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Preventive psychosocial services and collaboration for children and families: protocol for a mixed-methods intersectoral mapping study at community level

Reinhart, A.; Beierle, S.; Popp, L.; Voigt, B.; Schneider, S.; Reissig, B.; Walper, S.; Kuger, S.; Alayli, A.; De Bock, F.

2026-05-28 public and global health
10.64898/2026.05.27.26354209 medRxiv
Show abstract

Background: Many mental health problems originate in childhood, highlighting the need for early preventive approaches. Preventive services to promote children's mental health are offered in the health, education, and social sectors (H-E-S) but are often not used by certain at-risk groups or early enough. To identify children at-risk and provide needs-oriented support, professionals from all sectors must be well trained, collaborate closely to refer to specialized services for specific mental health problems or risk factors, and understand the regional psychosocial support system and its services. A comprehensive approach to preventing mental health problems requires structured planning and a systematic overview of all institutions and services in the region and their collaboration. This study aims to map the preventive mental health and psychosocial support service system and the collaboration between institutions across three sectors (H-E-S) in two exemplary city districts. The study is integrated into a whole-district approach to child mental health promotion that is being implemented in one of the researched city districts, and its results will inform further activities there. Methods: We use a mixed-methods approach, combining qualitative interviews with a quantitative survey to map psychosocial services for children aged 4 to 10 and their families across the H-E-S sectors in two socioeconomically disadvantaged city districts in East and West Germany. All institutions that potentially offer psychosocial services for children and families will be approached to recruit professionals (e.g., schools, practices, counseling centers). To understand the regional psychosocial support system, we will analyze existing services and their characteristics (e.g., target groups, intervention types) descriptively. Social network analysis will be applied to gain an in-depth understanding of collaboration between institutions, to identify potential gaps in services and pathways, and to inform an intervention aimed at improving interinstitutional and intersectoral collaboration. Discussion: To our knowledge, this is the first study to comprehensively analyze regional preventive psychosocial support systems for children and families across sectors at the community level. Previous mappings of psychosocial services have focused on a single sector (e.g., health) or specific diagnoses only. The psychosocial preventive landscape spanning the H-E-S sectors involves complex financing structures and referral logics. Understanding the characteristics of the existing support landscape requires a systematic and comprehensive approach. Our study advances service mapping and operationalization methods in public health research. Additionally, the findings will inform recommendations for improving comprehensive prevention approaches in the selected city districts.

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