Diffusion and spillover effects of an evidence-based mental health intervention among peers and caregivers of high risk youth in Sierra Leone: study protocol

Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs

Evaluating causal effects in the presence of interference is challenging in network-based studies of hard-to-reach populations. Like many such populations, people who inject drugs (PWID) are embedded in social networks and often exert influence on others in their network. In our setting, the study design is observational with a non-randomized network-based HIV prevention intervention. Information is available on each participant and their connections that confer possible HIV risk through injection and sexual behaviors. We considered two inverse probability weighted (IPW) estimators to quantify the population-level spillover effects of non-randomized interventions on subsequent health outcomes. We demonstrated that these two IPW estimators are consistent, asymptotically normal, and derived a closed-form estimator for the asymptotic variance, while allowing for overlapping interference sets (groups of individuals in which the interference is assumed possible). A simulation study was conducted to evaluate the finite-sample performance of the estimators. We analyzed data from the Transmission Reduction Intervention Project, which ascertained a network of PWID and their contacts in Athens, Greece, from 2013 to 2015. We evaluated the effects of community alerts on subsequent HIV risk behavior in this observed network, where the connections or links between participants were defined by using substances or having unprotected sex together. In the study, community alerts were distributed to inform people of recent HIV infections among individuals in close proximity in the observed network. The estimates of the risk differences for spillover using either IPW estimator demonstrated a protective effect. The results suggest that HIV risk behavior could be mitigated by exposure to a community alert when an increased risk of HIV is detected in the network.

Exploring potential mental health spillover effects among caregivers and partners of youth in Sierra Leone: A qualitative study

Given the large mental health treatment gap in low- and middle-income countries (LMICs), particularly in post-conflict settings like Sierra Leone, and the limited healthcare infrastructure, understanding the wider benefits of evidence-based mental health interventions within households is critical. This study explored potential mental health spillover effects - the phenomenon of beneficial effects among nonparticipants - among cohabitating caregivers and partners of youth who participated in an evidence-based mental health intervention in Sierra Leone. We recruited a sub-sample of cohabitating caregivers and partners (N = 20) of youth intervention participants; caregivers had enrolled in a larger study investigating indirect benefits of the evidence-based intervention in Sierra Leone (MH117359). Qualitative interviews were conducted at two time points to explore the following: (a) potential mental health spillover effects and (b) through which mechanisms spillover may have occurred. Two trained coders reviewed transcripts and analyzed qualitative data, assisted by MaxQDA. Qualitative findings suggested that spillover effects likely occurred and supported three potential mechanisms: decreased caregiving burden, behavior changes among Youth Readiness Intervention participants and improved interpersonal relationships. Mental health spillover effects may occur following youth intervention participation in a post-conflict LMIC. Investing in evidence-based services may offer indirect benefits that extend beyond those directly receiving services.

Patterns of distress and psychosocial support 2 years post-displacement following a natural disaster in a lower middle income country

Background

Displacement due to natural disaster exposure is a major source of distress, and disproportionately affects people in low- and middle-income countries (LMICs). Public mental health resources following natural disasters and displacement are often limited in LMICs. In 2017, the population of one island in Vanuatu, a lower-middle income country, was displaced due to volcanic activity. Following the launch of a public mental health policy in 2009, psychosocial support interventions are increasingly available, providing an opportunity to assess relationships with distress following displacement.

Methods

440 people contributed data. We assessed distress using a local adaptation of the Impact of Event Scale-Revised, and types of psychosocial support available and received, including from health professionals, support groups, and traditional networks such as chiefs, traditional healers, and church leaders. We analyzed relationships between distress and psychosocial support, controlling for sociodemographic covariates.

Results

Professional and group support was reported available by 86.8-95.1% of participants. Traditional support networks were widely used, especially by men. Availability of professional support predicted lower distress among men (p < 0.001) and women (p = 0.015) ( η p 2 = 0.026-0.083). Consulting church leaders for psychosocial support was associated with higher distress among men (p = 0.026) and women (p = 0.023) ( η p 2 = 0.024-0.031). Use of professional and group support was lower than reported availability.

Discussion

Increased collaboration between professional and traditional support networks could help respond to mental health needs following natural disasters in LMICs with limited infrastructure. Providing training and resources to church leaders might be a specific target for improvement. Promoting use of available services represents a continued public health need.

Expect the Unexpected: A Qualitative Study of the Ripple Effects of Children's Mental Health Services Implementation Efforts

Background

Strategies to implement evidence-based interventions (EBIs) in children's mental health services have complex direct and indirect causal impacts on multiple outcomes. Ripple effects are outcomes caused by EBI implementation efforts that are unplanned, unanticipated, and/or more salient to stakeholders other than researchers and implementers. The purpose of the current paper is to provide a compilation of possible ripple effects associated with EBI implementation strategies in children's mental health services, to be used for implementation planning, research, and quality improvement.

Methods

Participants were identified via expert nomination and snowball sampling. Online surveys were completed by 81 participants, each representing one of five roles: providers of mental health services to children or youth, researchers, policy makers, caregivers, and youth. A partially directed conventional content analysis with consensus decision making was used to code ripple effects.

Results

Four hundred and four unique responses were coded into 66 ripple effects and 14 categories. Categories include general knowledge, skills, attitudes, and confidence about using EBIs; general job-related ripple effects; EBI treatment adherence, fidelity, and alignment; gaming the system; equity and stigma; shifting roles, role clarity, and task shifting; economic costs and benefits; EBI treatment availability, access, participation, attendance, barriers, and facilitators; clinical process and treatment quality; client engagement, therapeutic alliance, and client satisfaction; clinical organization structure, relationships in the organization, process, and functioning; youth client and caregiver outcomes; and use of EBI strategies and insights in one's own life.

Conclusions

This research advances the field by providing children's mental health implementers, researchers, funders, policy makers, and consumers with a menu of potential ripple effects. It can be a practical tool to ensure compliance with guidance from Quality Improvement/Quality Assurance, Complexity Science, and Diffusion of Innovation Theory. Future phases will match potential ripple effects with salient children's mental health implementation strategies for each participant role.

Global Child Mental Health Research: Time for the Children

Although 9 of 10 of the world's children live in low- and middle-income countries (LMICs), and children constitute nearly half of the populations of these countries, far too little research has focused on child mental health in LMICs.¹ The expansion of research in global health and global mental health over the past several decades has not yet been matched by new research in child and adolescent mental health in LMICs.² It is time for that to change. New research should include a focus on social drivers and the mechanisms by which they contribute to mental illnesses.