What individual, family, and school factors influence the identification of special educational needs in Wales?

Background: Previous national and international research has investigated potential patterns of SEN identification, in which there may be overrepresentation of males, individuals from lower socio-economic backgrounds, and pupils attending schools in economically disadvantaged areas.

Aims: The aim of the current study is to link administrative education data for the academic year 2011/12 to data from the UK 2011 Census to explore which individual, family and school characteristics are associated with SEN identification.

Sample(s): The analysis sample consists of 284,010 pupils attending schools in Wales in 2011/12 linked to household data from the UK 2011 Census.

TDP-43 Aggregate Seeding Impairs Autoregulation and Causes TDP-43 Dysfunction.

The aggregation, cellular mislocalization and dysfunction of TDP-43 are hallmarks of multiple neurodegenerative disorders. We find that inducing TDP-43 aggregation through prion-like seeding gradually diminishes normal TDP-43 nuclear localization and function. Aggregate-affected cells show signature features of TDP-43 loss of function, such as DNA damage and dysregulated TDP-43-target expression.

Prediction of Intensive Care Length of Stay for Surviving and Nonsurviving Patients Using Deep Learning.

Objectives: Length of stay (LOS) models support evaluating ICU care; however, current benchmarking models fail to consider differences in LOS between surviving and nonsurviving patients, which can lead to biased predictions toward the surviving population. We aim to develop a model addressing this as well as documentation bias to improve ICU benchmarking.

Design: The Critical Care Outcomes Prediction Model (CCOPM) LOS uses patient characteristics, vitals, and laboratories during the first 24 hours of ICU admission to predict LOS in the hospital and ICU using a deep learning framework for modeling time to events with competing risk.

Exploring Preferences for Communication and Care among Hospitalized Patients with Opioid Use Disorder: A Qualitative Descriptive Study.

Objective: The aim of the study was to explore hospitalized patient priorities for effective communication and care in opioid use disorder (OUD).

Methods: In this qualitative descriptive study, we conducted semistructured interviews from April to August 2022 focusing on communication values with inpatient care teams among hospitalized patients with OUD in Philadelphia, PA. Interviews were recorded, transcribed, and analyzed with thematic content analysis.

A qualitative study exploring the feasibility and acceptability of embedding an overdose prevention sites in a U.S. hospital.

Introduction: Community-based overdose prevention sites (OPS) are recognized for reducing overdose deaths and the spread of HIV and hepatitis C among people who use drugs (PWUD). While some hospitals in Europe and Canada have successfully integrated OPS into their facilities, such integration remains illegal in the United States. This study explores the feasibility and acceptability of implementing an OPS at the Hospital of the University of Pennsylvania (HUP), situated in an urban area with high rates of overdose.