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Record W2522339208 · doi:10.3138/ptc.2015-72

Low Back Pain: Current Patterns of Canadian Physiotherapy Service Delivery

2016· article· en· W2522339208 on OpenAlexafffundvenueabout
Tatiana Orozco, Debbie Feldman, Barbara Mazer, Gevorg Chilingaryan, Matthew Hunt, Bryn Williams–Jones, Maude Laliberté

Bibliographic record

VenuePhysiotherapy Canada · 2016
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcGill UniversityUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersCanadian Institutes of Health Research
KeywordsPhysical therapyPhysical medicine and rehabilitationMedicineService delivery frameworkService (business)Current (fluid)Low back painNursingAlternative medicineBusinessEngineering

Abstract

fetched live from OpenAlex

Purpose: The aim of this study was to describe the current patterns of service delivery of Canadian physiotherapy (PT) professionals working in adult musculoskeletal (MSK) outpatient practice. Methods: A total of 846 Canadian PT professionals working with an adult MSK outpatient clientele participated in an online survey about how they would treat a patient with low back pain (LBP). After reading an online clinical vignette about a fictional patient with varying insurance status, participants answered questions about how they would treat the patient (e.g., wait time, frequency and duration of treatment, time allotted for initial evaluation and treatment), about their actual practice (e.g., number of patients seen per day), and about their work setting. Results: The vignette patients with LBP would typically be seen within 2 weeks, especially in private practice, and most would receive care 2–3 times per week for 1–3 months. Initial evaluations and subsequent treatments would take 31–60 minutes. Two-thirds of participants reported treating 6–15 patients a day in their current practice setting. Differences were found between provinces and territories (with the longest wait time in Quebec), practice settings (with a longer wait time in the public sector), and insurance status (patients covered by workers' compensation are seen more frequently). Conclusion: This study adds to our knowledge of the accessibility of outpatient MSK PT services for patients with LBP in Canada, and it points to potential areas for improvement.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.257
Teacher spread0.248 · 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 designBench or experimental
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

Citations23
Published2016
Admission routes4
Has abstractyes

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