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Record W1945147345 · doi:10.5334/ijic.1069

Supporting frail seniors through a family physician and Home Health integrated care model in Fraser Health

2014· article· en· W1945147345 on OpenAlexaffabout
Grace Haeson Park, Diane Miller, George Tien, Irene Sheppard

Bibliographic record

VenueInternational Journal of Integrated Care · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsFraser Health
Fundersnot available
KeywordsMedical homeGeneral partnershipHealth careMedicineNursingIntegrated careCommunity healthPopulationFamily medicineGerontologyPublic healthPrimary careBusinessEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: A major effort is underway to integrate primary and community care in Canada's western province of British Columbia and in Fraser Health, its largest health authority. Integrated care is a critical component of Fraser Health's planning, to meet the challenges of caring for a growing, elderly population that is presenting more complex and chronic medical conditions. DESCRIPTION OF INTEGRATED PRACTICE: An integrated care model partners family physicians with community-based home health case managers to support frail elderly patients who live at home. It is resulting in faster response times to patient needs, more informed assessments of a patient's state of health and pro-active identification of emerging patient issues. EARLY RESULTS: The model is intended to improve the quality of patient care and maintain the patients' health status, to help them live at home confidently and safely, as long as possible. Preliminary pilot data measuring changes in home care services is showing positive trends when it comes to extending the length of a person's survival/tenure in the community (living in their home vs. admitted to residential care or deceased). CONCLUSION: Fraser Health's case manager-general practitioner partnership model is showing promising results including higher quality, appropriate, coordinated and efficient care; improved patient, caregiver and physician interactions with the system; improved health and prevention of acute care visits by senior adult patients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.026
GPT teacher head0.395
Teacher spread0.369 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2014
Admission routes2
Has abstractyes

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