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Crit Care
January 2025
Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan.
Background: Intermediate care units (IMCUs) provide care for patients who need more intensive treatment than general wards but less than intensive care units (ICUs). Although the concept of an IMCU requires co-location with an ICU, some hospitals have IMCUs but no ICUs, which potentially worsens patient outcomes. This study aimed to examine the annual trends and care processes, and compare the outcomes of patients admitted to IMCUs in hospitals with and without ICUs using a nationwide inpatient database in Japan.
View Article and Find Full Text PDFJ Biomed Inform
January 2025
School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058 China; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA. Electronic address:
Objective: Current studies leveraging social media data for disease monitoring face challenges like noisy colloquial language and insufficient tracking of user disease progression in longitudinal data settings. This study aims to develop a pipeline for collecting, cleaning, and analyzing large-scale longitudinal social media data for disease monitoring, with a focus on COVID-19 pandemic.
Materials And Methods: This pipeline initiates by screening COVID-19 cases from tweets spanning February 1, 2020, to April 30, 2022.
Health Rep
January 2025
formerly with the Health Analysis Division, Statistics Canada.
Background: Statistics Canada routinely collects information on functional health and related concepts. Recently, the Washington Group on Disability Statistics (WG) measure of disability has been introduced to the Canadian Community Health Survey (CCHS). The WG measure is used as a tool for developing internationally comparable data on disability.
View Article and Find Full Text PDFZhonghua Yu Fang Yi Xue Za Zhi
January 2025
School of Public Health, Peking University, Beijing100191, China China Health Development Research Center, Peking University, Beijing100191, China.
To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027. The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!