Show simple item record

dc.contributor.authorWilliams, AJ
dc.contributor.authorMenneer, T
dc.contributor.authorSidana, M
dc.contributor.authorWalker, T
dc.contributor.authorMaguire, K
dc.contributor.authorMueller, M
dc.contributor.authorPaterson, C
dc.contributor.authorLeyshon, M
dc.contributor.authorLeyshon, C
dc.contributor.authorSeymour, E
dc.contributor.authorHoward, Z
dc.contributor.authorBland, E
dc.contributor.authorMorrissey, K
dc.contributor.authorTaylor, TJ
dc.date.accessioned2021-02-18T13:38:22Z
dc.date.issued2021-02-16
dc.description.abstractBackground: Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale. Objective: This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community. Methods: The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes. Results: The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact. Conclusions: Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.en_GB
dc.description.sponsorshipEuropean Regional Development Fund (ERDF)en_GB
dc.description.sponsorshipSouth West Academic Health Science Networken_GB
dc.identifier.citationVol. 7 (2), article e25037en_GB
dc.identifier.doi10.2196/25037
dc.identifier.urihttp://hdl.handle.net/10871/124801
dc.language.isoenen_GB
dc.publisherJMIR Publicationsen_GB
dc.rights©Andrew James Williams, Tamaryn Menneer, Mansi Sidana, Tim Walker, Kath Maguire, Markus Mueller, Cheryl Paterson, Michael Leyshon, Catherine Leyshon, Emma Seymour, Zoë Howard, Emma Bland, Karyn Morrissey, Timothy J Taylor. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 16.02.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be includeden_GB
dc.subjectuser-centered designen_GB
dc.subjectcommunityen_GB
dc.subjectsocial network analysisen_GB
dc.subjectUnited Kingdomen_GB
dc.subjectUKen_GB
dc.subjectmobile phoneen_GB
dc.titleFostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohorten_GB
dc.typeArticleen_GB
dc.date.available2021-02-18T13:38:22Z
dc.descriptionThis is the final version. Available on open access from JMIR Publications via the DOI in this recorden_GB
dc.identifier.eissn2369-2960
dc.identifier.journalJMIR Public Health and Surveillanceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-12-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-02-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-02-18T13:34:44Z
refterms.versionFCDVoR
refterms.dateFOA2021-02-18T13:38:33Z
refterms.panelBen_GB


Files in this item

This item appears in the following Collection(s)

Show simple item record

©Andrew James Williams, Tamaryn Menneer, Mansi Sidana, Tim Walker, Kath Maguire, Markus Mueller, Cheryl Paterson,
Michael Leyshon, Catherine Leyshon, Emma Seymour, Zoë Howard, Emma Bland, Karyn Morrissey, Timothy J Taylor. Originally
published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 16.02.2021. This is an open-access article
distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which
permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public
Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on
http://publichealth.jmir.org, as well as this copyright and license information must be included
Except where otherwise noted, this item's licence is described as ©Andrew James Williams, Tamaryn Menneer, Mansi Sidana, Tim Walker, Kath Maguire, Markus Mueller, Cheryl Paterson, Michael Leyshon, Catherine Leyshon, Emma Seymour, Zoë Howard, Emma Bland, Karyn Morrissey, Timothy J Taylor. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 16.02.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included