JMIR research protocols
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JMIR research protocols · Jun 2020
Digital Game Interventions for Youth Mental Health Services (Gaming My Way to Recovery): Protocol for a Scoping Review.
Digital or video games are played by millions of adolescents and young adults around the world and are one of the technologies used by youths to access mental health services. Youths with mental health problems strongly endorse the use of technologies, including mobile and online platforms, to receive information, support their treatment journeys (eg, decision-making tools), and facilitate recovery. A growing body of literature explores the advantages of playing digital games for improving attention span and memory, managing emotions, promoting behavior change, and supporting treatment for mental illness (eg, anxiety, depression, or posttraumatic stress disorder). The research field has also focused on the negative impact of video games, describing potential harms related to aggression, addiction, and depression. To promote clarity on this matter, there is a great need for knowledge synthesis offering recommendations on how video games can be safely and effectively adopted and integrated into youth mental health services. ⋯ PRR1-10.2196/13834.
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JMIR research protocols · Jun 2020
Prediction model for timing of death in potential donors after circulatory death (DCD III): study protocol for a multicenter, prospective, observational, cohort study.
Controlled donation after circulatory death (cDCD) is a major source of organs for transplantation. A potential cDCD donor poses considerable challenges in terms of identification of those dying within the predefined time frame of warm ischemia after withdrawal of life-sustaining treatment (WLST) to circulatory arrest. Several attempts have been made to develop models predicting the time between treatment withdrawal and circulatory arrest. This time window determines whether organ donation can occur and influences the quality of the donated organs. However, the selected patients used for these models were not always restricted to potential cDCD donors (eg, patients with cancer or severe infections were also included). This severely limits the generalizability of those data. ⋯ This study will provide a robust multimodal prediction model, based on clinical and physiological parameters, that can predict time to circulatory arrest in cDCD donors. In addition, it will add valuable insight in the process of WLST in cDCD donors and will fill an important knowledge gap in this essential field of health care.