Unmet needs influence health-related quality of life in people with multiple sclerosis.

Background: People with MS are a heterogeneous population with varying difficulties and needs that are influenced by the individual experience of the disease, symptoms and disease course. The aim of the present study was to identify factors that influence health-related quality of life in a sample of subjects with MS, specifically health and social care-related needs and demographic and disease characteristics.

Methods: Individuals with a definite diagnosis of MS were identified through MS out-patient clinics and local branches of the Italian MS Society. The EQ-5D-3L utility index was used to describe health profiles and as an overall measure of perceived HRQoL. The number of unmet health and social care-related needs was used to describe the impact of unmet needs on HRQoL. Multiple regression analyses were performed using a hierarchical approach.

Results: Data was analyzed from 1013 subjects. Overall, 83% of subjects reported at least one health or social care-related need as being unmet and subjects with a higher number of unmet needs had lower HRQoL (p < 0.001). The number of unmet needs was entered at the first step with a statistically significant effect (Cox-Snell R 0.15, BIC 870.9, AIC 851.2). Clinical variables, included in the second step, contributed significantly to explaining the variability between models (Cox-Snell R 0.43, BIC 481.0, AIC 446.6), and the addition of socio-demographic factors further accounted for variability (Cox-Snell R, 0.46, BIC 461.0, AIC 402.0).

Conclusions: The study demonstrated that a higher number of both health and social care-related unmet needs predicted lower HRQoL. The health profile of the sample identified all domains of the EQ-5D-3L as being important in determining HRQoL. Data confirms that unmet needs alone are significantly related to reduced HRQoL, although the multifactorial and complex nature of MS makes it a challenge to identify the combination of aspects that fully predict variability in quality of life.