Development of Goal-Achievement Support App to Assist Children and Families in Participating in Meaningful Occupations: Content Validation Using Delphi Method
Notice bibliographique
Résumé
Background: Occupational therapy has highlighted the necessity for planning and executing interventions in collaboration with clients, families, and caregivers to facilitate their progress. Thus, in pediatric occupational therapy, it is essential to position the family as a primary client and to actively involve them in the intervention process. These interventions often incorporate tools that facilitate parental engagement in home-based activities. However, no tools have been specifically designed to support parents comprehensively in achieving their parenting goals in everyday situations. To address this gap, we developed a mobile app called the Children's Occupation Support Mobile System (COSMO) to support occupational therapists, children, and parents in a collaborative manner to achieve intervention goals in daily life. Objective: The aim of the study is to develop the COSMO and validate its content in terms of legibility, visibility, and accessibility. Methods: This study was conducted in two stages: (1) designing a prototype of COSMO and (2) validating its content using the Delphi method. The prototype was developed based on a conceptual model of parenting strategies, which was derived from interviews with mothers raising children with developmental disabilities. This study included 10 Japanese pediatric occupational therapists, who were selected using convenience sampling to ensure diversity and heterogeneity in attributes. The Delphi survey was conducted entirely through a web-based questionnaire emailed to the experts. Participants rated their agreement with each item on a 5-point Likert scale. A mean item score of ≥3.75 (75%) indicated consensus. Results: The prototype was designed through a series of 13 one-hour meetings held monthly. The functional framework of COSMO was structured into four core components based on previous research: (1) collaborative goal setting, (2) home strategy-an action plan to achieve goals, (3) self-reflection-a record of implemented strategies, and (4) progress reports-data storage for tracking outcomes. For validating the content, the 2 Delphi rounds resulted in a total mean score of 4.44 for legibility, 4.86 for visibility, and 4.84 for accessibility. In the free-text responses, there were references to improvements in the wording and to the burden of writing the reflections. Therefore, the wording was revised to avoid jargon and use plain language. The burden of COSMO use was reduced by simplifying the use process by incorporating optional inputs for some of its functions. Conclusions: COSMO was developed as a comprehensive tool to integrate functions while aiming to reduce the burden on parents. This may reduce resistance to app use and make it easier for more parents to use it. Future studies should evaluate the generalizability and effectiveness of the prototype as an intervention. Limitations of this study include the absence of end-user testing, a geographically limited expert panel, and a limited discussion of implementation challenges across diverse health care settings.
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 | 0,027 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».