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Record W7045223874

Adaptação cultural e validação da versão portuguesa do Western Ontario Shoulder Instability Index (WOSI)

2022· article· en· W7045223874 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Repository of the Polytechnic Institute of Porto (Polytechnic Institute of Porto) · 2022
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsIntraclass correlationReliability (semiconductor)Internal consistencyConstruct validityPopulationQuality of life (healthcare)PortugueseBrazilian Portuguese
DOInot available

Abstract

fetched live from OpenAlex

The Western Ontario Shoulder Instability Index (WOSI) is a self-administered questionnaire specifically used to determine the impact of shoulder instability on quality of life. The aim of this study was to translate the WOSI into European Portuguese and analyze its validity and reliability in a population with shoulder instability. The WOSI was translated and culturally adapted from its original version into European Portuguese (WOSIPT). Internal consistency and test-retest analyses were conducted to determine the level of reliability of the scale. WOSI-PT, QuickDASH, and SF-12 questionnaires were applied to 81 patients with symptomatic shoulder instability to assess validity, and reliability was tested by randomly selecting 50 patients within 72 hours using a test-retest design. The reliability of the WOSI-PT was very high, with Cronbach´s alpha equal to 0.97 and an intraclass correlation coefficient of 0.98. Regarding the construct validity, the correlation between the WOSI-PT and QuickDASH was high and negative (-0.79). The correlations between WOSI-PT and SF-12 were positive, respectively, moderate with physical (0.66) and low with mental (0.34) health. WOSI-PT is a reliable and valid instrument for assessing the functional impact of shoulder joint instability on quality of life.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.006
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.002
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 head0.041
GPT teacher head0.293
Teacher spread0.252 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Scientific Repository of the Polytechnic Institute of Porto (Polytechnic Institute of Porto)Same topicShoulder Injury and TreatmentFrench-language works237,207