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dc.contributor.authorErsotelos, NT
dc.contributor.authorMargioris, AN
dc.contributor.authorZhang, X
dc.contributor.authorDong, F
dc.date.accessioned2019-10-07T10:53:50Z
dc.date.available2019-10-07T10:53:50Z
dc.date.issued2018-10-13
dc.identifier.citationErsotelos, N.T., Margioris, A.N., Zhang, X. et al. (2018) Review of mobile applications for optimizing the follow-up care of patients with diabetes, Hormones, 17: 541. https://doi.org/10.1007/s42000-018-0062-0en
dc.identifier.issn1109-3099en
dc.identifier.pmid30317460
dc.identifier.doi10.1007/s42000-018-0062-0en
dc.identifier.urihttp://hdl.handle.net/2436/622790
dc.description.abstract© 2018, The Author(s). Background: Several smartphone applications aim at facilitating communication between patients and healthcare providers. In this review, we evaluate and compare the most promising applications in the field of diabetes mellitus (DM) and obesity. Most applications monitor body weight, fasting or postprandial blood glucose, glycosylated hemoglobin (Hgb) A1c (HgbA1c), and units and types of insulin used. Methods: Nine clinically tested applications and two Web platforms were grouped into three categories that were evaluated and compared. Group 1 included seven applications focusing mainly on monitoring DM, fitness and weight, blood glucose levels, and HbA1c. Group 2 included two applications that focus on insulin dosage calculators and glucose self-monitoring tests. Group 3 included two web-platforms that interact with patients via SMS (short message service) messaging. Results: A common feature of the applications examined was the limited number of clinical parameters tested, the small number of subjects taking part in the evaluation, and the fact that the controls were not randomized. Furthermore, the interfaces of the applications varied and were not standardized. Finally, another common characteristic across applications was the lack of standardization of the interface and the overall structure due to language barriers, the devices usually having been designed around a specific language. Lastly, most applications lacked a critical mass of evaluators and were thus not worthy of being considered of serious clinical relevance. Conclusions: The current smartphone applications for DM are characterized by a limited number of participants, a small number of parameters, and a lack of standardization.en
dc.formatapplication/PDFen
dc.languageeng
dc.language.isoenen
dc.publisherSpringer Natureen
dc.rightsLicence for published version: Creative Commons Attribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHumansen
dc.subjectdiabetes mellitusen
dc.subjectObesityen
dc.subjectAftercareen
dc.subjectMobile Applicationsen
dc.subjectInsulinen
dc.titleReview of mobile applications for optimizing the follow-up care of patients with diabetesen
dc.typeJournal articleen
dc.identifier.eissn2520-8721
dc.identifier.journalHormonesen
dc.date.updated2019-09-25T08:29:14Z
dc.contributor.institutionSchool of Computer Science and Technology, University of Bedfordshire, University Square, Luton, Bedfordshire, LU1 3JU, UK. nikolaos.ersotelos@gmail.com.
pubs.place-of-publicationSwitzerland
dc.date.accepted2018-09-28
rioxxterms.funderEngineering and Physical Sciences Research Councilen
rioxxterms.identifier.projectEP/L023830/1en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2019-10-07en
dc.source.volume17
dc.source.issue4
dc.source.beginpage541
dc.source.endpage550
dc.description.versionPublished version
refterms.dateFCD2019-10-07T10:53:41Z
refterms.versionFCDVoR
refterms.dateFOA2019-10-07T10:53:51Z


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Licence for published version: Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Licence for published version: Creative Commons Attribution 4.0 International