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Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review

BACKGROUND: Developments and evolutions in the information and communication technology sector have provided a solid foundation for the emergence of mobile health (mHealth) in recent years. The cornerstone to management of gestational diabetes mellitus (GDM) is the self-management of glycemic indice...

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Autores principales: Smyth, Suzanne, Curtin, Eimear, Tully, Elizabeth, Molphy, Zara, Breathnach, Fionnuala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723973/
https://www.ncbi.nlm.nih.gov/pubmed/36409549
http://dx.doi.org/10.2196/38910
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author Smyth, Suzanne
Curtin, Eimear
Tully, Elizabeth
Molphy, Zara
Breathnach, Fionnuala
author_facet Smyth, Suzanne
Curtin, Eimear
Tully, Elizabeth
Molphy, Zara
Breathnach, Fionnuala
author_sort Smyth, Suzanne
collection PubMed
description BACKGROUND: Developments and evolutions in the information and communication technology sector have provided a solid foundation for the emergence of mobile health (mHealth) in recent years. The cornerstone to management of gestational diabetes mellitus (GDM) is the self-management of glycemic indices, dietary intake, and lifestyle adaptations. Given this, it is readily adaptable to incorporation of remote monitoring strategies involving mHealth solutions. OBJECTIVE: We sought to examine and assess the available smartphone apps which enable self-monitoring and remote surveillance of GDM with a particular emphasis on the generation of individualized patient feedback. METHODS: Five databases were searched systematically for any studies evaluating mHealth-supported smartphone solutions for GDM management from study inception until January 2022. The studies were screened and assessed for eligibility of inclusion by 2 independent reviewers. Ultimately, 17 studies were included involving 1871 patients across 11 different countries. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) conceptual framework was adhered to for data extraction and categorization purposes. RESULTS: All studies analyzed as part of this review facilitated direct uploading of data from the handheld glucometer to the downloaded patient-facing smartphone app. Glycemic data were captured by all studies and were reassuringly found to be either improved or noninferior to extant models of hospital-based care. Feedback was delivered in either an automated fashion through in-app communication from the health care team or facilitated through bidirectional communication with the app and hospital portal. Although resource utilization and cost-effective analyses were reported in some studies, the results were disparate and require more robust analysis. Where patient and staff satisfaction levels were evaluated, the response was overwhelmingly positive for mHealth smartphone–delivered care strategies. Emergency cesarean section rates were reduced; however, elective cesarean sections were comparatively increased among studies where the mode of delivery was assessed. Most reviewed studies did not identify any differences in maternal, perinatal, or neonatal health when app-based care was compared with usual in-person review. CONCLUSIONS: This comprehensive scoping review highlights the feasibility, reliability, and acceptability of app-assisted health care for the management of GDM. Although further exploration of the economic benefit is required prior to implementation in a real-world clinical setting, the prospect of smartphone-assisted health care for GDM is hugely promising
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spelling pubmed-97239732022-12-07 Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review Smyth, Suzanne Curtin, Eimear Tully, Elizabeth Molphy, Zara Breathnach, Fionnuala JMIR Diabetes Review BACKGROUND: Developments and evolutions in the information and communication technology sector have provided a solid foundation for the emergence of mobile health (mHealth) in recent years. The cornerstone to management of gestational diabetes mellitus (GDM) is the self-management of glycemic indices, dietary intake, and lifestyle adaptations. Given this, it is readily adaptable to incorporation of remote monitoring strategies involving mHealth solutions. OBJECTIVE: We sought to examine and assess the available smartphone apps which enable self-monitoring and remote surveillance of GDM with a particular emphasis on the generation of individualized patient feedback. METHODS: Five databases were searched systematically for any studies evaluating mHealth-supported smartphone solutions for GDM management from study inception until January 2022. The studies were screened and assessed for eligibility of inclusion by 2 independent reviewers. Ultimately, 17 studies were included involving 1871 patients across 11 different countries. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) conceptual framework was adhered to for data extraction and categorization purposes. RESULTS: All studies analyzed as part of this review facilitated direct uploading of data from the handheld glucometer to the downloaded patient-facing smartphone app. Glycemic data were captured by all studies and were reassuringly found to be either improved or noninferior to extant models of hospital-based care. Feedback was delivered in either an automated fashion through in-app communication from the health care team or facilitated through bidirectional communication with the app and hospital portal. Although resource utilization and cost-effective analyses were reported in some studies, the results were disparate and require more robust analysis. Where patient and staff satisfaction levels were evaluated, the response was overwhelmingly positive for mHealth smartphone–delivered care strategies. Emergency cesarean section rates were reduced; however, elective cesarean sections were comparatively increased among studies where the mode of delivery was assessed. Most reviewed studies did not identify any differences in maternal, perinatal, or neonatal health when app-based care was compared with usual in-person review. CONCLUSIONS: This comprehensive scoping review highlights the feasibility, reliability, and acceptability of app-assisted health care for the management of GDM. Although further exploration of the economic benefit is required prior to implementation in a real-world clinical setting, the prospect of smartphone-assisted health care for GDM is hugely promising JMIR Publications 2022-11-21 /pmc/articles/PMC9723973/ /pubmed/36409549 http://dx.doi.org/10.2196/38910 Text en ©Suzanne Smyth, Eimear Curtin, Elizabeth Tully, Zara Molphy, Fionnuala Breathnach. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 21.11.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on https://diabetes.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Smyth, Suzanne
Curtin, Eimear
Tully, Elizabeth
Molphy, Zara
Breathnach, Fionnuala
Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review
title Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review
title_full Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review
title_fullStr Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review
title_full_unstemmed Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review
title_short Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review
title_sort smartphone apps for surveillance of gestational diabetes: scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723973/
https://www.ncbi.nlm.nih.gov/pubmed/36409549
http://dx.doi.org/10.2196/38910
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