Using the standard error of measurement to identify important changes on the Asthma Quality of Life Questionnaire

Kathleen W. Wyrwich, William M. Tierney, Fredric D. Wolinsky

Research output: Contribution to journalArticlepeer-review

92 Scopus citations


Objectives: To establish a link between the minimal important difference (MID) and the standard error of measurement (SEM) for all responsive dimensions of the Asthma Quality of Life Questionnaire (AQLQ). Methods: Secondary data analysis of baseline and follow-up interview data from 198 outpatients with asthma enrolled in a randomized controlled trial and receiving care at a major urban academic medical center's general medicine clinics. Domain statistics for baseline and follow-up interviews were examined for the AQLQ. The baseline SEM values were compared with established AQLQ MID standards using weighted κ values. Results: One SEM identified the MID in responsive AQLQ dimensions. Weighted κ values (0.88-0.93) validated excellent agreement between these two criteria. Conclusion: This is the third study to support using one SEM to identify important individual change in health-related quality of life (HRQoL) measures. However, refinement of the process for determining a measure's clinically meaningful differences is still needed to secure a link between the SEM and the identification of relevant HRQoL change over time.

Original languageEnglish (US)
Pages (from-to)1-7
Number of pages7
JournalQuality of Life Research
Issue number1
StatePublished - Apr 20 2002


  • Asthma
  • Dimensionality
  • Measurement
  • Quality of life
  • Relevant change
  • Reliability
  • Responsiveness
  • Sensitivity

ASJC Scopus subject areas

  • Rehabilitation
  • Nursing(all)

Fingerprint Dive into the research topics of 'Using the standard error of measurement to identify important changes on the Asthma Quality of Life Questionnaire'. Together they form a unique fingerprint.

Cite this