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Objectives: the main objective was to evaluate if the admission functional independence measure (FIM) score could be used to predict the risk of falls in geriatric inpatients.
Design: a 10-year retrospective study was performed.
Setting: the study was conducted in a 298-bed geriatric teaching hospital in Geneva, Switzerland.
Subjects: all patients discharged from the hospital from 1 January 1997 to 31 December 2006 were selected.
Main Outcome Measures: measures used were FIM scores at admission using the FIM instrument and number of falls extracted from the institution's fall report forms.
Results: during the study period, there were 23,966 hospital stays. A total of 8,254 falls occurred. Of these, 7,995 falls were linked to 4,651 stays. Falls were recorded in 19.4% of hospital stays, with a mean incidence of 7.84 falls per 1,000 patients-days. Although there was a statistically significant relationship between total FIM score, its subscales, and the risk of falling, the sensitivity, specificity, positive predictive value and negative predictive value obtained with receiver operating characteristic curves were insufficient to permit fall prediction. This might be due in part to a non-linear relationship between FIM score and fall risk.
Conclusion: in this study, the FIM instrument was found to be unable to predict risk of falls in general geriatric wards.
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http://dx.doi.org/10.1093/ageing/afq010 | DOI Listing |
Sensors (Basel)
August 2025
Department of Neurological Rehabilitation, Medical University of Lodz, Milionowa 14, 93-113 Lodz, Poland.
The effectiveness of upper extremity rehabilitation in post-stroke patients significantly depends on patient motivation and adherence to therapeutic regimens. Rehabilitation-assistive technologies, including wearable sensors, have been adopted to facilitate intensive and repetitive exercises aimed at reducing hand dysfunction and enhancing quality of life. Building upon the previously introduced Przypominajka (reminder) system reported in this journal-a wearable sensory glove coupled with a mobile application providing exercise guidance and monitoring-we conducted a feasibility study to evaluate its effectiveness in supporting upper limb rehabilitation.
View Article and Find Full Text PDFJ Clin Med
July 2025
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15224, USA.
Hypotension following epidural labor analgesia (ELA) is its most common complication, affecting approximately 20% of patients and posing risks to both maternal and fetal health. As digital tools and predictive analytics increasingly shape perioperative and obstetric anesthesia practices, real-world implementation data are needed to guide their integration into clinical care. Current monitoring practices rely on intermittent non-invasive blood pressure (NIBP) measurements, which may delay recognition and treatment of hypotension.
View Article and Find Full Text PDFBMJ Case Rep
July 2025
Paediatric and Neonatal Physiotherapy, Datta Meghe Institute of Higher Education and Research Deemed to be University, Ravi Nair Physiotherapy College, Wardha, Maharashtra, India.
The most prevalent paediatric malignancy, acute lymphoblastic leukaemia (ALL), mostly affects children between the ages of 2 and 5 years. Its incidence is 101.4 per million.
View Article and Find Full Text PDFJ Vis Exp
May 2025
Department of Rehabilitation Medicine, Peking Union Medical College Hospital;
Stroke is a cerebrovascular event that significantly affects patients' mobility and independence. Restoring gait patterns is a critical goal of stroke rehabilitation, and technology-based therapies have shown promising results. Lower limb exoskeleton therapy, body weight-supported treadmill training (BWSTT), and game-based virtual reality (VR) training are innovative approaches that have improved muscle strength, balance, and walking capability in stroke patients.
View Article and Find Full Text PDFJMIR Form Res
April 2025
Department of Rehabilitation Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Background: Step count is used to quantify activity in individuals using accelerometers. However, challenges such as difficulty in detecting steps during slow or irregular gait patterns and the inability to apply this method to wheelchair (WC) users limit the broader utility of accelerometers. Alternative device-specific measures of physical activity exist, but their specificity limits cross-applicability between different device sensors.
View Article and Find Full Text PDF