Background Generative participatory design (PD) may help in developing electronic health (eHealth) interventions. PD is characterized by the involvement of all stakeholders in creative activities. This is different from the traditional user-centered design, where users are less involved. When looking at PD from a research through design perspective, it is important to summarize the reasons for choosing a certain form of generative PD to further develop its methodology. However, the scientific literature is currently unclear about which forms of PD are used to develop eHealth and which arguments are used to substantiate the decision to use a certain form of generative PD. Objective This study aimed to explore the reporting and substantiation of generative PD methodologies in empirical eHealth studies published in scientific journals to further develop PD methodology in the field of eHealth. Methods A systematic literature review following the Cochrane guidelines was conducted in several databases (EMBASE, MEDLINE Ovid, Web of Science, and CINAHL EBSCOhost). Data were extracted on the recruitment and management of stakeholders, the use of tools, and the use of outcome measures. Results Of the 3131 studies initially identified, 69 were selected for qualitative synthesis. The reporting was very variable, depending to a large extent on whether the study stated that reporting on the PD process was a major aim. The different levels of reporting and substantiation of the choices of a recruitment strategy, stakeholder management, and tools and outcome measures are presented. Only a few authors explicitly used arguments directly related to PD guiding principles such as democratic, mutual learning, tacit and latent knowledge, and collective creativity. Even though PD principles were not always explicitly discussed in the method descriptions of the studies, they were implicitly present, mostly in the descriptions of the use of PD tools. The arguments used to substantiate the choices made in stakeholder management, PD tools, and the type of outcome measures adopted point to the involvement of PD principles. Conclusions Studies that have used a PD research methodology to develop eHealth primarily substantiate the choice of tools made and much less the use of stakeholders and outcome measures.

Since the 1980s, regulated markets and New Public Management have been introduced in the public sector across the world. How they have affected existing governance mechanisms such as selfregulation and state regulation has remained largely unexplored, however. This article examines the origins and consequences of institutional layering in governing healthcare quality. Dutch health care, where a market-based system has been introduced, is used as a case study. The results show that this market-based system did not replace but modified existing institutional arrangements. As a result, hospitals have to deal with the fragmentation of quality demands. Using the concept of institutional layering, this study shows how different arrangements interact. As a consequence, the introduction of a certain policy reform will work out differently in different countries and policy sectors. Our 'archaeological' study in this layering can be seen as an example of how such incremental change can be studied in detail.

We evaluated a shared-care tele-ophthalmology service initiated by the Rotterdam Eye Hospital and 10 optometrists working in retail optician stores. The optometrists screened their clients with a nerve fibre analyser and the resulting images were then further assessed by trained technicians at the hospital. We analysed data from 1729 patients and measured several indicators of the quality of the work as well as its efficiency and effectiveness. The quality of the images was at least satisfactory in most cases (89%), and the agreement between the optometrists and the hospital about normal or suspect test results was high (81%). Only 27% of the patients were called for additional testing at the hospital department and 11% consulted an ophthalmologist. Eighty new cases of glaucoma were detected. The combination of task redesign and telemedicine accounted for the success of the screening service. Task redesign was needed to transfer screening from the hospital to primary care in a safe and responsible way. Telemedicine was crucial for assuring quality, facilitating information exchange and for coordination.

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Background: More than 70% of elderly people age 80 and older are experiencing problems in personal mobility. Assistive robotics can represent a concrete support providing also a support for caregivers, clinicians and nurses by reducing their burden. Methods: A total of 20 older people and 34 caregivers (formal and informal) were interviewed in Italy and the Netherlands to investigate and prioritize their needs concerning the personal mobility domains and their attitudes towards assistive robots. The data were analysed from a user point of view by means of thematic content analysis by underlying recurrent topics. Results: The results revealed four categories of needs from the perspective of the older individuals: instrumental needs, rehabilitation needs, personal safety and indoor activities of daily life. Additionally, the results underline how personal mobility issues influence different aspects of daily life. Complementarily, three categories of caregiver needs were also distinguished: instrumental needs, rehabilitation monitoring needs and checkup needs. The highest percentage of participants showed a positive expectation towards assistive robotics. Conclusions: The results were clustered according to the robot abilities (i.e., motion, interaction, manipulation, decision support and perception abilities) as a list of functional and technical requirements that should be developed to address all the needs related to the personal mobility. Robotic developer teams that work in this context could take advantage of this research. Additionally, this work can be used as a basis for clinicians and nurses working in geriatric units to understand how the robots can support and enhance their work.The incidence of personal mobility limitations affects 35% of adults age 70 and older and 72% of people over 80 years of age. Assistive robots can support elderly people during daily tasks: they could promote their personal mobility acting as a supporting tool. The results of the needs analysis revealed four categories of needs from the perspective of the older individuals: instrumental needs, rehabilitation needs, personal safety, and indoor activities of daily life. Three categories of caregiver needs were also distinguished: instrumental needs, rehabilitation monitoring needs, and check-up needs.