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Effectiveness of Client-Centered Occupational Therapy in Patients With Rheumatoid Arthritis: Exploratory Randomized Controlled Trial

2016· article· en· W2307861249 on OpenAlexaboutno aff
Eda Tonga

Bibliographic record

VenueArchives of Rheumatology · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRheumatoid arthritisPhysical therapyOccupational therapyQuality of life (healthcare)Randomized controlled trialPsychological interventionIntervention (counseling)McGill Pain QuestionnaireInternal medicineNursingVisual analogue scale

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aims to examine the effectiveness of client-centered occupational therapy in patients with rheumatoid arthritis (RA). PATIENTS AND METHODS: The study included 40 patients (2 males, 38 females; range 39 to 60 years) with RA. Patients were divided into two groups as intervention group (n=20) and control group (n=20) by random sampling method. Each group was given 10 sessions of physical therapy program. In addition, the intervention group received client-centered occupational therapy. Patients were evaluated with Turkish versions of Short-Form McGill Pain Questionnaire, Health Assessment Questionnaire, The Arthritis Impact Measurement Scales 2, RA Quality of Life Questionnaire, and Canadian Occupational Performance Measurement. RESULTS: Pain, activity limitation, and participation restriction scores decreased significantly more in the intervention group compared to the control group. Also, quality of life increased significantly in the intervention group (p<0.05). CONCLUSION: Our findings suggest that occupational therapy intervention reduces activity limitation and participation restrictions in patients with RA. Therefore, such interventions may be generalized for this patient group.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.035
GPT teacher head0.370
Teacher spread0.335 · 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 designRandomized trial
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

Citations13
Published2016
Admission routes1
Has abstractyes

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