Search

BackgroundAlthough procurement of innovation is an established policy tool used to stimulate collaboration between supply- and demand-side entities during the development of new technologies, there is little scientific literature describing the process as applied in health care settings. Furthermore, what literature exists contains inconsistencies of terms, definitions, and/or concepts related to procurement of innovation. This protocol details our process for a systematic scoping review to describe the current scope of literature and to provide terminology clarification.MethodsA search strategy will be used to search PubMed, EMBASE [OVID], CINAHL [EBSCO], PsycINFO [ProQUEST], ABI/INFORM, ISI Web of Knowledge, EBSCO, JSTOR, the Cochrane Database of Systematic Reviews, and Google Scholar; grey literature, non-scientific reports, policy documents and expert recommendations will also be considered as additional sources for texts. Two researchers will screen titles and abstracts for inclusion/exclusion criteria, followed by full texts. We will extract the following data, if applicable: title, authors, date, author affiliations, country, journal/publication characteristics, setting, aims/purpose, methodology, sample characteristics, assessment/evaluation tools, outcome parameters, key findings, relevance, and terminology usage/definitions. Results will be presented narratively and visually.DiscussionThis paper describes the steps of our proposed systematic scoping review to identify and analyse scientific and non-scientific literature related to procurement of innovation and/or innovation of procurement in health care settings, with a particular focus on digital health technologies. Results are intended to demonstrate the current scope of literature, to provide clarity in language and therefore to serve as a first step for further research in this growing field.

Children will only benefit from educational technologies and e-coaches when they understand the long-term consequences and are (intrinsically) motivated to use these support systems. This paper presents an Objective Dashboard that integrates educational achievements, goals and tasks with gamification features (such as challenges, scores and rewards) to advance the interests and engagements of children with type 1 diabetes when using the Personal Assistant for a healthy Lifestyle (PAL) system. By linking in-app activities (e.g., play a quiz or keep a diary) to relevant educational achievements, and to skills and knowledge required in daily life, we aim to increase intrinsic motivation and thereby usage. We designed a dashboard displaying personalised achievements, learning goals and tasks in the domain of diabetes self-management education. We used common user interface design patterns such as layering, colouring, and iconic presentation to organise complex information and reinforce the relations between concepts. Subsequently, we conducted a usability evaluation with twelve children, on the basis of which we refined our design. We found that, colouring and layering were to some extent effective, however, iconic representations were insufficient. Therefore, we recommend to provide short, descriptive labels at any time. © 2019 Association for Computing Machinery.

Social or humanoid robots do hardly show up in "the wild", aiming at pervasive human benefits such as child health. This paper presents the socio-cognitive engineering (SCE) methodology for the required field research \& development of robots, focusing on the incremental development of a social robot and child-robot activities that support the daily diabetes management processes of children, aged between 7 and 14 years (i.e., supporting a healthy lifestyle). The SCE methodology helps to integrate into the human-agent/robot system: (a) theories, models and methods from different scientific disciplines, (b) technologies from different fields, (c) varying diabetes management practices, and (d) last but not least, the diverse individual and context-dependent needs of the patients and caregivers. The resulting system represents a new type of long-term human-robot partnerships with evolving collective intelligence. The current prototype is based on four human-robot partnership functions, a knowledge-base and interaction design for child's prolonged disease self-management. It has been developed and tested in three cycles, and proved to support the children on the three basic needs of the Self-Determination Theory: autonomy, competence and relatedness. To our knowledge, this is the first design \& test of a robot system "in the wild" for prolonged "blended" care of children with a chronic disease, showing positive results in a 3 month evaluation period.