Evidence map›Paper›PMID 37060245›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2023

Employment status, productivity loss, and associated factors among people with multiple sclerosis.

Elisabet Rodriguez Llorian, Wei Zhang, Amir Khakban, Kristina Michaux, Scott Patten, Anthony Traboulsee, Jiwon Oh, Shannon Kolind, Alexandre Prat, Roger Tam and 1 more

Abstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Elisabet Rodriguez LlorianCollaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-3207-8916
Wei ZhangSchool of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada Centre for Health Evaluation and Outcome Sciences (CHÉOS), St. Paul's Hospital, Vancouver, BC, Canada.
Amir KhakbanCollaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Kristina MichauxCollaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Scott PattenDepartment of Psychiatry, University of Calgary, Calgary, AB, Canada.
Anthony TraboulseeDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Jiwon OhDivision of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Shannon KolindDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Alexandre PratDepartment of Neurology, Faculty of Medicine, Université de Montreal, Montreal, QC, Canada.
Roger TamSchool of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada.
Larry D LyndCollaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada Centre for Health Evaluation and Outcome Sciences (CHÉOS), St. Paul's Hospital, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple Sclerosis (MS) affects people in their most productive years of life. Consequently, MS can substantially affect employment and work-related outcomes.

objectivesThis study characterizes productivity loss and employment status of people with multiple sclerosis (pwMS) and investigates associated factors.

methodsWe used baseline data collected as part of the Canadian Prospective Cohort Study to Understand Progression in Multiple Sclerosis (CanProCo). Using the Valuation of Lost Productivity questionnaire, we measured MS-related paid work productivity loss for those employed, productivity losses incurred by those unemployed (i.e. lost employment time), and unpaid work productivity losses for all. A set of sociodemographic, disease, and performance-related factors were investigated using a two-part regression model for productivity loss and a multinomial logistic model for employment status.

resultsFrom the cohort of 888 pwMS enrolled at baseline (mostly showing mild to moderate disability), 75% were employed, and of those unemployed, 69% attributed their unemployment to health-related issues. Total productivity loss over a 3-month period averaged 64 and 395 hours for those employed and unemployed, respectively. Some factors that affected productivity loss and employment status included use of disease-modifying therapies, fatigue, and performance indicators such as cognitive processing speed.

conclusionProductivity loss experienced by employed and unemployed pwMS is substantial. Targeting the identified modifiable factors is likely to improve work productivity and permanence of MS patients in the workforce.

Indexed as

Multiple SclerosisCanadaEmploymentHumansProspective StudiesUnemploymentEmployment statusmultiple sclerosisproductivity loss

Identifiers

PMID37060245
PMCPMC10278386

What OpenQuestion holds

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LicenceCC BY
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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.