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Record W1983359877 · doi:10.7453/gahmj.2013.097cp.s29b

29B. Enhancing Primary Healthcare Delivery in the Inner City through Interprofessional Team-based Care

2013· article· en· W1983359877 on OpenAlexaffabout
Deborah Kopansky-Giles, Fok‐Han Leung

Bibliographic record

VenueGlobal Advances in Health and Medicine · 2013
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsCanadian Memorial Chiropractic CollegeSt. Michael's Hospital
Fundersnot available
KeywordsHealthcare deliveryPrimary careHealth careHealth care deliveryPrimary health careNursingMedicinePsychologyFamily medicinePolitical science

Abstract

fetched live from OpenAlex

Focus Area: Sustainable Business Models This session will describe the evolution of an integrative model of primary healthcare delivery within a hospital-based setting. Over the past decade, the Academic Family Health Team (AFHT) in the Department of Family and Community Medicine at St Michael's Hospital in Toronto has been in the business of transforming primary healthcare. The AFHT provides services to the inner-city community of Toronto through 5 clinical sites located conveniently in the downtown east core. Our model of care incorporates patient- and family-centered values; interprofessional collaboration; and accessible evidence-based care and research. Evaluation of our efforts has proved emancipating for both clinicians and patients—with the delivery of integrative healthcare services, improved coordination of care, enhanced patient outcomes and satisfaction, improved quality of work life for our health professional team, and patient/family empowerment in self-help strategies. This model of care was identified by the Council of the Federation Health Care Innovation Working Group as one of 4 innovative models of primary care delivery to be emulated in Canada. The session will describe our experiences in building our integrative healthcare team. Facilitators and barriers to the development of successful integrative models of primary care will be described. Specific strategies that have facilitated success in our experience also will be shared.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.443
Teacher spread0.419 · 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 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

Citations0
Published2013
Admission routes2
Has abstractyes

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