Abstract
BACKGROUND AND AIM: The psychometric properties of rating scales are sample dependent and need evaluations in different samples. The Multiple Sclerosis Impact Scale (MSIS-29), a new patient based rating scale for multiple sclerosis (MS) was predominantly developed from a community based sample derived from the MS Society. A number of important patient characteristics of this sample remain unknown. The aim of the study was to evaluate five psychometric properties of the MSIS-29 in three hospital based samples: people admitted for rehabilitation, people admitted for intravenous corticosteroid treatment for MS relapses, and people with primary progressive MS. METHODS: People with MS were recruited from the three clinical settings. They completed several health measures. MSIS-29 data were evaluated for data quality, scaling assumptions, acceptability, reliability and validity, and compared with those from a previously reported community based study. RESULTS: A total of 233 people (rehabilitation p=53; corticosteroids p=76; primary progressive p=104) completed questionnaires. In all samples, missing data were low (<or=2.2%), scaling assumptions were satisfied, and reliability was high (>or=0.91). Correlations between the MSIS-29 and other scales were consistent with a priori hypotheses. Findings were consistent with those from the community samples. CONCLUSIONS: The psychometric properties of the MSIS-29 are consistent across three hospital based samples, and similar to those in the community samples. These findings further support its use as an outcome measure in different clinical settings.
| Original language | English |
|---|---|
| Pages (from-to) | 701-704 |
| Number of pages | 0 |
| Journal | Journal of Neurology, Neurosurgery and Psychiatry |
| Volume | 73 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2002 |
Keywords
- Adolescent
- Adrenal Cortex Hormones
- Adult
- Aged
- 80 and over
- Female
- Humans
- Male
- Middle Aged
- Multiple Sclerosis
- Chronic Progressive
- Relapsing-Remitting
- Patient Admission
- Psychometrics
- Quality of Life
- Reproducibility of Results
- Sickness Impact Profile