Evaluation of the Patient-Reported Outcomes Information System (PROMIS®) Spanish-language physical functioning items

Autor: Karen L. Spritzer, Ron D. Hays, Sylvia H. Paz, Leo S. Morales
Rok vydání: 2012
Předmět:
Zdroj: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, vol 22, iss 7
ISSN: 1573-2649
0962-9343
DOI: 10.1007/s11136-012-0292-6
Popis: PurposeTo evaluate the equivalence of the PROMIS(®) physical functioning item bank by language of administration (English versus Spanish).MethodsThe PROMIS(®) wave 1 English-language physical functioning bank consists of 124 items, and 114 of these were translated into Spanish.AnalysisItem frequencies, means and standard deviations, item-scale correlations, and internal consistency reliability were calculated. The IRT assumption of unidimensionality was evaluated by fitting a single-factor confirmatory factor analytic model. IRT threshold and discrimination parameters were estimated using Samejima's Graded Response Model. DIF by language of administration was evaluated.ResultsItem means ranged from 2.53 (SD = 1.36) to 4.62 (SD = 0.82). Coefficient alpha was 0.99, and item-rest correlations ranged from 0.41 to 0.89. A one-factor model fits the data well (CFI = 0.971, TLI = 0.970, and RMSEA = 0.052). The slope parameters ranged from 0.45 ("Are you able to run 10 miles?") to 4.50 ("Are you able to put on a shirt or blouse?"). The threshold parameters ranged from -1.92 ("How much do physical health problems now limit your usual physical activities (such as walking or climbing stairs)?") to 6.06 ("Are you able to run 10 miles?"). Fifty of the 114 items were flagged for DIF based on an R(2) of 0.02 or above criterion. The expected total score was higher for Spanish- than English-language respondents.ConclusionsEnglish- and Spanish-speaking subjects with the same level of underlying physical function responded differently to 50 of 114 items. This study has important implications in the study of physical functioning among diverse populations.
Databáze: OpenAIRE