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Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Abstract

Patients on haemodialysis face complex care pathways, a high treatment burden and lower quality-of-life. Working with multidisciplinary domain experts, we have conducted several iterative development cycles to design, develop and evaluate a portal for patients on haemodialysis that can help them better understand and navigate their care pathways. A key functionality of the portal is to improve data and information sharing with clinicians, including on key aspects of quality-of-life through Patients Reported Outcome Measures. A case study was conducted with multidisciplinary experts and patients in the NHS Greater Glasgow and Clyde health board (Scotland), using interviews combined with the System Usability Scale (n = 26). Patients’ feedback and system use observations were used to further refine the system design requirements and functionalities. Key lessons include: a wide preference for tablet-based input vs paper, identification of case-specific accessibility issues and situational impairment, benefits of self-completed digital data collection in overcoming such issues and promoting patient independence and privacy, with considerations for maintaining perceived value and engagement with such systems and when to offer alternatives.

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Acknowledgements

This work was funded by a Strathclyde Centre for Doctoral Training (SCDT) Research Studentship in Digital Health and Analytics [45] (2018–2022). The authors would like to thank the dialysis nurses and patients for their participation in this work, while in the midst of a global pandemic. We would also like to thank Fabiano Pinatti (Aparecido F. P. de Carvalho) for his comments and improvement suggestions on earlier versions of this paper.

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Correspondence to Ramsay Meiklem .

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Meiklem, R. et al. (2021). Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12933. Springer, Cham. https://doi.org/10.1007/978-3-030-85616-8_12

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  • DOI: https://doi.org/10.1007/978-3-030-85616-8_12

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