Evidence map›Paper›PMID 25892977›Full record

ArticleInternational journal of MS care

Patient preferences for attributes of multiple sclerosis disease-modifying therapies: development and results of a ratings-based conjoint analysis.

Leslie S Wilson, Aimee Loucks, Gregory Gipson, Lixian Zhong, Christine Bui, Elizabeth Miller, Mary Owen, Daniel Pelletier, Douglas Goodin, Emmanuelle Waubant and 1 more

Abstract read
In one paragraph

Article in International journal of MS care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Association of medication adherence with treatment preferences: incentivizing truthful self-reporting.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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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

11 authors.

Leslie S WilsonDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Aimee LoucksDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Gregory GipsonDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Lixian ZhongDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Christine BuiDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Elizabeth MillerDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Mary OwenDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Daniel PelletierDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Douglas GoodinDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Emmanuelle WaubantDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).
Charles E McCullochDepartments of Clinical Pharmacy (LSW, GG, LZ, CB, EM), Neurology (MO, DG, EW), and Epidemiology and Biostatistics (CEM), University of California, San Francisco, San Francisco, CA, USA; Kaiser Permanente Drug Information Services, Kaiser Permanente, Oakland, CA, USA (AL); and Department of Diagnostic Radiology and Neurology, Yale University School of Medicine, New Haven, CT, USA (DP).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely individualized treatment is essential to improving relapsing-remitting multiple sclerosis (RRMS) patient health outcomes, yet little is known about how patients make treatment decisions. We sought to evaluate RRMS patient preferences for risks and benefits of treatment.

methodsFifty patients with RRMS completed conjoint analysis surveys with 16 hypothetical disease-modifying therapy (DMT) medication profiles developed using a fractional factorial design. Medication profiles were assigned preference ratings from 0 (not acceptable) to 10 (most favorable). Medication attributes included a range of benefits, adverse effects, administration routes, and market durations. Analytical models used linear mixed-effects regression.

resultsParticipants showed the highest preference for medication profiles that would improve their symptoms (β = 0.81-1.03, P < .001), not a proven DMT outcome. Preventing relapses, the main clinical trial outcome, was not associated with significant preferences (P = .35). Each year of preventing magnetic resonance imaging changes and disease symptom progression showed DMT preferences of 0.17 point (β = 0.17, P = .002) and 0.12 point (β = 0.12, P < .001), respectively. Daily oral administration was preferred over all parenteral routes (P < .001). A 1% increase in death or severe disability decreased relative DMT preference by 1.15 points (P < .001).

conclusionsPatient preference focused on symptoms and prevention of progression but not on relapse prevention, the proven drug outcome. Patients were willing to accept some level of serious risk for certain types and amounts of benefits, and they strongly preferred daily oral administration over all other options.

Identifiers

PMID25892977
PMCPMC4399770

What OpenQuestion holds

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Registered trials

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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.