The relationship of socio-demographic factors and patient attitudes to connected health technologies: a survey of stroke survivors.

Drake, Archie, Sassoon, Isabel, Balatsoukas, Panos , Porat, Talya, Ashworth, Mark, Wright, Ellen, Curcin, Vasa, Chapman, Martin, Kokciyan, Nadin, Sanjay, Modgil, Sklar, Elizabeth and Parsons, Simon (2022) The relationship of socio-demographic factors and patient attitudes to connected health technologies: a survey of stroke survivors. Health Informatics Journal, 28 (2). ISSN 1460-4582

Full content URL: https://doi.org/10.1177%2F14604582221102373

This is the latest version of this item.

Documents
The relationship of socio-demographic factors and patient attitudes to connected health technologies: a survey of stroke survivors
Version of record
[img]
[Download]
[img]
Preview
PDF
14604582221102373.pdf - Whole Document
Available under License Creative Commons Attribution 4.0 International.

993kB
Item Type:Article
Item Status:Live Archive

Abstract

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.

Keywords:Assistive technologies, decision-support systems, electronic health records, information and knowledge management, IT design and development methodologies, machine learning, mobile health
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:49926
Deposited On:07 Jul 2022 10:26

Available Versions of this Item

Repository Staff Only: item control page