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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedMarier A, Olsho LE, Rhodes W
AHRQ Author: Spector WD
Improving prediction of fall risk among nursing home residents using electronic medical records.
To identify individuals at highest risk for falls, the authors applied a repeated events survival model to analyze The Minimum Data Set ( MDS 3.0 and EMR data for 5129 residents in 13 nursing homes within a single large California chain. They found that incorporating EMR data improves ability to identify those at highest risk for falls relative to prediction using MDS data alone.
AHRQ-funded; AHRQ-authored; 290201000031I.
Citation: Marier A, Olsho LE, Rhodes W .
Improving prediction of fall risk among nursing home residents using electronic medical records.
J Am Med Inform Assoc 2016 Mar;23(2):276-82. doi: 10.1093/jamia/ocv061..
Keywords: Falls, Electronic Health Records (EHRs), Risk, Nursing Homes, Prevention