Community-informed, integrated, and coordinated care through a community-level model: A narrative synthesis on community hubs
Bibliographic record
Abstract
We identify the core services included in a community hub model of care to improve the understanding of this model for health leaders, decision-makers in community-based organizations, and primary healthcare clinicians. We searched Medline, PubMed, CINAHL, Scopus, Web of Science, and Google from 2000 to 2020 to synthesize original research on community hubs. Eighteen sources were assessed for quality and narratively synthesized (n = 18). Our analysis found 4 streams related to the service delivery in a community hub model of care: (1) Chronic disease management; (2) mental health and addictions; (3) family and reproductive health; and (4) seniors. The specific services within these streams were dependent upon the needs of the community, as a community hub model of care responds and adapts to evolving needs. Our findings inform the work of health leaders tasked with implementing system-level transformations towards community-informed models of care.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.017 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.009 |
| 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".