Social Factors Influencing Decision-Making in Intracerebral Haemorrhage: A Survey among Neurology Professionals

Social factors seem to influence clinicians' prognostic assessments and management decisions in ICH cases, suggesting unconscious bias is present. These findings highlight the need for strategies to ensure equitable treatment, for example, bias-awareness training.

Authors

Institutions

Publication Details

Journal
Cerebrovascular Diseases
Published
2026-01-22
DOI
https://doi.org/10.1159/000550325
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social Factors Influencing Decision-Making in Intracerebral Haemorrhage: A Survey among Neurology Professionals

Christian Roth, Christopher Hopper, Markus Gehling, Johannes Matthaei et al.
Cerebrovascular Diseases
Intracerebral and Subarachnoid Hemorrhage Research
article

Social Factors Influencing Decision-Making in Intracerebral Haemorrhage: A Survey among Neurology Professionals

Christian Roth, Christopher Hopper, Markus Gehling, Johannes Matthaei, Gabor Nagy
article en

Abstract

Social factors seem to influence clinicians' prognostic assessments and management decisions in ICH cases, suggesting unconscious bias is present. These findings highlight the need for strategies to ensure equitable treatment, for example, bias-awareness training.

Cerebrovascular Diseases
University of Kassel (DE), Philipps University of Marburg (DE), Klinikum Kassel (DE)
Openalex Percentile: Top 81%
Intracerebral and Subarachnoid Hemorrhage Research
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.