Data-driven Intervention to Reduce Pre-discharge Fall Risk After Stroke
After stroke, falling is a common problem. Falls can lead to injury, as well as fear of future falls. It is important to try to prevent falls from happening after stroke. To goal of this study is to test a new treatment to try to prevent falls after stroke. The people in the study will be patients who are in the hospital receiving care after a stroke. While they are in the hospital, the investigators will provide extra treatment that focuses on helping them not to fall. The investigators will also teach the patients to understand risks for falls and how to avoid them. When they leave the hospital, participants will be sent a text message every day to ask if they have had any falls. The goal is to see if patients who received the extra therapy have fewer falls than patients who did not receive the therapy and education to help avoid falls. If the extra treatment in the hospital can help stop people from falling after they leave the hospital, this will have a positive impact on their lives. By not falling, they will avoid the risk of injury and having to go back to the hospital. This project will help the investigators know how to help people with stroke live longer, healthier lives.
• Inpatient rehabilitation admission for diagnosis of stroke
• Test positive for fall risk at admission (step-test and obstacle-test, STOB, \>/= 3 out of 8 and/or Berg Balance Scale \</=43)
• No pre-stroke history of falls
• Community dwelling and independent in basic and instrumental activities of daily living prior to stroke
• Able to follow 1-step verbal command and demonstrate comprehension and decision-making capacity to consent to study participation
• Able to stand upright for 10 seconds with assistance of no more than one person