Sin, PHJ; Woodham, L; Henderson, C; Williams, E; Sesé Hernández, A; Gillard, S
(2019)
Usability evaluation of an eHealth intervention for family carers of individuals affected by psychosis: A mixed-method study.
Digital Health, 5.
ISSN 2055-2076
https://doi.org/10.1177/2055207619871148
SGUL Authors: Sin, Pui Han Jacqueline
Abstract
Background
Existing research suggests that eHealth interventions targeting family carers of individuals with long-term illness offer a promising approach to care delivery. In particular, digital psychoeducational interventions with interactive psychosocial support are well-received with high rates of satisfaction and acceptability. However, development of such interventions for psychosis carers is lacking. We developed a multi-component eHealth intervention specifically for carers of individuals affected by psychosis, called COPe-support (Carers fOr People with Psychosis e-support).
Objective
Using mixed methods to evaluate usability, system heuristics and perceived acceptability, we conducted a usability study to establish the suitability of the intervention prototype for the target user group.
Methods
Twenty-three carers were recruited to the study and participated in a think-aloud test or a remote online trial of the intervention. Qualitative feedback, post-use System Usability Scale (SUS) scores, and real-world usage data collected from the tests were analysed. These were also supplemented with heuristic evaluation data provided by an independent eLearning technology expert.
Results
Participants evaluated the intervention content as useful and helpful, and indicated that the system had satisfactory usability with a mean SUS score of 73%, above the usability quality benchmark threshold. Study results identified some minor usability issues, which were corroborated with the eLearning expert’s heuristic evaluation findings. We used these results to refine the COPe-support intervention.
Conclusions
The usability study with end-users and service providers identified real-life usage and usability issues. The study results helped us refine COPe-support and its delivery strategy before its launch as part of a large-scale clinical trial.
Item Type: |
Article
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Additional Information: |
© The Author(s) 2019
Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
SGUL Research Institute / Research Centre: |
Academic Structure > Population Health Research Institute (INPH) |
Journal or Publication Title: |
Digital Health |
ISSN: |
2055-2076 |
Dates: |
Date | Event |
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28 August 2019 | Published Online | 31 July 2019 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
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URI: |
https://openaccess.sgul.ac.uk/id/eprint/111158 |
Publisher's version: |
https://doi.org/10.1177/2055207619871148 |
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