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The mental health needs of children in low-and-middle income countries (LMICs) often go unmet due to a lack of qualified mental health professionals. Task-shifting the provision of mental health services to teachers may facilitate access to care. Family engagement in task-shifting may support mental health outcomes but is understudied in this context. The current study explored teacher and caregiver perceptions of family engagement within a teacher-led, task-shifted mental health intervention in an LMIC. Primary school teachers from five schools in Darjeeling, India delivered evidence-based, indicated mental health care to children with mental health needs throughout the school day. We conducted semi-structured interviews (SSIs) with teachers (n=17) and caregivers (n=21). SSIs were coded for themes related to family engagement. Teachers and caregivers were compared based on perceived levels of engagement. Participants reported three patterns of engagement: families who fully engaged; families who felt positively about teachers but displayed little engagement; and families with limited engagement. Barriers included logistical challenges and misconceptions about the programme. Many teachers implicated family engagement as a facilitator of the programme, suggesting that family involvement may support intervention outcomes. Future work could involve the development of an intervention component to better facilitate engagement in this context. Trial registration: Clinical Trials Registry India identifier: CTRI/2018/01/011471. [ABSTRACT FROM AUTHOR]

Background: Knowledgeable in child development, primary school teachers in low- and middle-income countries (LMICs) have the potential to identify their students needing mental health care. Objective: We evaluated whether teachers in Darjeeling, India can accurately nominate school-aged children for mental health services after training and aided by a novel tool. Methods: In 2018, 19 primary school teachers from five low-cost private (LCP) schools in rural Darjeeling were trained to nominate children needing care. Teachers evaluated all of their students aided by a novel tool, 'Behavior Type and Severity Tool' (BTST), completed the Achenbach Teacher Report Form (TRF) as a mental health status reference standard, and nominated two students for care. Sensitivity and specificity of being nominated compared to TRF overall and subdomain scores were calculated. BTST performance was determined by comparing BTST and TRF scores and creating Receiver Operating Characteristic curves to determine optimal cutoffs. Multivariable regression models were used to identify demographic predictors of teacher accuracy using the BTST. Results: For students demonstrating a clinical or borderline score in at least one TRF subdomain, the sensitivity (72%) and specificity (62%) of teacher nomination were moderately high. BTST overall scores and TRF Total Problem scores were correlated (Spearman's ρ = 0.34, p < 0.0001), as were all subdomains. For the TRF Total Problem score, a maximum Youden's J of 0.39 occurred at BTST cutoff >4 for borderline struggles and 0.54 at the BTST cutoff >6 for clinical struggles. Younger teacher age, less education, less formal education training, and more years of experience were positively associated with teacher accuracy. Conclusions: With training and a simple decision support tool, primary school teachers in an LMIC nominated students for mental health services with moderate accuracy. With the BTST being weakly accurate, teachers' judgment largely accounted for the moderate accuracy of nominations. [ABSTRACT FROM AUTHOR]