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Record W1974387805 · doi:10.1016/s0840-4704(10)60801-0

Exploring a Chronic Care Model in a Regional Healthcare Context

2001· article· en· W1974387805 on OpenAlexaffabout
Thomas R. Fulton, B. Christine Penney, Alice Taft

Bibliographic record

VenueHealthcare Management Forum · 2001
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsContext (archaeology)Health careChronic careBusinessHealthcare deliveryService delivery frameworkNursingService (business)Knowledge managementProcess managementMedicineChronic diseaseMarketingFamily medicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The episodic acute care model of service delivery that consumes the majority of healthcare funding is inadequate to meet the needs of a society experiencing an increasing burden of chronic illness. This article describes, in a regional Canadian healthcare context, the application and preliminary evaluation of a model of chronic care delivery developed in a managed care environment in the United States. The strategic goals of this model are to empower clients by providing a redesigned service delivery environment that supports self-management; support care providers by developing clinical information systems and decision supports; and align community resources, policies and organization of care to support an informed, activated client and a proactive practice team.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.635
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.199
GPT teacher head0.362
Teacher spread0.163 · 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 designNot applicable
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

Citations19
Published2001
Admission routes2
Has abstractyes

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