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Record W2796995741 · doi:10.1186/s13018-018-0782-5

Development of the Italian version of the High-Activity Arthroplasty Score (HAAS-I) following hip and knee total arthroplasty: cross-cultural adaptation, reliability, validity and sensitivity to change

2018· article· en· W2796995741 on OpenAlexaboutno aff
Marco Monticone, Antonio Capone, Luca Frigau, Giuseppe Marongiu, P Abelli, Francesco Molà, Nicola Maffulli, Calogero Foti

Bibliographic record

VenueJournal of Orthopaedic Surgery and Research · 2018
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsIntraclass correlationMedicineWOMACCronbach's alphaPhysical therapyConstruct validityArthroplastyReliability (semiconductor)OsteoarthritisOrthopedic surgeryMinimal clinically important differenceRating scalePsychometricsSurgeryPsychologyClinical psychologyRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: The number of physically active individuals who develop knee and hip arthritis and who undergo arthroplasties of these joints ie ever increasing. It has become necessary to develop evaluation scales which address the specific issues raised by such individuals. The High Activity Arthroplasty Score is one such scales, originally developed in English. METHODS: The HAAS-I was developed by means of forward-backward translation, a final review by an expert committee and a test of the pre-final version to establish its correspondence with the original English version. The psychometric testing included reliability by means of internal consistency (Cronbach's alpha) and test-retest reliability (intraclass correlation coefficients) and construct validity by Pearson's correlations with a pain intensity numerical rating scale (NRS), the Western Ontario and McMaster University index (WOMAC, for THA subjects), the Knee injury and Osteoarthritis Outcome Scale (KOOS; for TKA subjects) and the Short-Form 36 Health Survey (SF-36). RESULTS: The questionnaire was administered to 67 subjects with THA and 61 with TKA and proved to be acceptable. The questionnaire showed good internal consistency (0.85 for THA and 0.91 for TKA) and a high level of test-retest reliability (ICC = 0.97 with 95% CI 0.95-0.98 for THA; ICC = 0.95 with 95% CI 0.92-0.98 for TKA). There was a moderate correlation between the HAAS-I and NRS (r = - 0.40), there was a high correlation between the HAAS-I and WOMAC (r = - 0.68) and there were moderate to high correlations between the HAAS-I and SF-36 subscales (r = 0.34 to 0.63) for THA. There was a moderate correlation between the HAAS-I and NRS (r = - 0.77); there was a high correlation between the HAAS-I and KOOS subscales (r = - 0.79 to r = - 0.91); and there were low correlations between the HAAS-I and SF-36 subscales (r = 0.01 to 0.29) for TKA. CONCLUSIONS: The HAAS-I was successfully translated into Italian and proved to have good psychometric properties that replicated the results of existing versions. Its use is recommended for clinical and research purposes.

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)0.005
metaresearch head score (Gemma)0.003
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 score0.028
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.096
GPT teacher head0.350
Teacher spread0.254 · 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".

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Citations24
Published2018
Admission routes1
Has abstractyes

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