Technology-Enabled Mental Health Service Reform for Open Arms – Veterans and Families Counselling: Participatory Design Study
Notice bibliographique
Résumé
BACKGROUND: The impact of mental ill-health on every aspect of the lives of a large number of Australian Defence Force (ADF) personnel, their partners, and their families is widely recognized. Recent Senate inquiries have highlighted gaps in service delivery as well as the need for service reform to ensure appropriate care options for individuals who are currently engaged with mental health and support services as well as for those who, for a variety of reasons, have not sought help. To that end, successive Australian governments generally and the Department of Veterans' Affairs specifically have prioritized veteran-centric reform. Open Arms is an Australia-wide service that provides counseling and support to current and former ADF personnel, and their family members, for mental health conditions. OBJECTIVE: The aim of this study was to develop and configure a prototypic Web-based platform for Open Arms - Veterans & Families Counselling (formerly Veterans and Veterans Families Counselling Service) with the Open Arms community to enhance the quality of mental health services provided by Open Arms. METHODS: The study aimed to recruit up to 100 people from the Open Arms community (current and former ADF personnel and their families, health professionals, service managers, and administrators) in regions of New South Wales, including Sydney, Canberra, Maitland, Singleton, and Port Stephens. Participants were invited to participate in 4-hour participatory design workshops. A variety of methods were used within the workshops, including prompted discussion, review of working prototypes, creation of descriptive artifacts, and group-based development of user journeys. RESULTS: Seven participatory design workshops were held, including a total of 49 participants. Participants highlighted that the prototype has the potential to (1) provide the opportunity for greater and better-informed personal choice in relation to options for care based on the level of need and personal preferences; (2) ensure transparency in care by providing the individual with access to all of their personal health information; and (3) improve collaborative care and care continuity by allowing information to be shared securely with current and future providers. CONCLUSIONS: Our findings highlight the value of actively engaging stakeholders in participatory design processes for the development and configuration of new technologies.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».