title: The use of multiple sclerosis condition-specific measures to inform health policy decision-making: mapping from the MSWS-12 to the EQ-5D.
abstract: BACKGROUND
  Walking impairment has a major influence on the quality of life of people with multiple sclerosis (MS). The Multiple Sclerosis Walking Scale (MSWS-12) assesses the impact of MS on walking ability from the patient's perspective, but in its current form, is not amenable for use in many policy decision-making settings.
  
  
  OBJECTIVE
  Statistical 'mapping' methods were used to convert MSWS-12 scores to EQ-5D health state values.
  
  
  METHODS
  The relationship between the measures was estimated using cohort data from people with MS in South West England. Regression analyses were conducted, estimation errors assessed, and predictive performance of the best models tested using longitudinal data.
  
  
  RESULTS
  Model performance was in line with that of other mapping studies, with the best-performing models being an ordinary least squares (OLS) model using MSWS-12 item scores, and an OLS model using the total MSWS-12 score and its squared term.
  
  
  CONCLUSIONS
  A process has been described whereby data from a patient-reported outcome measure (MSWS-12) can be converted to (EQ-5D) health state values. These values may be used to consider the health-related quality of life of people with MS, to estimate quality adjusted life-years for use in effectiveness and cost-effectiveness analyses, and to inform health policy decisions.
authors: Health Economics Group, PenCLAHRC, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK. annie.hawton@pms.ac.uk
authors: A
authors: A
authors: Hawton
authors: C
authors: C
authors: Green
authors: C J
authors: CJ
authors: Telford
authors: D E
authors: DE
authors: Wright
authors: J P
authors: JP
authors: Zajicek
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D003362:Cost-Benefit Analysis; D004185:Disability Evaluation; D004739:England; D005260:Female; D017048:Health Care Costs; D006291:Health Policy / Q000191:economics; D006302:Health Services Research; D006304:Health Status; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D020528:Multiple Sclerosis, Chronic Progressive / Q000175:diagnosis* / Q000191:economics / Q000503:physiopathology / Q000523:psychology / Q000628:therapy; D020529:Multiple Sclerosis, Relapsing-Remitting / Q000175:diagnosis* / Q000191:economics / Q000503:physiopathology / Q000523:psychology / Q000628:therapy; D011050:Policy Making; D011237:Predictive Value of Tests; D011788:Quality of Life; D019057:Quality-Adjusted Life Years; D012720:Severity of Illness Index; D013222:State Medicine / Q000191:economics / Q000331:legislation & jurisprudence*; D013997:Time Factors; D016138:Walking; D055815:Young Adult