5 research outputs found

    Modeling patient engagement in peer-to-peer healthcare

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    Patients now turn to other patients online for health information and advice in a phenomenon known as peer-to-peer healthcare. This paper describes a model of patients’ peer-to-peer engagement, based upon qualitative studies of three patient or carer groups searching for online information and advice from their health peers. We describe a three-phase process through which patients engage with peer experience (PEx). In phase I (gating) patients determine the suitability and trustworthiness of the material they encounter; in phase II (engagement) they search out information, support and/or advice from others with similar or relevant experience; and in phase III (evaluation) they make judgments about the costs and benefits of engaging with particular websites in the longer term. This model provides a useful framework for understanding web based interactions in different patient groups

    Scoping the Design Space for Data Supported Decision-Making Tools in Respiratory Care:Needs, Barriers and Future Aspirations

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    There is an increasing demand from healthcare providers for timely and accurate information about patients’ conditions, to support appropriate decision making about their needs. Often, healthcare providers have limited data access due to complex issues surrounding sharing agreements and data recording and storage. Designing data-supported decision making (DSDM) tools in this environment is challenging, as they often fail to fully integrate into practice. Existing work focuses on implementing tools such as dashboards and smartphone apps to support decision making practices. However, these tools often operate independently from main systems, and there is limited HCI research on the challenges of designing and integrating such tools into long-term health-care delivery. We describe our participatory design research with clinical and service management staff on a respiratory care ward. We use the process of designing a DSDM dashboard to explore larger challenges behind designing DSDM tools for healthcare providers

    Designing video stories around the lived experience of severe mental illness

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    Caregivers of people experiencing severe mental illness (SMI) report a multitude of psychosocial impacts, including feelings of loneliness and isolation, distress, societal stigma and prejudice around mental health. We describe the design of a series of video stories, performed by actors, which were based on the lived experiences of caregivers and people with SMI. We conducted a series of in-depth qualitative interviews with 11 participants, which formed the basis for the video content. We then worked alongside two caregivers (as advisors), at each stage of the production process, to develop a set of 45 video stories, using personas in our process. Through a discussion of our creative process, we offer a set of considerations for future researchers wishing to develop relatable and empathic digital content for online information provision and support tools. In addition, we offer a set of reflections around the complex ethical challenges underpinning this design space
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