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Record W4409719079 · doi:10.1016/j.jht.2025.02.004

Psychometric evaluation of the Hamilton Inventory to evaluate signs and symptoms in patients with Complex Regional Pain Syndrome (CRPS)

2025· article· en· W4409719079 on OpenAlexaff
Maryam Farzad, Tara Packham, Joy C. MacDermid, Fatemeh Mohammadi, Seyed Ali Hosseini, Reza Shahryar Kamrani, Hooman Shariatzadeh, Ali Koushan, Seyed Hadi Kalantar, Enayatollah Bakhshi

Bibliographic record

VenueJournal of Hand Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsSt Joseph's Health CentreWestern UniversityMcMaster UniversitySt Joseph's Health Care
Fundersnot available
KeywordsComplex regional pain syndromePhysical therapyMedicinePhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

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.

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)0.000
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 score0.045
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.051
GPT teacher head0.320
Teacher spread0.269 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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