volume 139 issue 3 pages 1343-1352

Strategies to overcome barriers to the statistical representation of femicide data-a technical note

Publication typeJournal Article
Publication date2025-01-27
scimago Q1
wos Q2
SJR0.931
CiteScore5.2
Impact factor2.3
ISSN09379827, 14371596
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.

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Sarkar R. et al. Strategies to overcome barriers to the statistical representation of femicide data-a technical note // International Journal of Legal Medicine. 2025. Vol. 139. No. 3. pp. 1343-1352.
GOST all authors (up to 50) Copy
Sarkar R., Bassed R. B., Ozanne-Smith J. Strategies to overcome barriers to the statistical representation of femicide data-a technical note // International Journal of Legal Medicine. 2025. Vol. 139. No. 3. pp. 1343-1352.
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TY - JOUR
DO - 10.1007/s00414-025-03419-z
UR - https://link.springer.com/10.1007/s00414-025-03419-z
TI - Strategies to overcome barriers to the statistical representation of femicide data-a technical note
T2 - International Journal of Legal Medicine
AU - Sarkar, Reena
AU - Bassed, Richard B
AU - Ozanne-Smith, Joan
PY - 2025
DA - 2025/01/27
PB - Springer Nature
SP - 1343-1352
IS - 3
VL - 139
SN - 0937-9827
SN - 1437-1596
ER -
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BibTex (up to 50 authors) Copy
@article{2025_Sarkar,
author = {Reena Sarkar and Richard B Bassed and Joan Ozanne-Smith},
title = {Strategies to overcome barriers to the statistical representation of femicide data-a technical note},
journal = {International Journal of Legal Medicine},
year = {2025},
volume = {139},
publisher = {Springer Nature},
month = {jan},
url = {https://link.springer.com/10.1007/s00414-025-03419-z},
number = {3},
pages = {1343--1352},
doi = {10.1007/s00414-025-03419-z}
}
MLA
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MLA Copy
Sarkar, Reena, et al. “Strategies to overcome barriers to the statistical representation of femicide data-a technical note.” International Journal of Legal Medicine, vol. 139, no. 3, Jan. 2025, pp. 1343-1352. https://link.springer.com/10.1007/s00414-025-03419-z.