Evidence mapPaperPMID 35980732Full record

SynthesisJMIR mHealth and uHealth2022

System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis.

Maciej Hyzy, Raymond Bond, Maurice Mulvenna, Lu Bai, Alan Dix, Simon Leigh, Sophie Hunt

3 registry-linked trialsAbstract readMeta-Analysis
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 222 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
222citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06753643 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Implementing the National Frailty Policy in Singapore's Primary Care: A Pilot Feasibility Study of The Intrinsic Capacity ProMotion in PrimAry Care for The Frail Program (IMPACTFrail)

TypeobservationalSponsorGeriatric Education and Research InstituteRan2025 to 2026Enrolled180ConditionsHealthy Ageing, FrailtyArmsThe IMPACTFrail programme
NCT07410689 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

SAFE.AI: Developing and Testing an AI-based Hybrid Chatbot for Financial Empowerment in Rural Cancer Care

TypeinterventionalSponsorUniversity of UtahRan2026 to 2027Enrolled60ConditionsCancer, Financial ToxicityArmsRule-Based Chatbot, Hybrid Chatbot
NCT07426575 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluating the Usability of New Dialysis Bags for Continuous Renal Replacement Therapy: A Survey Among ICU Nurses

TypeobservationalSponsorErasmus Medical CenterRan2026 to 2027Enrolled126ConditionsRenal Replacement Therapies
3 · Its place in the literature

Who cites it

222 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Spirometry Monitoring and Asthma Responsibility in Kids (SMARt-Kids): A Mixed-Methods Study.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners · 2026
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162 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maciej HyzySchool of Computing, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0003-0791-8976
Raymond BondSchool of Computing, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0002-1078-2232
Maurice MulvennaSchool of Computing, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0002-1554-0785
Lu BaiSchool of Computing, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0003-1242-5412
Alan DixComputational Foundry, Swansea University, Swansea, United Kingdom.ORCID 0000-0002-5242-7693
Simon LeighOrganisation for the Review of Care and Health Applications, Daresbury, United Kingdom.ORCID 0000-0002-6843-6447
Sophie HuntOrganisation for the Review of Care and Health Applications, Daresbury, United Kingdom.ORCID 0000-0001-9515-6582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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 was not specifically designed to evaluate mobile apps, or in particular digital health apps (DHAs).

objectiveThe aim of this study was to examine whether the widely used SUS distribution for benchmarking (mean 68, SD 12.5) can be used to reliably assess the usability of DHAs.

methodsA search of the literature was performed using the ACM Digital Library, IEEE Xplore, CORE, PubMed, and Google Scholar databases to identify SUS scores related to the usability of DHAs for meta-analysis. This study included papers that published the SUS scores of the evaluated DHAs from 2011 to 2021 to get a 10-year representation. In total, 117 SUS scores for 114 DHAs were identified. R Studio and the R programming language were used to model the DHA SUS distribution, with a 1-sample, 2-tailed t test used to compare this distribution with the standard SUS distribution.

resultsThe mean SUS score when all the collected apps were included was 76.64 (SD 15.12); 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 (SD 12.39) and drove the skewness. Hence, the mean SUS score for all collected apps excluding "physical activity" apps was 68.05 (SD 14.05). A 1-sample, 2-tailed t test indicated that this health app SUS distribution was not statistically significantly different from the standard SUS distribution (P=.98).

conclusionsThis study concludes that the SUS and the widely accepted benchmark of a mean SUS score of 68 (SD 12.5) are suitable for evaluating the usability of DHAs. We speculate as to why physical activity apps received higher SUS scores than expected. A template for reporting mean SUS scores to facilitate meta-analysis is proposed, together with future work that could be done to further examine the SUS benchmark scores for DHAs.

Indexed as

Mobile ApplicationsTelemedicineBenchmarkingHumansdigital healthdigital health apps usabilitymHealthmHealth SUS scores meta-analysismHealth usabilitymobile appmobile healthSUS for digital healthSUS meta-analysisSystem Usability Scale

Identifiers

PMID35980732
PMCPMC9437782

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.