Rasch model-based testing of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire–Chemotherapy-Induced Peripheral Neuropathy (QLQ-CIPN20) using Alliance for Clinical Trials in Oncology (Alliance) A151408 study data
| Autor: | Ellen M. Lavoie Smith, Charles L. Loprinzi, Jennifer Le-Rademacher, Celia M. Bridges, James J. Yang, Grace A Kanzawa-Lee, Noah R. Zanville, Clare Donohoe |
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| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Psychometrics Antineoplastic Agents behavioral disciplines and activities Article Young Adult 03 medical and health sciences 0302 clinical medicine Quality of life Neoplasms Surveys and Questionnaires Cluster Analysis Humans Medicine 030212 general & internal medicine Statistic Aged Randomized Controlled Trials as Topic Aged 80 and over Rasch model business.industry Peripheral Nervous System Diseases Secondary data Polytomous Rasch model Middle Aged Models Theoretical Response bias humanities Clinical trial Oncology Chemotherapy-induced peripheral neuropathy 030220 oncology & carcinogenesis Quality of Life Female business Clinical psychology |
| Zdroj: | Supportive Care in Cancer. 27:2599-2608 |
| ISSN: | 1433-7339 0941-4355 |
| DOI: | 10.1007/s00520-018-4553-y |
| Popis: | PURPOSE: To test the psychometric properties of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire–Chemotherapy-Induced Peripheral Neuropathy (QLQ-CIPN20) using Rasch-based methods. METHODS: A secondary data analysis was performed using pooled QLQ-CIPN20 data from patients (N = 1008) who had participated in any of four multi-site chemotherapy-induced peripheral neuropathy (CIPN) treatment and prevention trials. QLQ-CIPN20 responses were evaluated using a polytomous Rasch partial credit model. Data were assessed for person-item fit using the chi-square statistic, item scaling based on response proportions, threshold ordering using item characteristic curves and logit threshold locations, differential item response (DIF) (i.e., response bias) using likelihood ratio tests, and unidimensionality using cluster analysis. RESULTS: A statistically significant chi-square test indicated poor fit of the observed to the expected responses. More than 70% of the respondents reported a complete absence of six symptoms, reflecting significant floor effects and poor item scaling. Disordered/non-ordinal or narrow response thresholds were found for 11 of the 20 items. Item responses were significantly different by gender (p < 0.0001) and chemotherapy type (p < 0.0001). Cluster analysis findings suggest that the QLQ-CIPN20 is a unidimensional scale due to the absence of item clusters. CONCLUSIONS: Rasch model testing revealed psychometric weaknesses that could be addressed by revising the QLQ-CIPN20’s problematic items and response options. Alternatively, perhaps the new gold standard CIPN measurement approach in future intervention trials should involve use of only the best items, which would also allow comparisons across previous trials that utilized the QLQ-CIPN20. |
| Databáze: | OpenAIRE |
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