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Record W3204259478 · doi:10.1177/08404704211046604

Community-informed, integrated, and coordinated care through a community-level model: A narrative synthesis on community hubs

2021· article· en· W3204259478 on OpenAlexaff
Derek R. Manis, Iwona A. Bielska, Kelly Cimek, Andrew P. Costa

Bibliographic record

VenueHealthcare Management Forum · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster Children's HospitalMcMaster UniversityResearch Institute for AgingMcMaster University Medical Centre
Fundersnot available
KeywordsCINAHLScopusHealth careCommunity healthMEDLINEMental healthCommunity health workersWork (physics)Knowledge managementNursingBusinessPsychologyMedicineHealth servicesComputer sciencePsychological interventionPublic healthPolitical scienceEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0170.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.150
GPT teacher head0.436
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2021
Admission routes1
Has abstractyes

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