Improving prediction of fall risk among nursing home residents using electronic medical records.

ABSTRACT:

Objective

Falls are physically and financially costly, but may be preventable with targeted intervention. The Minimum Data Set (MDS) is one potential source of information on fall risk factors among nursing home residents, but its limited breadth and relatively infrequent updates may limit its practical utility. Richer, more frequently updated data from electronic medical records (EMRs) may improve ability to identify individuals at highest risk for falls.

Methods

The authors applied a repeated events survival model to analyze MDS 3.0 and EMR data for 5129 residents in 13 nursing homes within a single large California chain that uses a centralized EMR system from a leading vendor. Estimated regression parameters were used to project resident fall probability. The authors exa

SUBMITTER: Marier A 

PROVIDER: S-EPMC7784312 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature