A shared data approach more accurately represents the rates and patterns of violence with injury assaults

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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A shared data approach more accurately represents the rates and patterns of violence with injury assaults. / Gray, Benjamin J; Barton, Emma R; Davies, Alisha R et al.
Yn: Journal of Epidemiology and Community Health, Cyfrol 71, Rhif 12, 12.2017, t. 1218-1224.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Gray, BJ, Barton, ER, Davies, AR, Long, SJ, Roderick, J & Bellis, MA 2017, 'A shared data approach more accurately represents the rates and patterns of violence with injury assaults', Journal of Epidemiology and Community Health, cyfrol. 71, rhif 12, tt. 1218-1224. https://doi.org/10.1136/jech-2017-209872

APA

Gray, B. J., Barton, E. R., Davies, A. R., Long, S. J., Roderick, J., & Bellis, M. A. (2017). A shared data approach more accurately represents the rates and patterns of violence with injury assaults. Journal of Epidemiology and Community Health, 71(12), 1218-1224. https://doi.org/10.1136/jech-2017-209872

CBE

Gray BJ, Barton ER, Davies AR, Long SJ, Roderick J, Bellis MA. 2017. A shared data approach more accurately represents the rates and patterns of violence with injury assaults. Journal of Epidemiology and Community Health. 71(12):1218-1224. https://doi.org/10.1136/jech-2017-209872

MLA

VancouverVancouver

Gray BJ, Barton ER, Davies AR, Long SJ, Roderick J, Bellis MA. A shared data approach more accurately represents the rates and patterns of violence with injury assaults. Journal of Epidemiology and Community Health. 2017 Rhag;71(12):1218-1224. Epub 2017 Tach 7. doi: 10.1136/jech-2017-209872

Author

Gray, Benjamin J ; Barton, Emma R ; Davies, Alisha R et al. / A shared data approach more accurately represents the rates and patterns of violence with injury assaults. Yn: Journal of Epidemiology and Community Health. 2017 ; Cyfrol 71, Rhif 12. tt. 1218-1224.

RIS

TY - JOUR

T1 - A shared data approach more accurately represents the rates and patterns of violence with injury assaults

AU - Gray, Benjamin J

AU - Barton, Emma R

AU - Davies, Alisha R

AU - Long, Sara J

AU - Roderick, Janine

AU - Bellis, Mark A

N1 - © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

PY - 2017/12

Y1 - 2017/12

N2 - BACKGROUND: To investigate whether sharing and linking routinely collected violence data across health and criminal justice systems can provide a more comprehensive understanding of violence, establish patterns of under-reporting and better inform the development, implementation and evaluation of violence prevention initiatives.METHODS: Police violence with injury (VWI) crimed data and emergency department (ED) assault attendee data for South Wales were collected between 1 April 2014 and 31 March 2016 to examine the rates and patterns of VWI. Person identifiable data (PID) were cross-referenced to establish if certain victims or events were less likely to be reported to criminal justice services.RESULTS: A total of 18 316 police crimed VWI victims and 10 260 individual ED attendances with an assault-related injury were considered. The majority of ED assault attendances (59.0%) were unknown to police. The key demographic identified as under-reporting to police were young males aged 18-34 years, while a significant amount of non-reported assaults involved a stranger. The combined monthly age-standardised rates were recalculated and on average were 74.7 (95% CI 72.1 to 77.2) and 66.1 (95% CI 64.0 to 68.2) per 100 000 population for males and females, respectively. Consideration of the additional ED cases resulted in a 35.3% and 18.1% increase on the original police totals for male and female VWI victims.CONCLUSIONS: This study identified that violence is currently undermeasured, demonstrated the importance of continued sharing of routinely collected ED data and highlighted the benefits of using PID from a number of services in a linked way to provide a more comprehensive picture of violence.

AB - BACKGROUND: To investigate whether sharing and linking routinely collected violence data across health and criminal justice systems can provide a more comprehensive understanding of violence, establish patterns of under-reporting and better inform the development, implementation and evaluation of violence prevention initiatives.METHODS: Police violence with injury (VWI) crimed data and emergency department (ED) assault attendee data for South Wales were collected between 1 April 2014 and 31 March 2016 to examine the rates and patterns of VWI. Person identifiable data (PID) were cross-referenced to establish if certain victims or events were less likely to be reported to criminal justice services.RESULTS: A total of 18 316 police crimed VWI victims and 10 260 individual ED attendances with an assault-related injury were considered. The majority of ED assault attendances (59.0%) were unknown to police. The key demographic identified as under-reporting to police were young males aged 18-34 years, while a significant amount of non-reported assaults involved a stranger. The combined monthly age-standardised rates were recalculated and on average were 74.7 (95% CI 72.1 to 77.2) and 66.1 (95% CI 64.0 to 68.2) per 100 000 population for males and females, respectively. Consideration of the additional ED cases resulted in a 35.3% and 18.1% increase on the original police totals for male and female VWI victims.CONCLUSIONS: This study identified that violence is currently undermeasured, demonstrated the importance of continued sharing of routinely collected ED data and highlighted the benefits of using PID from a number of services in a linked way to provide a more comprehensive picture of violence.

KW - Journal Article

U2 - 10.1136/jech-2017-209872

DO - 10.1136/jech-2017-209872

M3 - Article

C2 - 29056592

VL - 71

SP - 1218

EP - 1224

JO - Journal of Epidemiology and Community Health

JF - Journal of Epidemiology and Community Health

SN - 0143-005X

IS - 12

ER -