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Title: Identifying Human Trafficking Victims in the Emergency Room: An Evaluation of an Identification Protocol Pilot Project for Front-Line Healthcare Providers Authors: Arduizur Carli Richie-Zavaleta, DrPH, MASP, MAIPS1; Teresita Hinnegan, MMS2; Nora Kramer, MSN, RN3; Anh Hua, MPA4; Anand Petigara, MSW4, Jeffrey Turner, MPH5; Stephan McDonald, MSN, RN6, & Joseph Anton6 Institutions:
- 1. Drexel University Dornsife School of Public Health & the University of New England
Online College of Graduate and Professional Studies
- 2. Center for the Empowerment of Women
- 3. Thomas Jefferson University Hospital Department of Nursing
- 4. Nationalities Service Center
- 5. Public Health Management Corporation Research
- 6. Thomas Jefferson University Hospital Emergency Department
Contacts: (Protocol) Anh Hua email: ahua@nscphila.org (Other inquiries) A. Carli Richie-Zavaleta arichiezavaleta@une.edu Abstract: Human Trafficking (HT) is defined as Modern Day Slavery. In the United States (US), HT is manifested mainly through sex and labor trafficking. Most sex trafficking victims are primarily US-natives and females. Although HT is a hidden crime, its victims at times seek medical care. However, many are unidentified due to a lack of training and identification protocols within healthcare settings. Literature on training of and identification-protocols for use by healthcare providers (HCP) are scant. Therefore, this pilot project evaluation aimed to assess providers’ confidence levels after attaining training on different areas of HT, and usefulness of an identification-protocol designed to facilitate victim detection and referral. This pilot-project was implemented at Thomas Jefferson University Hospital in Philadelphia, PA, among Emergency Department front-line personnel between January-August, 2016. Its evaluation used a single-group semi-time series design (0 X 0 0) as well as mixed-methods. Pre and post-tests were imparted at the initial time of training (N=12), followed by a post-test at 3- months (N=9). Analysis for quantitative data used a Paired Sample T-Test with a P < .05. Semi- structured interviews followed post-test assessment (N=3) and were analyzed using a thematic
- approach. Triangulation of data was accomplished by comparing QUAN and QUAL data sets