Abstract:
Injurious falls are common, morbid, and costly for nursing home (NH) residents, particularly those with
Alzheimer’s Disease and Related Disorders (ADRD). Medications may be the most common, modifiable risk
factor for injury, yet no studies have comprehensively compared the risks and benefits of drugs used to
manage cardiovascular disease in the NH. Our long-term goal is to prevent injurious falls in NH residents. This
proposal will identify cardiometabolic drugs with a poor net clinical benefit in ADRD and other NH residents.
Further, we will identify subsets of NH residents who are at greatest risk for injurious falls while taking these
drugs in an effort to target deprescribing. The following specific aims are proposed: 1) determine which
cardiometabolic drugs are associated with an increased risk of injurious falls in NH residents; 2) determine
which cardiometabolic drugs have poor net clinical benefit, defined as a decrease in “home time”; and 3)
develop and validate a model to predict the imminent and long-term absolute risk of injurious falls in NH
residents. We will then determine whether the effects of cardiometabolic drugs on injurious fall risk differs in
resident subgroups including residents with a high predicted risk of injury and ADRD residents. The central
hypothesis is that it is possible to identify risky patterns of cardiometabolic drug use in ADRD and other NH
residents. We will leverage an existing database that has linked claims data from Medicare Parts A and B with
pharmacy data (Medicare Part D), clinical characteristics (Minimum Data Set), and facility level characteristics
(OSCAR). Using this database we will conduct a retrospective analysis on all long-stay U.S. NH residents
enrolled in a Medicare fee-for-service plan between the years 2013-2018 (~850,000 residents and >80,000
injurious falls). This research is innovative because few studies have evaluated the safety and efficacy of
cardiometabolic drugs in NH residents. In Aim 1, we will compare injurious fall rates in new users of
antihypertensive, antihyperglycemic, and anticoagulant drugs, with new users of a comparator drug within the
same class. Propensity scores and a number of advanced causal inference techniques will be used to address
polytherapy and potential bias. A similar approach will be used in Aim 2. Results from Aims 1 & 2 will allow for
a clinically meaningful discussion of risks and benefits when deprescribing medications in NH residents.
Specific Aim 3 will validate a model to identify NH residents at greatest risk for injury, and identify subgroups
who are the most vulnerable to injurious falls when using cardiometabolic drugs, including ADRD residents.
The research team has experience with predicting falls and fractures and knowledge of geriatrics,
pharmacoepidemiology, and Medicare data necessary to complete this project. Our findings will inform a
standardized approach to reduce imminent and long-term injurious falls risk in the NH through screening and
deprescribing efforts. Knowledge gained from this proposal could ultimately result in a decrease in injurious
falls in NH residents, with a subsequent reduction in morbidity and healthcare costs.