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Record W4403880329 · doi:10.2147/jmdh.s437850

An Innovative Preventive and Rehabilitative Model for Acute Care: The Independence Model

2024· article· en· W4403880329 on OpenAlexafffund
E.N. Naranjo, I Pillay, Sandra J Squire, Agnes Black, M. John Gill

Bibliographic record

VenueJournal of Multidisciplinary Healthcare · 2024
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsVancouver General HospitalUniversity of British Columbia HospitalUniversity of British ColumbiaProvidence Health Care
FundersProvidence Health Care
KeywordsIndependence (probability theory)MedicineComputer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

Purpose: The Independence Model (TIM) is a new rehabilitative model of care implemented in an acute care hospital to address patients' functional decline and a high vacancy rate for rehabilitation therapists. Methods: TIM was developed by a team with expertise in evidence, scope of practice and roles, population care needs, and current state related to rehabilitation. TIM utilizes rehabilitation assistants, supervised by physical therapists, occupational therapists or speech-language pathologists, to assist patients in functional areas such as ambulation, activities of daily living (ADLs), cognition and communication. The planning team ensured patient engagement, utilized change management principles, and evaluated the effectiveness of care. Results: Preliminary evaluation of TIM was positive, with staff reporting improved caseload quality and patients feeling more prepared for discharge. Conclusion: This study suggests innovative models of care, such as TIM, can help address the functional needs of patients while navigating the global health human resource crisis.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.109
GPT teacher head0.555
Teacher spread0.446 · 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 designQualitative
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
Published2024
Admission routes2
Has abstractyes

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