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https://www.selleckchem.com/products/on123300.html ding further predictors such as measures of physical performance in future analyses. The NHFS performed consistently well in predicting functional outcomes, moderately in predicting mortality, but less well in predicting length of stay and complications. There remains room for improvement by adding further predictors such as measures of physical performance in future analyses.Spasticity is a common movement disorder that arises from trauma or disease affecting the central nervous system. Untreated spasticity can result in limitations in completing activities of daily living, painful limb contractures, and other conditions associated with loss of mobility. In the long-term care setting, this treatable condition is prevalent, yet often unrecognized likely because of a lack of spasticity-trained practitioners. A recently published spasticity referral tool holds promise for addressing the underdiagnosis of spasticity in the long-term care population. The Minimum Data Set (MDS) would be an ideal mechanism for increasing the diagnosis and treatment of spasticity because it is a government-directed comprehensive screening tool that informs care plans for all residents residing in federally funded long-term care facilities. The MDS could easily integrate the published referral assessment to record the presence of spastic postures and muscle rigidity. We propose expanding the MDS to include 3 questions related to spasticity to improve the recognition and treatment of this prevalent and treatable condition. Multimorbidity and complex medications increase the risk of medication-related problems, especially in vulnerable home care patients. The objective of this study was to examine whether interprofessional medication assessment has an effect on medication quality among home care patients. The FIMA (Finnish Interprofessional Medication Assessment) study was a randomized, controlled study comparing physician-led interprofession

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