L M van der Lubbe, C Gerritsen, M C A Klein, R F Rodgers, K V Hindriks
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引用次数: 1
Abstract
Young adulthood is a period of high risk for the development of mental health concerns. Increasing well-being among young adults is important to prevent mental health concerns and their consequences. Self-compassion has been identified as a modifiable trait with the potential to protect against mental health concerns. An online self-guided mental health training program using gamification was developed and the user experience was evaluated in a 6-week experimental design. During this period, 294 participants were allocated to use the online training program via a website. User experience was assessed via self-report questionnaires, and interaction data for the training program were also collected. Results showed that those who completed the intervention (n= 47) visited the website on average 3.2 days a week, with a mean of 45.8 interactions during the 6 weeks. Participants report positive user experiences of the online training, on average a System Usability Scale Brooke (1) score of 79.1 (out of 100) at the end-point. Participants showed positive engagement with story elements of the training, based on an average score of 4.1 (out of 5) in the evaluation of the story at the end-point. This study found the online self-compassion intervention for youth to be acceptable, although some features seem preferred by users as compared to others. Gamification in the form of a guiding story and a reward structure seemed to be a promising element for successfully motivating participants and serving as a guiding metaphor for self-compassion.
期刊介绍:
Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics. The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications. Topics include but are not limited to: · healthcare software architecture, framework, design, and engineering;· electronic health records· medical data mining· predictive modeling· medical information retrieval· medical natural language processing· healthcare information systems· smart health and connected health· social media analytics· mobile healthcare· medical signal processing· human factors in healthcare· usability studies in healthcare· user-interface design for medical devices and healthcare software· health service delivery· health games· security and privacy in healthcare· medical recommender system· healthcare workflow management· disease profiling and personalized treatment· visualization of medical data· intelligent medical devices and sensors· RFID solutions for healthcare· healthcare decision analytics and support systems· epidemiological surveillance systems and intervention modeling· consumer and clinician health information needs, seeking, sharing, and use· semantic Web, linked data, and ontology· collaboration technologies for healthcare· assistive and adaptive ubiquitous computing technologies· statistics and quality of medical data· healthcare delivery in developing countries· health systems modeling and simulation· computer-aided diagnosis