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Record W2065456117 · doi:10.7870/cjcmh-2013-022

Reversed Shared Care in Mental Health: Bringing Primary Physical Health Care to Psychiatric Patients

2013· article· en· W2065456117 on OpenAlexaffvenue
Thomas Ungar, Stuart L. Goldman, Madalyn Marcus

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsMental healthDemographicsPrimary careMedicineComorbidityCollaborative CareHealth careNursingService (business)Physical healthDescriptive researchFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Because of the significant comorbidity between mental and physical health conditions, it is imperative that access to high-quality primary physical health care be available for those with severe mental illnesses. Recognizing a gap in care, North York General Hospital (NYGH) developed and piloted a new service that built on the benefits of collaborative and shared care and the importance of co-location and service integration. In this reversed shared care clinic, access to primary physical health care was provided to patients of NYGH 's mental health department. Descriptive findings demonstrate the implementation of the service and patient demographics.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.035
GPT teacher head0.388
Teacher spread0.352 · 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 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

Citations11
Published2013
Admission routes2
Has abstractyes

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