Clinical Research Directory

Integrating Smart Wearable Device Into Digital Insomnia Treatment Application: Exploration of Combining Emotional and Lifestyle Records

Emotions, behavior, and cognition are the main factors contributing to insomnia. Insomnia not only affects sleep quality but also harms health, quality of life, and daytime functioning. Brief Behavioral Treatment for Insomnia (BBTI) is considered a short-term effective treatment for insomnia and has been implemented on online platforms. However, the causes of insomnia are complex, and when designing related digital products, it is essential to consider the psychological and lifestyle states of individuals with insomnia, employing a user-centered approach and interactive design. Previous research has integrated emotion tracking and an abdominal breathing game into the existing BBTI APP. This study will further incorporate the tracking of emotions and lifestyle factors (specifically diet and exercise) into a digital insomnia application, while also connecting with smartwatches and using the Experience Sampling Method (ESM) to collect data. It aims to explore the preferences of individuals with insomnia for digital tracking and examine the impact of their recorded information related to insomnia on their sleep and self-management. The ultimate goal of this study is to enhance the existing insomnia app's features, offering innovative and convenient self-monitoring methods to help therapists better understand the condition of individuals with insomnia, while improving self-awareness and self-management. The anticipated results are expected to provide design recommendations for future digital applications related to insomnia, thereby improving the digital healthcare experience and medical efficacy.

Impact of New-onset Insomnia After Coronary Revascularization for Patients With Acute Myocardial Infarction

The present study aimed to evaluate the impact of acute insomnia on long-term clinical outcomes in patients underwent PCI or CABG for AMI using the Korean National Health Insurance Service (NHIS) database, and to identify the factors through which insomnia contributes to prognostic determination in this patient population.