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Record W1481909423 · doi:10.1002/msc.1011

Physical Therapists' Management of Rheumatoid Arthritis: Results of a Dutch Survey

2012· article· en· W1481909423 on OpenAlexaff
Emalie Hurkmans, Linda Li, John Verhoef, T. P. M. Vliet Vlieland

Bibliographic record

VenueMusculoskeletal Care · 2012
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsArthritis Research Centre of CanadaUniversity of British Columbia
Fundersnot available
KeywordsMedicineRheumatoid arthritisPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: For tailored implementation of evidence-based recommendations and guidelines on physical therapy in patients with rheumatoid arthritis (RA), insight into current physical therapy practice is needed. METHOD: Two hundred and fifty general physical therapists and 211 specialized physical therapists with advanced arthritis training were sent a questionnaire to assess the frequency with which they applied a set of assessments (n = 10) and interventions (n = 7) included in a Dutch physical therapy guideline for RA. Differences between general and specialist physical therapists were analysed using Student's t-tests or chi-square tests where appropriate. RESULTS: In total, 233 physical therapists (51%) responded. Of these, 96 (41%) had completed an additional arthritis course and were designated as specialist physical therapists. Among the physical therapists who returned the questionnaire, 69% (or more) reported that they 'always' assessed limitations in daily functioning, pain, morning stiffness, muscle strength, joint range of motion, joint stability, gait and limitations in leisure activities as part of their initial assessment, and 37% and 48% reported 'always' to assess aerobic capacity and limitations in work situations, respectively. Concerning interventions, exercise therapy and education were 'always' applied by 70% and 68% of the responders, respectively. Only a minority of responders reported 'always' applying ultrasound, electrical stimulation, heat therapy, massage and passive mobilizations (0%, 0%, 5%, 5% and 14%, respectively). Apart from aerobic capacity and work limitations, all other assessments were reported as 'always' applied by significantly (p < 0.05) more specialist physical therapists than general physical therapists. Regarding interventions, significantly more specialist physical therapists reported that they 'always' applied exercise therapy and education. Significantly fewer specialist physical therapists than in the general group reported 'always' using heat therapy, massage and mobilizations (p < 0.05). CONCLUSION: The majority of physical therapists reported that they 'always' applied most of the assessments and interventions recommended in a Dutch physical therapy guideline for the management of RA. Areas for improvement include the assessment of aerobic capacity and work limitations. The observed differences between specialist and general physical therapists support the added value of advanced arthritis courses.

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)0.004
metaresearch head score (Gemma)0.009
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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.303
Teacher spread0.287 · 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

Citations12
Published2012
Admission routes1
Has abstractyes

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