Psychometric evaluation of the Hamilton Inventory to evaluate signs and symptoms in patients with Complex Regional Pain Syndrome (CRPS)
Bibliographic record
Abstract
BACKGROUND: Complex Regional Pain Syndrome (CRPS) is a debilitating condition with profound physical and psychological impacts, necessitating comprehensive assessment tools for effective evaluation. PURPOSE: This study aimed to validate the Persian version of the Hamilton Inventory for Complex Regional Pain Syndrome (HI-CRPS) and assess its reliability and validity in individuals diagnosed with CRPS. STUDY DESIGN: A cross-sectional clinical measurement study evaluated the Persian version of HI-CRPS. METHODS: A sample of 64 individuals diagnosed with CRPS from pain and hand surgeon clinics completed the Persian versions of the patient-reported (PR-HI-CRPS) and clinicians based (CB-HI-CRPS). Test-retest reliability was assessed after 1 week, and responsiveness was measured after 3 months. Baseline scores, ceiling effects, internal consistency (Cronbach's alpha), and construct validity (correlations with related measures) were examined. Effect sizes and standardized response means (SRM) were calculated to gauge responsiveness. RESULTS: Baseline scores for PR-HI-CRPS and CB-HI-CRPS were 77.8 and 14.9, respectively. Around 18% of PR-HI-CRPS and 16% of CB-HI-CRPS respondents exhibited ceiling effects. Internal consistency for PR-HI-CRPS (Cronbach's alpha: 0.71-0.91) and CB-HI-CRPS (alpha: 0.90) was satisfactory. PR-HI-CRPS (ICC: 0.86) and CB-HI-CRPS (ICC: 0.97) showed robust test-retest reliability. Construct validity was confirmed by significant correlations between PR-HI-CRPS subscales and related measures (p < 0.01). Structural validity was confirmed by confirmatory factor analysis. PR-HI-CRPS displayed an effect size of 0.79 and a standardized response mean (SRM) of 0.88. CONCLUSIONS: The Persian version of the HI-CRPS demonstrated satisfactory internal consistency, test-retest reliability, construct validity, and responsiveness. It can be relied upon to assess CRPS symptoms, functional limitations, and psychosocial impacts.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".