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The Multiple Sclerosis Treatment Optimization Program

OBJECTIVE: To design and implement a health system level intervention to reduce escalating multiple sclerosis (MS) disease modifying treatment (DMT) expenditures and improve outcomes. METHODS: We conducted stakeholder meetings, reviewed pharmacy utilization data, and abstracted information in subset...

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Autores principales: Langer‐Gould, Annette, Cheng, Stephen C., Li, Bonnie H., Kanter, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607446/
https://www.ncbi.nlm.nih.gov/pubmed/34662494
http://dx.doi.org/10.1002/acn3.51472
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author Langer‐Gould, Annette
Cheng, Stephen C.
Li, Bonnie H.
Kanter, Michael H.
author_facet Langer‐Gould, Annette
Cheng, Stephen C.
Li, Bonnie H.
Kanter, Michael H.
author_sort Langer‐Gould, Annette
collection PubMed
description OBJECTIVE: To design and implement a health system level intervention to reduce escalating multiple sclerosis (MS) disease modifying treatment (DMT) expenditures and improve outcomes. METHODS: We conducted stakeholder meetings, reviewed pharmacy utilization data, and abstracted information in subsets of persons with MS (pwMS) from the electronic health record to identify gaps in, and barriers to improving, quality, and affordability of MS care in Kaiser Permanente Southern California. These results informed the development and implementation of the MS Treatment Optimization Program (MSTOP). RESULTS: The two main gaps identified were under‐prescribing of highly effective DMTs (HET, 4.9%) and the preferred formulary DMT (20.9%) among DMT‐treated pwMS. The main barriers identified were prescribers’ fear of rare but serious HET side effects, lack of MS‐specific and health systems science knowledge, Pharma influence, evidence gaps, formulary decisions‐based solely on costs, and multidirectional mistrust between neurologists, practice leaders, and health plan pharmacists. To overcome these barriers MSTOP developed four strategies: (1) risk‐stratified treatment algorithm to increase use of HETs; (2) an expert‐led ethical, cost‐sensitive, risk‐stratified, preferred formulary; (3) proactive counter‐launch campaigns to minimize uptake of new, low‐value DMTs; and (4) discontinuation of ineffective DMTs in progressive, non‐relapsing MS. The multicomponent MSTOP was implemented through education, training, and expanding access to MS‐trained providers, audit and feedback, and continual evidence reviews. INTERPRETATION: The causes of wasteful spending on MS DMTs are complex and require multiple strategies to resolve. We provide herein granular details of how we designed and implemented our health system intervention to facilitate its adaption to other settings and conditions.
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spelling pubmed-86074462021-11-29 The Multiple Sclerosis Treatment Optimization Program Langer‐Gould, Annette Cheng, Stephen C. Li, Bonnie H. Kanter, Michael H. Ann Clin Transl Neurol Research Articles OBJECTIVE: To design and implement a health system level intervention to reduce escalating multiple sclerosis (MS) disease modifying treatment (DMT) expenditures and improve outcomes. METHODS: We conducted stakeholder meetings, reviewed pharmacy utilization data, and abstracted information in subsets of persons with MS (pwMS) from the electronic health record to identify gaps in, and barriers to improving, quality, and affordability of MS care in Kaiser Permanente Southern California. These results informed the development and implementation of the MS Treatment Optimization Program (MSTOP). RESULTS: The two main gaps identified were under‐prescribing of highly effective DMTs (HET, 4.9%) and the preferred formulary DMT (20.9%) among DMT‐treated pwMS. The main barriers identified were prescribers’ fear of rare but serious HET side effects, lack of MS‐specific and health systems science knowledge, Pharma influence, evidence gaps, formulary decisions‐based solely on costs, and multidirectional mistrust between neurologists, practice leaders, and health plan pharmacists. To overcome these barriers MSTOP developed four strategies: (1) risk‐stratified treatment algorithm to increase use of HETs; (2) an expert‐led ethical, cost‐sensitive, risk‐stratified, preferred formulary; (3) proactive counter‐launch campaigns to minimize uptake of new, low‐value DMTs; and (4) discontinuation of ineffective DMTs in progressive, non‐relapsing MS. The multicomponent MSTOP was implemented through education, training, and expanding access to MS‐trained providers, audit and feedback, and continual evidence reviews. INTERPRETATION: The causes of wasteful spending on MS DMTs are complex and require multiple strategies to resolve. We provide herein granular details of how we designed and implemented our health system intervention to facilitate its adaption to other settings and conditions. John Wiley and Sons Inc. 2021-10-18 /pmc/articles/PMC8607446/ /pubmed/34662494 http://dx.doi.org/10.1002/acn3.51472 Text en © 2021 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Langer‐Gould, Annette
Cheng, Stephen C.
Li, Bonnie H.
Kanter, Michael H.
The Multiple Sclerosis Treatment Optimization Program
title The Multiple Sclerosis Treatment Optimization Program
title_full The Multiple Sclerosis Treatment Optimization Program
title_fullStr The Multiple Sclerosis Treatment Optimization Program
title_full_unstemmed The Multiple Sclerosis Treatment Optimization Program
title_short The Multiple Sclerosis Treatment Optimization Program
title_sort multiple sclerosis treatment optimization program
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607446/
https://www.ncbi.nlm.nih.gov/pubmed/34662494
http://dx.doi.org/10.1002/acn3.51472
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