Inform Health Soc Care
January 2019
With the expansion of e-health systems to more diverse and heterogeneous contexts and user groups, it is increasingly important to include users in design. Designers recognize the benefits of user participation, but including users with lowered cognitive and social abilities can be difficult. This paper intends to answer how these users can participate in the design of e-health systems.
View Article and Find Full Text PDFBackground: Peer support services have the potential to support children who survive cancer by handling the physical, mental, and social challenges associated with survival and return to everyday life. Involving the children themselves in the design process allows for adapting services to authentic user behaviors and goals. As there are several challenges that put critical requirements on a user-centered design process, we developed a design method based on personas adapted to the particular needs of children that promotes health and handles a sensitive design context.
View Article and Find Full Text PDFBackground: Participatory research approaches have been introduced to meet end-users' needs in the development of health promotion interventions among children. However, whereas children are increasingly involved as passive informants in particular parts of research, they are rarely involved as partners, equal to adult researchers, throughout the research process. This is especially prominent in the context of child health where the child is commonly considered to be vulnerable or when the research concerns sensitive situations.
View Article and Find Full Text PDFHere we show that an affinity proteomics strategy using affinity-purified antibodies raised against recombinant human protein fragments can be used for chromosome-wide protein profiling. The approach is based on affinity reagents raised toward bioinformatics-designed protein epitope signature tags corresponding to unique regions of individual gene loci. The genes of human chromosome 21 identified by the genome efforts were investigated, and the success rates for de novo cloning, protein production, and antibody generation were 85, 76, and 56%, respectively.
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