Suchergebnisse

"This is the only book that systematically examines transgender sex work in the United States and globally. Bringing together perspectives from a rich range of disciplines and experiences, it is an invaluable resource on issues related to commercial sex in the transgender community and in the lives of trans sex workers, including mental health, substance use, relationship dynamics, encounters with the criminal justice system, and opportunities and challenges in the realm of public health. The volume covers trans sex workers' interactions with health, social service, and mental-health agencies, featuring more than forty contributors from across the globe. Synthesizing introductions by the editor help organize and put into context a vast and scattered research and empirical literature. The book is essential for researchers, health practitioners, and policy analysts in the areas of sex-work research, HIV/AIDS, and LGBTQ/gender studies."--Provided by publisher

Widespread availability of electronic health records coupled with sophisticated statistical methods offer great potential for a variety of applications for health and disease surveillance, developing predictive models and advancing decision support for clinicians. However, use of "big data" mining and discovery techniques has also raised ethical issues such as how to balance privacy and autonomy with the wider public benefits of data sharing. Furthermore, electronic data are being increasingly used to identify individual characteristics, which can be useful for clinical prediction and management, but were not previously disclosed to a clinician. This process in computer parlance is called electronic phenotyping, and has a number of ethical implications. Using the Belmont Report's principles of respect for persons, beneficence, and justice as a framework, we examined the ethical issues posed by electronic phenotyping. Ethical issues identified include the ability of the patient to consent for the use of their information, the ability to suppress pediatric information, ensuring that the potential benefits justify the risks of harm to patients, and acknowledging that the clinician's biases or stereotypes, conscious or unintended, may become a factor in the therapeutic interaction. We illustrate these issues with two vignettes, using the person characteristic of gender minority status (i.e., transgender identity) and health history characteristic of substance abuse. Data mining has the potential to uncover patient characteristics previously obscured, which can provide clinicians with beneficial clinical information. Hence, ethical guidelines must be updated to ensure that electronic phenotyping supports the principles of respect for persons, beneficence, and justice.