Ontology highlight
ABSTRACT: Objective
To determine whether the ability to stratify an individual patient's hazard for falling could facilitate development of focused interventions aimed at reducing these adverse outcomes.Design
Clinical and sociodemographic data from electronic health records were utilized to derive multiple logistic regression models of hospital readmissions for injuries related to falls. Drugs used at admission were summarized based on reported adverse effect frequencies in published drug labeling.Setting
Two large academic medical centers in New England, United States.Participants
The model was developed with 25,924 individuals age ≥ 40 with an initial hospital discharge. The resulting model was then tested in an independent set of 13,032 inpatients drawn from the s
SUBMITTER: Castro VM
PROVIDER: S-EPMC4208628 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature