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Record W2615312932 · doi:10.1016/j.jses.2017.02.003

Validity of a shoulder-specific quality of life questionnaire, the Western Ontario Rotator Cuff Index, for patients with scapula alata

2017· article· en· W2615312932 on OpenAlexaboutno aff
Janne Gadsboell, Sigrid Tibæk

Bibliographic record

VenueJSES Open Access · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesRigshospitalet
KeywordsRotator cuffScapulaMedicineIndex (typography)Quality of life (healthcare)Physical therapySurgeryComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: No validated shoulder-specific quality of life measurements exist for patients with scapula alata (SA). The objective was to investigate the content validity of the Western Ontario Rotator Cuff (WORC) Index for SA patients. METHODS: Content validity was evaluated by an expert panel of medical doctors and physiotherapists (n = 6) and a sample of SA patients (n = 44). The Content Validity Index (CVI) and a modified kappa index (κ*) assessed the relevance of WORC Index. RESULTS: The experts evaluated ten of 21 items as excellent for content validity (I-CVI > 0.78, κ* > 0.74), five items as fair (I-CVI < 0.78, 0.40 < κ* < 0.60), and six were considered content invalid (I-CVI < 0.78, κ* < 0.40). The average scale (S-CVI/Ave) for the entire WORC Index was 0.72.The SA patients evaluated four of 21 items as excellent for content validity (I-CVI > 0.78, κ* > 0.74), nine items as good (I-CVI < 0.78, 0.60 > κ* < 0.74), six as fair (I-CVI < 0.78, 0.40 < κ* < 0.59) and two were considered content invalid (I-CVI < 0.78, κ* < 0.40). The S-CVI/Ave was 0.56. CONCLUSION: This study is the first step evaluating content validity in the WORC Index for SA patients. The results indicated that half of the 21 items had excellent or good content validity. Several items need to be discussed by an SA team aiming to find consensus for changing or removing, leaving the possibility to develop a new quality of life measure, the first for SA patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.190
GPT teacher head0.450
Teacher spread0.259 · 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 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

Citations8
Published2017
Admission routes1
Has abstractyes

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