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Record W2227627230 · doi:10.3138/ptc.2014-45

Length of Stay and Achievement of Functional Milestones in a Rural First Nations Population in Northwestern Ontario during Acute-Care Admission after Total Hip Replacement: A Retrospective Chart Review

2015· article· en· W2227627230 on OpenAlexaffvenueabout
Cameal Sinclair, Nicole Brunton, Wilma M. Hopman, Len Kelly

Bibliographic record

VenuePhysiotherapy Canada · 2015
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsNOSM UniversityKingston General HospitalQueen's University
Fundersnot available
KeywordsMedicineRehabilitationAcute careHealth carePopulationPhysical therapyEnvironmental health

Abstract

fetched live from OpenAlex

PURPOSE: To understand the postoperative acute-care physiotherapy course for First Nations people returning after total hip replacement (THR) to remote communities with limited rehabilitation services and to evaluate length of stay and attainment of functional milestones after THR to determine to what extent an urban-based clinical pathway is transferrable to and effective for First Nations patients in a rural setting. METHODS: Data were collected retrospectively by reviewing charts of patients who underwent THR in the Northwest Ontario catchment area from 2007 through 2012. RESULTS: For the 36 patient charts reviewed, median length of stay (LOS) at the Sioux Lookout Meno Ya Win Health Centre (SLMHC) was 7.5 days (range 2-335); median LOS from time of surgery at the regional hospital (Thunder Bay Regional Health Centre) to discharge from SLMHC was 13.5 days; and median time for mobilizing and stairs was 9 days (range 1-93). CONCLUSION: Commonly accepted urban clinical pathways are not a good fit for smaller rural hospitals from which First Nations patients return to remote communities without rehabilitation services. LOS in a rural acute-care facility is similar to LOS in an urban rehabilitation facility.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.253
Teacher spread0.244 · 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

Citations0
Published2015
Admission routes3
Has abstractyes

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