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Cross-cultural validation of the Italian Spine Youth Quality of Life questionnaire: the ISYQOL international

2023· article· en· W4376872639 on OpenAlexafffundabout
Stefano Négrini, Fabio Zaina, Ahsen Büyükaslan, Carole Fortin, Nikos Karavidas, Tomasz Kotwicki, Krzysztof Korbel, Éric Parent, Judith Sánchez‐Raya, Kathleen Shearer, Hürriyet Gürsel Yılmaz, Sabrina Donzelli, Antonio Caronni

Bibliographic record

VenueEuropean Journal of Physical and Rehabilitation Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversity of AlbertaUniversité de Montréal
FundersFonds de Recherche du Québec - SantéCentre hospitalier universitaire Sainte-JustineIstituto Auxologico ItalianoMinistero della Salute
KeywordsRasch modelDifferential item functioningQuality of life (healthcare)MedicineEquivalence (formal languages)Cross-cultural studiesScoliosisPsychometricsCross-culturalPopulationCross-sectional studyClinical psychologyItem response theoryPsychologyDevelopmental psychologyPsychiatrySocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Adolescent idiopathic scoliosis and its treatments can severely impact health-related quality of life. The Italian Spine Youth Quality of Life (ISYQOL) questionnaire, initially developed in Italian and tested on Italian people, was created to measure quality of life in young persons with spine changes. ISYQOL was created using the Rasch analysis, a modern psychometric technique for questionnaires' assessment and development, which showed that the ordinal scores of the ISYQOL Italian version provide sound quality of life measures. AIM: The current work aims to evaluate the cross-cultural equivalence of the ISYQOL questionnaire in seven different countries. DESIGN: Cross-sectional, international, multi-centre study. SETTING: Outpatient clinic. POPULATION: Five hundred fifty persons with adolescent idiopathic scoliosis from English Canada, French Canada, Greece, Italy, Spain, Poland, and Türkiye. METHODS: The ISYQOL Italian version was translated into six languages with the forward-backwards procedure. The conceptual equivalence of the items' content was verified, and any inconsistency was resolved by consensus. The Rasch analysis was used here to evaluate that ISYQOL translations retained the good measurement properties of the Italian version of the questionnaire. In addition, the Differential Item Functioning (DIF) was checked to assess the psychometric equivalence of the ISYQOL items in patients from different countries. RESULTS: Four items of the translated ISYQOL were dropped from the questionnaire since they did not contribute to measuring due to their poor fit to the model of Rasch. Seven items were affected by DIF for nationality, a finding pointing out that these items do not work the same (i.e. are not equivalent) in the different countries. Thanks to the Rasch analysis, the DIF for nationality was amended, and ISYQOL International was eventually obtained. CONCLUSIONS: ISYQOL International returns interval quality of life measures in people with adolescent idiopathic scoliosis with high cross-cultural equivalence in the tested countries. CLINICAL REHABILITATION IMPACT: Rigorous testing showed that ISYQOL International ordinal scores return quality of life measures cross-culturally equivalent in English and French Canada, Greece, Italy, Spain, Poland, and Türkiye. A new, psychometrically sound patient-reported outcome measure is thus available in rehabilitation medicine to measure health-related quality of life in idiopathic scoliosis.

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)0.009
metaresearch head score (Gemma)0.010
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 score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.368
Teacher spread0.326 · 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".

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Citations11
Published2023
Admission routes3
Has abstractyes

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