ObjectiveHospital-to-home (H2H) transitions challenge families of children with medical complexity (CMC) and healthcare professionals (HCP). This study aimed to gain deeper insights into the H2H transition process and to work towards eHealth interventions for its improvement, by applying an iterative methodology involving both CMC families and HCP as end-users.MethodsFor 20-weeks, the Dutch Transitional Care Unit consortium collaborated with the Amsterdam University of Applied Sciences, HCP, and CMC families. The agile SCREAM approach was used, merging Design Thinking methods into five iterative sprints to stimulate creativity, ideation, and design. Continuous communication allowed rapid adaptation to new information and the refinement of solutions for subsequent sprints.ResultsThis iterative process revealed three domains of care – care coordination, social wellbeing, and emotional support – that were important to all stakeholders. These domains informed the development of our final prototype, ‘Our Care Team’, an application tailored to meet the H2H transition needs for CMC families and HCP.ConclusionComplex processes like the H2H transition for CMC families require adaptive interventions that empower all stakeholders in their respective roles, to promote transitional care that is anticipatory, rather than reactive.InnovationA collaborative methodology is needed, that optimizes existing resources and knowledge, fosters innovation through collaboration while using creative digital design principles. This way, we might be able to design eHealth solutions with end-users, not just for them.
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To examine the needs, perceptions and influencing factors according to former adult intensive care unit patients and relatives with regard to family participation in essential care in the unit. A qualitative interpretive descriptive study using inductive thematic analysis.
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Background: This study investigates patients’ use of eHealth services, their awareness of the availability of these services, and their intention to use them in primary care. It also examines patient characteristics and factors that influence the use of these services. Methods: A cross-sectional design using questionnaires was conducted. Based on the unified theory of acceptance and use of technology (UTAUT), the participants rated the two most common services. Descriptive analyses and linear correlation analyses were performed. A simple linear regression was conducted to identify factors influencing the participants’ intention to use eHealth services. Results: In total, 1203 participants with an average age of 43.7 years were surveyed. The participants’ usage rates varied, with the lowest at 2.4%, for measuring vital signs, and the highest at 47.4%, for booking appointments. The intentions to use the services ranged from 22.5%, for video consultations, to 46.6%, for prescription refill requests. Approximately 20% of the respondents were unaware of each service’s availability. Positive associations were found between all the constructs and the intention to use online services, with a younger age being the most significant factor. Conclusions: The use of and intention to use eHealth services varied greatly. The participants were often unaware of the availability of these services. Promoting the availability and benefits of eHealth services could enhance patient engagement in primary care settings.
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