Shared decision-making for multiple sclerosis using the MS-SUPPORT tool: a plain language summary

What is this summary about? The study was done to find out whether using an online tool called MS-SUPPORT can help people with multiple sclerosis (MS) and their healthcare providers (clinicians) work together when making treatment decisions. This may help people with MS start and stay with the best treatment plan and improve their quality of life. What are the key takeaways? The study found that most people with MS who used the online MS-SUPPORT tool were more likely to start a disease-modifying therapy (DMT) and more likely to follow the prescribed treatment plan. Additionally, they were also likely to recommend it to others and felt that it helped them talk to their doctors. The people who completed MS SUPPORT were more likely to say they understood their MS. They also had fewer days of poor mental health than those who did not use the MS-SUPPORT tool. What were the main conclusions reported by the researchers? These findings suggest the MS-SUPPORT tool can help people to 1) feel more confident talking to their doctors; 2) understand their MS symptoms better; 3) stick with their treatment; and 4) have better overall mental health. This tool may improve quality of life by improving communication with the clinician and engagement in the treatment journey. The findings of this study will help healthcare professionals and people with MS work together more effectively.

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Publication Details

Journal
Neurodegenerative Disease Management
Published
2025-05-04
DOI
https://doi.org/10.1080/17582024.2025.2493028
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

Shared decision-making for multiple sclerosis using the MS-SUPPORT tool: a plain language summary

Jennifer Chester, Andrew J Solomon, Carolina Ionete, Lori Pbert et al.
Neurodegenerative Disease Management
Statistical Methods in Clinical Trials
article

Shared decision-making for multiple sclerosis using the MS-SUPPORT tool: a plain language summary

Jennifer Chester, Andrew J Solomon, Carolina Ionete, Lori Pbert, Nananda F. Col, Enrique Álvarez, Vicky Springmann, Idanis Berrios Morales, Hannah V. Col, Crystal Iwuchukwu, Long Ngo, Christen Kutz, Terrie Livingston
article en

Abstract

What is this summary about? The study was done to find out whether using an online tool called MS-SUPPORT can help people with multiple sclerosis (MS) and their healthcare providers (clinicians) work together when making treatment decisions. This may help people with MS start and stay with the best treatment plan and improve their quality of life. What are the key takeaways? The study found that most people with MS who used the online MS-SUPPORT tool were more likely to start a disease-modifying therapy (DMT) and more likely to follow the prescribed treatment plan. Additionally, they were also likely to recommend it to others and felt that it helped them talk to their doctors. The people who completed MS SUPPORT were more likely to say they understood their MS. They also had fewer days of poor mental health than those who did not use the MS-SUPPORT tool. What were the main conclusions reported by the researchers? These findings suggest the MS-SUPPORT tool can help people to 1) feel more confident talking to their doctors; 2) understand their MS symptoms better; 3) stick with their treatment; and 4) have better overall mental health. This tool may improve quality of life by improving communication with the clinician and engagement in the treatment journey. The findings of this study will help healthcare professionals and people with MS work together more effectively.

Neurodegenerative Disease ManagementVol. 15(2-3)
University of Vermont (US), Beth Israel Deaconess Medical Center (US), Merck KGaA, Darmstadt (Germany) (DE), University of Massachusetts Chan Medical School (US), Colorado Springs Neurological Associates (US), SoutheastHEALTH (US), University of Colorado Denver (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 90%
Statistical Methods in Clinical Trials
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