Journal article 729 views 107 downloads
System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis
,
Raymond Bond ,
Maurice Mulvenna ,
Lu Bai ,
Alan Dix ,
Simon Leigh ,
Sophie Hunt
JMIR mHealth and uHealth, Volume: 10, Issue: 8, Start page: e37290
Swansea University Author:
Alan Dix
-
PDF | Version of Record
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work.
Download (367.79KB)
DOI (Published version): 10.2196/37290
Abstract
Background:The System Usability Scale (SUS) is a widely used scale that has been used to quantify the usability of many software and hardware products. However, the SUS scale was not specifically designed to evaluate mobile apps, or indeed Digital Health Apps (DHAs).Objective:The objective of this s...
| Published in: | JMIR mHealth and uHealth |
|---|---|
| ISSN: | 2291-5222 |
| Published: |
JMIR Publications Inc.
2022
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa60682 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
Background:The System Usability Scale (SUS) is a widely used scale that has been used to quantify the usability of many software and hardware products. However, the SUS scale was not specifically designed to evaluate mobile apps, or indeed Digital Health Apps (DHAs).Objective:The objective of this study is to examine whether the widely used SUS distribution for benchmarking (mean of 68 and standard deviation of 12.5) can be used to reliably assess the usability of DHAs.Methods:A search of the literature was performed using ACM Digital Library, IEEE Xplore, CORE, PubMed, and Google Scholar databases to identify SUS scores related to the usability of DHAs for meta-analysis. In total, 117 SUS scores for 114 DHAs were identified. R Studio and the R programming language was used to model the DHA SUS distribution, with a one-sample t-test used to compare this distribution with the standard SUS distribution.Results:The mean SUS score when all the collected apps were included was 76.64±15.12 (mean ± standard deviation), however this distribution exhibited asymmetrical skewness (-0.52) and was not normally distributed according to Shapiro-Wilk test (P=.002). The mean SUS score for ‘physical activity’ apps was 83.28±12.39 and was driving the skewness. Hence, the mean SUS score for all collected apps, excluding ‘physical activity’ apps, was 68.05 ± 14.05. A one-sample t-test indicated that this health app SUS distribution was not statistically significantly different from the standard SUS distribution (P=.98).Conclusions:This study concludes that SUS and the widely accepted benchmark of a mean SUS score of 68±12.5 is suitable for evaluating the usability of DHAs. |
|---|---|
| Keywords: |
mHealth SUS scores meta-analysis; SUS for digital health; digital health apps usability; mHealth usability; SUS meta-analysis; mHealth; mobile app; mobile health; digital health; System Usability Scale |
| College: |
Faculty of Science and Engineering |
| Issue: |
8 |
| Start Page: |
e37290 |