An item response theory-based pain item bank can enhance measurement precision

被引:40
|
作者
Lai, JS
Dineen, K
Reeve, BB
Von Roem, J
Shervin, D
McGuire, M
Bode, RK
Paice, J
Cella, D
机构
[1] Evanston NW Healthcare & NW Univ, CORE, Evanston, IL 60201 USA
[2] NCI, Div Canc Control & Populat Sci, Bethesda, MD USA
[3] NW Univ Freinberg, Sch Med, Dept Phys Med & Rehabil, Div Hematol Oncol, Chicago, IL USA
[4] Evanston NW Healthcare, Evanston, IL USA
关键词
item banking; Rasch; item response theory; cancer; pain; disease management;
D O I
10.1016/j.jpainsymman.2005.03.009
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Cancer-related pain is often under-recognized and undertreated. This is partly due to the lack of appropriate assessments, which need to be comprehensive and precise yet easily integrated into clinics. Computerized adaptive testing (CA T) can enable precise-yet-brief assessments by only selecting the most informative items from a calibrated item bank. The purpose of this study was to create such a bank. The sample included 400 cancer patients who were asked to complete 61 pain-related items. Data were analyzed using factor analysis and the Rasch model. The final bank consisted of 43 items which satisfied the measurement requirement of factor analysis and the Rasch model, demonstrated high internal consistency and reasonable item-total correlations, and discriminated patients with differing degrees of pain. We conclude that this bank demonstrates good psychometric properties, is sensitive to pain reported by patients, and can be used as the foundation for a CAT pain-testing platform for use in clinical Practice.
引用
收藏
页码:278 / 288
页数:11
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