Performance of an item response theory-based computer adaptive test in identifying functional decline.
prospective_cohort · Level II
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- Record sourced from PubMed, PMID 22749314.
- Also identified by DOI 10.1016/j.apmr.2012.02.008 and PMC identifier 3740969.
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Abstract
To achieve a low respondent burden and increase the responsiveness of functional measurement by using an item response theory-based computer adaptive test (CAT), the Activity Measure for Post-Acute Care (AM-PAC) CAT. Two-year prospective cohort study. Telephonic assessments from a quaternary medical center. Patients (N=311) with late-stage lung cancer (LC). Monthly assessments for up to 2 years. Disease progression was determined via record abstraction. Anchor-based responsiveness techniques were used to compare AM-PAC-CAT score changes between global rating of change (GRC) question response levels, as well as between intervals when adverse clinical events or symptom worsening did and did not occur. Distribution-based responsiveness assessments included calculation of the standardized effect size (SES) and standardized response mean (SRM). AM-PAC-CAT, symptom numerical rating scales, and a GRC. Administration time averaged 112 seconds over 2543 interviews. AM-PAC-CAT score changes became more positive as GRC responses reflected more improved states: a lot worse (-11.62), a little worse (-1.92), the same (-.10), a little better (1.01), and a lot better (2.82). Score changes were negative when associated with adverse clinical events. The SES and SRM for score differences between 1 to 2 and 9 to 10 months prior to death were -.87 and -1.13, respectively. The minimally important difference estimate was defined by the mean CAT session SE at 2.0. The AM-PAC-CAT imposes a low, <2-minute, respondent burden, and distribution- and anchor-based methods suggest that is moderately responsive in patients with late-stage LC.
Medical subject headings
- Activities of Daily Living
- Carcinoma, Non-Small-Cell Lung
- Continuity of Patient Care
- Lung Neoplasms
- Medical Records Systems, Computerized
- Monitoring, Physiologic