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Record W2047404059 · doi:10.3109/13561820.2014.917404

Experiences from an interprofessional student-assisted chronic disease clinic

2014· article· en· W2047404059 on OpenAlexaff
Kerrie‐Anne Frakes, Sharon Brownie, Lauren Davies, Janelle Thomas, Mary‐Ellen Miller, Zephanie Tyack

Bibliographic record

VenueJournal of Interprofessional Care · 2014
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMiller Group (Canada)
FundersQueensland Health
KeywordsPodiatryWorkforceGeneral partnershipMedicineNursingSocial workMedical educationService delivery frameworkInterprofessional educationPharmacyService (business)Intervention (counseling)Workforce developmentOccupational therapyFamily medicineHealth carePhysical therapyAlternative medicine

Abstract

fetched live from OpenAlex

Faced with significant health and workforce challenges in the region, the Central Queensland Health Service District (CQHSD) commenced a student-assisted clinical service. The Capricornia Allied Health Partnership (CAHP) is an interprofessional clinical placement program in which pre-entry students from exercise physiology, nutrition and dietetics, occupational therapy, pharmacy, podiatry and social work are embedded in a collaborative chronic disease service delivery model. The model coordinates multiple student clinical placements to: address service delivery gaps for previously underserved people with chronic disease in need of early intervention and management; provide an attractive clinical placement opportunity for students that will potentially lead to future recruitment success, and demonstrate leadership in developing future health workforce trainees to attain appropriate levels of interprofessional capacity. The CAHP clinic commenced student placements and client services in February 2010. This report provides early evaluative information regarding student experiences included self-reported changes in practice.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.032
GPT teacher head0.492
Teacher spread0.460 · 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.

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

Citations30
Published2014
Admission routes1
Has abstractyes

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