Abstract
<jats:sec><jats:title>Objective</jats:title><jats:p> The aim of this study was to explore the feasibility and acceptability of digital technology for improving health and wellbeing in social housing residents living in a deprived area in Cornwall, England. </jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p> Qualitative scoping study with focus groups and telephone interviews (23 participants in total). Focus groups and interviews were audio-recorded, transcribed verbatim and analysed thematically. </jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p> Levels of use and experience with digital technology were diverse in this group, ranging from ‘willing and unable’ to ‘expert’ on a self-perceived scale. Overall, participants had positive perceptions of technology and were keen to try new technologies. Five categories of factors influencing technology use were identified: functional, physical / health, psychological and attitudinal, technology-associated barriers, and privacy, safety and security. Preferred types of digital technology were wearable activity monitors (e.g. Fitbit®), virtual assistants (e.g. Amazon Alexa) and social messaging (e.g. WhatsApp). There was a strong consensus that technology should be easy to use and should have a clear purpose. There was a need to improve awareness, knowledge and confidence in technology use and participants desired further training and support. </jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p> There is a need and desire to use digital technology to improve health, wellbeing and social connectedness in social housing residents in Cornwall. The findings will be used to inform a digital training and support programme for the participants of the Smartline project. This study also serves as a template for future research that seeks to scope the feasibility and acceptability of different digital interventions in similar populations. </jats:p></jats:sec>
Original language | English |
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Number of pages | 0 |
Journal | Digital Health |
Volume | 8 |
Issue number | 0 |
DOIs | |
Publication status | Published - 1 Jan 2022 |