Data regarding racial and ethnic enrollment diversity for acute myeloid leukemia (AML) and acute lymphoid leukemia (ALL) clinical trials in the United States are limited, and little is known about the effect of federal reporting requirements instituted in the late 2000s. We examined demographic data reporting and enrollment diversity for ALL and AML trials in the United States from 2002 to 2017, as well as changes in reporting and diversity after reporting requirements were instituted.
Data-driven digital health technologies have the power to transform health care. If these tools could be sustainably delivered at scale, they might have the potential to provide everyone, everywhere, with equitable access to expert-level care, narrowing the global health and wellbeing gap. Conversely, it is highly possible that these transformative technologies could exacerbate existing health-care inequalities instead.
This Comment supports SDGs 3 and 10 by highlighting the role of data scientists in challenging racism and discrimination. The Comment highlights how structural inequalities in society are easily encoded in datasets and in the application of data science, which can reinforce existing injustices.
Background: Sexual dysfunction and sexual distress are common during pregnancy, but the effects of exposure to sexual violence on sexual dysfunction and sexual distress in pregnant women is unknown. Aim: The aim of this study was to determine the effects of sexual violence on female sexual dysfunction and sexual distress. Methods: This is a descriptive study. Data were collected between December 2019 and April 2020 from 605 pregnant women.
Background: The aim of this study is to use classification methods to predict future onset of Alzheimer's disease in cognitively normal subjects through automated linguistic analysis. Methods: To study linguistic performance as an early biomarker of AD, we performed predictive modeling of future diagnosis of AD from a cognitively normal baseline of Framingham Heart Study participants. The linguistic variables were derived from written responses to the cookie-theft picture-description task.
This study supports SDGs 3 and 6 by analysing data from 88 low-income and middle-income countries and showing geographical disparities in access to clean water and sanitation facilities. These findings identify where efforts to increase access to safe water and sanitation have been successful over time, and highlight the need for targeted and tailored interventions to reach those communities and regions that have been left behind.
Introduction: This study investigates staff's perspectives on the characteristics required to work in a sexual assault referral centre and the support and training they believe sexual assault referral centres should provide to minimise the negative impacts of the work and provide a supportive working environment. Methods: Semi- structured interviews were conducted with 12 staff, and a focus group was held with a further four staff of a sexual assault referral centre. The data were examined using thematic analysis.
