Development of a PROMIS item bank to measure pain interference |
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Authors: | Dagmar Amtmann Karon F. Cook Mark P. Jensen Wen-Hung Chen Seung Choi Dennis Revicki David Cella Nan Rothrock Francis Keefe Leigh Callahan Jin-Shei Lai |
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Affiliation: | 1. Department of Rehabilitation Medicine, University of Washington, Box 357920, Seattle, WA 98195-7920, USA;2. Center for Health Outcomes Research, United BioSource Corporation, Bethesda, MD, USA;3. Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA;4. Departments of Psychiatry and Behavioral Sciences, Anesthesiology, Medicine and Psychology and Neuroscience: Social and Health Sciences, Duke University and Duke University Medical Center, Durham, NC, USA;5. Departments of Medicine, Orthopaedics, and Social Medicine and Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA |
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Abstract: | This paper describes the psychometric properties of the PROMIS-pain interference (PROMIS-PI) bank. An initial candidate item pool (n = 644) was developed and evaluated based on the review of existing instruments, interviews with patients, and consultation with pain experts. From this pool, a candidate item bank of 56 items was selected and responses to the items were collected from large community and clinical samples. A total of 14,848 participants responded to all or a subset of candidate items. The responses were calibrated using an item response theory (IRT) model. A final 41-item bank was evaluated with respect to IRT assumptions, model fit, differential item function (DIF), precision, and construct and concurrent validity. Items of the revised bank had good fit to the IRT model (CFI and NNFI/TLI ranged from 0.974 to 0.997), and the data were strongly unidimensional (e.g., ratio of first and second eigenvalue = 35). Nine items exhibited statistically significant DIF. However, adjusting for DIF had little practical impact on score estimates and the items were retained without modifying scoring. Scores provided substantial information across levels of pain; for scores in the T-score range 50–80, the reliability was equivalent to 0.96–0.99. Patterns of correlations with other health outcomes supported the construct validity of the item bank. The scores discriminated among persons with different numbers of chronic conditions, disabling conditions, levels of self-reported health, and pain intensity (p < 0.0001). The results indicated that the PROMIS-PI items constitute a psychometrically sound bank. Computerized adaptive testing and short forms are available. |
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Keywords: | Quality-of-life outcomes Quality-of-life measurement Pain |
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