Evidence map›Paper›PMID 31325961›Full record

ArticleBMC neurology2019

Development and usability testing of a patient decision aid for newly diagnosed relapsing multiple sclerosis patients.

Nick Bansback, Judy A Chiu, Robert Carruthers, Rebecca Metcalfe, Emmanuelle Lapointe, Alice Schabas, Marilyn Lenzen, Larry D Lynd, Anthony Traboulsee

Abstract read
In one paragraph

Article in BMC neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Systematic Development of Patient Decision Aids: An Update from the IPDAS Collaboration.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Preliminary testing of a patient decision aid for patients with relapsing-remitting multiple sclerosis.Multiple sclerosis journal - experimental, translational and clinical
    Article
  11. 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

9 authors.

Nick BansbackSchool of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Judy A ChiuCentre for Health Evaluation & Outcome Sciences, St. Paul's Hospital, 1081 Burrard Street, Vancouver, British Columbia, V6Z 1Y6, Canada.
Robert CarruthersDivision of Neurology, University of British Columbia, Djavad Mowafaghian Center for Brain Health, 2215 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Rebecca MetcalfeSchool of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Emmanuelle LapointeDivision of Neurology, University of British Columbia, Djavad Mowafaghian Center for Brain Health, 2215 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Alice SchabasDivision of Neurology, University of British Columbia, Djavad Mowafaghian Center for Brain Health, 2215 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Marilyn Lenzen, Vancouver, British Columbia, Canada.
Larry D LyndFaculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Anthony TraboulseeDivision of Neurology, University of British Columbia, Djavad Mowafaghian Center for Brain Health, 2215 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada. t.traboulsee@ubc.ca.ORCID http://orcid.org/0000-0002-0351-9639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) patients often struggle with treatment decisions, in part due to the increasing number of approved disease modifying therapies, each with different characteristics, and also since physicians can struggle to identify which of these characteristics matter most to each individual patient. Decision uncertainty can contribute to late treatment initiation and treatment non-adherence-causes of 'undertreatment' in MS. An interactive online patient decision aid that informs patients of their options, considers their individual preferences and goals, and facilitates conversations with their physicians, could improve how patients with relapsing forms of MS make evidence-based treatment decisions.

objectiveTo develop and evaluate a prototype patient decision aid (PtDA) for first-line disease modifying therapies for relapsing-remitting multiple sclerosis.

methodsInformed by previous studies and International Patient Decision Aid Standards guidelines, a prototype PtDA was developed for patients with relapsing multiple sclerosis considering first line treatment. Patients with relapsing multiple sclerosis were recruited from the University of British Columbia's Multiple Sclerosis Clinic to participate in either an online survey or a focus group. Online survey participants completed the PtDA, followed by measures of acceptability, usability, and preparedness for decision-making, and provided general feedback. Focus group participants assessed usability of the revised PtDA. The analysis of qualitative and quantitative data led to improvements of the PtDA prototype.

resultsThe prototype PtDA received high ratings for acceptability and usability, and after its use, participants reported high-levels of preparedness for decision-making. Analysis of all qualitative data identified three key themes: the need for credible information; the usefulness of the PtDA; and the importance of normalizing and sharing experiences. Nine content areas were identified for revision. Overall, participants found the PtDA to be a valuable tool for facilitating treatment decisions.

conclusionsThis mixed methods study has led to the development of a PtDA that can support patients with RRMS as they make treatment decisions. Future studies will assess the feasibility of implementation and the impact of the PtDA on both the timely treatment initiation and longer-term adherence.

Indexed as

Decision Support TechniquesAdultDecision MakingFemaleFocus GroupsHumansMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingPatient Acceptance of Health CarePatient Education as TopicSurveys and QuestionnairesDecision aidDecision makingDisease-modifying therapyMultiple sclerosis

Identifiers

PMID31325961
PMCPMC6642472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.