Background: Human trafficking (HT) is a human rights violation and public health issue. People with a history of HT are likely to see a physician during their exploitation. A screening tool was developed and implemented in a busy urban emergency department (ED) to aid in the identification of this population.
Objective: The objective was to retrospectively assess a HT screening tool implemented in an urban ED and evaluate the feasibility of the tool as a component of standard emergency care.
Methods: This was a retrospective observational study conducted at an urban adult ED after the implementation of an original 11-item HT screening tool. Adult patients 18 years and older were screened based on high-risk chief complaints, "red flag" risk factors, or provider gestalt. All patients with a positive screen were offered the opportunity to speak to a social worker, who then determined the patients' likely trafficking status. Data analysis was performed on this group of patients.
Results: A total of 26,974 patients were screened in the ED during 2019. Of these patients, 189 of them had a positive screen. A total of 37 patients were confirmed to have a likely sex trafficking status based on the federal definition. Eight of these patients elected to go to a community partner safe house. Positive responses to eight of the questions were significantly associated with likely sex trafficking status. Through regularized regression analysis, the predictive power of the screen was found to be derived from seven of the questions.
Conclusion: Through the implementation of this screening tool, providers in a busy urban ED were able to identify patients with an experience of sex trafficking and offer them resources using a trauma-informed approach. This study demonstrates the feasibility of implementation of screening in the ED and identifies seven of the questions used as predictive of likely sex trafficking.
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http://dx.doi.org/10.1111/acem.14313 | DOI Listing |
Sci Rep
December 2024
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
Texture analysis generates image parameters from F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). Although some parameters correlate with tumor biology and clinical attributes, their types and implications can be complex. To overcome this limitation, pseudotime analysis was applied to texture parameters to estimate changes in individual sample characteristics, and the prognostic significance of the estimated pseudotime of primary tumors was evaluated.
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December 2024
IRCCS SYNLAB SDN, Naples, 80143, Italy.
LAG3 plays a regulatory role in immunity and emerged as an inhibitory immune checkpoint molecule comparable to PD-L1 and CTLA-4 and a potential target for enhancing anti-cancer immune responses. We generated 3D cancer cultures as a model to identify novel molecular biomarkers for the selection of patients suitable for α-LAG3 treatment and simultaneously the possibility to perform an early diagnosis due to its higher presence in breast cancer, also to achieve a theragnostic approach. Our data confirm the extreme dysregulation of LAG3 in breast cancer with significantly higher expression in tumor tissue specimens, compared to non-cancerous tissue controls.
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December 2024
Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, No. 16766, Jingshi Road, Jinan, 250014, Shandong, People's Republic of China.
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound images to assist radiologists in distinguishing between benign breast lesions (BBL) and malignant breast lesions (MBL). A total of 382 patients with breast lesions were included, comprising 183 benign lesions and 199 malignant lesions that were collected and confirmed through clinical pathology or biopsy. The enrolled patients were randomly allocated into two groups: a training cohort and an independent test cohort, maintaining a ratio of 7:3.
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December 2024
Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China.
The monocyte-to-Apolipoprotein A1 ratio (MAR) emerges as a potentially valuable inflammatory biomarker indicative of metabolic dysfunction-associated fatty liver disease (MASLD). Accordingly, this investigation primarily aims to assess the correlation between MAR and MASLD risk. A cohort comprising 957 individuals diagnosed with type 2 diabetes mellitus (T2DM) participated in this study.
View Article and Find Full Text PDFAppl Health Econ Health Policy
December 2024
Health Systems and Health Economics, School of Public Health, Curtin University, Bentley, Perth, Australia.
Background: Women's preferences for time allocation reveal how they would like to prioritise market work, family life, and other competing activities. Whilst preferences may not always directly translate to behaviour, they are an important determinant of intention to act.
Objective: We present the first study to apply a discrete choice experiment (DCE) to investigate time allocation preferences among women diagnosed with breast cancer and women without a cancer diagnosis.
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