Effectiveness of Serious Games as Digital Therapeutics for Enhancing the Abilities of Children With Attention-Deficit/Hyperactivity Disorder (ADHD): Systematic Literature Review
Notice bibliographique
Résumé
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that often begins in childhood and requires long-term treatment and management. Given the potential adverse effects of pharmacological interventions in children, interest in alternative treatments has increased. Among alternative therapies, serious games have emerged as a promising digital therapeutic approach and are increasingly recognized as an important intervention for children with ADHD. OBJECTIVE: This systematic review aims to evaluate the effectiveness of serious games as digital therapeutics for children with ADHD. It focuses on assessing therapeutic outcomes, including improvements in attention, hyperactivity-impulsivity, social skills, motor skills, executive functions, and enjoyment. METHODS: The review was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A comprehensive literature search was performed across 5 databases: PubMed, Web of Science, Scopus, IEEE Xplore, and ACM Digital Library, covering English studies published from January 2010 to January 2024. Eligibility criteria were established based on the PICOS (Participants, Intervention, Comparison, Outcomes, Study design) framework, with digital therapeutics guidelines pragmatically applied to inform inclusion criteria, exclusion criteria, and quality assessment. Standardized tools including the Cochrane Risk of Bias Tool for randomized controlled trials, the Cochrane Risk of Bias Tool for Non-Randomized Studies of Interventions (ROBINS-I) for nonrandomized controlled trial studies, and the Critical Appraisal Skills Program checklists were used to evaluate risk of bias. Data on study design, targeted abilities, game software and hardware, and intervention parameters (duration, frequency, and length) were extracted and synthesized descriptively. RESULTS: Of the 35 studies identified (1408 participants), gender data were available for 22 studies (888 participants), comprising 660 male and 228 female participants. Analysis revealed multiple abilities focused across many studies: 80% (28/35) assessed attention, 29% (10/35) addressed hyperactivity-impulsivity, 17% (6/35) explored improvements in social skills, 20% (7/35) evaluated motor skills, and 43% (15/35) investigated executive functions. Furthermore, in 89% (31/35) of the trials, children exhibited a positive attitude toward game interventions. Evidence suggests that serious games may contribute to improvements in attention, hyperactivity-impulsivity, social skills, and executive functions in children with ADHD. Although findings on motor skills were inconclusive, interventions incorporating somatosensory inputs demonstrated benefits for hand-eye coordination. CONCLUSIONS: The findings support the potential of serious games as a digital therapeutic modality for children with ADHD, offering benefits in core symptoms and associated impairments while promoting engagement. TRIAL REGISTRATION: PROSPERO CRD420250509693; https://www.crd.york.ac.uk/PROSPERO/view/CRD420250509693.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,039 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,009 | 0,010 |
| Bibliométrie | 0,009 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».