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Record W3024689851 · doi:10.3138/ptc-2019-0068

Knee Osteoarthritis: An Investigation into the Clinical Practice of Physiotherapists in Canada

2020· article· en· W3024689851 on OpenAlexaffvenueabout
Brenda J. Tittlemier, Kristy Wittmeier, David Robinson, Sandra C. Webber

Bibliographic record

VenuePhysiotherapy Canada · 2020
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsMedicinePhysical therapyPsychological interventionOsteoarthritisClinical PracticeAlternative medicineNursing

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study was to establish the clinical practice of physiotherapists who treat people with knee osteoarthritis (OA) in Canada and examine their knowledge, awareness, use of, and attitudes toward clinical practice guidelines (CPGs). Method: We conducted a cross-sectional survey of physiotherapists who are licensed to practise in Canada and who treat people with knee OA. Results: A total of 388 physiotherapists completed our survey. Approximately two-thirds of them (271) were aware of CPGs. Out of all CPG recommendations, most respondents provided leg strengthening exercises (380) and education (364). More than 80% believed that CPGs improved patient care and enhanced decision making and were confident in their ability to interpret CPGs. More physiotherapists (204) identified barriers to the use of CPGs than facilitators of their use (117). Physiotherapists who were employed in private practice were substantially more likely to use interventions such as acupuncture (odds ratio [OR] 5.98; 95% CI: 2.92, 12.23; p < 0.01) and joint mobilization and manipulation (OR 6.58; 95% CI: 3.45, 12.55; p < 0.01) than were physiotherapists employed in hospital settings. Conclusions: Two-thirds of respondents were aware of CPGs. Physiotherapists provided education and leg strengthening exercises more often than aerobic exercise and weight management advice. Physiotherapists employed in private practice were more likely to use adjunct interventions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.091
GPT teacher head0.441
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 designOther design
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

Citations15
Published2020
Admission routes3
Has abstractyes

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