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Record W27262714 · doi:10.1007/s00296-016-3505-4

St. Patrick's celebration

2010· article· en· W27262714 on OpenAlexaboutno aff
Martin Hayes, Dennis Cahill, Aine Meenaghan, Timothy O'Grady

Bibliographic record

VenueRheumatology International · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth Services Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

HOOS was developed as an extension of the Western Ontario and McMaster Universities' Osteoarthritis Index questionnaire for measuring symptoms and functional limitations related to the hip(s) of patients with osteoarthritis. To determine the validity and reliability of the Thai version of the Hip disability and Osteoarthritis Outcome Score (HOOS) vis-à-vis hip osteoarthritis, the original HOOS was translated into a Thai version of HOOS, according to international recommendations. Patients with hip osteoarthritis (n = 57; 25 males) were asked to complete the Thai version of HOOS twice: once then again after a 3-week interval. The test-retest reliability was analyzed using the intraclass correlation coefficient (ICC). Internal consistencies were analyzed using Cronbach's alpha, while the construct validity was tested by comparing the Thai HOOS with the Thai modified SF-36 and calculating the Spearman's rank correlation coefficients. The Thai HOOS produced good reliability (i.e., the ICC was greater than 0.9 in all five subscales). All of the Cronbach's alpha showed that the Thai HOOS had high internal consistency (Cronbach's alpha greater than 0.8), especially for the pain and ADL subscales (0.89 and 0.90, respectively). The Spearman's rank correlation for all five subscales of the Thai HOOS had moderate correlation with the Bodily Pain subscale of the Thai SF-36. The pain subscale of the Thai HOOS had a high correlation with the Vitality and Social Function subscales of the Thai SF-36 (r = 0.55 and 0.54)-with which the symptom subscale had a moderate correlation. The Thai version of HOOS had excellent internal consistency, excellent test-retest reliability, and good construct validity. It can be used as a reliable tool for assessing quality of life for patients with hip osteoarthritis in Thailand.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.997

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.004

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 head0.025
GPT teacher head0.423
Teacher spread0.398 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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