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Record W2147670206 · doi:10.1177/2325967114s00105

The Minimal Clinical Important Difference (MCID) And Patient Acceptable Symptomatic State (PASS) For The Modified Harris Hip Score And Hip Outcome Score Among Patients Undergoing Surgical Treatment For Femoroacetabular Impingement

2014· article· en· W2147670206 on OpenAlexaff
Jaskarndip Chahal, Geoffrey S. Van Thiel, Richard C. Mather, Simon Lee, Michael J. Salata, Shane J. Nho

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineMinimal clinically important differenceFemoroacetabular impingementHip arthroscopyPercentileSurgeryReceiver operating characteristicHarris Hip ScoreProspective cohort studyPhysical therapyCohortPopulationArthroscopyRandomized controlled trialArthroplastyInternal medicine

Abstract

fetched live from OpenAlex

Objectives: The objective of this study was to determine the minimal clinical important difference (MCID) and patient acceptable symptomatic state (PASS) for the modified Harris Hip Score (mHHS) and Hip Outcome Score (HOS) in a population of patients with femoroacetabular impingement treated with arthroscopic surgery of the hip. Methods: We conducted a prospective cohort study at a single centre in a consecutive series of patients with femoroacetabular impingement who were treated with arthroscopic labral repair/re-fixation and femoral osteoplasty. The mHHS and HOS were administered at baseline and at 3, 6, and 12 months post-operatively. Using external anchor questions at the aforementioned post-operative time points, the approach outlined by Juniper et al. was used to determine the MCID, whereas the specific anchor question designed by Tubach was used to determine the PASS. A receiver-operator curve was constructed and used to determine the cuff off point which optimally defined the MCID based on sensitivity and specificity values for each observed change score. The PASS was defined as the 75th percentile of the final mHHS score or HOS subscale scores for patients who considered their state satisfactory. We also stratified the analysis according whether baseline scores influenced the likelihood of achieving the MCID and PASS and odds ratios (OR) were also calculated. Results: There were 130 patients with a mean age of 35.6 (sd 11.7) years and 42.3% were male. The MCID for the mHHS at 3, 6, and 12 months was 13.0, 9.0, and 20.0, respectively. For the HOS (ADL), the MCID was 14.7, 15.0, and 23.0 at 3, 6, and 12 months. For the HOS (Sports), MCID values at 3, 6, and 12 months were 25, 28, and 47. In regards to the PASS, the observed values at 1 year following surgery were as follows: mHHS 84, HOS (ADL) 98, HOS (Sport) 94. The high values observed for the PASS across the different subscales suggests a high proportion of ceiling effects with the mHHS and HOS in this population. The MCID was significantly greater at 1 year for patients with an initial ‘low’ baseline score compared to patients with a ‘high’ baseline score. The PASS was not affected by baseline scores across different instruments. Patients with lower baseline scores were less likely to achieve the MCID one year following surgical intervention [mHHS - OR 0.28; HOS (ADL) - OR 0.23; HOS (Sports) - OR 0.06] yet more likely to achieve the PASS [mHHS - OR 3.36; HOS (ADL) - OR 3.83; HOS (Sports) - OR 3.38). There was a significant negative correlation between increasing age and the ability to obtain a mHHS or HOS above the PASS threshold (p<0.05). Age and sex were not significantly related to the odds of achieving the MCID for the mHHS or HOS. Conclusion: This is the first study in the literature to determine the MCID and PASS for two commonly used hip-joint specific patient-reported outcome measures in patients undergoing arthroscopic hip surgery for FAI. Our findings will allow researchers to determine if interventions related to FAI are meaningful to patients at the individual level across various domains and will also be useful for power calculations in future randomized trials related to hip arthroscopy and the treatment of FAI.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.255
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.039
GPT teacher head0.307
Teacher spread0.268 · 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

Citations83
Published2014
Admission routes1
Has abstractyes

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