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Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015
OBJECTIVES: The Cardiff Model of data sharing for violence prevention is premised on the idea that the majority of injury cases presenting at health facilities as a result of interpersonal violence will not be reported to the police. The aim of this study was to determine the concordance between vio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9528606/ https://www.ncbi.nlm.nih.gov/pubmed/36180122 http://dx.doi.org/10.1136/bmjopen-2020-048129 |
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author | Jabar, Ardil Oni, Tolu London, Leslie Cois, Annibale Matzopoulos, Richard |
author_facet | Jabar, Ardil Oni, Tolu London, Leslie Cois, Annibale Matzopoulos, Richard |
author_sort | Jabar, Ardil |
collection | PubMed |
description | OBJECTIVES: The Cardiff Model of data sharing for violence prevention is premised on the idea that the majority of injury cases presenting at health facilities as a result of interpersonal violence will not be reported to the police. The aim of this study was to determine the concordance between violent crimes reported to the police with violence-related injuries presenting at health facilities in Cape Town, South Africa. METHODS: We conducted a retrospective analysis of secondary cross-sectional health and police data, from three health facilities and three police stations in the community of Khayelitsha, Cape Town. 781 cases of injuries arising from interpersonal violence seen at health facilities were compared with 739 violence-related crimes reported at police stations over five separate week-long sampling periods from 2013 to 2015. Personal identifiers, name and surname, were used to match cases. RESULTS: Of the 708 cases presenting at health facilities, 104 (14.7%) were matched with police records. The addition of non-reported cases of violence-related injuries from the health dataset to the police-reported crime statistics resulted in an 81.7% increase in potential total violent crimes over the reporting period. Compared with incidents reported to the police, those not reported were more likely to involve male patients (difference: +47.0%; p<0.001) and sharp object injuries (difference: +24.7%; p<0.001). Push/kick/punch injuries were more frequent among reporting than non-reporting patients (difference: +17.5%; p<0.001). CONCLUSION: These findings suggest that the majority of injuries arising from interpersonal violence presenting at health facilities in Khayelitsha are not reported to the police. A data-sharing model between health services and the police should be implemented to inform violence surveillance and reduction. |
format | Online Article Text |
id | pubmed-9528606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-95286062022-10-04 Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 Jabar, Ardil Oni, Tolu London, Leslie Cois, Annibale Matzopoulos, Richard BMJ Open Public Health OBJECTIVES: The Cardiff Model of data sharing for violence prevention is premised on the idea that the majority of injury cases presenting at health facilities as a result of interpersonal violence will not be reported to the police. The aim of this study was to determine the concordance between violent crimes reported to the police with violence-related injuries presenting at health facilities in Cape Town, South Africa. METHODS: We conducted a retrospective analysis of secondary cross-sectional health and police data, from three health facilities and three police stations in the community of Khayelitsha, Cape Town. 781 cases of injuries arising from interpersonal violence seen at health facilities were compared with 739 violence-related crimes reported at police stations over five separate week-long sampling periods from 2013 to 2015. Personal identifiers, name and surname, were used to match cases. RESULTS: Of the 708 cases presenting at health facilities, 104 (14.7%) were matched with police records. The addition of non-reported cases of violence-related injuries from the health dataset to the police-reported crime statistics resulted in an 81.7% increase in potential total violent crimes over the reporting period. Compared with incidents reported to the police, those not reported were more likely to involve male patients (difference: +47.0%; p<0.001) and sharp object injuries (difference: +24.7%; p<0.001). Push/kick/punch injuries were more frequent among reporting than non-reporting patients (difference: +17.5%; p<0.001). CONCLUSION: These findings suggest that the majority of injuries arising from interpersonal violence presenting at health facilities in Khayelitsha are not reported to the police. A data-sharing model between health services and the police should be implemented to inform violence surveillance and reduction. BMJ Publishing Group 2022-09-30 /pmc/articles/PMC9528606/ /pubmed/36180122 http://dx.doi.org/10.1136/bmjopen-2020-048129 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Public Health Jabar, Ardil Oni, Tolu London, Leslie Cois, Annibale Matzopoulos, Richard Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 |
title | Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 |
title_full | Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 |
title_fullStr | Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 |
title_full_unstemmed | Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 |
title_short | Matching study using health and police datasets for characterising interpersonal violence in the community of Khayelitsha, South Africa 2013–2015 |
title_sort | matching study using health and police datasets for characterising interpersonal violence in the community of khayelitsha, south africa 2013–2015 |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9528606/ https://www.ncbi.nlm.nih.gov/pubmed/36180122 http://dx.doi.org/10.1136/bmjopen-2020-048129 |
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