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Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo

BACKGROUND: Both conflict and non-conflict sexual violence have been well described in the Democratic Republic of Congo (DRC). However, there is little empiric data comparing sexual violence patterns for males and females in the DRC, and little is known about how post-sexual assault care experiences...

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Autores principales: Lussy, Justin Paluku, Dube, Annie, Lusi, Jonathan Kasereka M., Kikoli, Aurélien Mahamba, Mukekulu, Eugénie Kamabu, Bartels, Susan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300987/
https://www.ncbi.nlm.nih.gov/pubmed/34301289
http://dx.doi.org/10.1186/s13031-021-00398-x
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author Lussy, Justin Paluku
Dube, Annie
Lusi, Jonathan Kasereka M.
Kikoli, Aurélien Mahamba
Mukekulu, Eugénie Kamabu
Bartels, Susan A.
author_facet Lussy, Justin Paluku
Dube, Annie
Lusi, Jonathan Kasereka M.
Kikoli, Aurélien Mahamba
Mukekulu, Eugénie Kamabu
Bartels, Susan A.
author_sort Lussy, Justin Paluku
collection PubMed
description BACKGROUND: Both conflict and non-conflict sexual violence have been well described in the Democratic Republic of Congo (DRC). However, there is little empiric data comparing sexual violence patterns for males and females in the DRC, and little is known about how post-sexual assault care experiences may differ between the two sexes. METHODS: This was a retrospective, registry-based study at HEAL Africa Hospital. Researchers extracted and analyzed available data for all patients seeking post-sexual assault care between July 2013 and December 2017. Comparative analysis was conducted using SAS to document patterns of sexual violence among male and female survivors and to describe the clinical management of males and females seeking post-assault care. RESULTS: Between July 2013 and December 2017, the hospital provided post-sexual assault care to 1766 patients (1623 female and 93 male). Female survivors were more likely to be minors under the age 18 (p < 0.0001) with a mean age 16.5 years versus 22.3 years for males. For both sexes, approximately half of all perpetrators were civilians who were known to the survivor (friends, family members, colleagues or neighbors). After sexual assault, males (79.6%) were more likely than females (55.7%) to present to the hospital within 72 h (p-value < 0.0001). Among female patients, 12% had a positive pregnancy test at the time of presentation and another 43% received emergency contraception. Male survivors were more likely to test positive for HIV (p-value = 0.0032) and to receive HIV post-exposure prophylaxis as well as prophylactic antibiotics (p-value < 0.0001). CONCLUSIONS: In this single-centre registry, non-conflict-related sexual violence affected both women and girls as well as men and boys in North Kivu with civilian-perpetrated assaults being most common, and girls under the age of 18 being disproportionately affected. Overall, delays to seeking post-assault care appear to have decreased over time, although females presented later than males. These differences, as well as sex discrepancies in receiving HIV prophylaxis and prophylactic antibiotics, are not well understood. Additional research is needed to understand these phenomena such that equitable and optimal care can be ensured for both female and male sexual violence survivors.
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spelling pubmed-83009872021-07-26 Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo Lussy, Justin Paluku Dube, Annie Lusi, Jonathan Kasereka M. Kikoli, Aurélien Mahamba Mukekulu, Eugénie Kamabu Bartels, Susan A. Confl Health Research BACKGROUND: Both conflict and non-conflict sexual violence have been well described in the Democratic Republic of Congo (DRC). However, there is little empiric data comparing sexual violence patterns for males and females in the DRC, and little is known about how post-sexual assault care experiences may differ between the two sexes. METHODS: This was a retrospective, registry-based study at HEAL Africa Hospital. Researchers extracted and analyzed available data for all patients seeking post-sexual assault care between July 2013 and December 2017. Comparative analysis was conducted using SAS to document patterns of sexual violence among male and female survivors and to describe the clinical management of males and females seeking post-assault care. RESULTS: Between July 2013 and December 2017, the hospital provided post-sexual assault care to 1766 patients (1623 female and 93 male). Female survivors were more likely to be minors under the age 18 (p < 0.0001) with a mean age 16.5 years versus 22.3 years for males. For both sexes, approximately half of all perpetrators were civilians who were known to the survivor (friends, family members, colleagues or neighbors). After sexual assault, males (79.6%) were more likely than females (55.7%) to present to the hospital within 72 h (p-value < 0.0001). Among female patients, 12% had a positive pregnancy test at the time of presentation and another 43% received emergency contraception. Male survivors were more likely to test positive for HIV (p-value = 0.0032) and to receive HIV post-exposure prophylaxis as well as prophylactic antibiotics (p-value < 0.0001). CONCLUSIONS: In this single-centre registry, non-conflict-related sexual violence affected both women and girls as well as men and boys in North Kivu with civilian-perpetrated assaults being most common, and girls under the age of 18 being disproportionately affected. Overall, delays to seeking post-assault care appear to have decreased over time, although females presented later than males. These differences, as well as sex discrepancies in receiving HIV prophylaxis and prophylactic antibiotics, are not well understood. Additional research is needed to understand these phenomena such that equitable and optimal care can be ensured for both female and male sexual violence survivors. BioMed Central 2021-07-23 /pmc/articles/PMC8300987/ /pubmed/34301289 http://dx.doi.org/10.1186/s13031-021-00398-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lussy, Justin Paluku
Dube, Annie
Lusi, Jonathan Kasereka M.
Kikoli, Aurélien Mahamba
Mukekulu, Eugénie Kamabu
Bartels, Susan A.
Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo
title Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo
title_full Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo
title_fullStr Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo
title_full_unstemmed Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo
title_short Trends in sexual violence patterns and case management: a sex disaggregated analysis in Goma, Democratic Republic of Congo
title_sort trends in sexual violence patterns and case management: a sex disaggregated analysis in goma, democratic republic of congo
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300987/
https://www.ncbi.nlm.nih.gov/pubmed/34301289
http://dx.doi.org/10.1186/s13031-021-00398-x
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