Investigating the Impact of Mode of Administration on Item Response

Study Summary

The Patient-Reported Outcomes Measurement Information System (PROMIS) is an NIH Roadmap initiative to develop a computerized system measuring patient-reported outcomes in respondents with a wide range of chronic diseases and demographic characteristics. In the first four years of its existence, the PROMIS network developed item banks for measuring patient-reported outcomes in the areas of pain, fatigue, emotional distress, physical function, and social functioning. During the item banking process, the PROMIS network conducted focus groups, individual cognitive interviews, and lexile (reading level) analyses to refine the meaning, clarity, and literacy demands of all items. The item banks were administered to over 20,000 respondents and calibrated using models based on item response theory (IRT). Using these IRT calibrations, computerized adaptive test (CAT) algorithms were developed and implemented. The network has designed a series of studies using clinical populations to evaluate the item attributes, examine their utility as CATs, and validate the item banks. More information on the PROMIS network can be found at www.nihpromis.org. This study is designed to examine how differences in modes of data capture affect psychometric properties and score differences and to evaluate the consistency of these results across three PROMIS health domains: emotional distress-depression, fatigue, and physical function. Four modes of administration will be compared: interactive voice response (IVR) technology, paper and pencil questionnaire, personal computer, and personal digital assistant (PDA). A total of 800 patients will be enrolled from three diagnostic groups: chronic obstructive pulmonary disease (COPD), depression, and rheumatoid arthritis. The study will test for equivalence across modes of administration, with the hypothesis that there are no mode effects; if mode effects are found, their magnitude across modes will be estimated. This network project will result in an i