Evidence map›Paper›PMID 34662494›Full record

ArticleAnnals of clinical and translational neurology2021

The Multiple Sclerosis Treatment Optimization Program.

Annette Langer-Gould, Stephen C Cheng, Bonnie H Li, Michael H Kanter

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Annette Langer-GouldDepartment of Neurology, Los Angeles Medical Center, Southern California Permanente Medical Group, Los Angeles, California, USA.ORCID 0000-0001-6891-7147
Stephen C ChengKaiser Foundation Health Plan, Drug Use Management, Downey, California, USA.
Bonnie H LiDepartment of Research & Evaluation, Southern California Permanente Medical Group, Pasadena, California, USA.
Michael H KanterDepartment of Clinical Science, Bernard J. Tyson School of Medicine, Pasadena, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo design and implement a health system level intervention to reduce escalating multiple sclerosis (MS) disease modifying treatment (DMT) expenditures and improve outcomes.

methodsWe 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).

resultsThe 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.

interpretationThe 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.

Indexed as

Quality of Health CareAdultDrug PrescriptionsFemaleHumansImmunomodulating AgentsMaleMiddle AgedMultiple SclerosisProgram DevelopmentImmunomodulating Agents

Identifiers

PMID34662494
PMCPMC8607446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.