Background: Loss of arm-hand performance due to a hemiparesis as a result of stroke or cerebral palsy (CP), leads to large problems in daily life of these patients. Assessment of arm-hand performance is important in both clinical practice and research. To gain more insight in e.g. effectiveness of common therapies for different patient populations with similar clinical characteristics, consensus regarding the choice and use of outcome measures is paramount. To guide this choice, an overview of available instruments is necessary. The aim of this systematic review is to identify, evaluate and categorize instruments, reported to be valid and reliable, assessing arm-hand performance at the ICF activity level in patients with stroke or cerebral palsy.
Methods: A systematic literature search was performed to identify articles containing instruments assessing arm-hand skilled performance in patients with stroke or cerebral palsy. Instruments were identified and divided into the categories capacity, perceived performance and actual performance. A second search was performed to obtain information on their content and psychometrics.
Results: Regarding capacity, perceived performance and actual performance, 18, 9 and 3 instruments were included respectively. Only 3 of all included instruments were used and tested in both patient populations. The content of the instruments differed widely regarding the ICF levels measured, assessment of the amount of use versus the quality of use, the inclusion of unimanual and/or bimanual tasks and the inclusion of basic and/or extended tasks.
Conclusions: Although many instruments assess capacity and perceived performance, a dearth exists of instruments assessing actual performance. In addition, instruments appropriate for more than one patient population are sparse. For actual performance, new instruments have to be developed, with specific focus on the usability in different patient populations and the assessment of quality of use as well as amount of use. Also, consensus about the choice and use of instruments within and across populations is needed.
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http://dx.doi.org/10.1186/1471-2377-12-21 | DOI Listing |
J Med Ultrason (2001)
December 2024
Department of Internal Medicine, Kuma Hospital, Kobe, Hyogo, 650-0011, Japan.
Purpose: Parathyroid lipoadenomas are difficult to recognize preoperatively; hence, they may remain undetected. Difficulty in recognition is thought to be due to the adipocytes present in the tumor. This study aimed to clarify the impact of adipocytes as a component of parathyroid adenomas on ultrasound evaluation.
View Article and Find Full Text PDFChilds Nerv Syst
December 2024
Department of Children's and Adolescence Health, Division of Neuropediatrics, University Hospital Leipzig, Leipzig, Germany.
Introduction: Endoscopic Third Ventriculostomy (ETV) is a well-established treatment for pediatric hydrocephalus, particularly in cases of aqueductal stenosis. The ETV Success Score (ETVSS) is a predictive tool widely used to estimate the likelihood of ETV success based on factors like age. Its accuracy, especially in infants under 3 months, is still debated.
View Article and Find Full Text PDFJ Rural Health
January 2025
Department of Health Policy and Management, UNC Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, North Carolina, USA.
Purpose: This study compares 2018-2023 Medicare Advantage (MA) days as a percentage of total Medicare days in rural and urban hospitals, describes 2022-2023 operating profitability of rural and urban hospitals by quartiles of MA days as a percentage of total Medicare days, and explores hospital characteristics that may be important for understanding the relationship between MA and profitability of rural hospitals.
Methods: Financial and hospital data were obtained from the Centers for Medicare & Medicaid Services (CMS) Healthcare Cost Report Information System (HCRIS) for the years 2018 to 2023. Hospitals were assigned to quartiles based on MA days as a percentage of total Medicare days.
Jpn J Radiol
December 2024
Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Objectives: This study evaluates the effectiveness of machine learning (ML) models that incorporate clinical and 2-deoxy-2-[F]fluoro-D-glucose ([F]-FDG)-positron emission tomography (PET)-radiomic features for predicting outcomes in gallbladder cancer patients.
Materials And Methods: The study analyzed 52 gallbladder cancer patients who underwent pre-treatment [F]-FDG-PET/CT scans between January 2011 and December 2021. Twenty-seven patients were assigned to the training cohort between January 2011 and January 2018, and the data randomly split into training (70%) and validation (30%) sets.
Sci Rep
December 2024
Department of Emergency Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China.
To develop and validate a nomogram model for discriminating simple intestinal obstruction and strangulated intestinal obstruction, thus providing objective evidence for clinical decision-making. Following pre-established inclusion and exclusion criteria, a retrospective analysis was conducted on the clinical data of 560 patients diagnosed with intestinal obstruction who were admitted to the Emergency Surgery Department of the First Affiliated Hospital of Anhui Medical University between January 1, 2020, and December 31, 2022. The data was subsequently split into a training cohort (n = 393) and a validation cohort (n = 167) using a 7:3 ratio.
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