Galvin, Miriam

Background: Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative, fatal and currently incurable disease. People with ALS need support from informal caregivers due to the motor and cognitive decline caused by the disease. Objectives: This study aims to identify caregivers whose quality of life (QoL) may be impacted as a result of caring for a person with ALS.

Background: Amyotrophic lateral sclerosis (ALS)/motor neuron disease (MND) is a systemic and fatal neurodegenerative condition for which there is currently no cure. Informal caregivers play a vital role in supporting the person with ALS, and it is essential to support their wellbeing. This multi-centre, mixed methods descriptive exploratory study describes the complexity of burden and self-defined difficulties as described by the caregivers themselves.

Objectives Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease that is characterised by the rapid degeneration of upper and lower motor neurons and has a fatal trajectory 3-4 years from symptom onset. Due to the nature of the condition patients with ALS require the assistance of informal caregivers whose task is demanding and can lead to high feelings of burden. This study aims to predict caregiver burden and identify related features using machine learning techniques.