Evaluation of the Naturalistic User Experience of the Website "ich Bin Alles @Schule" (i Am Everything @school) - an Information Platform for Educational Professionals on Depression and Mental Health in Childhood and Adolescence
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- The characteristics of the people who are interested in "ich bin alles @Schule" (i.e. the users)
研究概览
简要总结
The aim of this study is to investigate the naturalistic user experience and acceptance of the German website "ich bin alles @Schule". This website for educational professionals offers information on depression and mental health of pupils. Another aim of this study is to determine whether the desired target groups of the website can be reached.
详细描述
Depressive disorders are among the most common psychiatric disorders in childhood and adolescence and yet often are unnoticed and not treated for a long time. Depressive disorders often begin in adolescence and young adulthood. School stress, caused by bullying experiences at school or high performance expectations from parents and teachers, has been identified as an important factor in the development of depressive disorders in students. School, as a central area of life for children and young people, is an important place for promoting pupils' mental health. The rising prevalence of depressive disorders among adolescence in recent years and the delayed start of interventions show a clear need for action in the everyday lives of adolescents. The Department of Child and Adolescent Psychiatry of the Hospital of the LMU Munich and the Beisheim Foundation launched the innovative digital information portal "Ich bin alles @Schule" (i am everything @school; www.schule.ich-bin-alles.de) in November 2023. "ich bin alles @Schule" is a German information platform that was developed for educational professionals and aims to provide low-threshold information about depression and mental health in the school context.
Due to the high relevance of comprehensively evaluating web-based information services on mental health and mental illness, the aim of this study is to use established methods to learn more about the visitors of "ich bin alles @Schule" and their user experience.
The aim of the study is a scientific evaluation of the naturalistic user experience of "Ich bin alles @Schule" users. For this purpose, an online questionnaire and the website analysis tool "Matomo" is applied. The study is intended to provide clues as to whether the "ich bin alles @Schule" information platform is a useful and trustworthy source of information for the target group. The information obtained is of central importance for potential adaptations and optimizations of the website. Another aim of this study is to determine whether we can actually reach the desired target group with our website. The results of the data collection also provide an important basis for future approaches aimed at school professionals about mental health issues and mental illness in a way that is appropriate for the target group.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •40 seconds Website-use
排除标准
- 未提供
结局指标
主要结局
The characteristics of the people who are interested in "ich bin alles @Schule" (i.e. the users)
时间窗: 40 seconds after Website-use
Assessed via self-designed questionnaire
Perception of the users of website content
时间窗: 40 seconds after Website-use
Assessed via WEB-CLIC-S (Thielsch \& Hirschfeld, 2021)
Perceived Website Usability
时间窗: 40 seconds after Website-use
Assessed via Perceived Website Usability - German (PWU-G; Flavián et al., 2006; Thielsch, 2008)
Visual Aesthetics of Website
时间窗: 40 seconds after Website-use
Assessed via Visual Aesthetics of Website Inventory - Short (VisAWI-S; Moshagen \& Thielsch, 2013)
Intention to revisit the website
时间窗: 40 seconds after Website-use
Assessed via Scale assessing the intention to revisit the website (Moshagen \& Thielsch, 2010)
Overall impression
时间窗: 40 seconds after Website-use
Assessed via a single item by Thielsch (2008)
次要结局
- Specific data collected for "ich bin alles @Schule" with Matomo(two years (from website launch until anticipated stuy completion))
研究者
Lisa Feldmann
Postdoctoral Researcher
LMU Klinikum
