Human trafficking is an ongoing, global human rights crisis and one of the largest illicit industries worldwide. Although there are thousands of victims identified each year within the United States, the true extent of this problem remains unknown due to the paucity of data. Many victims seek care in the emergency department (ED) while being trafficked but are often not identified by clinicians due to lack of knowledge or misconceptions about trafficking.
View Article and Find Full Text PDFIntroduction: The Emergency Department (ED) acts as a safety net for our healthcare system. While studies have shown increased prevalence of social risks and needs among ED patients, there are many outstanding questions about the validity and use of social risks and needs screening tools in the ED setting.
Methods: In this paper, we present research gaps and priorities pertaining to social risks and needs screening tools used in the ED, identified through a consensus approach informed by literature review and external expert feedback as part of the 2021 SAEM Consensus Conference -- From Bedside to Policy: Advancing Social Emergency Medicine and Population Health.
Humanitarian responses to conflict and disasters due to natural hazards usually operate in contexts of resource scarcity and unmet demands for healthcare workers. Task shifting is one avenue for delivering needed health care in resource poor settings, and on-the-ground reports indicate that task shifting may be applicable in humanitarian contexts. However, a variety of obstacles currently restrict the ability to employ task shifting in these situations, including issues of regulation, accreditation, funding, and a lack of commonly agreed-upon core competencies for different categories of humanitarian health workers.
View Article and Find Full Text PDFThe purpose of this study was to test the effect of computer-generated, tailored feedback on the quality of chronic disease management for type 2 diabetes when provided to a patient prior to a scheduled physician visit. A stand-alone computer application was developed to provide tailored feedback aimed at empowering patients to engage more actively in their diabetes management. Adults with type 2 diabetes (n = 203) were randomly assigned to groups receiving either efficacy (positive) messages (n = 68), risk (negative) messages (n = 67), or to a delayed treatment control group (n = 68).
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