Développement d'une mesure de santé mentale fondée sur l'animation pour les enfants et les jeunes

Titre original en anglais : Developing an animation-based mental health measure for children and young people

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Christodoulides, V. A., Malik, N., Labno, A., Ravaccia, G., Grace, E., Ferguson, A., Obi, O., Khaling, G., Alapati, H. H., Cortina, M. A., McDonnell-Bond, L., Edridge, C., & Edbrooke-Childs, J. (2026). Developing an animation-based mental health measure for children and young people. BMC Psychology, 14(1). https://doi.org/10.1186/s40359-026-04036-0

Date de publication: 26/02/2026 Ajout dans AutiHub: 05/07/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
13
Auteur·ices de la publication identifié·es comme autistes
1 / 13 (7,7 %)
  1. Victoria Anneke Christodoulides
  2. Navya Malik
  3. Angelika Labno
  4. Giulia Ravaccia
  5. Eleanor Grace
  1. Ashton Ferguson *
  2. Omowumi Obi
  3. Grizelda Khaling
  4. Hotri Himasri Alapati
  5. Melissa A. Cortina
  1. Liffy McDonnell-Bond
  2. Chloe Edridge
  3. Julian Edbrooke-Childs

Résumé

CONTEXTE : Il est nécessaire d'accroître l'accessibilité, l'inclusivité et la représentation dans les mesures de santé mentale destinées aux jeunes, en particulier pour ceux qui peuvent éprouver des difficultés avec les formats traditionnels fondés sur le texte en raison de barrières liées à la littératie, à la langue ou aux capacités cognitives. Nous avons cherché à développer une mesure de santé mentale fondée sur l'animation pour les jeunes. MÉTHODES : Cette étude a impliqué un processus de recherche-action participative communautaire (CBPAR), comprenant 10 ateliers en présentiel de quatre heures avec de jeunes co-chercheurs et deux séries de groupes de discussion de 90 min avec différentes parties prenantes. Nous avons également mené des entretiens de verbalisation de la pensée avec 31 jeunes afin d'explorer la compréhension, l'engagement et l'utilisabilité de la mesure. RÉSULTATS : L'outil obtenu, Animi, évalue sept symptômes de dépression et d'anxiété au moyen de personnages animés. Chaque scénario est représenté par un personnage animé (Animi) qui indique si le symptôme est présent ou absent. Les utilisateurs répondent en sélectionnant l'animation qui correspond le plus étroitement à leur expérience, en utilisant soit un format à choix multiples, soit un format d'échelle de Likert. Lors des entretiens de verbalisation de la pensée, les jeunes ont indiqué qu'ils comprenaient généralement les animations comme prévu et ont décrit la mesure comme engageante et facile à utiliser. Les retours ont identifié des domaines à améliorer, tels que la clarification des instructions et le développement accru des fonctionnalités d'accessibilité (p. ex., sous-titres, options de personnalisation). Les participants ont également souligné la pertinence potentielle de l'outil pour les jeunes enfants, les jeunes neurodivergents et ceux ayant des besoins supplémentaires. CONCLUSION : Animi représente une approche prometteuse et innovante de la mesure de la santé mentale qui donne la priorité à l'accessibilité et à la coproduction. Les recherches futures réviseront l'instrument sur la base des retours des entretiens de verbalisation de la pensée, évalueront ses propriétés psychométriques et exploreront son utilisation dans divers contextes cliniques et éducatifs. Nous espérons que cette recherche pourra être utilisée par d'autres personnes cherchant à accroître l'accessibilité, l'inclusivité et la représentativité des mesures de santé mentale destinées aux jeunes.

BACKGROUND: 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. METHODS: 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. FINDINGS: 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. CONCLUSION: 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.

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Ces indicateurs décrivent la bibliographie citée importée pour cette publication. Les métriques de références citées utilisent le total des références citées comme dénominateur. Les métriques d’auteurices cité·es indiquent si elles utilisent toutes les occurrences d’auteurices cité·es ou seulement les occurrences rattachées à des auteurices déjà intégré·es à la base de données AutiHub. Ils utilisent les rattachements mis en cache entre les auteurices cité·es et les auteurices intégré·es à la base de données AutiHub. Dernier calcul : 16/08/2026 11:30.

Références citées
52
Nombre total de références citées intégrées pour cette publication.
Références citées avec un·e auteur·ice identifié·e comme autiste
0 / 52 (0,0 %)
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0 / 201 (0,0 %)
Parmi les occurrences rattachées à des auteurices intégré·es à la base de données AutiHub : 0 / 3 (0,0 %). Auteurices cité·es distinct·es identifié·es comme autistes : 0 / 196 (0,0 %).
Occurrences citées rattachées à la base AutiHub
3 / 201 (1,5 %)
Auteurices cité·es distinct·es rattaché·es : 3 / 196 (1,5 %)
Occurrences rattachées, non identifiées comme autistes
3 / 3 (100,0 %)
Parmi les seules occurrences rattachées. Sur l’ensemble des occurrences d’auteurices cité·es : 3 / 201 (1,5 %). Auteurices cité·es distinct·es rattaché·es, non identifié·es comme autistes : 3 / 3 (100,0 %).
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