Evidence map›Paper›PMID 32452817›Full record

Trial reportJMIR mHealth and uHealth2020

A Questionnaire for Assessing User Satisfaction With Mobile Health Apps: Development Using Rasch Measurement Theory.

Jeanette Melin, Stephanie Erika Bonn, Leslie Pendrill, Ylva Trolle Lagerros

3 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. 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 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

NCT03579342 nacompletednot on this map

Using App-technology and a Personalized Health Plan to Improve Lifestyle Habits Among Working Adults - a Randomized Controlled Trial

TypeinterventionalSponsorKarolinska InstitutetRan2018 to 2019Enrolled209ConditionsLifestyle, Quality of Life, mHealth, Mobile ApplicationsArmsApp-technology and active coaching to improve lifestyles behaviors, App-technology to improve lifestyle behaviors
NCT05538455 nacompletednot on this mapstarted 2022, after this paper: background citation

ProCare4Life Pilot 3 Clinical Study: Investigating ProCare4Life Impact on Quality of Life of Elderly Subjects With Neurodegenerative Diseases

TypeinterventionalSponsorCasa di Cura Privata del Policlinico SpARan2022 to 2023Enrolled558ConditionsNeurodegenerative Diseases, Parkinson Disease, Alzheimer Disease, Quality of LifeArmsPC4L solutions
NCT06068309 nacompletednot on this mapstarted 2022, after this paper: background citation

Perception, Adherence, Clinical, Economical and Health-Related Quality of Life Outcomes of CareAide® App Usage in Chronic Diseases

TypeinterventionalSponsorUniversity of MalayaRan2022 to 2024Enrolled900ConditionsAdherence, Medication, Chronic Disease, Quality of Life, Economic BurdenArmsCareAide App Usage
3 · Its place in the literature

Who cites it

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

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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

4 authors.

Jeanette MelinResearch Institutes of Sweden AB, Göteborg, Sweden.ORCID 0000-0002-3700-3921
Stephanie Erika BonnClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2219-7970
Leslie PendrillResearch Institutes of Sweden AB, Göteborg, Sweden.ORCID 0000-0003-4349-500X
Ylva Trolle LagerrosClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-6816-7577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) apps offer great opportunities to deliver large-scale, cost-efficient digital solutions for implementing lifestyle changes. Furthermore, many mHealth apps act as medical devices. Yet, there is little research on how to assess user satisfaction with an mHealth solution.

objectiveThis study presents the development of the mHealth Satisfaction Questionnaire and evaluates its measurement properties.

methodsRespondents who took part in the Health Integrator Study and were randomized to use the Health Integrator smartphone app for lifestyle changes (n=112), with and without additional telephone coaching, rated their satisfaction with the app using the new 14-item mHealth Satisfaction Questionnaire. The ratings were given on a 5-point Likert scale and measurement properties were evaluated using Rasch measurement theory (RMT).

resultsOptimal scoring was reached when response options 2, 3, and 4 were collapsed, giving three response categories. After omitting two items that did not fit into the scale, fit residuals were within, or close to, the recommended range of ±2.5. There was no differential item functioning between intervention group, age group, or sex. The Person Separation Index was 0.79, indicating that the scale's ability to discriminate correctly between person leniency was acceptable for group comparisons but not for individual evaluations. The scale did not meet the criterion of unidimensionality; 16.1% (18/112) of the respondents were outside the desired range of -1.96 to 1.96. In addition, several items showed local dependency and three underlying dimensions emerged: negative experiences, positive experiences, and lifestyle consequences of using the mHealth solution.

conclusionsIn times where mHealth apps and digital solutions are given more attention, the mHealth Satisfaction Questionnaire provides a new possibility to measure user satisfaction to ensure usability and improve development of new apps. Our study is one of only a few cases where RMT has been used to evaluate the usability of such an instrument. There is, though, a need for further development of the mHealth Satisfaction Questionnaire, including the addition of more items and consideration of further response options. The mHealth Satisfaction Questionnaire should also be evaluated in a larger sample and with other mHealth apps and in other contexts.

trial registrationClinicalTrials.gov NCT03579342; http://clinicaltrials.gov/ct2/show/NCT03579342.

Indexed as

Mobile ApplicationsTelemedicineHumansPersonal SatisfactionSurveys and Questionnairescell phonehealthy lifestylemethodsmobile applicationsmobile phonepsychometricssmartphonetelemedicine

Identifiers

PMID32452817
PMCPMC7284402

What OpenQuestion 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 OpenQuestion graph.