Background: Digital health technologies using mobile apps and wearable devices are a promising approach to the investigation of substance use in the real world and for the analysis of predictive factors or harms from substance use. Moreover, consecutive repeated data collection enables the development of predictive algorithms for substance use by machine learning methods.
Objective: We developed a new self-monitoring mobile app to record daily substance use, triggers, and cravings.
Int J Environ Res Public Health
November 2022
Objectives: Measuring implementation outcomes for digital mental health interventions is essential for examining the effective delivery of these interventions. The "Implementation Outcome Scale of Digital Mental Health" (iOSDMH) has been validated and used in several trials. This study aimed to compare the iOSDMH for participants in six randomized controlled trials (RCTs) involving web-based interventions and to discuss the implications of the iOSDMH for improving the interventions.
View Article and Find Full Text PDFObjectives: Gratitude intervention, which requires participants to engage regularly in brief activities designed to cultivate a sense of gratefulness, is known as one of the most effective positive psychological interventions. Although numerous meta-analyses and systematic reviews have been conducted on gratitude intervention, no studies have focused on the working population. This study aimed to systematically summarize the effectiveness of gratitude interventions on workers' mental health and well-being.
View Article and Find Full Text PDFTeam job crafting, which refers to designing the task, relational, and cognitive aspects of a job, is thought to be beneficial for nurses working in the ward. There are no scales to assess team job crafting among nurses. This study aimed to develop and examine the reliability and validity of a scale to measure team job crafting.
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