MétaCan
Menu
Back to cohort
Record W2994633346 · doi:10.12927/hcq.2019.26017

Offering Patients a Medical Home – Not a Hallway – and a Stronger Health System

2019· article· en· W2994633346 on OpenAlexaffvenueabout
Leanne Clarke, Kavita Mehta

Bibliographic record

VenueHealthcare Quarterly · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCollege of Family Physicians of Canada
Fundersnot available
KeywordsMedical homeNursingQuality (philosophy)Best practiceHealth careMedicineFamily medicinePrimary carePolitical science

Abstract

fetched live from OpenAlex

This article examines three family health teams (FHTs) in different Ontario communities that exemplify the features of a Patient's Medical Home (PMH), a vision developed by the College of Family Physicians of Canada. With PMH supports and foundations in place, these FHTs deliver high-quality care enabled by strong PMH functions: accessible, comprehensive, patient- and family-centred continuous care that is responsive to a community's unique needs. Adhering to PMH principles not only improves patient experience, health outcomes and provider satisfaction but also leads to fewer unnecessary hospital admissions and emergency room visits - system savings and better use of public resources.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.005
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.027
GPT teacher head0.370
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueHealthcare QuarterlySame topicPrimary Care and Health OutcomesFrench-language works237,207