The Spinal Cord Injury (SCI) Standing and Walking Assessment Tool (SWAT) combines stages of walking recovery with measures of balance and walking. It standardizes the timing and content of walking assessment in inpatient rehabilitation. The study aims were: (1) Evaluate the content validity of the SWAT stages of walking recovery, and (2) Understand physical therapists' (PTs) experiences using the SWAT to gauge acceptance, implementation and impact. Qualitative, exploratory study. Nine Canadian rehabilitation hospitals. Thirty-four PTs who had used the SWAT ≥10 times. Seven focus group meetings were completed. Semi-structured questions queried the content, order and spacing of SWAT stages, and current SWAT use (i.e. processes, challenges, facilitators, impact on practice). Meetings were audio-recorded and transcribed. Themes and categories were derived through a conventional content analysis. Not applicable. PTs agreed with the ordering and content of the SWAT stages, but reported unequal spacing between stages. Three themes related to PTs' use of the SWAT were identified: (1) Variable process: SWAT implementation varied across sites, PTs and patients. (2) Implementation challenges: unfamiliarity of the SWAT, lack of time, not required by place of work, and patients who are outliers or have poor gait quality. (3) Potential to influence clinical decision-making: the SWAT did not influence clinical decisions, but PTs recognized the potential of the tool to do so. Content validity of the SWAT stages was supported and implementation challenges identified. Variability in SWAT implementation may reflect the heterogeneity and person-centeredness of SCI rehabilitation.
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http://dx.doi.org/10.1080/10790268.2019.1616148 | DOI Listing |
Brain
December 2024
Department of Neuromuscular diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.
Retinoblastoma (RB) proteins are highly conserved transcriptional regulators that play important roles during development by regulating cell-cycle gene expression. RBL2 dysfunction has been linked to a severe neurodevelopmental disorder. However, to date, clinical features have only been described in six individuals carrying five biallelic predicted loss of function (pLOF) variants.
View Article and Find Full Text PDFPeerJ Comput Sci
January 2024
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Riyadh, Saudi Arabia.
In the realm of medical imaging, the early detection of kidney issues, particularly renal cell hydronephrosis, holds immense importance. Traditionally, the identification of such conditions within ultrasound images has relied on manual analysis, a labor-intensive and error-prone process. However, in recent years, the emergence of deep learning-based algorithms has paved the way for automation in this domain.
View Article and Find Full Text PDFBMC Med Res Methodol
November 2024
Centre for Neuroscience, Surgery and Trauma, Barts and the London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK.
Background: The CapaCiTY programme includes three, multi-centre, randomised controlled trials aiming to develop an evidence based adult chronic constipation treatment pathway. The trials were conducted in the United Kingdom, National Health Service, aiming to recruit 808 participants from 26 March 2015 to 31 January 2019. Sites were selected based on their responses to site feasibility questionnaires (2014-2015), a common tool employed by sponsors to assess a site's recruitment potential and ability to undertake the trial protocol.
View Article and Find Full Text PDFEur Heart J Open
September 2024
Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5841 S. Maryland Ave, Room A621, Chicago, IL 60637, USA.
Front Med (Lausanne)
August 2024
Department of International Bachelor Program in Informatics and Computer Science and Engineering, Yuan Ze University, Taoyuan City, Taiwan.
Introduction: Alzheimer's disease (AD) is a neurodegenerative disorder and the most prevailing cause of dementia. AD critically disturbs the daily routine, which usually needs to be detected at its early stage. Unfortunately, AD detection using magnetic resonance imaging is challenging because of the subtle physiological variations between normal and AD patients visible on magnetic resonance imaging.
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