Data-driven Intervention to Reduce Pre-discharge Fall Risk After Stroke

Falls are one of the most significant problems for stroke survivors, often resulting in injury, fracture, rehospitalization, recurrent falls, fear of falling, avoidance of physical activity, and subsequent restricted social participation. The rate of falls among stroke survivors is exceptionally high, especially in the first 1-3 months after discharge home from the hospital. The high rate of early post-stroke falls occurs despite intensive inpatient rehabilitation and ongoing rehabilitation after hospital discharge. The central hypothesis to be tested in this study is that a personalized fall prevention intervention provided during inpatient rehabilitation will reduce fall risk before discharge compared to the control intervention (usual care plus dose-matched placebo activity) and reduce the 30-day and 90-day post-discharge fall rates. The study will examine whether a targeted fall prevention intervention delivered during inpatient rehabilitation, in addition to usual care, can reduce fall risk classified by the clinical standard, Berg Balance Scale, at the time of discharge, more than usual care with dose-matched placebo activity (Aim 1). Upon admission to inpatient rehabilitation for stroke, patients without a prior history of falls who test positive for high fall risk using a validated, concise, bedside fall-risk assessment will be randomized 1:1 to experimental and control groups. The investigators will compare differences between groups in the proportion that test positive for fall risk at discharge and the proportion who are discharged to a skilled nursing facility instead of home. Following hospital discharge, falls will be tracked via a daily text message survey for 90 days. The investigators will compare the 30-day and 90-day fall rates between the experimental and control groups (Aim 2). There is a critical need to improve rehabilitation practices for fall prevention early after stroke within current length-of-stay constraints. This study will determine whether an intensive, data-driven fall prevention intervention during inpatient rehabilitation can improve early post-stroke mobility and fall-related outcomes.