Linked Life Data

12593120

Source:http://linkedlifedata.com/resource/pubmed/id/12593120

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2003-2-20
pubmed:abstractText
Accurate prediction of fall-prone hospitalized older adults may be integral to reducing falls. The STRATIFY, a simple 5-point falls prediction tool, was prospectively validated on a Geriatric Assessment and Rehabilitation Unit as a one-time initial predictor of patients likely to fall. Sensitivity and specificity were lower than in the original British study. Introducing risk assessments validated elsewhere on a patient care unit or on a hospital-wide scale requires caution.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
N
pubmed:status
MEDLINE
pubmed:issn
1535-2765
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
8-14; quiz 15-6
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:articleTitle
Evaluation of the STRATIFY falls prediction tool on a geriatric unit.
pubmed:affiliation
Hamilton Health Sciences, Chedoke Hospital, P.O. Box 2000, Hamilton, Ontario, Canada L8N 325. coker@hhsc.ca
pubmed:publicationType
Journal Article, Evaluation Studies