MétaCan
Menu
Back to cohort
Record W2128122302 · doi:10.1258/hsmr.2008.008001

Management of complex chronic disease: facing the challenges in the Canadian health-care system

2008· article· en· W2128122302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Services Management Research · 2008
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsBridgepoint Active HealthcareYork University
Fundersnot available
KeywordsHealth careBusinessMedicineChronic diseaseChronic careDiseaseHealth policyNursingDisease managementHRHISHealth care deliveryInvestment (military)Economic growthFamily medicinePublic healthPolitical scienceEconomics

Abstract

fetched live from OpenAlex

This paper discusses the challenges that those living with complex chronic disease present to the Canadian health-care system. The literature suggests home care and the management of complex chronic disease can together ease many of the present and future pressures facing the health-care system in dealing with this new health-care phenomenon. A review of current literature and dialogue with key informants reveals that the current level of investment and the present policy environment are not sustainable to support the health-care system. In this paper, changes to policy and resource allocation to the home care sector are suggested to help manage complex chronic disease and thus improve the effectiveness of the Canadian health-care system. A case is made for a reorganization and increased commitment to the home care sector for a more efficient and patient-centred health-care delivery system.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.233
GPT teacher head0.440
Teacher spread0.207 · 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