The Effect of a Hybrid Learning Model on Burden of Care and Functional Mobility in a Patient with Cognitive Impairments and Encephalopathy: A Theory to Practice Case Report
Abstract :
Background: Errorless learning, error learning and hybrid learning are methods applied in rehabilitative services to enhance functional capacity. Each model has specific applications and cognitive impairments are primarily being addressed with the errorless model. However, hybrid learning has been inferred to improve metacognition and carryover of task. Purpose: The purpose of this case study is to analyze the effect of hybrid learning on burden of care and functional mobility tasks in a 77-year-old patient with cognitive impairments and encephalopathy in a skilled nursing facility Patient Description: A 77-year-old Caucasian male presenting to a skilled nursing facility (SNF) following a fall and unknown down time. The patient was diagnosed with acute pulmonary embolism, acute encephalopathy, dehydration, hypernatremia, and non-traumatic rhabdomyolysis. Physical therapy evaluation revealed significant decline in functional mobility with decreased balance and strength as well as impairments to cognitive ability Outcome and Discussion: The patient showed significant improvements from evaluation to discharge in functional mobility and metacognition throughout motor output. It is unclear whether the errorless learning model or hybrid learning made the greatest impact.