Should we think more carefully when designing a study using experience sampling method?

Momentary assessment techniques, such as the Experience Sampling Method (ESM), are structured diary techniques to frequently assess momentary experiences in the context of daily life. Momentary assessment techniques have several advantages over traditional retrospective assessments, such as minimized recall bias. However, ESM might be a demanding assessment tool as subjects are asked to provide self-assessments several times a day. Additionally, the method may impact on the natural environment and induce reactivity to the method. The purpose of this PhD project is to investigate the data quality in ESM research in individuals with mental health and central nervous system disorders. We will investigate compliance and data quality in ESM and develop methodological guidelines and analysis schemes when using ESM as a remote assessment tool. The PhD project is a part of an international project called “Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADAR-CNS)” that explores the potential of using wearable devices and smartphone technology to monitor and help prevent and treat various central nervous system disorders. ESM will be initiated in the project as a remote assessment tool to investigate self-reported mood, physical activity, stress, and social interactions in individuals with multiple sclerosis, epilepsy, and major depressive disorder.