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Abstract: Poster Presentations |

USING DISTRIBUTION-BASED STANDARD ERROR OF MEASUREMENT (SEM) METHOD TO DETERMINE MINIMAL IMPORTANT DIFFERENCE (MID) FOR THE SYMPTOM STATUS INDEX (SSI) FREE TO VIEW

Rohit D. Borker, PhD*; Michael Watkins, PharmD; Kate Knobil, MD; Amanda Emmett, MS; Chris Kalberg, PhD
Author and Funding Information

GlaxoSmithKline, Research Triangle Park, NC


Chest


Chest. 2005;128(4_MeetingAbstracts):251S. doi:10.1378/chest.128.4_MeetingAbstracts.251S-a
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Abstract

PURPOSE:  To assess the minimal important difference (MID) of the Symptom Status Index (SSI) using the distribution-based standard error of measurement (SEM) method.

METHODS:  The SSI is a diary-based index comprised of 4 VAS items: shortness of breath, tiredness, activity limitation, and frustration with symptoms. It has been shown to be a reliable, valid, and a responsive tool in COPD population. Individual item scores are summed to obtain the SSI total score. Patients record the severity of their symptom status on a 0mm (none/not at all) to 100mm (worst it has ever been/as bad as it can be) VAS. The SEM method was used to determine the MID because of its sample independent properties. This results from simultaneous incorporation of sample reliability and variability in its determination. The one-SEM criterion has been shown to represent MID and was used in this analysis as MID criterion. Data from 3 sets of twin trials (Study sets A, B, & C) in patients with COPD was used in this analysis. Internal consistency reliability (Cronbach’s α) and the standard deviation of the summated SSI scores, which are required for computation of the SEM, were determined for the SSI.

RESULTS:  SEM based MID for SSI based on 3 study sets are illustrated in the Table.

CONCLUSION:  Consistent results across the 3 sets of trials point to about 5 to 6 unit change on the SSI (0 to 100 scale) as MID.

CLINICAL IMPLICATIONS:  Once this MID has been validated using different approaches, it can serve as an useful anchor to assess meaningful changes in patient’s symptom status.

DISCLOSURE:  Rohit Borker, Employee GlaxoSmithKlineStudy SetsSSI Mean (SD)rxx (Cronbach’s α)1-SEMStudy set A (SCO40011 & 12)50.82 (16.93)0.9105.08Study set B (SMS40314 & 15)58.07 (14.08)0.8585.31Study set C (SMS40320 & 21)52.10 (17.01)0.9065.21

Wednesday, November 2, 2005

12:30 PM - 2:00 PM


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