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Multiple Sclerosis, Vol. 11, No. 6, 708-712 (2005)
DOI: 10.1191/1352458505ms1235oa

Measuring quality of life in multiple sclerosis: not as simple as it sounds

L Nicholl

Health and Rehabilitation Sciences Research Institute, University of Ulster at Jordanstown, Newtownabbey, BT37 0QB, Northern Ireland, UK

J C Hobart

Peninsula Medical School, Derriford Hospital Plymouth, PL6 8DH and Neurological Outcome Measures Unit, Institute of Neurology, Queen Square, London, WC1N 3BG, UK

A FL Cramp

Faculty of Health and Social Care, University of the West of England, Glenside Campus, Blackberry Hill, Bristol, BS16 1DD, UK

A S Lowe-Strong

Health and Rehabilitation Sciences Research Institute, University of Ulster at Jordanstown, Newtownabbey, BT37 0QB, Northern Ireland, UK, a.lowe{at}ulster.ac.uk

Data from a clinical study presented an opportunity to examine the psychometric properties of the Leeds Multiple Sclerosis Quality of Life scale (LMSQoL), which has undergone limited psychometric evaluation. LMSQoL and Multiple Sclerosis Quality of Life-54 (MSQoL-54) data were collected from 90 people with multiple sclerosis (MS) living in the community. Standard psychometric methods to examine data quality, scaling assumptions, scale to sample targeting, reliability, validity, and responsiveness were employed. The LMSQoL satisfied criteria for data quality (no missing data), scaling assumptions (item-total correlations: 0.24-0.56), reliability (Cronbach’s alpha: 0.71), and demonstrated responsiveness (effect size: 0.34). Correlations between the LMSQoL and MSQoL-54 physical (range:-0.02 to-0.50) and emotional subscales (range:-0.38 to-0.65) were similar; the magnitude and pattern was not consistent with predictions based on the construct purported to be measured by the LMSQoL. The LMSQoL satisfied many psychometric criteria in this small study, however, it was difficult to interpret the validity data. From this, two fundamental measurement issues are highlighted. Firstly, current methods of examining rating scales provide only circumstantial evidence of validity; secondly, health-rating scales should be developed on the basis of clear conceptual definitions.

Key Words: Leeds MS Quality of Life scale • multiple sclerosis • outcome measurement • psychometric evaluation • quality of life • validity testing


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[Abstract] [PDF]