There was no consistent relationship with factors such as disease-specific or generic instrument or the number of response options .
Negative changes were not associated with larger ESs .
Population -based estimation procedures and brief follow-up were associated with smaller ESs , and acute conditions with larger ESs .
Background .
A number of studies have computed the minimally important difference ( MID ) for health-related quality of life instruments .
To determine whether there is consistency in the magnitude of MID estimates from different instruments .
Using the standard error of measurement to identify important changes on the Asthma Quality of Life Questionnaire
Objectives : To establish a link between the minimal important difference ( MID ) and the st and ard error of measurement ( SEM ) for all responsive dimensions of the Asthma Quality of Life Question naire ( AQLQ ) . Methods : Secondary data analysis of baseline and follow-up interview data from 198 out patients with asthma enrolled in a r and omized 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 st and ards using weighted κ values . Results : One SEM identified the MID in responsive AQLQ dimensions . Weighted κ values ( 0.88–0.93 ) vali date d 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 clinical ly meaningful differences is still needed to secure a link between the SEM and the identification of relevant HRQoL change over time
There was no consistent relationship with factors such as disease-specific or generic instrument or the number of response options .
Negative changes were not associated with larger ESs .
Population -based estimation procedures and brief follow-up were associated with smaller ESs , and acute conditions with larger ESs .
Background .
A number of studies have computed the minimally important difference ( MID ) for health-related quality of life instruments .
To determine whether there is consistency in the magnitude of MID estimates from different instruments .