Faculty Bibliography

BACKGROUND:Internalizing and externalizing problems account for over 75% of the mental health burden in children and adolescents in the US, with higher burden among minority children. While complex interactions of multilevel factors are associated with these outcomes and may enable early identification of children in higher risk, prior research has been limited by data and application of traditional analysis methods. In this case example focused on Asian American children, we address the gap by applying data-driven statistical and machine learning methods to study clusters of mental health trajectories among children, investigate optimal predictions of children at high-risk cluster, and identify key early predictors. METHODS:Data from the US Early Childhood Longitudinal Study 2010-2011 were used. Multilevel information provided by children, families, teachers, schools, and care-providers were considered as predictors. Unsupervised machine learning algorithm was applied to identify groups of internalizing and externalizing problems trajectories. For prediction of high-risk group, ensemble algorithm, Superlearner, was implemented by combining several supervised machine learning algorithms. Performance of Superlearner and candidate algorithms, including logistic regression, was assessed using discrimination and calibration metrics via crossvalidation. Variable importance measures along with partial dependence plots were utilized to rank and visualize key predictors. FINDINGS/RESULTS:We found two clusters suggesting high- and low-risk groups for both externalizing and internalizing problems trajectories. While Superlearner had overall best discrimination performance, logistic regression had comparable performance for externalizing problems but worse for internalizing problems. Predictions from logistic regression were not well calibrated compared to those from Superlearner, however they were still better than few candidate algorithms. Important predictors identified were combination of test scores, child factors, teacher rated scores, and contextual factors, which showed non-linear associations with predicted probabilities. CONCLUSIONS:We demonstrated the application of data-driven analytical approach to predict mental health outcomes among Asian American children. Findings from the cluster analysis can inform critical age for early intervention, while prediction analysis has potential to inform intervention programing prioritization decisions. However, to better understand external validity, replicability, and value of machine learning in broader mental health research, more studies applying similar analytical approach is needed.

BACKGROUND:Understanding mental health treatment preferences of adolescents and youth is particularly important for interventions to be acceptable and successful. Person-centered care mandates empowering individuals to take charge of their own health rather than being passive recipients of services. METHODS:We conducted a discrete choice experiment to quantitatively measure adolescent treatment preferences for different care characteristics and explore tradeoffs between these. A total of 153 pregnant adolescents were recruited from two primary healthcare facilities in the informal urban settlement of Nairobi. We selected eight attributes of depression treatment option models drawn from literature review and previous qualitative work. Bayesian d-efficient design was used to identify main effects. A total of ten choice tasks were solicited per respondent. We evaluated mean preferences using mixed logit models to adjust for within subject correlation and account for unobserved heterogeneity. RESULTS:Respondents showed a positive preference that caregivers be provided with information sheets, as opposed to co-participation with caregivers. With regards to treatment options, the respondents showed a positive preference for 8 sessions as compared to 4 sessions. With regards to intervention delivery agents, the respondents had a positive preference for facility nurses as compared to community health volunteers. In terms of support, the respondents showed positive preference for parenting skills as compared to peer support. Our respondents expressed negative preferences of ANC service combined with older mothers as compared to adolescent friendly services and of being offered refreshments alone. A positive preference was revealed for combined refreshments and travel allowance over travel allowance or refreshments alone. A number of these suggestions were about enhancing their experience of maternity clinical care experience. CONCLUSION/CONCLUSIONS:This study highlights unique needs of this population. Pregnant adolescents' value responsive maternity and depression care services offered by nurses. Participants shared preference for longer psychotherapy sessions and their preference was to have adolescent centered maternal mental health and child health services within primary care.

BACKGROUND:Peripartum adolescents experience significant interpersonal transitions in their lives. Depression and emotional distress are often exacerbated by adolescents' responses to these interpersonal changes. Improved understanding of pregnancy-related social changes and maladaptive responses to these shifts may inform novel approaches to addressing the mental health needs of adolescents during the perinatal period. The paper aims to understand the sources of psychological distress in peripartum adolescents and map these to Interpersonal Psychotherapy's (IPT) problem areas as a framework to understand depression. METHOD/METHODS:We conducted interviews in two Nairobi primary care clinics with peripartum adolescents ages 16-18 years (n = 23) with experiences of depression, keeping interpersonal psychotherapy framework of problem areas in mind. We explored the nature of their distress, triggers, antecedents of distress associated with an unplanned pregnancy, quality of their relationships with their partner, parents, and other family members, perceived needs, and sources of support. RESULTS:We found that the interpersonal psychotherapy (IPT) framework of interpersonal problems covering grief and loss, role transitions, interpersonal disputes, and social isolation was instrumental in conceptualizing adolescent depression, anxiety, and stress in the perinatal period. CONCLUSION/CONCLUSIONS:Our interviews deepened understanding of peripartum adolescent mental health focusing on four IPT problem areas. The interpersonal framework yields meaningful information about adolescent depression and could help in identifying strategies for addressing their distress.

BACKGROUND/UNASSIGNED:Adolescent parenthood can be associated with a range of adverse outcomes for young mothers such as depression, substance abuse, and posttraumatic stress disorder. Identification of depression and understanding risk factors among pregnant adolescents is important for development of appropriate interventions and programs focused on adolescent mental health. This paper reports on the findings of the prevalence of depression and its associated risk factors among pregnant adolescents in Nairobi, Kenya. METHODS/UNASSIGNED:We recruited 153 pregnant adolescent (14-18 years) who were accessing maternal health services in one of two Nairobi County primary health care facilities in the cross-sectional survey conducted in 2021. The Patient Health Questionnaire 9 was used to screen for depression. Multivariate Stepwise linear regression modelling was used to identify key predictors of depression. RESULTS/UNASSIGNED:Using a cut off of 10 and above on PHQ-9, we found that 43.1% of the respondents were depressed. Depressive symptoms in were independently associated with being in school, experience of intimate partner violence, substance use within the family and having experienced pressure to use substances by family or peers. LIMITATIONS/UNASSIGNED:Cross-sectional by design and the applications of our findings are limited to settings that are similar to our study population. The PHQ-9 used has not been psychometrically validated locally in this sample. CONCLUSION/UNASSIGNED:We found a high prevalence of depressive symptoms among respondents. These risk factors identified merit further investigation. Comprehensive mental health screening needs to be integrated in primary and community health services on the possible presence of depression.

AIM/OBJECTIVE:Adolescents in low-and-middle-income countries (LMICs) are facing numerous developmental, sexual and reproductive health (SRH) challenges including exposure to multidimensional violence. Gender-based violence (GBV) specifically intimate partner violence (IPV) are both highly prevalent in LMICs and are strongly linked with poor SRH outcomes. However, GBV and IPV interventions have not yet been adequately integrated in SRH due to individual, social, cultural, service, and resource barriers. To promote long-term SRH, a more holistic approach that integrates GBV and IPV, and adolescent development needs is imperative. Digital health has the potential to address multiple service setup, provision, and addressing access barriers through designing and providing integrated SRH care. However, there are no guidelines for an integrated digital SRH and development promotion for adolescents in LMICs. METHODS:An umbrella review was conducted to synthesize evidence in three inter-related areas of digital health intervention literature: (i) SRH, (ii) GBV specifically IPV as a subset, and (iii) adolescent development and health promotion. We first synthesize findings for each area of research, then further analyze the implications and opportunities to inform approaches to develop an integrated intervention that can holistically address multiple SRH needs of adolescents in LMICs. Articles published in English, between 2010 and 2020, and from PubMed were included. RESULTS:Seventeen review articles met our review inclusion criterion. Our primary finding is that application of digital health strategies for adolescent SRH promotion is highly feasible and acceptable. Although effectiveness evidence is insufficient to make strong recommendations for interventions and best practices suggestions, some user-centered design guidelines have been proposed for web-based health information and health application design for adolescent use. Additionally, several digital health strategies have also been identified that can be used to further develop integrated GBV-IPV-SRH-informed services to improve adolescent health outcomes. We generated several recommendations and strategies to guide future digital based SRH promotion research from our review. CONCLUSIONS:Rigorous research that focuses on intervention effectiveness testing using a combination of digital health strategies and standardized albeit contextualized outcome measures would be important. Methodological improvement such as adoption of longitudinal experimental design will be crucial in generating evidence-based intervention and practice guidelines for adolescents in LMICs.

BACKGROUND:Oppositional Defiant Disorders (ODDs) and other Disruptive Behavior Disorders (DBDs) are common among children and adolescents in poverty-impacted communities in sub-Saharan Africa. Without early intervention, its progression into adulthood can result in dire consequences. We examined the impact of a manualized family strengthening intervention called Amaka Amasanyufu designed to reduce ODDs and other DBDs among school-going children residing in low-resource communities in Uganda. METHODS:We used longitudinal data from the SMART Africa-Uganda study (2016-2022). Public primary schools were randomized to: (1) Control condition (receiving usual care comprising generalized psychosocial functioning literature), 10 schools; (2) intervention delivered via parent peers (Amaka-parents), 8 schools or; (3) intervention delivered via community healthcare workers (Amaka-community), 8 schools. All the participants were blinded. At baseline, 8- and 16-weeks postintervention initiation, caregivers completed the Iowa Conners Scale, which measured Oppositional Defiant Disorder (ODD) and Impairment Rating Scale to evaluate children's overall impairment and impaired functioning with peers, siblings, and parents; impaired academic progress, self-esteem, and family functioning. Three-level linear mixed-effects models were fitted to each outcome. Pairwise comparisons of postbaseline group means within each time point were performed using Sidak's adjustment for multiple comparisons. Only children positive for ODD and other DBDs were analyzed. RESULTS:Six hundred and thirty-six children screened positive for ODDs and other DBDs (Controls: n = 243; Amaka-parents: n = 194; Amaka-community: n = 199). At 8 weeks, Amaka-parents' children had significantly lower mean scores for overall impairment compared to controls, (mean difference: -0.71, p = .001), while Amaka-community children performed better on ODD (mean difference: -0.84, p = .016). At 16 weeks, children in both groups were performing better on ODD and IRS than controls, and there were no significant differences between the two intervention groups. CONCLUSIONS:The Amaka Amasanyufu intervention was efficacious in reducing ODD and impaired functioning relative to usual care. Hence, the Amaka Amasanyufu intervention delivered either by Amaka-community or Amaka-parents has the potential to reduce negative behavioral health outcomes among young people in resource-limited settings and improve family functioning. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov, ID: NCT03081195. Registered on 16 March 2017.

More than 61,000 persons below the age of 18 are living on the streets in the Greater Accra region in Ghana. Street children is a hidden vulnerable population and a global public health issue in the world, but little is known about their mental health and health needs, and mechanisms that contribute to their poor health. With a lack of mental health research to guide intervention or psychoeducation programme and policy planning, this study aimed to address these research gaps by examining prevalence of mental health problems and a set of associated risk factors (i.e. Perceived quality of life, and social connection). In addition, we examined whether the associations between risk factors and mental health problems were moderated by demographic and contextual factors (i.e., gender, age, work status, reason for living on street, number of years in street). Two hundred and seven children between age 12 and 18 who lived on the street in three cities (Accra, Sekondi Takoradi, and Kumasi) were recruited. Data were gathered through adolescent survey/interviews. Multiple regression was utilized to examine risk factors and moderation effects. Results support high mental health needs among street children. Approximately 73% street children experienced moderate to severe mental health problems, and 90% experienced poor quality of life. Perceived quality/happiness of life was the strongest predictor for street children's mental health. Social connection was associated with children's mental health only in certain subgroups and contexts. This study adds new epidemiological evidence for street children, an extremely vulnerable population, in Ghana and global child and adolescent mental health.

BACKGROUND:Children in low-and-middle-income countries (LMICs) are facing tremendous mental health challenges. Numerous evidence-based interventions (EBIs) have been adapted to LMICs and shown effectiveness in addressing the needs, but most EBIs have not been adopted widely using scalable and sustainable implementation models that leverage and strengthen existing structures. There is a need to apply implementation science methodology to study strategies to effectively scale-up EBIs and sustain the practices in LMICs. Through a cross-sector collaboration, we are carrying out a second-generation investigation of implementation and effectiveness of a school-based mental health EBI, ParentCorps Professional Development (PD), to scale-up and sustain the EBI in Uganda to promote early childhood students' mental health. Our previous studies in Uganda supported that culturally adapted PD resulted in short-term benefits for classrooms, children, and families. However, our previous implementation of PD was relied on mental health professionals (MHPs) to provide PD to teachers. Because of the shortage of MHPs in Uganda, a new scalable implementation model is needed to provide PD at scale. OBJECTIVES/OBJECTIVE:This study tests a new scalable and sustainable PD implementation model and simultaneously studies the effectiveness. This paper describes use of collaboration, task-shifting, and Train-the-Trainer strategies for scaling-up PD, and protocol for studying the effectiveness-implementation of ParentCorps-PD for teachers in urban and rural Ugandan schools. We will examine whether the new scale-up implementation approach will yield anticipated impacts and investigate the underlying effectiveness-implementation mechanisms that contribute to success. In addition, considering the effects of PD on teachers and students will influence by teacher wellness. This study also examines the added value (i.e. impact and costs) of a brief wellness intervention for teachers and students. METHODS:Using a hybrid-type II effectiveness-implementation cluster randomized controlled trial (cRCT), we will randomize 36 schools (18 urban and 18 rural) with 540 teachers and nearly 2000 families to one of three conditions: PD + Teacher-Wellness (PDT), PD alone (PD), and Control. Primary effectiveness outcomes are teachers' use of mental health promoting strategies, teacher stress management, and child mental health. The implementation fidelity/quality for the scale-up model will be monitored. Mixed methods will be employed to examine underlying mechanisms of implementation and impact as well as cost-effectiveness. DISCUSSION/CONCLUSIONS:This research will generate important knowledge regarding the value of an EBI in urban and rural communities in a LMIC, and efforts toward supporting teachers to prevent and manage early signs of children's mental health issues as a potentially cost-effective strategy to promote child population mental health in low resource settings. TRIAL REGISTRATION/BACKGROUND:This trial was registered with ClinicalTrials.gov (registration number: NCT04383327; https://clinicaltrials.gov/ct2/show/NCT04383327 ) on May13, 2020.

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.