Scoping of models to support population-based regional health planning and management: comparison with the regional operating model in Victoria, Australia
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".