Fostering Engagement With Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort
| Autor: | Mansi Sidana, Tim Taylor, Kath Maguire, Emma Bland, Andrew James Williams, Tamaryn Menneer, Cheryl Paterson, Zoë Howard, Tim Walker, Karyn Morrissey, Emma Seymour, Michael Leyshon, Markus Mueller, Catherine Leyshon |
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| Přispěvatelé: | University of St Andrews. Population and Behavioural Science Division, University of St Andrews. School of Medicine |
| Rok vydání: | 2021 |
| Předmět: |
Male
social network analysis User-centred design 020205 medical informatics Community HN 02 engineering and technology Cohort Studies Social network analysis 0302 clinical medicine RA0421 Surveys and Questionnaires RA0421 Public health. Hygiene. Preventive Medicine 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine Sociology Marketing Middle Aged Telemedicine Scale (social sciences) community Female Public aspects of medicine RA1-1270 Adult Public housing Health Informatics Persona 03 medical and health sciences Quality of life (healthcare) SDG 3 - Good Health and Well-being HN Social history and conditions. Social problems. Social reform eHealth Humans Aged User-centered design Original Paper mobile phone Community Participation Public Health Environmental and Occupational Health DAS T Technology United Kingdom Local community Housing Diffusion of Innovation User-Centered Design Mobile phone Cell Phone |
| Zdroj: | JMIR Public Health and Surveillance, Vol 7, Iss 2, p e25037 (2021) JMIR Public Health and Surveillance |
| ISSN: | 2369-2960 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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