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Record W2528975732 · doi:10.12927/hcq.2016.24692

Care for Patients with Complex Needs: Canadian Results from the Commonwealth Fund 2015 International Health Policy Survey of Primary Care Physicians

2016· article· en· W2528975732 on OpenAlexafffundabout
Christina Lawand, Geoff Paltser, Grace Cheung, Alison Ytsma

Bibliographic record

VenueHealthcare Quarterly · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCanadian Institute for Health Information
FundersCanadian Institutes of Health ResearchSocialdepartementetRadboud UniversiteitBundesministerium für GesundheitMinisterie van Volksgezondheid, Welzijn en SportBundesamt für GesundheitCommonwealth Fund
KeywordsCommonwealthPrimary careHealth careMedicineFamily medicineNursingHealth administrationHealth policyBusinessPolitical scienceEconomic growthPublic healthEconomics

Abstract

fetched live from OpenAlex

Good primary care is essential for the effective management of patients with chronic conditions in the community and to ensure their care is well coordinated with other parts of the system. The Commonwealth Fund 2015 International Health Policy Survey compares the views and experiences of primary care physicians in 11 countries including Canada. The survey found nearly all (98%) primary care doctors across countries treat patients with complex needs in their practice. However, when examining questions on chronic disease management and coordination of care with other providers, Canadian results are mixed compared to the international average, and show variation at the provincial level. Opportunities likely exist to learn from other countries that have a more systematic approach to primary care delivery.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.085
GPT teacher head0.406
Teacher spread0.321 · 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 designObservational
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
Published2016
Admission routes3
Has abstractyes

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