Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23951
Title: The relationship of socio-demographic factors and patient attitudes to connected health technologies: a survey of stroke survivors
Authors: Drake, A
Sassoon, I
Balatsoukas, P
Porat, T
Ashworth, M
Wright, E
Curcin, V
Chapman, M
Modgil, S
Sklar, E
Parsons, S
Keywords: assistive technologies;decision-support systems;electronic health records;information and knowledge management;IT design and development methodologies;machine learning;mobile health
Issue Date: 21-Jun-2022
Publisher: SAGE Publications
Citation: Drake, A., Sassoon, I., Balatsoukas, P., Porat, T., Ashworth, M., Wright, E., Curcin, V., Chapman, M., Modgil, S., Sklar, E. and Parsons, S. (2022) ‘The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors’, Health Informatics Journal, 28 (20, pp. 1 - 19. doi: 10.1177/14604582221102373.
Abstract: Copyright © The Author(s) 2022. More evidence is needed on technology implementation for remote monitoring and self-management across the various settings relevant to chronic conditions. This paper describes the findings of a survey designed to explore the relevance of socio-demographic factors to attitudes towards connected health technologies in a community of patients. Stroke survivors living in the UK were invited to answer questions about themselves and about their attitudes to a prototype remote monitoring and self-management app developed around their preferences. Eighty (80) responses were received and analysed, with limitations and results presented in full. Socio-demographic factors were not found to be associated with variations in participants’ willingness to use the system and attitudes to data sharing. Individuals’ levels of interest in relevant technology was suggested as a more important determinant of attitudes. These observations run against the grain of most relevant literature to date, and tend to underline the importance of prioritising patient-centred participatory research in efforts to advance connected health technologies.
URI: https://bura.brunel.ac.uk/handle/2438/23951
DOI: https://doi.org/10.1177/14604582221102373
ISSN: 1460-4582
Other Identifiers: ORCID iDs: Archie Drake https://orcid.org/0000-0001-9940-5785; Isabel Sassoon https://orcid.org/0000-0002-8685-1054; Panos Balatsoukas https://orcid.org/0000-0002-2454-0816; Talya Porat https://orcid.org/0000-0002-6410-2028; Mark Ashworth https://orcid.org/0000-0001-6514-9904; Vasa Curcin https://orcid.org/0000-0002-8308-2886; Martin Chapman https://orcid.org/0000-0002-5242-9701; Nadin Kokciyan https://orcid.org/0000-0002-2653-6669; Sanjay Modgil https://orcid.org/0000-0002-7873-8086; Elizabeth Sklar https://orcid.org/0000-0002-6383-9407; Simon Parsons https://orcid.org/0000-0002-8425-9065.
Appears in Collections:Dept of Computer Science Research Papers

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