Measuring individual true change with PROMIS using IRT-based plausible values.

ABSTRACT:

Aims

A primary advantage of IRT-based patient-reported outcome measures such as PROMIS short forms and computer-adaptive tests is that each estimate of the latent trait comes with a standard error. Such measurement error needs to be acknowledged, in particular when monitoring individual patients over time. In this study, we use plausible values to account for measurement error and analyze the probability of true within-individual change.

Methods

We use a longitudinal, observational study of stable and exacerbated COPD patients (N = 185), providing PROMIS Physical Function and Fatigue T-scores over 3 months. At each measurement, we imputed 1000 plausible values from the scores' posterior distribution. These were then used to calculate probability of true change using a pre-sp

SUBMITTER: Ho EH 

PROVIDER: S-EPMC10849110 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature