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Record W2167607815 · doi:10.46743/1540-580x/2007.1171

Descriptive and process evaluation of a shared primary care program

2007· article· en· W2167607815 on OpenAlexaffabout
Evelyn Vingilis, Jann Paquette‐Warren, Nick Kates, Anne-Marie Crustolo, Jaimi Greenslade, Sharon Newman

Bibliographic record

VenueInternet Journal of Allied Health Sciences and Practice · 2007
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsSt. Joseph's Hospital
Fundersnot available
KeywordsMental healthNursingService (business)Descriptive researchProcess (computing)Health carePrimary careFocus groupProgram evaluationMedicineMedical educationPsychologyFamily medicineBusinessComputer sciencePsychiatryMarketingPolitical science

Abstract

fetched live from OpenAlex

Purpose: This study involved the conduct of a descriptive and process evaluation to examine the implementation and maintenance of an existing local shared care program: The Hamilton Health Service Organization Mental Health and Nutrition Program located in Hamilton, Ontario, Canada. The program was organized to strengthen links between mental health, nutrition, and primary care services, to improve access to mental health and nutrition care, and to realize the benefits of improved communication, collaboration and mutual support among multiple practitioners, increased continuity of care, and increased family physicians’ comfort and skill in handling more complex problems. Method: A mixed-method, multi-measures evaluation design was used. Data were gathered from the program’s central patient database and by conducting focus groups. Results: Teams of practitioners provide comprehensive primary mental health and nutrition care. Collaboration and education opportunities are extensive although time constraints are an issue. Patients with a range of problems were assessed, treated, and referred among team members. There appears to be a decreased burden on external services. Conclusions & Discussion: This evaluation suggests that implementation and maintenance of shared care programs are possible within community practices.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.118
GPT teacher head0.470
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations18
Published2007
Admission routes2
Has abstractyes

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