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Record W2928045312 · doi:10.2106/jbjs.18.00185

Psychometric Properties of Patient-Reported Outcome Measures for Periacetabular Osteotomy

2019· article· en· W2928045312 on OpenAlexaboutno aff
Marcin Waśko, Elizabeth L. Yanik, Cecilia Pascual‐Garrido, John C. Clohisy

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsnot available
FundersKosciuszko Foundation
KeywordsMedicinePhysical therapyWOMACOsteoarthritisPatient-reported outcomeQuality of life (healthcare)Hip surgeryPopulationCeiling effectCronbach's alphaMinimal clinically important differenceInterquartile rangeArthroplastyPsychometricsSurgeryRandomized controlled trialClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Appropriate patient-reported outcome measures are paramount to determine the clinical relevance of change experienced by patients after a surgical procedure. The purpose of this study was to evaluate the psychometric properties of 3 patient-reported outcome measures (Hip disability and Osteoarthritis Outcome Score [HOOS], modified Harris hip score, and Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]) in a large population of patients treated with periacetabular osteotomy for symptomatic developmental dysplasia of the hip. METHODS: Patients who underwent a periacetabular osteotomy for acetabular dysplasia between October 2011 and October 2016 completed multiple questionnaires preoperatively and at the 1-year follow-up. Internal consistency for subscores was evaluated with the Cronbach alpha. Validity was assessed against the Short Form-12. Interpretability included the calculation of the distribution of scores, floor and ceiling effects, and the minimal clinically important difference. Responsiveness was assessed by correlating the score changes with the Global Perceived Effect score. RESULTS: Of 294 patients, 246 (84%) were female. The median age was 21 years (interquartile range, 17 to 29 years). All WOMAC and HOOS subscores demonstrated adequate internal consistency, and none of the modified Harris hip score components did. All scores except the WOMAC stiffness score exhibited adequate validity and interpretability, with no floor and ceiling effects over 15%. For the HOOS subscores, the minimal clinically important difference was 10.3 for pain, 10.2 for symptoms, 12.6 for sports and recreation, 11.2 for quality of life, and 10.8 for activities of daily living. The minimal clinically important difference for the modified Harris hip score was 7.4. For the WOMAC subscores, the minimal clinically important difference was 10.8 for pain, 12.9 for stiffness, 10.8 for physical, and 10.4 for total. All scores demonstrated adequate responsiveness. CONCLUSIONS: The HOOS, WOMAC, and modified Harris hip score have adequate psychometric properties for use in patients undergoing periacetabular osteotomy, with minor shortcomings. Among the scores analyzed, the HOOS appears to be the most appropriate measure of patient-reported outcome in patients undergoing periacetabular osteotomy. CLINICAL RELEVANCE: By establishing the psychometric properties of patient-reported outcome measures for periacetabular osteotomy, this study enables a more informed choice of measures for clinical practice and research. The estimated minimal clinically important difference values will facilitate understanding the importance of change in patient-reported outcomes after a surgical procedure in a clinical setting and sample size calculation for further studies.

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)0.001
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 score0.029
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.064
GPT teacher head0.273
Teacher spread0.209 · 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

Citations52
Published2019
Admission routes1
Has abstractyes

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