Aims.: This study evaluated the measurement invariance of the strengths and difficulties questionnaire (SDQ) self-report among adolescents from seven different nations.Methods.: Data for 2367 adolescents, aged 13–18 years, from India, Indonesia, Nigeria, Serbia, Turkey, Bulgaria and Croatia were available for a series of factor analyses.Results.: The five-factor model including original SDQ scales emotional symptoms, conduct problems, hyperactivity–inattention problems, peer problems and prosocial behaviour generated inadequate fit degree in all countries. A bifactor model with three factors (i.e., externalising, internalising and prosocial) and one general problem factor yielded adequate degree of fit in India, Nigeria, Turkey and Croatia. The prosocial behaviour, emotional symptoms and conduct problems factor were found to be common for all nations. However, originally proposed items loaded saliently on other factors besides the proposed ones or only some of them corresponded to proposed factors in all seven countries.Conclusions.: Due to the lack of a common acceptable model across all countries, namely the same numbers of factors (i.e., dimensional invariance), it was not possible to perform the metric and scalar invariance test, what indicates that the SDQ self-report models tested lack appropriate measurement invariance across adolescents from these seven nations and it needs to be revised for cross-country comparisons.

Background: Children and adolescents are often exposed to traumatic events, which may lead to the development of posttraumatic stress disorder (PTSD). It is therefore important for clinicians to screen for potential symptoms that can be signs of PTSD onset. PTSD in youth is a worldwide problem, thus congruent screening tools in various languages are needed. Objective: The aim of this study was to test the general psychometric properties of the Traumatic Stress Disorder Reaction Index for children and adolescents (UCLA PTSD) Reaction Index for DSM-5 (PTSD-RI-5) in adolescents, a self-report instrument intended to screen for trauma exposure and assess PTSD symptoms. Method: Data was collected from 4201 adolescents in communities within eleven countries worldwide (i.e. Brazil, Bulgaria, Croatia, Indonesia, Montenegro, Nigeria, Palestine-Gaza, Philippines, Portugal, Romania, and Serbia). Internal consistency, discriminant validity, and a confirmatory factor analysis of a four-factor model representing the main DSM-5 symptoms of the PTSD-RI-5 were evaluated. Results: The PTSD-RI-5 total score for the entire sample shows very good reliability (α = .92) as well as across all countries included (α ranged from .90 to .94). The correlations between anxiety/depressive symptoms and the PTSD-RI-5 scores were below .70 indicating on good discriminant validity. The four-factor structure of the scale was confirmed for the total sample and data from six countries. The standardized regression weights for all items varied markedly across the countries. The lack of a common acceptable model across all countries prevented us from direct testing of cross-cultural measurement invariance. Conclusions: The four-factor structure of the PTSD-RI-5 likely represents the core PTSD symptoms as proposed by the DSM-5 criteria, but there could be items interpreted in a conceptually different manner by adolescents from different cultural/regional backgrounds and future cross-cultural evaluations need to consider this finding.

Background: Poor transition planning contributes to discontinuity of care at the child–adult mental health service boundary (SB), adversely affecting mental health outcomes in young people (YP). The aim of the study was to determine whether managed transition (MT) improves mental health outcomes of YP reaching the child/adolescent mental health service (CAMHS) boundary compared with usual care (UC).Methods: A two-arm cluster-randomised trial (ISRCTN83240263 and NCT03013595) with clusters allocated 1:2 between MT and UC. Recruitment took place in 40 CAMHS (eight European countries) between October 2015 and December 2016. Eligible participants were CAMHS service users who were receiving treatment or had a diagnosed mental disorder, had an IQ ⩾ 70 and were within 1 year of reaching the SB. MT was a multi-component intervention that included CAMHS training, systematic identification of YP approaching SB, a structured assessment (Transition Readiness and Appropriateness Measure) and sharing of information between CAMHS and adult mental health services. The primary outcome was HoNOSCA (Health of the Nation Outcome Scale for Children and Adolescents) score 15-months post-entry to the trial.Results: The mean difference in HoNOSCA scores between the MT and UC arms at 15 months was −1.11 points (95% confidence interval −2.07 to −0.14,p= 0.03). The cost of delivering the intervention was relatively modest (€17–€65 per service user).Conclusions: MT led to improved mental health of YP after the SB but the magnitude of the effect was small. The intervention can be implemented at low cost and form part of planned and purposeful transitional care.

Background: The objective of the present study was to examine the association of insight into the illness with demographic variables and symptomatology in a sample of 1213 patients with schizophrenia.Method: Data were collected with the Psychosis Evaluation tool for Common use by Caregivers (PECC), a semi-structured interview evaluating five symptom domains of schizophrenia and the insight items ‘awareness of having a mental disorder’ and ‘attributing symptoms to a mental disorder’.Results: Insight was positively associated with educational level and inversely with overall symptom severity, and the positive, negative, excitatory and cognitive symptom domains. At symptom level, the items ‘delusions’, ‘grandiosity’, ‘poor rapport’, ‘social withdrawal’ and ‘guilt feelings’ showed the strongest associations with both insight items. Overall, correlations between insight and symptomatology were modest, explaining less than 30% of the variance in insight.Conclusion: Lack of insight in schizophrenia is partially explained by clinical symptoms and demographic measures.