Accelerating action in women's heart health

Heart disease is the leading cause of death in women, yet systemic gender disparities in diagnosis, treatment and outcomes persist. Addressing these challenges requires the integration of sex-specific research into clinical practice and reform of healthcare policies. This article highlights key issues in women's heart health, outlining strategies for equitable, evidence-based care.

Authors

Institutions

Publication Details

Journal
British Journal of Cardiac Nursing
Published
2025-03-02
DOI
https://doi.org/10.12968/bjca.2025.0013
Primary Topic
Cardiovascular Issues in Pregnancy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accelerating action in women's heart health

Maggie Simpson, Nurul H Abdul Samad, Maria F. Paton
British Journal of Cardiac Nursing
Cardiovascular Issues in Pregnancy
article

Accelerating action in women's heart health

Maggie Simpson, Nurul H Abdul Samad, Maria F. Paton
article en

Abstract

Heart disease is the leading cause of death in women, yet systemic gender disparities in diagnosis, treatment and outcomes persist. Addressing these challenges requires the integration of sex-specific research into clinical practice and reform of healthcare policies. This article highlights key issues in women's heart health, outlining strategies for equitable, evidence-based care.

British Journal of Cardiac NursingVol. 20(3)
University of Leeds (GB), University of Edinburgh (GB)
Openalex Percentile: Top 91%
Cardiovascular Issues in Pregnancy
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.