Evidence map›Paper›PMID 34322643›Full record

ArticleJournal of preventive medicine and hygiene2021

Translation and validation of the Italian version of the user version of the Mobile Application Rating Scale (uMARS).

Simone Morselli, Arcangelo Sebastianelli, Alexander Domnich, Chiara Bucchi, Pietro Spatafora, Andrea Liaci, Luca Gemma, Stavros Gravas, Donatella Panatto, Stoyan Stoyanov and 2 more

Abstract readValidation Study
In one paragraph

Article in Journal of preventive medicine and hygiene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  7. Validity and reliability assessment of the Persian version of the User Mobile Application Rating Scale.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
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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

12 authors.

Simone MorselliDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Arcangelo SebastianelliDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Alexander DomnichHygiene Unit, San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, Genoa, Italy.
Chiara BucchiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Pietro SpataforaDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Andrea LiaciDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Luca GemmaDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Stavros GravasDepartment of Urology, University of Thessaly, Larissa, Greece.
Donatella PanattoDepartment of Health Sciences, University of Genoa, Genoa, Italy.
Stoyan StoyanovSchool of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, QLD, Australia.
Sergio SerniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Mauro GacciDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth sciences are steadily developing apps to help people to adopt correct lifestyles and to help physicians to monitor patients with chronic diseases. However, a properly validated tool that can evaluate patients' perception of apps is still lacking in many languages. In English, a validated questionnaire, called User Version of the Mobile Application Rating Scale (uMARS), is currently available. We translated the uMARS into Italian and validated our version.

methodsThe uMARS questionnaire was translated from English to Italian by an official translator, and then administered to 100 smartphone users in order to evaluate the same app at times 1 and 2 (after 2 weeks). Paired t-test, Pearson Correlation Coefficient, Intraclass Correlation Coefficient (ICCs) and Cronbach's Alpha were used to evaluate the reliability and validity of the Italian uMARS.

resultsWe recruited 100 subjects, 52 males (52%) and 48 females (48%), with a mean age of 22.8 (SD: 3.4). All subjects answered all questions both at time 1 and at time 2. Paired t-test showed no statistically significant difference in each answer or group of answers between times 1 and 2 (P > 0.05). Cronbach's alpha was 0.945, as all subjects answered all questions. Each question was further assessed through the Pearson correlation coefficient, which demonstrated high reliability, with significant P (< 0.05) and Pearson Coefficients higher than 0.7. Similarly, ICCs were always higher than 0.750.

conclusionsOur results validated the Italian version of uMARS, which may become a reliable and useful tool for evaluating health apps.

Indexed as

Mobile ApplicationsTranslationsAdultFemaleHumansItalyLanguageMaleReproducibility of ResultsSurveys and QuestionnairesYoung AdultItalianTranslationuMARSUser version mobile application rating scaleValidation

Identifiers

PMID34322643
PMCPMC8283658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.