Exploring the usability of a web-based platform for supporting people with dementia- related disorders and their caregivers
Zafeiridi, Paraskevi; Paulson, Kevin; Dunn, Rosie; Wolverson, Emma; White, Caroline; Thorpe, Jonathan Adrian; Antomarini, Marco; Cesaroni, Francesca; Scocchera, Francesca; Landrin-Dutot, Isabelle; Malherbe, Laetitia; Lingiah, Hendi; Bérard, Marie; Gironès, Xavier; Quintana, Maria; Cortés, Ulises; Barrué, Cristian; Cortés, Atia; Paliokas, Ioannis; Votis, Konstantinos; Tzovaras, Dimitrios
Dr Emma Wolverson E.Wolverson@hull.ac.uk
Senior Lecturer Ageing and Dementia. MSc Dementia programme co-director.
Ms Caroline White C.White@hull.ac.uk
Jonathan Adrian Thorpe
Background: The increasing number of People with Dementia (PwD) drives research exploring web-based support interventions to provide effective care for larger populations. In this concept, a web-based platform (CAREGIVERSPRO-MMD, 620911) was designed to i) improve the quality of life for PwD, ii) reduce caregiver burden, iii) reduce the financial costs for care, and to iv) reduce administration time for health and social care professionals.
Objective: To evaluate the usability and usefulness of CAREGIVERSPRO-MMD platform for PwD or Mild Cognitive Impairment (MCI), informal caregivers, health and social care professionals in respect of a wider strategy followed by the project to enhance the user-centred approach. A secondary aim of the study was to collect recommendations in order to improve the platform prior to the future pilot study.
Methods: A mixed methods design recruiting PwD or MCI (N= 24), informal caregivers (N= 24) and professionals (N= 10). Participants were asked to rate their satisfaction, the perceived usefulness and ease of use of each function of the platform. Qualitative questions about the improvement of the platform were asked when participants provided low scores for a function. Testing occurred at baseline and one week after participants used the platform. The dropout rate from baseline to the follow-up was approximately 10%.
Results: After one week of platform use, the system was useful for 90% of the caregivers (20.75/23) and for 89% of the professionals (5.36/6). When users responded to more than one question per platform function, the mean of satisfied users per function was calculated. These user groups also provided positive evaluations for the ease of use (caregivers: 82%, 18.75/23; professionals: 97%, 5.82/6) and their satisfaction with the platform (caregivers: 79%, 18.08/23; professionals: 73%, 4.36/6). Ratings from PwD were lower than the other groups for usefulness (57%, 13/23), ease of use (41%, 9.4/23) and overall satisfaction (47%, 11/23) with the platform (P
|Journal Article Type||Article|
|Publication Date||Mar 12, 2018|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Zafeiridi, P., Paulson, K., Dunn, R., Wolverson, E., White, C., Thorpe, J. A., …Tzovaras, D. (2018). Exploring the usability of a web-based platform for supporting people with dementia- related disorders and their caregivers. JMIR Formative Research, 2(1), https://doi.org/10.2196/formative.9083|
©Paraskevi Zafeiridi, Kevin Paulson, Rosie Dunn, Emma Wolverson, Caroline White, Jonathan Adrian Thorpe, Marco Antomarini,
Francesca Cesaroni, Francesca Scocchera, Isabelle Landrin-Dutot, Laëtitia Malherbe, Hendi Lingiah, Marie Bérard, Xavier
Gironès, Maria Quintana, Ulises Cortés, Cristian Barrué, Atia Cortés, Ioannis Paliokas, Konstantinos Votis, Dimitrios Tzovaras.
Originally published in JMIR Formative Research (http://formative.jmir.org), 12.03.2018. 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 Formative
Research, is properly cited. The complete bibliographic information, a link to the original publication on http://formative.jmir.org,
as well as this copyright and license information must be included.
You might also like
Categorisation of Mobile EEG: A Researcher's Perspective
Estimating 1min rain rate distributions from numerical weather prediction