Collaboration strategies affecting implementation of a cross-systems intervention for child welfare and substance use treatment: a mixed methods analysis.

Background: Collaboration strategies refer to policies and practices used to align operations and services across organizations or systems. These strategies can influence implementation of cross-system interventions focused on improving integration of care, but remain under-specified and under-examined. This study identifies collaboration strategies and the conditions under which they affected implementation of Sobriety Treatment and Recovery Teams (START), an evidence-based intervention focused on integrating child welfare and behavioral health services for families involved with both systems.

Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach.

Background: For patients with breast cancer undergoing neoadjuvant chemotherapy (NACT), most of the existing prediction models of pathologic complete response (pCR) using clinicopathological features were based on standard statistical models like logistic regression, while models based on machine learning mostly utilized imaging data and/or gene expression data. This study aims to develop a robust and accessible machine learning model to predict pCR using clinicopathological features alone, which can be used to facilitate clinical decision-making in diverse settings.

Methods: The model was developed and validated within the National Cancer Data Base (NCDB, 2018-2020) and an external cohort at the University of Chicago (2010-2020).

Hypothermia and the Global War on Terror: 18 Years of Minimal Progress.

Introduction: The association between hypothermia, coagulopathy, and acidosis in trauma is well described. Hypothermia mitigation starts in the prehospital setting; however, it is often a secondary focus after other life-saving interventions. The deployed environment further compounds the problem due to prolonged evacuation times in rotary wing aircraft, resource limitations, and competing priorities.

Who Says You can't go FAST at Night? Use of a Novel Ultrasound-Capable Night Vision Device for Prehospital Medical Personnel to Identify Noncompressible Truncal Hemorrhage.

Background: Early detection of abdominal hemorrhage via ultrasound has life-saving implications for military and civilian trauma. However, strict adherence to light discipline may prohibit the use of ultrasound devices in the deployed setting. Additionally, current night vision devices remain noncompatible with ultrasound technology.