PND43 - A Systematic Literature Review to Assess the Current Evidence Landscape for Digital Behaviour Interventions in Multiple Sclerosis (MS)

Abstract

To investigate what digital health endpoints, outcomes and process measures have been assessed in Multiple Sclerosis (MS), and identify digital health data gaps in MS. A systematic review was conducted to identify clinical, economic evaluation, cost/resource use, health-related quality of life and patient/physician perspective studies that used digital health interventions (e.g. telephone, digital applications and electronic decision support tools) in patients with MS aged ≥18 years. Electronic searches of Embase, MEDLINE, the Cochrane Library and EconLit were undertaken to identify studies published 2007-2017. Reference lists of included publications, conference proceedings and US, UK and EU clinical trial registries were hand searched to supplement electronic searches. Electronic searches identified 1,481 studies. After removal of duplicates and full review, 89 articles were included. The clinical impact (n=66) of digital health interventions in MS were most frequently reported. Studies also reported health-related quality of life outcomes (HRQoL; n=22), patient perspectives (n=20), adherence/compliance to intervention (n=10), resource use (n=7), physician perspective (n=5), cost (n=4), cost-effectiveness (n=2), medication adherence (n=2) and process measures (n=1). Although economic impacts were sparsely reported, digital health interventions appear to be cost-effective for people with MS. The clinical impact of digital health interventions in MS is more widely reported than patients’ perspectives on and adherence to these interventions, despite their effectiveness being dependant on patient engagement. Nevertheless, preliminary findings suggest patients with MS are accepting of digital interventions. More research is needed to understand the value of digital health interventions in MS, particularly their economic impacts.