Cargando…
Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials
Good blood glucose control is important to reduce the risk of adverse effects on mothers and their offspring in women with gestational diabetes (GDM). This review examined the impact of using digital health interventions on reported glycaemic control among pregnant women with GDM and its impact on m...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931335/ https://www.ncbi.nlm.nih.gov/pubmed/36812531 http://dx.doi.org/10.1371/journal.pdig.0000015 |
_version_ | 1784889227084824576 |
---|---|
author | Leblalta, Boutheina Kebaili, Hanane Sim, Ruth Lee, Shaun Wen Huey |
author_facet | Leblalta, Boutheina Kebaili, Hanane Sim, Ruth Lee, Shaun Wen Huey |
author_sort | Leblalta, Boutheina |
collection | PubMed |
description | Good blood glucose control is important to reduce the risk of adverse effects on mothers and their offspring in women with gestational diabetes (GDM). This review examined the impact of using digital health interventions on reported glycaemic control among pregnant women with GDM and its impact on maternal and foetal outcomes. Seven databases were searched from database inception to October 31(st), 2021 for randomised controlled trials that examined digital health interventions to provide services remotely for women with GDM. Two authors independently screened and assessed the studies for eligibility for inclusion. Risk of bias was independently assessed using the Cochrane Collaboration’s tool. Studies were pooled using random effects model and presented as risk ratio or mean difference with 95% confidence intervals. Quality of evidence was assessed using GRADE framework. Twenty-eight randomised controlled trials that examined digital health interventions in 3,228 pregnant women with GDM were included. Moderate certainty of evidence showed that digital health interventions improved glycaemic control among pregnant women, with lower fasting plasma glucose (mean difference -0.33 mmol/L; 95% CI: -0.59 to -0.07), 2-hour post-prandial glucose (-0.49 mmol/L; -0.83 to -0.15) and HbA1c (-0.36%; -0.65 to -0.07). Among those randomised to digital health interventions, there was a lower need for caesarean delivery (Relative risk: 0.81; 0.69 to 0.95; high certainty) and foetal macrosomia (0.67; 0.48 to 0.95; high certainty). Other maternal and foetal outcomes were not significantly different between both groups. Moderate to high certainty evidence support the use of digital health interventions, as these appear to improve glycaemic control and reduce the need for caesarean delivery. However, more robust evidence is needed before it can be offered as a choice to supplement or replace clinic follow up. Systematic review registration: PROSPERO: CRD42016043009. |
format | Online Article Text |
id | pubmed-9931335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99313352023-02-16 Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials Leblalta, Boutheina Kebaili, Hanane Sim, Ruth Lee, Shaun Wen Huey PLOS Digit Health Research Article Good blood glucose control is important to reduce the risk of adverse effects on mothers and their offspring in women with gestational diabetes (GDM). This review examined the impact of using digital health interventions on reported glycaemic control among pregnant women with GDM and its impact on maternal and foetal outcomes. Seven databases were searched from database inception to October 31(st), 2021 for randomised controlled trials that examined digital health interventions to provide services remotely for women with GDM. Two authors independently screened and assessed the studies for eligibility for inclusion. Risk of bias was independently assessed using the Cochrane Collaboration’s tool. Studies were pooled using random effects model and presented as risk ratio or mean difference with 95% confidence intervals. Quality of evidence was assessed using GRADE framework. Twenty-eight randomised controlled trials that examined digital health interventions in 3,228 pregnant women with GDM were included. Moderate certainty of evidence showed that digital health interventions improved glycaemic control among pregnant women, with lower fasting plasma glucose (mean difference -0.33 mmol/L; 95% CI: -0.59 to -0.07), 2-hour post-prandial glucose (-0.49 mmol/L; -0.83 to -0.15) and HbA1c (-0.36%; -0.65 to -0.07). Among those randomised to digital health interventions, there was a lower need for caesarean delivery (Relative risk: 0.81; 0.69 to 0.95; high certainty) and foetal macrosomia (0.67; 0.48 to 0.95; high certainty). Other maternal and foetal outcomes were not significantly different between both groups. Moderate to high certainty evidence support the use of digital health interventions, as these appear to improve glycaemic control and reduce the need for caesarean delivery. However, more robust evidence is needed before it can be offered as a choice to supplement or replace clinic follow up. Systematic review registration: PROSPERO: CRD42016043009. Public Library of Science 2022-02-24 /pmc/articles/PMC9931335/ /pubmed/36812531 http://dx.doi.org/10.1371/journal.pdig.0000015 Text en © 2022 Leblalta et al 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 author and source are credited. |
spellingShingle | Research Article Leblalta, Boutheina Kebaili, Hanane Sim, Ruth Lee, Shaun Wen Huey Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials |
title | Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials |
title_full | Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials |
title_fullStr | Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials |
title_full_unstemmed | Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials |
title_short | Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials |
title_sort | digital health interventions for gestational diabetes mellitus: a systematic review and meta-analysis of randomised controlled trials |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931335/ https://www.ncbi.nlm.nih.gov/pubmed/36812531 http://dx.doi.org/10.1371/journal.pdig.0000015 |
work_keys_str_mv | AT leblaltaboutheina digitalhealthinterventionsforgestationaldiabetesmellitusasystematicreviewandmetaanalysisofrandomisedcontrolledtrials AT kebailihanane digitalhealthinterventionsforgestationaldiabetesmellitusasystematicreviewandmetaanalysisofrandomisedcontrolledtrials AT simruth digitalhealthinterventionsforgestationaldiabetesmellitusasystematicreviewandmetaanalysisofrandomisedcontrolledtrials AT leeshaunwenhuey digitalhealthinterventionsforgestationaldiabetesmellitusasystematicreviewandmetaanalysisofrandomisedcontrolledtrials |