War Child

This three-level meta-analysis examined the effects of post-detention aftercare programs for adolescent and young adult offenders on several types of criminal recidivism (primary outcomes) and dynamic risk and protective factors for criminal behavior (secondary outcomes). A systematic search was conducted in the databases APA PsycInfo, Medline, ERIC, Web of Science Core Collection, SocINDEX, and Google Scholar, resulting in 26 relevant studies that produced 259 effect sizes. The results revealed a small overall effect (g=0.26). Aftercare was effective for both primary (g=0.23) and secondary (g=0.35) outcomes. Smaller effects were found for general offenses (g=0.23) and violent offenses (g=0.26), a somewhat larger effect for minor offenses (g=0.39), and no effect for substance abuse offenses (g=-0.04). Larger effects were found for arrests (g=0.25) compared to convicted offenses (g=0.12). Moderator analyses showed that mentoring and multi-modal interventions were effective, whereas family interventions as well as service and surveillance interventions were not effective. Positive changes in skills, substance abuse, family functioning, externalizing problems, internalizing problems, and general health were associated with larger intervention effects on recidivism, and thus may be considered important levers of change in post-detention aftercare programs. It was concluded that aftercare programs can fulfill a crucial role in deterring youth from re-offending. Future research should focus on refining aftercare programs and identifying program components that contribute to the success of aftercare for young offenders.

Advances in conditioning regimens have made non-myeloablative allogeneic hematopoietic stem cell transplantation (HSCT) a viable curative option for adults with sickle cell disease (SCD). However, prospective studies comparing pre- and post-transplant patient-reported health outcomes are scarce. Therefore, in a prospective, mixed-methods cohort study in adults with SCD undergoing HSCT, we tested the hypothesis that physical, mental, and social health improves after HSCT relative to baseline. We compared 9 Patient-Reported Outcomes Measurement Information System (PROMIS®) measures at 6, 12, and 18 months post-transplant to baseline and general population values. Semi-structured interviews were conducted pre- and post-transplant that were thematically analyzed (MAXQDA). Seventeen patients (7 females, 10 males; median age 26 years) underwent matched sibling (9) or haploidentical donor (8) transplantation. Compared to baseline, pain interference (p = 0.008), physical function (p < 0.001), fatigue (p = 0.001), anxiety (p = 0.016), anger (p = 0.037), and the ability to (p < 0.001) and satisfaction with (p < 0.001) social roles and activities improved at 18 months. Compared to reference values, physical function, sleep disturbance, fatigue, anxiety, and the ability to and satisfaction with social roles and activities T-scores were significantly worse at baseline but comparable or better after 18 months. Thematic analysis of the interviews revealed high satisfaction with improved physical and social abilities alongside complex mental health challenges, including processing the psychological aftermath of SCD, dealing with transplant-related toxicity, adjustment challenges, and identity conflicts. In conclusion, while physical, mental, and social health improves after HSCT, the effects on mental health can be complex and warrant psychosocial support early in the process of curative therapies.

The authors declare no conflicts of interest. The data that support the findings of this study are available from the corresponding author upon reasonable request.

BackgroundPromoting mental health, preventing mental disorders and providing effective treatments are public health priorities. Randomized controlled trials (RCTs) frequently evaluate mental health and psychosocial support interventions to achieve one or more of these objectives. Distinguishing between RCTs focused on mental health promotion, prevention or treatment remains conceptually and methodologically challenging. No standardized tool exists to position RCTs along a promotion-to-treatment continuum in mental health. We aimed to develop and validate the VErona-LUgano Tool (VELUT) for distinguishing RCTs along the promotion-to-treatment continuum.MethodsAn interdisciplinary tool development group (TDG) was established. The Population, Intervention, Comparison and Outcome framework was used to define key constructs. Items in the tool were devised, categorized and reduced through qualitative and quantitative methods. Finally, we performed a preliminary validation of the VELUT applying item response theory (IRT) using data from 180 RCTs.ResultsThe TDG generated 33 items for the initial version of the VELUT, reduced to 16 through review, cognitive interviews and psychometric analysis. Analyses of 180 RCTs using the 16-item tool showed high internal consistency (α = 0.94) and unidimensionality. Following item reduction and IRT, a final 8-item version was retained, and IRT models confirmed strong item discrimination for the 8 items and high scale reliability (marginal reliability >0.90 across most of the range of the scale), good response distribution, item performance and alignment with the Institute of Medicine (IOM) promotion-to-treatment continuum.ConclusionsThe VELUT addresses methodological gaps in global mental health research by helping to position RCTs of MHPSS interventions along the IOM promotion-to-treatment continuum.

This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6–18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational interviewing techniques and behavioural nudges for community gatekeepers using the CCDT. This mixed-methods study was conducted from January to May 2023 in Palorinya refugee settlement in Uganda. We evaluated (1) the added value of the CCDT+ in improving the accuracy of detection and mental health service utilization compared to standard CCDT, and (2) implementation outcomes of the CCDT+. Of the 1026 children detected, 801 (78%) sought help, with 656 needing mental health care (PPV = 0.82; 95% CI: 0.79, 0.84). The CCDT+ significantly increased detection accuracy, with 2.34 times higher odds compared to standard CCDT (95% CI: 1.41, 3.83). Additionally, areas using the CCDT+ had a 2.05-fold increase in mental health service utilization (95% CI: 1.09, 3.83). The CCDT+ shows promise as an embedded quality-optimization process for the detection of mental health problems among children and enhance help-seeking, potentially leading to more efficient use of mental health care resources.

IntroductionRare genetic neurodevelopmental disorders and intellectual disability (ID), collectively called genetic ID (GID), can profoundly impact daily functioning and overall well-being of affected individuals. To improve our understanding of the impact of GID and advancing both care and research, measuring relevant patient reported outcomes (PROs) is crucial. Currently, various PROs are measured for GID. Given the shared comorbidities across disorders, we aim to develop a generic core PRO set for children and adults with GID.Methods and resultsDeveloping the generic core PRO set entails the following steps: 1) providing an overview of potentially relevant PROs by scoping reviews and qualitative research; 2) integrating and conceptualizing these PROs (i.e., describing the content of the PROs in detail) into a pilot generic core PRO set; and 3) prioritizing relevant PROs by a European Delphi survey and consensus meetings.ConclusionsThis protocol presents the steps for developing a generic core PRO set for children and adults with GID. The next step involves selecting suitable patient reported outcome measures (PROMs) to adequately measure these PROs: the generic core PROM set. This generic core PROM set needs validation in the GID population, and eventually implementation in care and research, facilitating the aggregation and analysis of PRO data and guaranteeing continuous integration of the patient perspective in both care and research.

This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6–18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational interviewing techniques and behavioural nudges for community gatekeepers using the CCDT. This mixed-methods study was conducted from January to May 2023 in Palorinya refugee settlement in Uganda. We evaluated (1) the added value of the CCDT+ in improving the accuracy of detection and mental health service utilization compared to standard CCDT, and (2) implementation outcomes of the CCDT+. Of the 1026 children detected, 801 (78%) sought help, with 656 needing mental health care (PPV = 0.82; 95% CI: 0.79, 0.84). The CCDT+ significantly increased detection accuracy, with 2.34 times higher odds compared to standard CCDT (95% CI: 1.41, 3.83). Additionally, areas using the CCDT+ had a 2.05-fold increase in mental health service utilization (95% CI: 1.09, 3.83). The CCDT+ shows promise as an embedded quality-optimization process for the detection of mental health problems among children and enhance help-seeking, potentially leading to more efficient use of mental health care resources.

IntroductionPromoting mental health, preventing and treating mental disorders are critically important in public health, and many randomised controlled trials (RCTs) evaluate intervention strategies for these objectives. However, distinguishing promotion from prevention and from treatment RCTs is challenging. A tool to place studies along the promotion-to-treatment continuum in mental health research does not exist, leaving it to researchers and policymakers to decide on how to classify individual RCTs, which hinders evidence synthesis.Methods and analysisWe present a protocol for the development of a new tool to assist researchers in distinguishing RCTs along the promotion-to-treatment continuum. We will establish a Tool Development Group, and use the Population, Intervention, Comparison and Outcome framework to define constructs. We will generate, define, categorise and reduce the items in the tool using qualitative methods, including cognitive interviews and a Delphi exercise. Psychometric evaluation—including unidimensionality, local independence, monotonicity and item homogeneity—will include data collection, scoring, internal consistency checks and factor analysis of the tool’s indicators for available RCTs. We will use standard Cohen’s kappa statistics to assess the reliability of the tool.Ethics and disseminationThis study involves data collection from the already published literature. However, this protocol has been approved by the ethics committee of the Università della Svizzera Italiana (CE 2024 04). The results of the present project will be disseminated in peer-reviewed journals and at international and national scientific meetings. Training materials for the application of the tool will also be developed and disseminated to the scientific community. The tool and all related implementation materials will be published on a website and will be freely accessible to the public.

In recent years the evidence base for psychological interventions in low- and -middle-income countries (LMIC) has rapidly accrued, demonstrating that task-shifting models result in desired outcomes. Next, it is important to look at how this evidence translates into practice. In doing so, this paper argues that the field of global mental health might benefit from applying a system theory or system science perspective. Systems thinking aims to understand how different components are connected and interdependent within a larger emergent entity. At present much of the research efforts into psychological interventions in LMIC are focusing on single interventions, with little focus on how these interventions sit in, or influence, a larger system. Adopting systems theory and system dynamics tools can help in; (i) better analyzing and understanding the key drivers of mental health problems and services, (ii) optimizing mental health services; and (iii) understanding the organization of people, institutions and resources required for rolling out and scaling-up mental health services. This paper reflects on some of these merits of a systems perspective, as well as provides some examples.