanatory mixed method approach was used. Descriptive and regression analyses were used for the survey data and directed content analysis was used to code interview data. Triangulated results informed ABM development. In the ABM, policy makers with various degrees of decision influence interact in a scale-free network before and after knowledge broker interventions. Over time, each decides to support or oppose a policy proposal based on policy salience weights and their own properties and interactions. The main outcome is an agency-level decision based on policy maker support. Each intervention and baseline simulation runs 250 times across 50 timesteps. PRINCIPAL FINDINGS/RESULTS:Surveys and interviews revealed that barriers to research use could be addressed by knowledge brokers. Simulations indicated that policy decision outcomes varied by policy making context within agencies. CONCLUSIONS:This is the first application of ABM to evidence-informed mental health policy making focusing. Results suggest that the presence of knowledge brokers can: (1) influence consensus formation in MHAs, (2) accelerate policy decisions, and (3) increase the likelihood of evidence-informed policy adoption.

Reliable cost estimates are key to assessing the feasibility, affordability, and cost-effectiveness of interventions. We estimated the economic costs of a multiple family group (MFG) intervention-child and adolescent mental health evidence-based practices (CAMH-EBP) implemented under the SMART-Africa study, seeking to improve family functioning and reduce child and adolescent behavior problems-delivered through task-shifting by community health workers (CHWs) or parent peers (PPs) in school settings in Uganda. This prospective microcosting analysis was conducted from a provider perspective as part of a three-armed randomized controlled trial of the MFG intervention involving 2,391 participants aged 8-13 years and their caregivers in 26 primary schools. Activity-specific costs were estimated and summed, and divided by actual participant numbers in each study arm to conservatively calculate total per-child costs by arm. Total per-child costs of the MFG-PP and MFG-CHW arms were estimated at US$346 and US$328, respectively. The higher per-child cost of the MFG-PP arm was driven by lower than anticipated attendance by participants recruited to this arm. Personnel costs were the key cost driver, accounting for approximately 70% of total costs because of intensive supervision and support provided to MFG facilitators and intervention quality assurance efforts. This is the first study estimating the economic costs of an evidence-based MFG intervention provided through task-shifting strategies in a low-resource setting. Compared with the costs of other family-based interventions ranging between US$500 and US$900 in similar settings, the MFG intervention had a lower per-participant cost; however, few comparisons are available in the literature. More costing studies on CAMH-EBPs in low-resource settings are needed.