A post-hoc simulation of a computer adaptive administration of the items of a modified version of the Roland Morris Disability Questionnaire.
To evaluate the effectiveness of adaptive administration of back pain-related disability items compared to a fixed 11-item short form.
Summary of Background Data
Short form versions of the Roland Morris Disability Questionnaire have been developed. An alternative to paper-and -pencil short forms is to administer items adaptively so that items are presented based on a person’s responses to previous items. Theoretically, this allows precise estimation of back pain disability with administration of only a few items.
Materials and Methods
Data were gathered from two previously conducted studies of persons with back pain. An item response theory model was used to calibrate scores based on all items, items of a paper-and-pencil short form, and several computer adaptive tests (CATs).
Correlations between each CAT condition and scores based on a 23-item version of the Roland Morris Disability Questionnaire ranged from 0.93 to 0.98. Compared to an 11-item short form, an 11-item CAT produced scores that were significantly more highly correlated with scores based on the 23-item scale. CATs with even fewer items also produced scores that were highly correlated with scores based on all items. For example, scores from a five-item CAT had a correlation of 0.93 with full scale scores. Seven- and nine-item CATs correlated at 0.95 and 0.97, respectively. A CAT with a standard-error-based stopping rule produced scores that correlated at 0.95 with full scale scores.
A CAT-based back pain-related disability measure may be a valuable tool for use in clinical and research contexts. Use of CAT for other common measures in back pain research, such as other functional scales or measures of psychological distress, may offer similar advantages.
Source: Spine, 33(12), 1378-1383.
Author: Cook, K. F., Choi, S. W., Crane, P. K., Deyo, R. A., Johnson, K. L., & Amtmann, D. (2008).https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671199/