Quality of a Supporting Mobile App for Rheumatic Patients: Patient-Based Assessment Using the User Version of the Mobile Application Scale (uMARS)

dc.contributor.authorLambrecht, Antonia
dc.contributor.authorVuillerme, Nicolas
dc.contributor.authorRaab, Christina
dc.contributor.authorSimon, David
dc.contributor.authorMessner, Eva-Maria
dc.contributor.authorHagen, Melanie
dc.contributor.authorBayat, Sara
dc.contributor.authorKleyer, Arnd
dc.contributor.authorAubourg, Timothée
dc.contributor.authorSchett, Georg
dc.contributor.authorHueber, Axel
dc.contributor.authorKnitza, Johannes
dc.date.accessioned2021-08-06
dc.date.available2023-10-09T17:03:33Z
dc.date.created2021
dc.date.issued2021-08-06
dc.description.abstractIntroduction: Mobile applications promise to improve current health care. However, current mobile app quality ratings are mostly physician-based. The aim of this study was (1) to assess the quality of the self-management app Rheuma Auszeit using the validated uMARS (User Version of the Mobile App Rating Scale) app quality assessment tool and (2) to evaluate the association between uMARS scores and patients' characteristics. Materials and Methods: Consecutive patients with rheumatoid arthritis, psoriatic arthritis and spondyloarthritis were seen at the rheumatology clinic at university hospital Erlangen, Germany. They were asked to test Rheuma Auszeit, evaluate its quality using uMARS and complete a paper-based survey evaluating the individual preferences, attitudes and ehealth literacy. The association between uMARS scores and patients' characteristics was further explored. Results: Between December 2018 and January 2019, a total of 126 patients evaluated Rheuma Auszeit using uMARS and filled out the paper-based survey. The median uMARS score was 3.9, IQR 0.7. Functionality was the domain with the highest rating (median 4.8, IQR 0.8), followed by aesthetics (median 4.0, IQR 0.7), information (median 3.5, IQR 0.8), and engagement (median 3.2, IQR 1.0). Subjective quality was average (median 3.0, IQR 1.0). The lowest scoring individual item was customization with a median of 2.5/5. Lower functionality scores were reported among older female rheumatic patients (P < 0.004). Older male rheumatic patients reported a higher subjective quality score (P < 0.024). Perceived disease activity and disease duration did not significantly correlate with any uMARS subdomain scores. eHealth literacy significantly correlated with functionality uMARS subdomain ratings (Rho = 0.18; P < 0.042). Preferred time of app usage significantly correlated with engagement (Rho = 0.20; P < 0.024), functionality (Rho = 0.19; P < 0.029), total uMARS score (Rho = 0.21; P < 0.017) and subjective quality score (Rho = 0.21; P < 0.017). The vast majority of rheumatic patients would consider recommending Rheuma Auszeit to other patients (117/126; 92.9%). Conclusion: Rheuma Auszeit was well-accepted by German patients suffering from rheumatoid arthritis, psoriatic arthritis and ankylosing spondyloarthritis. Lacking customization could lead to low app compliance and should be improved. Lower functionality scores among older female rheumatic patients highlight the need for patient education. The study underlines the potential and feasibility of therapeutic complementary digital solutions in rheumatology.en
dc.identifier.citationFrontiers in Medicine 8 (2021): 715345. <https://www.frontiersin.org/articles/10.3389/fmed.2021.715345/full>
dc.identifier.doihttps://doi.org/10.3389/fmed.2021.715345
dc.identifier.issn2296-858X
dc.identifier.opus-id16989
dc.identifier.urihttps://open.fau.de/handle/openfau/16989
dc.identifier.urnurn:nbn:de:bvb:29-opus4-169891
dc.language.isoen
dc.publisherFrontiers Media S.A.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.de
dc.subjectmobile applications (apps)
dc.subjectmobile app rating scale
dc.subjectrheumatology
dc.subjectend-users
dc.subjectmobile health
dc.subject.ddcDDC Classification::6 Technik, Medizin, angewandte Wissenschaften :: 61 Medizin und Gesundheit :: 610 Medizin und Gesundheit
dc.titleQuality of a Supporting Mobile App for Rheumatic Patients: Patient-Based Assessment Using the User Version of the Mobile Application Scale (uMARS)en
dc.typearticle
dcterms.publisherFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
local.date.prevpublished2021-07-22
local.document.articlenumber715345
local.journal.titleFrontiers in Medicine
local.journal.volume8
local.sendToDnbfree*
local.subject.fakultaetMedizinische Fakultät
local.subject.importimport
local.subject.sammlungUniversität Erlangen-Nürnberg / Eingespielte Open Access Artikel / Eingespielte Open Access Artikel 2021
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