Demographic, socioeconomic and clinical correlates of self-management in multiple sclerosis

Abstract

Purpose: Our aim was to identify demographic, clinical and socioeconomic predictors of self-management in multiple sclerosis (MS). Methods: The study was performed on a group of 283 patients with multiple sclerosis who completed Multiple Sclerosis Self-Management Scale – Revised (MSSM-R), Multiple Sclerosis Impact Scale (MSIS-29), Actually Received Support Scale (part of Berlin Social Support Scale), Expanded Disability Status Scale (EDSS) and Socioeconomic resources scale. Patients were recruited through cooperation with Multiple Sclerosis Rehabilitation Centre in Borne Sulinowo and Polish Society of Multiple Sclerosis. Demographic and illness-related problems were determined with self-report survey. Results: The group consisted of 185 women and 98 men, with a mean age of 48 years. The level of disability and disease severity varied, mean time elapsed since MS diagnosis was 13 years. The final predictive model of self-management in MS was based on two main predictors: received support and available socioeconomic resources. Patients with MS who received adequate support from the closest relatives (R2 = 0.07, F(1, 279) = 21.84, p ≤ 0.01) and had larger available socioeconomic resources (R2 = 0.11, F(2, 278) = 17.06, p ≤ 0.01), turned out to be the most effective in self-management. Moreover, a relationship between self-management in MS and gender as well as monthly income attributable to one family member was documented. Conclusion: We identified a group of MS patients who are at an increased risk of poor self-management and therefore require more attention from medical staff. This group includes patients with low level of received support, low socioeconomic resources and to a lesser degree men, and also persons receiving low monthly income.Implications for RehabilitationSelf-management of chronic illness is a key component of active participation in rehabilitation process.Low self-management in multiple sclerosis (MS) is considered to be one of the most important factors contributing to low rehabilitation efficacy, more severe long-term complications and increase in healthcare costs.Knowledge on predictors of self-management should be used in clinical practice when providing treatment, support, education and rehabilitation for patients with MS.Increasing support and improving social conditions are potentially important targets for interventions aimed at optimization of self-management, and thereby reduction of health care costs and improvement of health.