Background: Implementation of interventions to treat child and adolescent mental health problems in schools could help fill the mental health care gap in low- and middle-income countries (LMICs). Most of the evidence available come from systematic reviews on mental health prevention and promotion, and there is less evidence on treatment strategies that can be effectively delivered in schools. The aim of this review was to identify what school-based interventions have been tested to treat children and adolescents in LMICs, and how effective they are.Methods: We conducted a systematic review including seven electronic databases. The search was carried out in October 2022. We included randomised or non-randomised studies that evaluated school-based interventions for children or adolescents aged 6–18 years living in LMICs and who had, or were at risk of developing, one or more mental health problems.Results: We found 39 studies with 43 different pairwise comparisons, treatment for attention-deficit and hyperactivity (ADHD), anxiety, depression, and posttraumatic stress disorder (PTSD), Conduct disorder (CD). Pooled SMD were statistically significant and showed that, overall, interventions were superior to comparators for PTSD (SMD = 0.61; 95% CI = 0.37–0.86), not statistically significant for anxiety (SMD = 0.11; 95% CI = −0.13 to 0.36), ADHD (SMD = 0.36; 95% CI = −0.15 to 0.87), and for depression (SMD = 0.80; 95% CI = −0.47 to 2.07). For CD the sample size was very small, so the results are imprecise.Conclusion: A significant effect was found if we add up all interventions compared to control, suggesting that, overall, interventions delivered in the school environment are effective in reducing mental health problems among children and adolescents.Systematic review registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=129376], identifier [CRD42019129376].
The aim of this paper is to investigate how doctors working in primary health care in Latin American address patients with common mental disorders and to investigate how stigma can affect their clinical decisions. Using a cross-sectional design, we applied an online self-administered questionnaire to a sample of 550 Primary Care Physicians (PCPs) from Bolivia, Brazil, Cuba and Chile. The questionnaire collected information about sociodemographic variables, training and experience with mental health care. Clinicians’ stigmatizing attitudes towards mental health were measured using the Mental Illness Clinicians' Attitudes Scale (MICA v4). The clinical decisions of PCPs were assessed through three clinical vignettes representing typical cases of depression, anxiety and somatization. A total of 387 professionals completed the questionnaires (70.3% response rate). The 63.7% of the PCPs felt qualified to diagnose and treat people with common mental disorders. More than 90% of the PCPs from Bolivia, Cuba and Chile agreed to treat the patients presented in the three vignettes. We did not find significant differences between the four countries in the scores of the MICA v4 stigma levels, with a mean = 36.3 and SD = 8.3 for all four countries. Gender (p = .672), age (p = .171), training (p = .673) and years of experience (p = .28) were unrelated to stigma. In the two multivariate regression models, PCPs with high levels of stigma were more likely to refer them to a psychiatrist the patients with depression (OR = 1.03, 95% CI, 0.99 to 1.07 p<0.05) and somatoform symptoms somatoform (OR = 1.03, 95% CI, 1.00 to 1.07, p<0.05) to a psychiatrist. The majority of PCPs in the four countries were inclined to treat patients with depression, anxiety and somatoform symptoms. PCPs with more levels of stigma were more likely to refer the patients with depression and somatoform symptoms to a psychiatrist. Stigmatizing attitudes towards mental disorders by PCPs might be important barriers for people with mental health problems to receive the treatment they need in primary care.
Background: A study conducted as part of the development of the Eleventh International Classification of Mental Disorders for Primary Health Care (ICD-11 PHC) provided an opportunity to test the relationships among depressive, anxious and somatic symptoms in PHC.Method: Primary care physicians participating in the ICD-11 PHC field studies in five countries selected patients who presented with somatic symptoms not explained by known physical pathology by applying a 29-item screening on somatic complaints that were under study for bodily stress disorder. Patients were interviewed using the Clinical Interview Schedule-Revised and assessed using two five-item scales that measure depressive and anxious symptoms. Structural models of anxious-depressive symptoms and somatic complaints were tested using a bi-factor approach.Results: A total of 797 patients completed the study procedures. Two bi-factor models fit the data well: Model 1 had all symptoms loaded on a general factor, along with one of three specific depression, anxiety and somatic factors [x2 (627) = 741.016, p < 0.0011, RMSEA = 0.015, CFI = 0.911, TLI = 0.9]. Model 2 had a general factor and two specific anxious depression and somatic factors [x2 (627) = 663.065, p = 0.1543, RMSEA = 0.008, CFI = 0.954, TLI = 0.948].Conclusions: These data along with those of previous studies suggest that depressive, anxious and somatic symptoms are largely different presentations of a common latent phenomenon. This study provides support for the ICD-11 PHC conceptualization of mood disturbance, especially anxious depression, as central among patients who present multiple somatic symptoms.
Young people living in poverty are at higher risk of mental disorders, but whether interventions aimed to reduce poverty have lasting effects on mental health has not been well established. We examined whether exposure to Brazil’s conditional cash transfers programme (CCT), Bolsa Família (BFP), during childhood reduces the risk of mental health problems in early adolescence. We used data from 2063 participants in the 2004 Pelotas Birth Cohort study. Propensity score matching (PSM) estimated the association between BFP participation at age 6 and externalising problems (Strengths and Difficulties Questionnaire – SDQ and violent behaviour) and socio-emotional competencies (Development and Well-Being Assessment questionnaire, and the Nowick-Strickland Internal-External Scale) at age 11. PSM results suggest that programme participation at age of six was not significantly associated with externalising problems (P = 0.433), prosocial behaviour (P = 0.654), violent behaviour (P = 0.342), social aptitudes (P = 0.281), positive attributes (P = 0.439), or locus of control (P = 0.148) at the age of 11 years. Participation in BFP during childhood was not associated with improved or worsened mental health in early adolescence. While we cannot fully discard that findings may be due to adverse selection, results suggest that CCTs alone may not be sufficient to improve mental health outcomes and would be prudent to assess whether mental health interventions as an addition to CCTs may be helpful.
Purpose of review This was a retrospective ecological study to examine the relationship between suicide rates and economic indicators in large Brazilian urban centers. Data on macroeconomic indicators (GDP and unemployment rates) and suicide rates of the largest Brazilian cities were collected from January 2006 to December 2015. Recent findings Six cities were included in the study: Porto Alegre in the South, Recife and Salvador in the Northeast, and Belo Horizonte, São Paulo and Rio de Janeiro in the Southeast region. We observed a 4% increase in the age-adjusted suicide rate in these large Brazilian urban centers from 2006 to 2015, which is less pronounced than the 9% increase in the national rates of suicide observed in the same period. Summary The effect of economic indicators was heterogeneous among the centers, but, overall, the variation in suicide rates was inversely related to unemployment and did not show a significant relationship with GDP. These findings indicate a more complex link between economics and suicide whenever looking at local regional indicators. Further research should focus on possible intervening factors, what may inform better preventive interventions.