Literature DB >> 25903661

Impact of increasing adherence to disease-modifying therapies on healthcare resource utilization and direct medical and indirect work loss costs for patients with multiple sclerosis.

Sander Yermakov1, Matthew Davis, Michaela Calnan, Monica Fay, Brieana Cox-Buckley, Sujata Sarda, Mei Sheng Duh, Ravi Iyer.   

Abstract

OBJECTIVES: To estimate the effect of adherence to disease-modifying therapies (DMTs) among patients with multiple sclerosis (MS) on healthcare resource utilization (HRU) and costs, and model the impact of a 10 percentage point increase in adherence on these outcomes.
METHODS: Employed patients, 18-64 years old, with ≥2 MS diagnoses and ≥1 DMT claim during January 1, 2002 to September 30, 2012 were identified from a large commercially-insured US claims database. Adherence was measured as proportion of days covered (PDC) during follow-up. Multivariate regression analyses were conducted to estimate the effect of adherence on HRU related to urgent care (i.e., inpatient or emergency room visit), days of work loss, direct medical cost, and indirect work loss costs. Model coefficients were used to evaluate the impact of a 10 percentage point increase in adherence on the outcomes.
RESULTS: A total of 1510 patients were included (mean age = 43.4 years, 64% female). Patients with higher adherence had lower HRU, fewer days of work loss, and lower direct and indirect costs. A 10 percentage point increase in adherence significantly decreased the likelihood of an inpatient or emergency room visit by 9-19%, days of work loss by 3-8%, and direct and indirect costs by 3-5%, depending on the follow-up period (all p < 0.01).
CONCLUSIONS: Increasing DMT adherence was found to significantly decrease urgent-care HRU, days of work loss, and direct and indirect costs among patients with MS.

Entities:  

Keywords:  Direct cost; Disease-modifying therapies; Indirect cost; Medication adherence; Multiple sclerosis; Work loss

Mesh:

Substances:

Year:  2015        PMID: 25903661     DOI: 10.3111/13696998.2015.1044276

Source DB:  PubMed          Journal:  J Med Econ        ISSN: 1369-6998            Impact factor:   2.448


  11 in total

1.  The Association Between Persistence and Adherence to Disease-Modifying Therapies and Healthcare Resource Utilization and Costs in Patients With Multiple Sclerosis.

Authors:  Gabriel Pardo; Elmor D Pineda; Carmen D Ng; Daniel Sheinson; Nicole G Bonine
Journal:  J Health Econ Outcomes Res       Date:  2022-04-26

2.  Impact of Switching to Fingolimod Versus Injectable Disease-Modifying Therapy Cycling on Risk of Multiple Sclerosis-Related Relapses: A Retrospective Analysis.

Authors:  Maria Cecilia Vieira; Yunfeng Li; Xiangyi Meng; Huanxue Zhou; Olivia Wenxian Piao; Christen Kutz; Devon Conway
Journal:  Int J MS Care       Date:  2020-04-28

3.  The Economic Burden of Multiple Sclerosis in the United States: Estimate of Direct and Indirect Costs.

Authors:  Bruce Bebo; Inna Cintina; Nicholas LaRocca; Leslie Ritter; Bari Talente; Daniel Hartung; Surachat Ngorsuraches; Mitchell Wallin; Grace Yang
Journal:  Neurology       Date:  2022-04-13       Impact factor: 11.800

4.  Patient adherence to subcutaneous IFN beta-1a injections using the RebiSmart® injection device: a retrospective real-world study among Dutch and German patients with multiple sclerosis.

Authors:  Marieke Krol; Gert de Voer; Ulrike Osowski
Journal:  Patient Prefer Adherence       Date:  2017-07-11       Impact factor: 2.711

5.  Adherence to disease-modifying therapies and its impact on relapse, health resource utilization, and costs among patients with multiple sclerosis.

Authors:  Jack Burks; Thomas S Marshall; Xiaolan Ye
Journal:  Clinicoecon Outcomes Res       Date:  2017-04-28

6.  Knowledge Is Power, but Is Ignorance Bliss? Optimising Conversations About Disease Progression in Multiple Sclerosis.

Authors:  Patrick Vermersch; Jane Shanahan; Dawn Langdon; David Yeandle; Nektaria Alexandri; Sven Schippling
Journal:  Neurol Ther       Date:  2019-11-20

7.  Static and group-based trajectory analyses of factors associated with non-adherence in patients with multiple sclerosis newly-initiating once- or twice-daily oral disease-modifying therapy.

Authors:  Jacqueline A Nicholas; Natalie C Edwards; Roger A Edwards; Anna Dellarole; Luigi Manca; Danielle E Harlow; Amy L Phillips
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-06-30

8.  Quantifying the relationship between increased disability and health care resource utilization, quality of life, work productivity, health care costs in patients with multiple sclerosis in the US.

Authors:  E Jones; J Pike; T Marshall; X Ye
Journal:  BMC Health Serv Res       Date:  2016-07-22       Impact factor: 2.655

9.  Adherence to fingolimod in multiple sclerosis: an investigator-initiated, prospective, observational, single-center cohort study.

Authors:  Andrea Zimmer; Michael Coslovsky; Ivo Abraham; Bernhard F Décard
Journal:  Patient Prefer Adherence       Date:  2017-10-20       Impact factor: 2.711

10.  A retrospective claims analysis: Compliance and discontinuation rates among Canadian patients with multiple sclerosis treated with disease-modifying therapies.

Authors:  Pierre Duquette; Michael Yeung; Soukaïna Mouallif; Hamid Reza Nakhaipour; Paola Haddad; Robyn Schecter
Journal:  PLoS One       Date:  2019-01-14       Impact factor: 3.240

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