User involvement in the design of a data-driven self-management decision support tool for stroke survivors

Panagiotis Balatsoukas; Talya Porat; Isabel Karen Sassoon; Kai Essers; Nadin Kokciyan; Martin David Chapman; Archie Drake; Sanjay Modgil; Mark Ashworth; Elizabeth Ida Sklar; Simon Dominic Parsons; Vasa Curcin

doi:10.1109/EUROCON.2019.8861812

User involvement in the design of a data-driven self-management decision support tool for stroke survivors

Panagiotis Balatsoukas, Talya Porat, Isabel Karen Sassoon, Kai Essers, Nadin Kokciyan, Martin David Chapman, Archie Drake, Sanjay Modgil, Mark Ashworth, Elizabeth Ida Sklar, Simon Dominic Parsons, Vasa Curcin

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

9 Citations (Scopus)

Abstract

Many chronic conditions can be better managed by patients themselves with the use of decision support tools. This becomes even more necessary in the case of multimorbidity (i.e. presence of multiple chronic diseases) or in conditions where several underlying risk factors need to be managed and monitored in order to avoid relapse or the reoccurrence of an event, like in the case of stroke. However, despite the fact that these decision support systems are becoming prevalent, little is known about the best practices in designing for end-users - patients and their carers. The aim of the present paper is to report on the process of involving users to inform the design of a novel data-driven self-management mobile decision support tool for stroke survivors, called CONSULT. User involvement was facilitated through the use of a two-phase participatory design approach. During both phases a total of 44 stakeholders participated, including stroke survivors, carers, healthcare professionals and researchers. The paper documents the findings of the participatory design process, in the form of design recommendations, and describes their implications for user interface design.

Original language	English
Title of host publication	18th IEEE International Conference on Smart Technologies
Publisher	IEEE Computer Society Press
DOIs	https://doi.org/10.1109/EUROCON.2019.8861812
Publication status	Published - 11 Oct 2019

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Balatsoukas, P., Porat, T., Sassoon, I. K., Essers, K., Kokciyan, N., Chapman, M. D., Drake, A., Modgil, S., Ashworth, M., Sklar, E. I., Parsons, S. D., & Curcin, V. (2019). User involvement in the design of a data-driven self-management decision support tool for stroke survivors. In 18th IEEE International Conference on Smart Technologies IEEE Computer Society Press. https://doi.org/10.1109/EUROCON.2019.8861812

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title = "User involvement in the design of a data-driven self-management decision support tool for stroke survivors",

abstract = "Many chronic conditions can be better managed by patients themselves with the use of decision support tools. This becomes even more necessary in the case of multimorbidity (i.e. presence of multiple chronic diseases) or in conditions where several underlying risk factors need to be managed and monitored in order to avoid relapse or the reoccurrence of an event, like in the case of stroke. However, despite the fact that these decision support systems are becoming prevalent, little is known about the best practices in designing for end-users - patients and their carers. The aim of the present paper is to report on the process of involving users to inform the design of a novel data-driven self-management mobile decision support tool for stroke survivors, called CONSULT. User involvement was facilitated through the use of a two-phase participatory design approach. During both phases a total of 44 stakeholders participated, including stroke survivors, carers, healthcare professionals and researchers. The paper documents the findings of the participatory design process, in the form of design recommendations, and describes their implications for user interface design.",

author = "Panagiotis Balatsoukas and Talya Porat and Sassoon, {Isabel Karen} and Kai Essers and Nadin Kokciyan and Chapman, {Martin David} and Archie Drake and Sanjay Modgil and Mark Ashworth and Sklar, {Elizabeth Ida} and Parsons, {Simon Dominic} and Vasa Curcin",

year = "2019",

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Balatsoukas, P, Porat, T, Sassoon, IK , Essers, K , Kokciyan, N , Chapman, MD, Drake, A, Modgil, S , Ashworth, M , Sklar, EI , Parsons, SD & Curcin, V 2019, User involvement in the design of a data-driven self-management decision support tool for stroke survivors. in 18th IEEE International Conference on Smart Technologies. IEEE Computer Society Press. https://doi.org/10.1109/EUROCON.2019.8861812

TY - CHAP

T1 - User involvement in the design of a data-driven self-management decision support tool for stroke survivors

AU - Balatsoukas, Panagiotis

AU - Porat, Talya

AU - Sassoon, Isabel Karen

AU - Essers, Kai

AU - Kokciyan, Nadin

AU - Chapman, Martin David

AU - Drake, Archie

AU - Modgil, Sanjay

AU - Ashworth, Mark

AU - Sklar, Elizabeth Ida

AU - Parsons, Simon Dominic

AU - Curcin, Vasa

PY - 2019/10/11

Y1 - 2019/10/11

N2 - Many chronic conditions can be better managed by patients themselves with the use of decision support tools. This becomes even more necessary in the case of multimorbidity (i.e. presence of multiple chronic diseases) or in conditions where several underlying risk factors need to be managed and monitored in order to avoid relapse or the reoccurrence of an event, like in the case of stroke. However, despite the fact that these decision support systems are becoming prevalent, little is known about the best practices in designing for end-users - patients and their carers. The aim of the present paper is to report on the process of involving users to inform the design of a novel data-driven self-management mobile decision support tool for stroke survivors, called CONSULT. User involvement was facilitated through the use of a two-phase participatory design approach. During both phases a total of 44 stakeholders participated, including stroke survivors, carers, healthcare professionals and researchers. The paper documents the findings of the participatory design process, in the form of design recommendations, and describes their implications for user interface design.

AB - Many chronic conditions can be better managed by patients themselves with the use of decision support tools. This becomes even more necessary in the case of multimorbidity (i.e. presence of multiple chronic diseases) or in conditions where several underlying risk factors need to be managed and monitored in order to avoid relapse or the reoccurrence of an event, like in the case of stroke. However, despite the fact that these decision support systems are becoming prevalent, little is known about the best practices in designing for end-users - patients and their carers. The aim of the present paper is to report on the process of involving users to inform the design of a novel data-driven self-management mobile decision support tool for stroke survivors, called CONSULT. User involvement was facilitated through the use of a two-phase participatory design approach. During both phases a total of 44 stakeholders participated, including stroke survivors, carers, healthcare professionals and researchers. The paper documents the findings of the participatory design process, in the form of design recommendations, and describes their implications for user interface design.

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DO - 10.1109/EUROCON.2019.8861812

M3 - Conference paper

BT - 18th IEEE International Conference on Smart Technologies

PB - IEEE Computer Society Press

ER -

User involvement in the design of a data-driven self-management decision support tool for stroke survivors

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