Institution
PSU
Presentation Type
Presentation
Room Location
Smith Memorial Student Union, Room 294
Start Date
April 2019
End Date
April 2019
Rights
© Copyright the author(s)
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Persistent Identifier
https://archives.pdx.edu/ds/psu/30965
Abstract
Sexual and gender minority populations are not currently being accurately tracked or counted in most domestic violence (DV) and intimate partner violence (IPV) surveillance programs in Oregon. However, research indicates that LGBTQ+ populations experience IPV at rates comparable or even higher than heterosexual populations. Additionally, distrust of law enforcement and services designed around heterosexual experiences of IPV further reduce the ability of LGBTQ+ populations, particularly transgender women, to access IPV services. We propose that through the use of a PRECEED-PROCEED model, a program could be developed to more accurately collect sexual orientation and gender identity data by IPV service providers in Oregon in order to ensure that programs are accessible and relevant, regardless of sexual orientation or gender identity. Utilizing a theory-informed approach based on the social ecological model, we propose a program for improving the accuracy of data collection and awareness of IPV in LGBTQ+ communities as a tool to reduce health disparities.
Included in
Community Health and Preventive Medicine Commons, Other Anthropology Commons, Public Health Education and Promotion Commons, Social and Cultural Anthropology Commons
A Data Collection Program for Reducing IPV in LGBTQ+ Communities
Smith Memorial Student Union, Room 294
Sexual and gender minority populations are not currently being accurately tracked or counted in most domestic violence (DV) and intimate partner violence (IPV) surveillance programs in Oregon. However, research indicates that LGBTQ+ populations experience IPV at rates comparable or even higher than heterosexual populations. Additionally, distrust of law enforcement and services designed around heterosexual experiences of IPV further reduce the ability of LGBTQ+ populations, particularly transgender women, to access IPV services. We propose that through the use of a PRECEED-PROCEED model, a program could be developed to more accurately collect sexual orientation and gender identity data by IPV service providers in Oregon in order to ensure that programs are accessible and relevant, regardless of sexual orientation or gender identity. Utilizing a theory-informed approach based on the social ecological model, we propose a program for improving the accuracy of data collection and awareness of IPV in LGBTQ+ communities as a tool to reduce health disparities.