Decreasing Multiple Sclerosis Treatment Expenditures and Improving Quality at the Health System Level

Ann Neurol. 2022 Aug;92(2):164-172. doi: 10.1002/ana.26352. Epub 2022 Mar 30.

Abstract

Objective: This study was undertaken to evaluate a multicomponent health system intervention designed to reduce escalating disease-modifying treatment (DMT) expenditures and improve multiple sclerosis (MS) outcomes by increasing use of preferred formulary and highly effective DMTs (HETs).

Methods: We conducted a trend study of treatment utilization and expenditure outcomes prior to (2009-2011) and during (2012-2018) MS Treatment Optimization Program (MSTOP) implementation in Kaiser Permanente Southern California (KPSC) compared to a Kaiser Permanente region of similar size. Annual relapse rates (ARRs) were obtained from KPSC's electronic health records.

Results: Adherence to preferred formulary DMTs increased from 25.4% in 2011 to 72.2% in 2017 following MSTOP implementation in KPSC and 22.1% to 43.8%, respectively, in the comparator. KPSC's annual DMT expenditures in 2018 were less than in 2011 despite an 11.3% increase in DMT-treated members. The decline in average per patient per year of treatment expenditures from a peak of $43.1 K in 2014 to $26.3 K in 2018 in KPSC was greater than the comparator, which peaked at $52.1 K and declined to $40.0 K in 2018. Over the 7 years following initiation of MSTOP, cumulative MS DMT expenditures were $161.6 million less than the comparator. HET use increased to 62.5% of per patient treatment-years versus 32.4% in the comparator. This corresponded to a 69% decline in adjusted ARR (95% confidence interval = 64.1-73.2%; p < 0.0001) among DMT-treated patients in KPSC.

Interpretation: A novel, expert-led health system intervention reduced MS DMT expenditures despite rising prices while simultaneously reducing MS relapse rates. Our focus on health system progress toward meaningful, measurable targets could serve as a model to improve quality and affordability of MS care in other settings. ANN NEUROL 2022;92:164-172.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Health Expenditures
  • Humans
  • Multiple Sclerosis* / drug therapy
  • Recurrence
  • Retrospective Studies