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http://dx.doi.org/10.1111/jgs.19084 | DOI Listing |
BMC Health Serv Res
January 2025
ORCHID Centre for Outcomes and Experience Research in Child Health, Illness and Disability Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Background: During COVID-19 pandemic, a rapid readjustment to continued delivery of healthcare was required. Redeployment is an intentional process to mobilise human resources by reassigning a healthcare worker to a new role or new work location, to achieve sustainable delivery of patient care. We report redeployment experiences of staff from a specialist children's hospital during first and second waves of the United Kingdom COVID-19 pandemic.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Institute for Health Services Research and Clinical Epidemiology, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany.
Background: The COVID-19 pandemic entailed a global health crisis, significantly affecting medical service delivery in Germany as well as elsewhere. While intensive care capacities were overloaded by COVID cases, not only elective cases but also non-COVID cases requiring urgent treatment unexpectedly decreased, potentially leading to a deterioration in health outcomes. However, these developments were only uncovered retrospectively.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Background: The Getting Older Adults Outdoors (GO-OUT) randomized controlled trial showed that a workshop and 10-week park-based outdoor walk group (OWG) was superior to the workshop and 10 weekly reminders (WR) with increasing walking capacity, but not outdoor walking activity, health-promoting behavior, or successful aging, among older adults with difficulty walking outdoors. The objective of this planned process evaluation was to explore participants' perceptions of mechanisms of impact of and contextual factors influencing experiences with the interventions to help explain the observed intervention effects on study outcomes.
Methods: A qualitative descriptive study involving semi-structured interviews conducted at 6-months post-baseline was conducted.
BMC Bioinformatics
January 2025
Centro de Salud Retiro, Hospital Universitario Gregorio Marañon, C/Lope de Rueda, 43, 28009, Madrid, Spain.
Background: Natural language processing (NLP) enables the extraction of information embedded within unstructured texts, such as clinical case reports and trial eligibility criteria. By identifying relevant medical concepts, NLP facilitates the generation of structured and actionable data, supporting complex tasks like cohort identification and the analysis of clinical records. To accomplish those tasks, we introduce a deep learning-based and lexicon-based named entity recognition (NER) tool for texts in Spanish.
View Article and Find Full Text PDFNat Mater
January 2025
Department of Fundamental Engineering, Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Supercooled liquids display sluggish dynamics, often attributed to their structural characteristics, yet the underlying mechanism remains elusive. Here we conduct numerical investigations into the structure-dynamics relationship in model glass-forming liquids, with a specific focus on an elementary particle rearrangement mode known as the 'T1 process'. We discover that the ability of a T1 process to preserve glassy structural order before and after is pivotal towards determining a liquid's fragility-whether it exhibits super-Arrhenius-like or Arrhenius-like behaviour.
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