Caring for the Ages
April 28, 2017
Showing 5211 - 5220 of 7406 results
JAMDA
December 8, 2023
Predicting 60-Day Mortality in a Home-Care Service: Development of a New Inter-RAI 49-Frailty Index in Patients with Chronic Disease and without a Cancer Diagnosis
Frailty Index (FI) is used to define the level of frailty in various clinical settings. Fifteen- and 26-item FIs have been demonstrated to predict 1-year mortality and intensity of care in home care (HC) and palliative home care (PHC). The objective of this study was to develop a new FI to predict the 60-d...
JAMDA
October 24, 2015
Predicting Adverse Health Outcomes in Nursing Homes: A 9-Year Longitudinal Study and Development of the FRAIL-Minimum Data Set (MDS) Quick Screening Tool
To examine the predictive validity of a quick frailty screening tool, the FRAIL-NH, for adverse health outcomes in nursing home residents, using variables from the Minimum Data Set (MDS). The screening items were compiled from the MDS for potential direct application in long-term care facilities using this...
JAMDA
March 13, 2014
Predicting All-Cause and Cause-Specific Mortality by Static and Dynamic Measurements of Allostatic Load: A 10-Year Population-Based Cohort Study in Taiwan
To evaluate the role of allostatic load (AL), either static or dynamic measurements, in predicting all-cause and cause-specific mortality of older people in Taiwan.
JAMDA
May 17, 2019
Predicting Cognitive and Functional Trajectories in People With Late-Onset Dementia: 2 Population-Based Studies
Previous studies have shown large heterogeneity in the progression of dementia, both within and between patients. This heterogeneity offers an opportunity to limit the global and individual burden of dementia through the identification of factors associated with slow disease progression in dementia. We exp...
JAMDA
August 27, 2020
Predicting Coronavirus Disease 2019 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach
Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach.
JAMDA
September 3, 2016
Predicting Delirium in Older Patients Hospitalized for Community-Acquired Pneumonia
JAMDA
August 17, 2020
Predicting Falls in Nursing Homes: A Prospective Multicenter Cohort Study Comparing Fall History, Staff Clinical Judgment, the Care Home Falls Screen, and the Fall Risk Classification Algorithm
To evaluate and compare the predictive accuracy of fall history, staff clinical judgment, the Care Home Falls Screen (CaHFRiS), and the Fall Risk Classification Algorithm (FRiCA).
JAMDA
April 4, 2019
Predicting First-Time Injurious Falls in Older Men and Women Living in the Community: Development of the First Injurious Fall Screening Tool
The aim of this study was to create a screening tool to predict first-time injurious falls in community-living older men and women.
JAMDA
December 17, 2018