Scoping of models to support population-based regional health planning and management: comparison with the regional operating model in Victoria, Australia
Notice bibliographique
Résumé
Objective The aim of the present study was to try to understand the breadth and comprehensiveness of a regional operating model (ROM) developed within the Victorian Department of Health's North West Metropolitan Region office in Melbourne, Australia. Methods A published literature search was conducted, with additional website scanning, snowballing technique and expert consultation, to identify existing operating models. An analytical grid was developed covering 16 components to evaluate the models and assess the exhaustiveness of the ROM. Results From the 34 documents scoped, 10 models were identified to act as a direct comparator to the ROM. These concerned models from Australia (n=5) and other comparable countries (Canada, UK). The ROM was among the most exhaustive models, covering 13 of 16 components. It was one of the few models that included intersectoral actions and levers of influence. However, some models identified more precisely the planning tools, prioritisation criteria and steps, and the allocation mechanisms. Conclusions The review finds that the ROM appears to provide a wide coverage of aspects of planning and integrates into a single model some of the distinctive elements of the other models scoped. What is known about the topic? Various jurisdictions are moving towards a population-based approach to manage public services with regard to the provision of individual medical and social care. Various models have been proposed to guide the planning of services from a population health perspective. What does this paper add? This paper assesses the coverage of attributes of operating models supporting a population health planning approach to the management of services at the regional or local level. It provides a scoping of current models proposed to organise activities to ensure an integrated approach to the provision of services and compares the scoped models to a model recently implemented in Victoria, Australia. What are the implications for practitioners? This paper highlights the relative paucity of operating models describing in concrete terms how to manage medical and social services from a population perspective and encourages organisations that are accountable for securing population health to clearly articulate their own operating model. It outlines strengths and potential gaps in current models.
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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 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 ».