Evidence map›Paper›PMID 30973342›Full record

ArticleJMIR mHealth and uHealth2019

The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study.

Leming Zhou, Jie Bao, I Made Agus Setiawan, Andi Saptono, Bambang Parmanto

9 registry-linked trialsAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 9 registered trials, which are not on this map. Cited by 420 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
420citing papers in PubMed, 9 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.

NCT05274360 nacompletednot on this mapstarted 2021, after this paper: background citation

Neuroscience-Based Aphasia Therapy Adapted to Remote, Mobile-Based Treatment

TypeinterventionalSponsorInstitute for Bioengineering of CataloniaRan2021 to 2021Enrolled15ConditionsAphasia, Broca, Aphasia, Wernicke, Aphasia, Fluent, Aphasia, NonfluentArmsMobile evidence-based aphasia therapy, Conventional aphasia rehabilitation
NCT05374408 completednot on this mapstarted 2022, after this paper: background citation

IDeA-CTR-Using Mobile Technology to Address the Trauma Mental Health Treatment Gap in Primary Care: Developing Implementation Protocols for Primary Care

TypeobservationalSponsorUniversity of NebraskaRan2022 to 2024Enrolled29ConditionsPost Traumatic Stress DisorderArmsAim 2: BounceBack Now (BBN) for Trauma Informed Care Deployment, Aim 1 Participant Focus Groups, Aim 1 BHP Focus Groups, Aim 2: BHP, Provider, Staff and Admin Focus Groups, Aim 2 : Participant Focus Group
NCT05963802 nacompletednot on this mapstarted 2023, after this paper: background citation

Crossover Randomized Controlled Trial to Evaluate the Efficacy and Usability of Artificial Intelligence (ChatGPT) for Health Sciences Students (AIHSS)

TypeinterventionalSponsorCarleton UniversityRan2023 to 2023Enrolled26ConditionsEducational Activities, AI (Artificial Intelligence)ArmsArtificial Intelligence (ChatGPT) Group
NCT06455397 narecruitingnot on this mapstarted 2024, after this paper: background citation

Implementing BEAM: An mHealth Tool to Prevent Mental Health Problems and Improve Developmental Outcomes in Young Children

TypeinterventionalSponsorLeslie E. RoosRan2024 to 2027Enrolled400ConditionsDepression, Anxiety, Anger, Parenting, Stress, PsychologicalArmsThe Building Emotional Awareness and Mental Health (BEAM) Program
NCT06647121 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

A Randomized Pilot and Feasibility Trial Investigating a Mobile Application-Delivered Mindfulness Exercise for Navigating Psychological Distress: Dropping Anchor Delivered As a Stepwise Image Sequence

TypeinterventionalSponsorBarbel KnauperRan2024 to 2025Enrolled60ConditionsPsychological DistressArmsACT Psychoeducational Workshop, ACTaide Mobile App, Reminders-only mobile app
NCT06983808 narecruitingnot on this mapstarted 2026, after this paper: background citation

The PREBEAT Trial: Digital PREhaBilitation in thE Cardiac Surgical populATion

TypeinterventionalSponsorClaire HinesRan2026 to 2027Enrolled40ConditionsCardiovascular DiseasesArmsDigital Cardiac Prehabilitation, Control (Standard treatment)
NCT07686848 nanot yet recruitingnot on this mapstarted 2028, after this paper: background citation

Evaluating the Impact of a Smartphone App on Health Outcomes and Treatment Adherence in Adolescents With Idiopathic Scoliosis: A Mixed Method Quasi-Experimental Study

TypeinterventionalSponsorOslo Metropolitan UniversityRan2028 to 2031Enrolled30ConditionsAdolescence Idiopathic Scoliosis, AISArmsDinSkoliose smartphone application
NCT07722442 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Feasibility, Acceptability and Preliminary Efficacy of a Personalised Behavioural Intervention to Improve Adherence to Dietary and Lifestyle Cancer Prevention Recommendations in Adults Attending Breast and Colorectal Cancer Screening Programmes: A Three-Arm Randomised Pilot Trial (CANVIA)

TypeinterventionalSponsorFundació d'investigació Sanitària de les Illes BalearsRan2026 to 2028Enrolled162ConditionsDietary and Lifestyle Behaviour ChangeArmsPersonalised baseline feedback report, CANVIA mobile app intervention, Additional health professional support
NCT07774910 nacompletednot on this mapstarted 2024, after this paper: background citation

The Effectiveness of a Notification- and Reminder-Based Educational Application in Improving Maternal Oral Health Literacy and the Dental Health Status of Preschool Children in Pancoran Mas

TypeinterventionalSponsorPani Matin AnugrahRan2024 to 2024Enrolled200ConditionsApplication, Oral Health, Oral Health Literacy, Oral HygieneArmsPeri Bugi Mobile Application, Printed Booklet
3 · Its place in the literature

Who cites it

420 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  4. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  8. Quality Assessment of Digital Health Apps: Umbrella Review.Journal of medical Internet research · 2024
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360 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

5 authors.

Leming ZhouDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-4398-0267
Jie BaoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-1608-7214
I Made Agus SetiawanDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0001-8383-8471
Andi SaptonoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-0933-8150
Bambang ParmantoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-4907-8402

Funding

Harvard Prevention Research Center on Nutrition and Phy*U48DP000064 · DP · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GORTMAKER, STEVEN L · 2004 to 2009
$4.5M
NCCDPHP CDC HHS U48 DP000064
6 · The paper itself

Abstract

backgroundAfter a mobile health (mHealth) app is created, an important step is to evaluate the usability of the app before it is released to the public. There are multiple ways of conducting a usability study, one of which is collecting target users' feedback with a usability questionnaire. Different groups have used different questionnaires for mHealth app usability evaluation: The commonly used questionnaires are the System Usability Scale (SUS) and Post-Study System Usability Questionnaire (PSSUQ). However, the SUS and PSSUQ were not designed to evaluate the usability of mHealth apps. Self-written questionnaires are also commonly used for evaluation of mHealth app usability but they have not been validated.

objectiveThe goal of this project was to develop and validate a new mHealth app usability questionnaire.

methodsAn mHealth app usability questionnaire (MAUQ) was designed by the research team based on a number of existing questionnaires used in previous mobile app usability studies, especially the well-validated questionnaires. MAUQ, SUS, and PSSUQ were then used to evaluate the usability of two mHealth apps: an interactive mHealth app and a standalone mHealth app. The reliability and validity of the new questionnaire were evaluated. The correlation coefficients among MAUQ, SUS, and PSSUQ were calculated.

resultsIn this study, 128 study participants provided responses to the questionnaire statements. Psychometric analysis indicated that the MAUQ has three subscales and their internal consistency reliability is high. The relevant subscales correlated well with the subscales of the PSSUQ. The overall scale also strongly correlated with the PSSUQ and SUS. Four versions of the MAUQ were created in relation to the type of app (interactive or standalone) and target user of the app (patient or provider). A website has been created to make it convenient for mHealth app developers to use this new questionnaire in order to assess the usability of their mHealth apps.

conclusionsThe newly created mHealth app usability questionnaire-MAUQ-has the reliability and validity required to assess mHealth app usability.

Indexed as

AdolescentAdultAgedFemaleHumansMaleMiddle AgedPennsylvaniaPsychometricsReproducibility of ResultsSurveys and QuestionnairesTechnology Assessment, BiomedicalTelemedicineValidation Studies as Topicmobile appsquestionnaire designreliability and validity

Identifiers

PMID30973342
PMCPMC6482399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

and 3 more above

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 OpenQuestion graph.