Unknown

Dataset Information

Evaluation of the psychometric properties of the Early Morning Symptoms of COPD Instrument (EMSCI).


ABSTRACT:

Background

Early morning respiratory symptoms impact quality of life and are often the most troublesome for patients with COPD. Reduction in symptoms and their impact are important treatment outcomes for COPD. The Early Morning Symptoms of COPD Instrument (EMSCI) is a daily diary designed to collect patients' report of the occurrence, severity, and impact of morning COPD symptoms.

Methods

To assess the psychometric properties of the EMSCI, a split-half sample of data from a COPD clinical trial where participants completed the EMSCI daily was used for conducting descriptive statistics, factor analyses, and Rasch model analyses to examine item performance and inform scoring. Once the final scoring algorithm was determined, data from the second split-half sample were used to ex

SUBMITTER: Hareendran A 

PROVIDER: S-EPMC5965389 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature