# Developing an animation-based mental health measure for children and young people

**Authors:** Victoria Christodoulides, Navya Malik, Angelika Labno, Giulia Ravaccia, Eleanor Grace, Ashton Ferguson, Omowumi Obi, Grizelda Khaling, Hotri Alapati, Melissa Cortina, Liffy McDonnell-Bond, Chloe Edridge, Julian Edbrooke-Childs

PMC · DOI: 10.1186/s40359-026-04036-0 · BMC Psychology · 2026-02-26

## TL;DR

Researchers created an animation-based mental health tool for children and young people to make assessments more accessible and engaging.

## Contribution

A novel animation-based mental health measure co-developed with young people to improve accessibility and inclusivity.

## Key findings

- Young people found the animated measure engaging and easier to understand than traditional surveys.
- Feedback highlighted the need for clearer instructions and improved accessibility features like subtitles.
- The tool shows potential for use with younger children and neurodivergent youth.

## Abstract

There is a need to increase the accessibility, inclusivity, and representation of mental health measures for young people, particularly for those who may struggle with traditional text-based formats due to literacy, language, or cognitive barriers. We aimed to develop an animation-based mental health measure for young people.

This study involved a community-based participatory action research (CBPAR) process, including 10 four-hour in-person workshops with young co-researchers and two rounds of 90-min focus groups with different stakeholders. We also conducted think-aloud interviews with 31 young people to explore comprehension, engagement, and usability of the measure.

The resulting tool, Animi, assesses seven symptoms of depression and anxiety through animated characters. Each scenario is depicted by an animated character (Animi) that indicates whether the symptom is present or absent. Users respond by selecting the animation that most closely matches their experience, using either a multiple-choice or Likert-scale format. In the think-aloud interviews, young people reported they generally understood the animations as intended and described the measure as engaging and easy to use. Feedback identified areas for improvement, like clarifying the instructions and further developing accessibility features (e.g., subtitles, customisation options). Participants also highlighted the tool’s potential relevance for younger children, neurodivergent youth, and those with additional needs.

Animi represents a promising and innovative approach to mental health measurement that prioritises accessibility and co-production. Future research will revise the instrument based on feedback from the think-aloud interviews, evaluate its psychometric properties, and explore its use across clinical and educational settings. We hope this research can be used by others seeking to increase the accessibility, inclusivity, and representativeness of mental health measures for young people.

Understanding young people’s mental health is essential; however, traditional text-based surveys can be difficult for some to use, especially if they struggle with reading, have special educational needs, or speak a different first language. To address this, researchers worked with young people to create a new animation-based mental health survey. It was developed with input from young people, mental health professionals, and researchers through co-production workshops, focus groups, and interviews.

This research reported that young people who tested this survey shared positive views, finding the animations engaging and easier to understand than traditional surveys. The new survey offers a way to make mental health research and measures more accessible, especially for those who may find traditional approaches challenging. This paper outlines the measure and the methodological processes taken to develop it.

## Full-text entities

- **Diseases:** cognitive impairments (MESH:D003072), irritability (MESH:D001523), mental health problem (MESH:D000076082), depression (MESH:D003866), autism (MESH:D001321), trauma (MESH:D014947), sensory impairments (MESH:D012678), ADHD (MESH:D001289), hearing difficulty (MESH:D034381), anxiety (MESH:D001007), disrupted sleep (MESH:D019958), visual impairments (MESH:D014786), disabilities (MESH:D009069), Mental health difficulties (OMIM:603663), dyslexia (MESH:D004410)
- **Chemicals:** GLA (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13040877/full.md

## References

6 references — full list in the complete paper: https://tomesphere.com/paper/PMC13040877/full.md

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Source: https://tomesphere.com/paper/PMC13040877