The FIT-HaNSA Demonstrates Reliability and Convergent Validity of Functional Performance in Patients With Shoulder Disorders
Bibliographic record
Abstract
STUDY DESIGN: Psychometric study design. OBJECTIVES: To assess the test-retest reliability and convergent validity of the Functional Impairment Test-Hand and Neck/Shoulder/Arm (FIT-HaNSA) in patients with shoulder disorders. BACKGROUND: Performance tests that assess functional ability of patients with shoulder disorders can provide useful information for making clinical or return-to-activity decisions. No performance-based shoulder test has yet demonstrated sufficient relevance or clinical measurement properties. The FIT-HaNSA examines upper extremity performance during repetitive tasks that emphasize shoulder reaching and static postures and, therefore, has greater relevance for assessing performance. METHODS: Thirty-six patients with shoulder disorders and 65 healthy controls were recruited for the study. The FIT-HaNSA, the Disabilities of the Arm, Shoulder and Hand questionnaire, the Shoulder Pain and Disability Index, isometric shoulder strength, and shoulder range of motion were assessed at baseline and repeated 2 to 7 days later. Test-retest reliability was described using intraclass correlation coefficient (ICC(2,1)) and standard error of measurement. Pearson correlation coefficients were used to examine the level of association between the FIT-HaNSA scores and the other measures. RESULTS: The ICCs for test-retest reliability for the FIT-HaNSA ranged from 0.89 to 0.97 in the patient group and 0.79 to 0.91 in the control group. The FIT-HaNSA showed high correlation with the Disabilities of the Arm, Shoulder and Hand and the Shoulder Pain and Disability Index, and moderate correlations with shoulder range of motion and muscle strength. CONCLUSION: The FIT-HaNSA demonstrated high test-retest reliability and convergent validity with other related outcomes in patients with shoulder disorders. Further longitudinal studies are required to evaluate the responsiveness of the FIT-HaNSA in patients with different upper extremity conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".