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Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort
BACKGROUND: 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 p...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925145/ https://www.ncbi.nlm.nih.gov/pubmed/33591284 http://dx.doi.org/10.2196/25037 |
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author | Williams, Andrew James Menneer, Tamaryn Sidana, Mansi Walker, Tim Maguire, Kath Mueller, Markus Paterson, Cheryl Leyshon, Michael Leyshon, Catherine Seymour, Emma Howard, Zoë Bland, Emma Morrissey, Karyn Taylor, Timothy J |
author_facet | Williams, Andrew James Menneer, Tamaryn Sidana, Mansi Walker, Tim Maguire, Kath Mueller, Markus Paterson, Cheryl Leyshon, Michael Leyshon, Catherine Seymour, Emma Howard, Zoë Bland, Emma Morrissey, Karyn Taylor, Timothy J |
author_sort | Williams, Andrew James |
collection | PubMed |
description | BACKGROUND: 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. |
format | Online Article Text |
id | pubmed-7925145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-79251452021-03-05 Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort Williams, Andrew James Menneer, Tamaryn Sidana, Mansi Walker, Tim Maguire, Kath Mueller, Markus Paterson, Cheryl Leyshon, Michael Leyshon, Catherine Seymour, Emma Howard, Zoë Bland, Emma Morrissey, Karyn Taylor, Timothy J JMIR Public Health Surveill Original Paper BACKGROUND: 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. JMIR Publications 2021-02-16 /pmc/articles/PMC7925145/ /pubmed/33591284 http://dx.doi.org/10.2196/25037 Text en ©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. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Original Paper Williams, Andrew James Menneer, Tamaryn Sidana, Mansi Walker, Tim Maguire, Kath Mueller, Markus Paterson, Cheryl Leyshon, Michael Leyshon, Catherine Seymour, Emma Howard, Zoë Bland, Emma Morrissey, Karyn Taylor, Timothy J Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort |
title | Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort |
title_full | Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort |
title_fullStr | Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort |
title_full_unstemmed | Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort |
title_short | Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort |
title_sort | fostering engagement with health and housing innovation: development of participant personas in a social housing cohort |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925145/ https://www.ncbi.nlm.nih.gov/pubmed/33591284 http://dx.doi.org/10.2196/25037 |
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