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Record W2153256415

Interprofessional and integrated care of the elderly in a family health team.

2012· article· en· W2153256415 on OpenAlexaff
Ainsley Moore, Christopher Patterson, Joy White, Shelly T. House, John J. Riva, Kalpana Nair, Allison Brown, Amjed Kadhim-Saleh, David J. McCann

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPharmacistReferralMedicineNursingMultidisciplinary approachCollaborative CareInterprofessional educationNurse practitionersHealth careGeriatricsMultidisciplinary teamFamily medicinePopulationPharmacyPrimary care
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM ADDRESSED: Family physicians provide most of the care for the frail elderly population, but many challenges and barriers can lead to difficulties with fragmented, ineffective, and inefficient services. OBJECTIVE OF PROGRAM: To improve the quality, efficiency, and coordination of care for the frail elderly living in the community and to enhance geriatric and interprofessional skills for providers and learners. PROGRAM DESCRIPTION: The Seniors Collaborative Care Program used an interprofessional, shared-care, geriatric model. The feasibility of the program was evaluated through a pilot study conducted between November 2008 and June 2009 at Stonechurch Family Health Centre, part of the McMaster Family Health Team. The core team comprised a nurse practitioner, an FP, and a registered practical nurse. Additional team members included a pharmacist, a dietitian, a social worker, and a visiting geriatrician. Twenty-five seniors were evaluated through the pilot program. Patients were assessed within 5 weeks of initial contact. Patients and practitioners valued timely, accessible, preventive, and multidisciplinary aspects of care. The nurse practitioner's role was prominent in the program, while the geriatrician's clinical role was focused efficiently. CONCLUSION: The family health team is ideally positioned to deliver shared care for the frail elderly. Our model allowed for a short referral time and easy access, which might allow seniors to remain in their environment of choice.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.385
Teacher spread0.351 · 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

Citations47
Published2012
Admission routes1
Has abstractyes

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