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Review of mobile applications for optimizing the follow-up care of patients with diabetes

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 postp...

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Detalles Bibliográficos
Autores principales: Ersotelos, Nikolaos Th., Margioris, Andrew N., Zhang, Xu, Dong, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294816/
https://www.ncbi.nlm.nih.gov/pubmed/30317460
http://dx.doi.org/10.1007/s42000-018-0062-0
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author Ersotelos, Nikolaos Th.
Margioris, Andrew N.
Zhang, Xu
Dong, Feng
author_facet Ersotelos, Nikolaos Th.
Margioris, Andrew N.
Zhang, Xu
Dong, Feng
author_sort Ersotelos, Nikolaos Th.
collection PubMed
description 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.
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spelling pubmed-62948162018-12-28 Review of mobile applications for optimizing the follow-up care of patients with diabetes Ersotelos, Nikolaos Th. Margioris, Andrew N. Zhang, Xu Dong, Feng Hormones (Athens) Original Article 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. Springer International Publishing 2018-10-13 2018 /pmc/articles/PMC6294816/ /pubmed/30317460 http://dx.doi.org/10.1007/s42000-018-0062-0 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Ersotelos, Nikolaos Th.
Margioris, Andrew N.
Zhang, Xu
Dong, Feng
Review of mobile applications for optimizing the follow-up care of patients with diabetes
title Review of mobile applications for optimizing the follow-up care of patients with diabetes
title_full Review of mobile applications for optimizing the follow-up care of patients with diabetes
title_fullStr Review of mobile applications for optimizing the follow-up care of patients with diabetes
title_full_unstemmed Review of mobile applications for optimizing the follow-up care of patients with diabetes
title_short Review of mobile applications for optimizing the follow-up care of patients with diabetes
title_sort review of mobile applications for optimizing the follow-up care of patients with diabetes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294816/
https://www.ncbi.nlm.nih.gov/pubmed/30317460
http://dx.doi.org/10.1007/s42000-018-0062-0
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