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AHRQ Research Studies
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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 2 of 2 Research Studies DisplayedHerzig SJ, Rothberg MB, Moss CR
Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patients.
This study investigated the risk of in-hospital falls among patients receiving medications commonly used for insomnia. This retrospective cohort study was conducted at a large academic medical center from January 2007 to July 2013. Adults admitted for a primary psychiatric disorder were excluded. Medications of interest included benzodiazepines, non-benzodiazepine benzodiazepine receptor agonists, trazodone, atypical antipsychotics, and diphenhydramine. Among 225,498 hospitalizations, 37.7% had exposure to at least one of the medication classes of interest with benzodiazepines being the most commonly prescribed. A fall occurred in 1.1% (2,427) of hospitalizations. The rate of falls per 1,000 hospital days was greater among patients with exposure to each of the medications of interest compared to unexposed patients.
AHRQ-funded; HS026215.
Citation: Herzig SJ, Rothberg MB, Moss CR .
Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patients.
Sleep 2021 Sep 13;44(9):zsab064. doi: 10.1093/sleep/zsab064..
Keywords: Falls, Medication, Adverse Events, Risk, Hospitals
Marier 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