Safeguarding People With Multiple Sclerosis From Domestic Violence

This Viewpoint examines the high prevalence, risk factors, health impacts, and underrecognition of domestic violence among people with multiple sclerosis and calls for improved clinician awareness, standardized research, and routine, trauma-informed safeguarding practices in neurology care.

Authors

Institutions

Publication Details

Journal
JAMA Neurology
Published
2026-05-11
DOI
https://doi.org/10.1001/jamaneurol.2026.1057
Primary Topic
Intimate Partner and Family Violence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safeguarding People With Multiple Sclerosis From Domestic Violence

Andrea Hollomotz, Helen L. Ford, Claudia H. Marck, Yvonne C. Learmonth
JAMA Neurology
Intimate Partner and Family Violence
article

Safeguarding People With Multiple Sclerosis From Domestic Violence

Andrea Hollomotz, Helen L. Ford, Claudia H. Marck, Yvonne C. Learmonth
article en

Abstract

This Viewpoint examines the high prevalence, risk factors, health impacts, and underrecognition of domestic violence among people with multiple sclerosis and calls for improved clinician awareness, standardized research, and routine, trauma-informed safeguarding practices in neurology care.

JAMA Neurology
University of Leeds (GB), New South Wales Department of Health (AU), Murdoch University (AU), Leeds Teaching Hospitals NHS Trust (GB), UNSW Sydney (AU), Melbourne Health (AU)
Gender equality
Openalex Percentile: Top 4%
Intimate Partner and Family Violence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.