MétaCan
Menu
Back to cohort
Record W3025788230 · doi:10.1097/jac.0000000000000332

The Collaborative Care Model for Patients With Both Mental Health and Medical Conditions Implemented in Hospital Outpatient Care Settings

2020· article· en· W3025788230 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.

Bibliographic record

VenueJournal of Ambulatory Care Management · 2020
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsTrillium Health Centre
Fundersnot available
KeywordsAmbulatory careMedicineCollaborative CareHealth careNursingIntegrated careMental healthOutpatient clinicInpatient carePrimary careFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

With the increased concern regarding the negative impact that care in silos has on patients and the health care system, there is growing interest in integrated models of care especially for individuals with co-occurring physical and mental health conditions. Although generally applied in a community setting, we adapted and implemented an evidence-based integrated model of care, the collaborative care model (CCM) in an adult and a pediatric hospital-based outpatient clinic. Enrolment was criteria based and management was measurement driven. The model is team based and consists of new roles for its members including the patient, the care manager, the primary care clinician, and the psychiatric consultant. A key role was that of the care manager who worked with the patient and engaged primary care. The care manager also organized team-based treatment planning in systematic case reviews that contributed to the care plan. Support for training of the new and changes in roles is underscored. In this communication we comment on our initial experience of applying the CCM to the hospital outpatient setting.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.292
Teacher spread0.285 · 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