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Association between pre-stroke frailty and post-discharge destination in acute stroke among Chinese older adults.
Top Stroke Rehabil
December 2024
Department of Nursing, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Aims: To investigate the association between pre-stroke frailty and discharge destination in hospitalized older adults in China.
Methods: We conducted this prospective cohort study in a tertiary care hospital in China. We enrolled patients aged 60 years and older admitted to the hospital for acute stroke from January 2022 to May 2022.
The Adelaide Score: prospective implementation of an artificial intelligence system to improve hospital and cost efficiency.
ANZ J Surg
January 2025
Lyell McEwin Hospital, Adelaide, South Australia, Australia.
Background: The Adelaide Score is an artificial intelligence system that integrates objective vital signs and laboratory tests to predict likelihood of hospital discharge.
Methods: A prospective implementation trial was conducted at the Lyell McEwin Hospital in South Australia. The Adelaide Score was added to existing human, artificial intelligence, and other technological infrastructure for the first 28 days of April 2024 (intervention), and outcomes were compared using parametric, non-parametric and health economic analyses, to those in the first 28 days of April 2023 (control).
Development of a patient-oriented transfer tool for transition from the intensive care unit to the ward: a mixed methods study.
Can J Anaesth
January 2025
Department of Medicine, Sinai Health and University of Toronto, Toronto, ON, Canada.
Purpose: The use of patient/family-centred written summaries to supplement verbal information may be useful to improve knowledge and reduce anxiety related to patient transfer from the intensive care unit (ICU) to a hospital ward. We aimed to identify essential elements to include in an ICU-specific patient-oriented discharge summary tool (PODS-ICU).
Methods: We conducted a mixed methods study.
Comparative Algorithms for Identifying and Counting Hospitalisation Episodes of Care for Coronary Heart Disease Using Administrative Data.
Clin Epidemiol
December 2024
Cardiovascular Epidemiology Research Centre, School of Population and Global Health, The University of Western Australia, Crawley, Western Australia, Australia.
Purpose: Measures of disease burden using hospital administrative data are susceptible to over-inflation if the patient is transferred during their episode of care. We aimed to identify and compare measures of coronary heart disease (CHD) and myocardial infarction (MI) episodes using six algorithms that account for transfers.
Patient And Methods: We used person-linked hospitalisations for CHD and MI for 2000-2016 in Western Australia based on the interval between discharge and subsequent admission (date, datetime algorithms), pathway (admission source, discharge destination) and any combination to generate machine learning models (random forest [RF], gradient boosting machine [GBM]).
Characteristics of Patients With Community-Acquired Pressure Injuries.
Nurs Open
January 2025
The Jikei University School of Nursing, Tokyo, Japan.
Aim: (1) To classify patients with community-acquired pressure injury (CAPI) according to the risk factors of PI and to assess validity of the classified groups. (2) To clarify characteristics of each group for CAPI prevention and care.
Design: This study is designed to classify CAPI patients into clusters based on a retrospective study of medical records, followed by cluster analysis and description of each cluster's characteristics.
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