Related Literature

Gandek B, Sinclair J, Jette A, Ware, J. Development and initial psychometric evaluation of the Participation Measure for Post-Acute Care. Am J Phys Med Rehabil. 2007; 86(1):1-15. The objective of this study was to evaluate a patient-reported participation measure constructed within the framework of the International Classification of Functioning, Disability, and Health.

Haley S, Andres P, Coster W, Kosinski M, Ni P, Jette A. Short-Form Activity Measures for Post-acute Care (AM-PAC). Arch Phys Med. 2004; 85:649-660. The objective of this study was to develop a comprehensive set of short forms using item response theory (IRT) and item pooling procedures for the purpose of monitoring post-acute care functional recovery.

Haley S, Gandek B, Siebens H, Black-Schaeffer R, Sinclair J, Tao W, Coster W, Ni P, Jette A. Computer adaptive testing follow-up after discharge from inpatient rehabilitation. II. Participation Outcomes. Am J Phys Med Rehabil. 2008; 89(2):275-83. The objective of this study was to measure participation outcomes with a computerized adaptive test (CAT) and compare CAT and traditional fixed-length surveys in terms of score agreement, respondent burden, discriminant validity, and responsiveness.

Haley S, Ni P, Hambleton R, Slavin M, Jette A. Computer Adaptive Testing Improved Accuracy and Precision of Scores over Random Item Selection in a Physical Functioning Item Bank. J Clin Epidemiol. 2006; 59:1174-1182. Measuring physical functioning (PF) within and across post-acute settings is critical for monitoring outcomes of rehabilitation; however, most current instruments lack sufficient breadth and feasibility for widespread use. Computer adaptive testing (CAT), in which item selection is tailored to the individual patient, holds promise for reducing response burden, yet maintaining measurement precision. We calibrated a PF item bank via item response theory (IRT), administered items with a post hoc CAT design, and determined whether CAT would improve accuracy and precision of score estimates over random item selection.

Haley SM , Coster WJ, Andres PL, Kosinski M, Ni P. Score comparability of short-forms and computerized adaptive testing: an illustration with the Activity Measure for Post-Acute Care (AM-PAC). Arch Phys Med. 2004; 85:661-666.
The objective of this study was to compare simulated short-form and computerized adaptive testing (CAT) scores to scores obtained from complete item sets for each of the 3 domains of the Activity Measure for Post-Acute Care (AM-PAC).

Haley SM, Coster WJ, Andres PL , Ludlow LH, Bond T, Sinclair SJ, Jette AM. Activity Outcome Measurement for Post-acute Care. Medical Care. 2004; 42(1 Suppl):I49-I69.
This study presents results from an initial exploratory factor analysis of AM-PAC items. Three distinct, interpretable factors were identified and accounted for 72% of the variance: Applied Cognition (44%), Personal Care & Instrumental Activities (19%), and Physical & Movement Activities (9%); these 3 activity factors were verified by a confirmatory factor analysis. Scaling assumptions were met for each factor in the total sample and across diagnostic groups. Internal consistency reliability was high for the total sample (Cronbach alpha = 0.92 to 0.94), and for specific diagnostic groups (Cronbach alpha = 0.90 to 0.95). Rasch scaling, residual factor, differential item functioning, and modified parallel analyses supported the unidimensionality and goodness of fit of each unique activity domain.

Hart DL. On "Prospective Evaluation of the AM-PAC-CAT..." Jette et al. Phys Ther. 2007;87:385-398. Phys Ther. 2007 May;87(5):609-11; author reply 611. No abstract available.

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