Peer-reviewed article
Strategies to overcome barriers to the statistical representation of femicide data-a technical note.
Sarkar R, Bassed R, Ozanne-Smith J ·
Summary
Written by AI, not yet AICS's view ·Key points
Limitations
Abstract
Mortality data systems are upstream determinants of health, providing critical information on causes of death and population health trends and influencing health outcomes by shaping policies, research, and resource allocation. Moreover, the gender-related deaths of women and girls are significantly underrepresented or underrecognized in mortality data across many countries. This paper seeks to identify potential barriers and facilitators to improving the representation of femicide data. The primary barriers affecting data representation of femicide are related to definitions, data collection, coding, comparability, access, and systemic challenges. Key recommendations include establishing a nationwide consensus on the definition of femicide, updating training modules for medicolegal professionals, improving pathology reporting processes, ensuring quality assurance in documentation, refining coding practices, developing new analytic methods, and providing deidentified access to cases still under investigation.