Intergenerational codesign hero image
“Technologies can fail because of poor design, which stems from a lack of understanding of the actual requirements of the expected end-users” ( Dr Hannah Bradwell, the New Statesman, 8 December 2023 – 11 January, 2024).
Building on our earlier work in the European Regional Development funded E-Health Productivity & Innovation in Cornwall (EPIC) projects, co-design has become a cornerstone of the Centre for Health Technology’s work. We seek to accelerate digital transformations by empowering end users, developers, patients, and health and care staff by actively involving them in the design of technologies that work and meet their needs and expectations – these can respond to issues of quality, usability, ergonomics, or finance, to name a few co-design considerations. Our researchers have also explored staff attitudes towards digital innovation in a range of settings, from social care and general practice to outpatient, inpatient and specialist rehabilitation centres. We do so with a multi-disciplinary team of researchers including creatives, technologists and health researchers collaborating across three faculties and multiple external partnerships.

Recent publications

Bailey JV, Bennett KF, Gubijev A, Shawe J, Stephenson J. Participant views and experiences of sexual health research: The Contraception Choices online trial. Digital Health. 2021;7.
Baines R, Bradwell H, Edwards K, Stevens S, Prime S, Tredinnick-Rowe J, Sibley M & Chatterjee A (2022). Meaningful patient and public involvement in digital health innovation, implementation and evaluation: A systematic review. Health Expectations 25(4):1232-1245
Baines R, Underwood F, O’Keeffe K, Saunders J & Jones RB (2021). Implementing online patient feedback in a ‘special measures’ acute hospital: A case study using Normalisation Process Theory. Digital Health 7:20552076211005962
Bradwell HL, Aguiar Noury GE, Edwards KJ, Winnington R, Thill S & Jones RB (2021). Design recommendations for socially assistive robots for health and social care based on a large scale analysis of stakeholder positions. Health Policy and Technology 10, (3)
Bradwell HL, Cooper L, Edwards KJ, Baxter R, Tomaz SA, Ritchie J, Gaudl S, Veliz-Reyes A, Ryde GC, Križaj T, Warren A, Chatterjee A, Willis K, Haynes R, Hennessy CH, Whittaker AC, Asthana S, Jones RB; GOALD project. (2023). Staff perceptions towards virtual reality-motivated treadmill exercise for care home residents: a qualitative feedback study with key stakeholders and follow-up interview with technology developer. BMJ Open. 2023 Nov 23;13(11):e073307.
Bradwell HL, Edwards K, Shenton D, Winnington R, Thill S & Jones RB (2021). User-Centered Design of Companion Robot Pets Involving Care Home Resident-Robot Interactions and Focus Groups with Residents, Staff, and Family: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 8 (4)
Bradwell HL, Edwards KJ, Baines R, Page T, Chatterjee A, Jones RB (2023). Facial recognition lock technology for social care settings: A qualitative evaluation of implementation of facial recognition locks at two residential care sites, Frontiers in Digital Health, Vol.5 
Bradwell HL, Winnington R, Thill S & Jones RB (2020). Ethical perceptions towards real-world use of companion robots with older people and people with dementia: survey opinions among younger adults. BMC Geriatrics 20 (1)
Bradwell, H., Cooper, L.,  Tomaz, S.,  Baxter, R.,  Edwards, K., Whittaker A.C.,  &  Jones, R.B. (2023). Implementation of virtual reality motivated physical activity via omnidirectional treadmill in a supported living facility for older adults: A mixed-methods evaluation. CHI '24, May 11–16, 2024, Honolulu, HI, USA.
Buckingham SA, Anil K, Demain S, Gunn H, Jones RB, Kent B, Logan A, Marsden J, Playford ED & Freeman J (2022). Telerehabilitation for People with Physical Disabilities and Movement Impairment: A Survey of United Kingdom Practitioners. JMIRx Med 3(1):e30516
Buckingham SA, Walker T, Morrissey K. (2022). The feasibility and acceptability of digital technology for health and wellbeing in social housing residents in Cornwall: A qualitative scoping study. Digital Health. 2022; 8:20552076221074124.
Chapman R, Zeissler M-L, Meinert E, Mullin S, Whipps S, Whipps J, Hockey K, Hockey P & Carroll CB (2023). Incorporating usability evaluation into iterative development of an online platform to support research participation in Parkinson’s disease: a mixed methods protocol. BMJ Open 13, (12) e078638-e078638
Costa LV, Veloso AI, Sousa L, Loizou M & Arnab S (2021). Older Adults “Jump” into co Desiging a Digital Game. Lecture Notes in Computer Science book series (LNISA, volume 12786)
Day JO, Smith S, Noyce AJ, Alty J, Jeffery A, Chapman R, Carroll C. (2022). Challenges of Incorporating Digital Health Technology Outcomes in a Clinical Trial: Experiences from PD STAT. J Parkinsons Dis. 2022;12(5):1605-1609
Edwards K, Bradwell H, Jones R, Andrade J & Shawe J (2021). How do women with a history of gestational diabetes mellitus use mHealth during and after pregnancy? Qualitative exploration of women's views and experiences. Midwifery, 98:102995.
Frost, J., Hobson-Merrett, C., Gask, L. et al. (2023). Liquidity and uncertainty: digital adaptation of a complex intervention for people with severe mental illness during the COVID-19 lockdown. BMC Digit Health 1, 28 (2023).
Hagen, O., Varga, M., Baxter, R., Jones, R.B., Aly, A., Bazazian, D., Gaudl, S., Veliz Reyes, A., 'Insights from C-Design of Underwater Telepresence and Extended Reality Technologies with Digitally Excluded Older Adults.' Proceedings of the 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health- Volume 1: ICT4AWE. https://www.scitepress.org/Papers/2024/127419/127419.pdf
Jones, R. B., Baxter, R., Varga, M. N., Hagen, O., Aly, A., Bazazian, D., Veliz Reyes, A., Gaudl, S., 'Intergenerational Technology Codesign in Deprived Coastal Regions.' Proceedings of the 18th International Conference on Digital Society.
Knight, J., Haines, A., Peres, N., Bellali, J. (2022). A Co-Design Solution to Digital Literacy in Health Provision. Torbay and South Devon NHS Foundation Trust.
Lambert JD, Elliott LR, Taylor AH, Farrand P, Haase AM, Greaves CJ (2021) A novel method for assessing design fidelity in web-based behavioral interventions. Health Psychology Vol.40 Iss.3 10.1037/hea0001046
Maramba ID & Chatterjee A (2022). Continuous User Experience Monitoring of a Patient-Completed Preoperative Assessment System in the United Kingdom: Cross-sectional Study. JMIRx Med 3(1):e31679
Maramba ID. (2022). A Toolkit for the Usability Evaluation of Digital Health Technologies. DOI: 10.14236/ewic/HCI2022.55
Milne-Ives M, Homer SR, Andrade J & Meinert E (2023). Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review. Frontiers in Psychology 14:1227443
Morris B, Warren A, Bradwell H & Noonan M (2023). Barriers and facilitators to the adoption and use of assistive technology for adults with an intellectual disability who live in supported accommodation: a mixed methods systematic review protocol. JBI Evidence Synthesis 21(6):1259-1269
Schermuly AC, Petersen A & Anderson A (2021) ‘I’m not an activist!’: digital self-advocacy in online patient communities, Critical Public Health, 31:2, 204-213,
Thomas, N., Kay, E., Witton, R. et al. (2021). Comparison of a full arch digital photographic assessment of caries prevalence in 5-year-old children to an established visual assessment method: a cross-sectional study. BDJ Open 7, 32
Veliz Reyes, A., Varga, M., Bradwell, H., Baxter, R., Jones, R. B., Maudlin, D., 'Codesign principles for effective extended reality (XR) systems for health and care in rural and coastal communities.' 
Veliz Reyes, A., Varga, M., Bradwell, H., Baxter, R., 'Unlocking social innovation in XR for Healthcare in coastal communities.' 2nd Workshop on XR for Healthcare and Wellbeing - (XR Health) 2023 (IEEE 2023). 25-29 March, Shanghai, China. DOI: 10.1109/VRW58643.2023.00032. 
Wright H, Martin F, Clyne W, Clark CCT, McGillion M, Matouskova G, Turner A. (2020). A Digital Program (Hope) for People Living with Cancer During the COVID-19 Pandemic: Protocol for a Feasibility Randomized Controlled Trial. JMIR Res Protoc 2020;9(12):e24264
Zamir S, Allman F, Hennessy CH, Taylor AH & Jones RB (2021). Aesthetically Designing Video-Call Technology with Care Home Residents: A Focus Group Study. Frontiers in Psychology 12:540048

Hear from those involved

GOALD awareness film – involving users in the design process: filmed at a Plymouth stakeholder event, this video gives an overview of the GOALD project and how we are working with intergenerational groups to co-design digital technologies that aim to improve health and wellbeing for older people.
Why did Kensa Health engage with EPIC? Founder and Head of Digital at Kensa Health, Caitlin Gould talks about why they chose to engage with EPIC – gaining access to academic and research support alongside funding.

The GOALD toolkit – the impact of co-design

Design considerations for development of technologies to support physical and mental activity for older adults.
The Plymouth Community Homes Digital Living Lab
There are many smart solutions to creating healthier home environments, from enabling localized and remote control of the built environment, promoting virtual exposure to green and blue spaces and supporting activities of daily living to remotely monitoring and notify health and care staff of abnormal events. 
In contexts (generally outside the UK) that allow the real-time transfer of physiological data from wearables to electronic patient records, there is evidence of benefit to elderly care in general, for example, as well as supporting the early diagnosis of deterioration in, for instance, cardiovascular, neurological and pulmonary diseases and the identification (for example through AI) of triggers for rapid intervention. Smart devices and environmental sensors can also facilitate the remote monitoring of the home environment as well as important physiological signs and activities of occupants, supporting functions from the simple (such as alarms for critical event alerts) to the more complex diagnosis of risk (for instance for falls or dementia). There are now plausible studies demonstrating the potential value of VR in supporting a range of physical, mental, or psychosocial health outcomes, including pain management, cognition and depression. Care robotics are also an emerging technology in the UK and can support independence in daily activities as well as compliance (such as in treatment regimes). There are also numerous applications of AI/ML. Voice assistants can be used to set simple reminders to do things like take medicines. As the uptake of wearables, personal devices and sensors increases, the potential of AI based technologies to monitor individual patient risk and design intelligent triggers will also escalate.
These are all very exciting developments – in the laboratory. What are citizens’ views on technologies, with respect to the impacts on their privacy, concerns about surveillance, requirements for safe and clinically validated care as well as confidence in the technology (and in connectivity)? Do people want increasing numbers of gadgets or integrated (and NHS validated) systems for remote monitoring, for example? 
These are questions that can only be worked out in partnership with end-users (citizens and health care staff), technology developers and health and care systems. What a digital living lab enables is stakeholder collaboration from the outset and citizen feedback throughout the process of co-design, prototyping, piloting and evaluation. Against this background the decision, by Plymouth Community Homes (PCH), to work together with CHT to become a digital living lab is a very exciting development. Catering to the housing needs of a very diverse population of over 35,000 individuals residing in Plymouth and its rural environs, the Plymouth Living Lab is poised to be the largest in the world. 
While we are at an early stage of this partnership, we have secured investment from Cisco to support a living lab user engagement researcher. This researcher will work with citizens, clinicians (primary, community and acute), local authority staff (such as those in social care), the VCSE sector and industry to support the co-design, piloting and evaluation of home-based technologies and to create an innovative environment in which stakeholders can experiment and test disruptive technologies in a safe environment. This is an amazing opportunity for the health and care sectors, academics and industry, insofar as it offers a space for the latter to demonstrate the value proposition of digital health technologies. We hope that CHT partners across all these sectors recognise the value of this and help us to build DHTs that work for both citizens and staff.

Our co-design toolkit for developers

Developed from research conducted as part of the Generating Older Active Lives Digitally (GOALD) project at the University of Plymouth and University of Stirling, we have created a toolkit for technology developers to support with the creation of digital products for older adults with a focus on promoting physical activity. It is made up of three sections:
  1. General recommendations for all technologies designed for older adults.
  2. Virtual Reality (VR) sub section for those working with immersive technologies.
  3. Physical activity platforms sub section (i.e. websites, apps, games).
Icon of a toolkit

Our researchers