Literature DB >> 30224113

Cost Sharing of Disease-Modifying Treatments (DMTs) as Policy Lever to Improve DMTs' Access in Multiple Sclerosis.

Hui Shao1, Charles Stoecker1, Alisha M Monnette1, Lizheng Shi2.   

Abstract

OBJECTIVES: To understand the nonlinear relationship between out-of-pocket (OOP) payments and disease-modifying treatment (DMT) use and adherence, primarily to pinpoint the threshold at which the use of DMTs becomes price sensitive.
METHODS: Individuals with more than two multiple sclerosis (MS) diagnoses (International Classification of Diseases, Ninth Revision code 340) were identified from the MarketScan database (2006-2009). Heterogeneity in treatment was normalized by calculating an annual OOP payment as the average OOP payment for purchasing a fixed basket of DMTs at the insurance plan level. A local linear regression with a model-based recursive partitioning algorithm was applied to explore the relationship between OOP and consequently lower DMT use and adherence as measured by days covered by DMT.
RESULTS: We identified the inflection points in annual OOP payments as $442 for DMT use and $890 for DMT adherence. For patients with annual OOP payments of more than $442, a $100-increase in OOP payment was associated with a decline of 0.6% in DMT use; for annual OOP payments of more than $890, a $100-increase in OOP payment was associated with two fewer days of DMT treatments.
CONCLUSIONS: Although the use of DMTs and DMT adherence appeared unassociated with OOP payment below $442 and $890, respectively, an excessive OOP payment was a barrier to DMT access. This information can inform maximum monthly and yearly payment caps when designing valued-based insurance plans.
Copyright © 2018 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cost-sharing; demand elasticity; disease-modifying treatment; multiple sclerosis

Mesh:

Year:  2018        PMID: 30224113     DOI: 10.1016/j.jval.2017.10.025

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  8 in total

Review 1.  Economics of Multiple Sclerosis Disease-Modifying Therapies in the USA.

Authors:  Daniel M Hartung
Journal:  Curr Neurol Neurosci Rep       Date:  2021-05-05       Impact factor: 5.081

2.  Association of out-of-pocket costs on adherence to common neurologic medications.

Authors:  Evan L Reynolds; James F Burke; Mousumi Banerjee; Kevin A Kerber; Lesli E Skolarus; Brandon Magliocco; Gregory J Esper; Brian C Callaghan
Journal:  Neurology       Date:  2020-02-19       Impact factor: 9.910

3.  Closing the Part D Coverage Gap and Out-of-Pocket Costs for Multiple Sclerosis Drugs.

Authors:  Daniel M Hartung; Kirbee A Johnston; Dennis N Bourdette; Randi Chen; Chien-Wen Tseng
Journal:  Neurol Clin Pract       Date:  2021-08

4.  Medication Costs Harm Patients With Multiple Sclerosis.

Authors:  Marc R Nuwer; Kevin Patel
Journal:  Neurol Clin Pract       Date:  2021-08

5.  Association Between Pharmacy Benefit Restrictions and Disease-Modifying Therapy Use in the Medicare Part D Program.

Authors:  Daniel M Hartung; Kirbee A Johnston; Jessina C McGregor; Dennis N Bourdette
Journal:  Neurol Clin Pract       Date:  2022-02

6.  Characteristics of Prescription Drug Use Among Individuals With Multiple Sclerosis in the US Medicare Population.

Authors:  Daniel M Hartung; Kirbee A Johnston; Jessina C McGregor; Dennis N Bourdette
Journal:  Int J MS Care       Date:  2022-04-14

7.  Out-of-pocket costs are on the rise for commonly prescribed neurologic medications.

Authors:  Brian C Callaghan; Evan Reynolds; Mousumi Banerjee; Kevin A Kerber; Lesli E Skolarus; Brandon Magliocco; Gregory J Esper; James F Burke
Journal:  Neurology       Date:  2019-05-01       Impact factor: 11.800

Review 8.  Health economics of disease-modifying therapy for multiple sclerosis in the United States.

Authors:  Daniel M Hartung
Journal:  Ther Adv Neurol Disord       Date:  2021-02-17       Impact factor: 6.570

  8 in total

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