OP141 Patient Relevant Outcome Measures As Predictors Of Healthcare Use In Multiple Sclerosis

Abstract

INTRODUCTION:

Multiple-sclerosis (MS) is a highly disabling chronic disorder affecting young adults with long term economic consequences on society that escalate as MS disability increases (1,2). In the long-term, progression of MS results in increased level of disability and most patients will eventually experience some degree of functional impairment of the nervous system that impacts on mobility as well as sensory and coordination issues, bladder and sexual functioning, and mood and cognitionon (2). This is usually accompanied by a deterioration of their quality of life. Patient relevant outcome measures (PROMS) are largely used to measure individual disability, and quality of life in MS (2). International evidence from the International Multiple Sclerosis Study (IMPrESS) (2) was used to quantify the relationship between healthcare resources utilisation and disability, quality of life in individuals with MS.

METHODS:

Multivariable logistic regression was performed in order to identify patient-related variables reporting disability (Barthel) and utility (EQ-5D) that predict use of healthcare services (visits to GP, specialists, nurses, hospitalisation and treatment) and work limitation within the participants of the IMPrESS.

RESULTS:

Reponses were collected from 1,152 individuals across 21 countries of which 74.3 percent (856) were useful for analysis. Preliminary findings indicated that for the pooled data sets both EQ-5D and Barthel scores were predictors of healthcare resource use, across different categories (p<.05), except for nurse visits (Barthel only; p<.09). Overall the association between PROM data and use of healthcare resources appeared to be stronger with EQ-5D compared to Barthel. EQ-5D appeared to also predict the impact of MS on loss of productivity (in terms of work limitation; p<.05).

CONCLUSIONS:

PROMs can be used to predict the economic consequences of MS on healthcare providers and society, but more research is needed to confirm the robustness of the evidence and its validity across individual healthcare system settings.