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

This mixed-methods intersectoral mapping study protocol aims to comprehensively analyze and visualize the preventive psychosocial support system and collaboration networks across health, education, and social sectors for children aged 4 to 10 in two socioeconomically disadvantaged German city districts, with the goal of identifying service gaps and informing targeted interventions to improve child mental health prevention.

The Gist

The Big Picture: Fixing a Broken Map

Imagine a city where children are struggling with sadness, anger, or trouble at school. To help them, there are many different helpers available: doctors (Health), teachers (Education), and social workers (Social).

The problem is that these helpers often don't know about each other. A teacher might not know which doctor to call, and a doctor might not know which social worker is nearby. It's like having a giant toolbox where everyone has a different set of tools, but no one knows where the tools are kept or how to share them. Because of this confusion, many families don't get help early enough, or they get lost in the system.

This paper is a protocol—a detailed plan for a study. The researchers aren't treating patients yet; they are building a map to see exactly what tools exist, where they are, and how the helpers are currently talking to each other.

The Goal: Drawing the "Help Map"

The researchers want to draw a complete picture of the "psychosocial support system" in two specific, struggling neighborhoods in Germany (one in the East, one in the West). They want to answer three main questions:

1. What services exist? (Who is offering help?)
2. Who is talking to whom? (Are the doctors, teachers, and social workers collaborating, or are they working in isolation?)
3. Where are the holes? (Are there families who need help but can't find anyone to give it to them?)

How They Will Do It: The Three-Step Detective Work

The researchers are using a "mixed-methods" approach, which is like using a magnifying glass, a tape recorder, and a wide-angle lens all at once.

Step 1: The Digital Scavenger Hunt (Desk Research)
First, they will scour the internet and public records to make a master list of every organization that might offer help. This is like checking the phone book and the city website to find every potential "helping hand" in the neighborhood.

Step 2: The Deep-Dive Interviews (Qualitative)
Next, they will sit down with key leaders (like the head of a school or a clinic director) for long conversations.

• The "Ego-Centered Network Map": During these chats, they will ask the professional to draw a circle around themselves and then draw lines to everyone they work with. It's like asking a person, "Who do you call when a kid is in trouble?" and drawing a web of connections. This helps them see who is actually connected and who is isolated.

Step 3: The Big Survey (Quantitative)
Finally, they will send a questionnaire to as many professionals as possible across those two neighborhoods.

• They will ask: "What specific services do you offer?" "How long do families have to wait?" and "How satisfied are you with your partners in other sectors?"
• This turns the individual stories into big numbers, allowing them to see the "forest" rather than just the "trees."

The "Three Sectors" (The Three Teams)

The study focuses on three distinct teams that need to work together:

• Health (H): Doctors, therapists, and hospitals.
• Education (E): Schools, kindergartens, and teachers.
• Social (S): Social workers, youth welfare, and counseling centers.

The researchers believe that for a child to get better, these three teams need to stop playing their own games and start playing on the same team.

Why This Matters (The "So What?")

Currently, most maps of help services only look at one team (like just doctors) or only look at serious mental illnesses. This study is unique because:

• It looks at prevention (stopping problems before they get bad).
• It focuses on children aged 4 to 10 and their families.
• It looks at the whole neighborhood level, not just a big city or a whole country.

The Limitations (What They Can't Do Yet)

The authors are honest about what this study won't do:

• No Client Perspective: They are only asking the helpers (professionals), not the families or children themselves. It's like asking the chefs about the menu, but not asking the diners if they liked the food.
• A Snapshot in Time: The map is a photo of the system right now. Since systems change, this map might need updating later.
• Voluntary Participation: They are asking people to volunteer. If the busiest clinics are too tired to answer, the map might miss some important pieces.

The Ultimate Goal

By the end of this study, the researchers hope to produce a clear, organized map that shows exactly how the system works in these two neighborhoods. This map will help city planners and leaders see where the gaps are and how to build better bridges between the doctors, teachers, and social workers. The ultimate aim is to create a smoother, faster path for families to get the help they need, right when they need it.

Technical Summary

Technical Summary: Protocol for a Mixed-Methods Intersectoral Mapping Study

Problem Statement
Mental health disorders and problems frequently originate in childhood, with up to 20% of children experiencing emotional or behavioral issues. Early identification of psychosocial risk factors (e.g., parental mental health issues, poverty, violence) and the provision of targeted support are critical for preventing long-term developmental trajectories. However, existing preventive psychosocial services within the health, education, and social (H-E-S) sectors are often underutilized, accessed too late, or missed by at-risk groups. A primary barrier is the lack of awareness among professionals regarding services available outside their own sector, alongside complex financing structures and referral logics. While intersectoral collaboration is recognized by the World Health Organization (WHO) as essential for prevention, there is a scarcity of comprehensive, community-level mapping of these systems, particularly for children aged 4–10. Existing mapping tools (e.g., ESMS, DESDE-LTC) typically operate at national or regional levels, focus on adult psychiatric care, or address only single sectors, failing to capture the specific dynamics of preventive, intersectoral support for children and families in Germany.

Methodology
This study employs a sequential mixed-methods design to map the preventive psychosocial support system in two socioeconomically disadvantaged city districts (one in East Germany, one in West Germany). The research is embedded within a whole-district approach to child mental health promotion and follows three distinct phases:

1. Desk Research: A systematic compilation of existing services, institutions, and contact persons across the H-E-S sectors using online searches and professional networks. This phase aims to create a comprehensive initial list of potential support providers.
2. Qualitative Key Informant Interviews: Semi-structured, guideline-based interviews (60–90 minutes) with 2–3 key professionals per sector in each region (approx. 6–9 interviews per region). These interviews utilize ego-centered network maps to visualize collaboration patterns, identify missing services, and explore barriers and enablers to intersectoral cooperation.
3. Quantitative Online Survey: A broad survey distributed to professionals across all identified institutions. The survey collects descriptive data on service characteristics (target groups, content, funding, waiting times) and collaboration metrics (frequency, type, satisfaction) over the last 12 months. It incorporates a collective network mapping approach to assess institutional-level collaboration.

Data Analysis and Theoretical Framework
The study is grounded in systems thinking, viewing the psychosocial support landscape as a cohesive system of three subsystems (H-E-S) linked by collaboration and referral logics.

• Qualitative Analysis: Interviews will be coded using MAXQDA based on Kuckartz's qualitative content analysis, employing both deductive (from the interview guide) and inductive categories.
• Quantitative Analysis: Descriptive statistics (SPSS/R) will analyze service characteristics and collaboration networks. Inferential statistics will be applied if data permits.
• Triangulation: Results from all phases will be triangulated to ensure consistency, complementarity, and a comprehensive understanding of the system's structure and functioning.
• Categorization: A new categorization system for services will be developed, moving beyond traditional psychiatric models to include functions (e.g., counseling, diagnostics), psychosocial focus, and prevention levels (primary/secondary).

Key Contributions and Results (Expected)
As a protocol paper, the study does not yet present empirical results but outlines the methodology for generating them. The anticipated contributions include:

• First Comprehensive Mapping: A novel, intersectoral mapping of preventive psychosocial services for children (aged 4–10) and families at the community level, covering the H-E-S sectors.
• Systematic Categorization: The development of a tailored instrument and categorization system specifically for preventive services, addressing the limitations of existing tools that focus on adult care or single sectors.
• Identification of Gaps: The integration of social network analysis aims to identify structural gaps in service provision, referral pathways, and intersectoral collaboration.
• Foundation for Intervention: The findings are intended to inform structural improvements, such as strengthening collaboration and refining referral processes in the studied districts.

Significance and Claims
The authors position this study as a foundational step in advancing public health research methodology regarding child mental health. They claim that by shifting from a sector-specific to a systems perspective, the study will:

• Provide a "snapshot" of the complex, time-dynamic support system to better understand its structure and functioning.
• Offer a basis for developing a standardized, adaptable instrument for future mapping and monitoring of psychosocial support systems in other regions.
• Move beyond theoretical models to provide empirical data on the "prevention chain" for children beyond early childhood (ages 0–3), a demographic currently under-researched in the German context.
• Facilitate the transition from a fragmented "landscape" of services to a coherent, learning, and adaptable preventive system through evidence-based structural changes.

The study acknowledges limitations, including the focus on professionals rather than client perspectives, the voluntary nature of participation (potential selection bias), and the restriction to urban districts, which may limit generalizability to rural areas. However, it asserts that the resulting framework will be crucial for developing targeted, needs-oriented prevention strategies.