Evidence map›Paper›PMID 41884669›Full record

ArticleFrontiers in health services2026

Evaluating use of disease-modifying therapies for multiple sclerosis using claims data.

Xiang Wang, Fei-Li Zhao, David Newby, Shuchuen Li

Abstract read
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiang WangSchool of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.
Fei-Li ZhaoBeijing Health Economics Association, Beijing, China.
David NewbySchool of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.
Shuchuen LiSchool of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this work is to evaluate trends in the utilisation, cost, and switching patterns of disease-modifying treatments (DMTs) for relapsing-remitting multiple sclerosis (RRMS) under the pharmaceutical benefits scheme (PBS) in Australia from 2010 to 2021. Methods: A retrospective analysis was conducted using PBS claims data for 14 listed DMTs. Key outcomes included treatment uptake, switching behaviour, patient persistence, per-patient dosage, and direct drug costs. Results: The cohort comprised 2,315 RRMS patients initiating DMTs between 2010 and 2021 (73% women; mean age 41.9 years). Over the study period, the number of patients receiving DMTs increased 5-fold, while total PBS expenditure on DMTs rose 4.5-fold (from AUD 109.4M to AUD 492.9M), representing a compound annual growth rate of 13.6%-significantly outpacing overall PBS expenditure growth. High-efficacy (HE) DMTs progressively replaced low-efficacy (LE) therapies for both treatment initiation and switching. Median treatment persistence was higher for HE DMTs (25.5 months) compared to LE DMTs (20.8 months). HE DMTs generally incurred higher per-patient costs; however, elevated annual dosages of the LE drug interferon Beta-1a resulted in higher costs than some HE therapies. Conclusion: Rising PBS expenditure on DMTs was primarily driven by increasing patient numbers, shifts from low- to high-efficacy therapies, and longer treatment persistence. Analysis of individual DMT utilisation identified higher-than-expected use of interferon beta-1a relative to defined daily doses benchmarks, contributing to increased treatment costs. Overall, the findings demonstrate the value of claims data for postmarket monitoring of medicine utilisation and expenditure, and for informing policy review aimed at sustainable resource allocation.

Indexed as

claims datadisease-modifying therapies (DMTs)drug utilisationmultiple sclerosispostmarket monitoringreal world data (RWD)

Identifiers

PMID41884669
PMCPMC13008906

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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.