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Record W2158724823 · doi:10.3138/physio.62.3.215

Physical Therapy Management for Adult Patients Undergoing Cardiac Surgery: A Canadian Practice Survey

2010· article· en· W2158724823 on OpenAlexafffundvenueabout
Tom J. Overend, Cathy M. Anderson, Jennifer Jackson, S. Deborah Lucy, Monique Prendergast, Susanne Sinclair

Bibliographic record

VenuePhysiotherapy Canada · 2010
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsLondon Health Sciences CentreWestern University
FundersLondon Health Sciences Centre
KeywordsCardiorespiratory fitnessMedicinePhysical therapy

Abstract

fetched live from OpenAlex

PURPOSE: To determine current Canadian physical therapy practice for adult patients requiring routine care following cardiac surgery. METHODS: A telephone survey was conducted of a selected sample (n=18) of Canadian hospitals performing cardiac surgery to determine cardiorespiratory care, mobility, exercises, and education provided to patients undergoing cardiac surgery. RESULTS: An average of 21 cardiac surgeries per week (range: 6-42) were performed, with an average length of stay of 6.4 days (range: 4.0-10.6). Patients were seen preoperatively at 7 of 18 sites and on postoperative day 1 (POD-1) at 16 of 18 sites. On POD-1, 16 sites performed deep breathing and coughing, 7 used incentive spirometers, 13 did upper-extremity exercises, and 12 did lower-extremity exercises. Nine sites provided cardiorespiratory treatment on POD-3. On POD-1, patients were dangled at 17 sites and mobilized out of bed at 13. By POD-3, patients ambulated 50-120 m per session 2-5 times per day. Sternal precautions were variable, but the lifting limit was reported as ranging between 5 lb and 10 lb. CONCLUSIONS: Canadian physical therapists reported the provision of cardiorespiratory treatment after POD-1. According to current available evidence, this level of care may be unnecessary for uncomplicated patients following cardiac surgery. In addition, some sites provide cardiorespiratory treatment techniques that are not supported by evidence in the literature. Further research is required.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.320
Teacher spread0.307 · 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 designNot applicable
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

Citations48
Published2010
Admission routes4
Has abstractyes

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