How do the number of missing daily diary days impact the psychometric properties and meaningful change thresholds arising from a weekly average summary score?

ABSTRACT:

Purpose

Quality of life research often collects daily information and averages this over a week, producing a summary score. When data are missing, arbitrary rules (such as requiring at least 4/7 observations) are used to determine whether a patient's summary score is created or set to missing. This simulation work aimed to assess the impact of missing data on the estimates produced by summary scores, the psychometric properties of the resulting summary score estimates and the impact on interpretation thresholds.

Methods

Complete longitudinal data were simulated for 1000 samples of 400 patients with different day-to-day variability. Data were deleted from these samples in line with missingness mechanisms to create scenarios with up to six days of missing data. Summary scores

SUBMITTER: Griffiths P 

PROVIDER: S-EPMC9362484 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature