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A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack

Abstract:

BACKGROUND: Falls are common in people with multiple sclerosis (MS), causing injuries, fear of falling, and loss of independence. Although targeted interventions (physical therapy) can help, patients underreport and clinicians undertreat this issue. Patient-generated data, combined with clinical data, can support the prediction of falls and lead to timely intervention (including referral to specialized physical therapy). To be actionable, such data must be efficiently delivered to clinicians,...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.2196/49331

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Role:
Author
ORCID:
0000-0001-6199-5484
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Role:
Author
ORCID:
0000-0002-0612-0738
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Role:
Author
ORCID:
0009-0006-1561-6547
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Role:
Author
ORCID:
0000-0001-8987-4908
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Role:
Author
ORCID:
0000-0003-4552-9832


Publisher:
JMIR Publications
Journal:
JMIR Human Factors More from this journal
Volume:
11
Pages:
e49331-e49331
Publication date:
2023-10-19
DOI:
EISSN:
2292-9495
ISSN:
2292-9495


Language:
English
Keywords:
Pubs id:
2001638
Local pid:
pubs:2001638
Source identifiers:
W4387787105
Deposit date:
2026-06-11
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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