Telemedical Approaches to Managing Gestational Diabetes Mellitus During COVID-19: Systematic Review

Gestational Diabetes Mellitus: Unveiling Maternal Health Dynamics from Pregnancy Through Postpartum Perspectives

Gestational Diabetes Mellitus (GDM) is the most frequent pregnancy-related medical issue and presents significant risks to both maternal and foetal health, requiring monitoring and management during pregnancy. The prevalence of GDM has surged globally in recent years, mirroring the rise in diabetes and obesity rates. Estimated to affect from 5% to 25% of pregnancies, GDM impacts approximately 21 million live births annually, according to the International Diabetes Federation (IDF). However, consensus on diagnostic approaches remains elusive, with varying recommendations from international organizations, which makes the comparison between research complicated. Compounding concerns are the short-term and long-term complications stemming from GDM for mothers and offspring. Maternal outcomes include heightened cardiovascular risks and a notable 70% risk of developing Type 2 Diabetes Mellitus (T2DM) within a decade postpartum. Despite this, research into the metabolic profiles associated with a previous GDM predisposing women to T2D remains limited. While genetic biomarkers have been identified, indicating the multifaceted nature of GDM involving hormonal changes, insulin resistance, and impaired insulin secretion, there remains a dearth of exploration into the enduring health implications for both mothers and their children. Furthermore, offspring born to mothers with GDM have been shown to face an increased risk of obesity and metabolic syndrome during childhood and adolescence, with studies indicating a heightened risk ranging from 20% to 50%. This comprehensive review aims to critically assess the current landscape of Gestational Diabetes Mellitus (GDM) research, focusing on its prevalence, diagnostic challenges, and health impacts on mothers and offspring. By examining state-of-the-art knowledge and identifying key knowledge gaps in the scientific literature, this review aims to highlight the multifaceted factors that have hindered a deeper understanding of GDM and its long-term consequences. Ultimately, this scholarly exploration seeks to promote further investigation into this critical area, improving health outcomes for mothers and their children.

The Impact of Telemedicine during the COVID-19 Pandemic on Diabetes Management and Pregnancy Outcomes in Women with Gestational Diabetes Mellitus (GDM)

Background/Objectives: Gestational diabetes mellitus (GDM) can lead to various complications for both the mother and the child. Many factors influence the onset of the disease including GDM in a previous pregnancy, overweight and obesity, as well as the increasing age of women who become pregnant. The aim of this study was to assess the impact of telemedicine during the COVID-19 pandemic on diabetes management and pregnancy outcomes in women with gestational diabetes mellitus (GDM). Methods: A retrospective analysis was conducted. We compared two groups of GDM women from the pandemic and pre-pandemic periods in terms of pregnancy course and obstetric outcomes. Results: It was observed that women with GDM in the pandemic group were significantly more often overweight and significantly less often obese before pregnancy than women in the pre-pandemic group. GDM was diagnosed significantly earlier but in later pregnancies in the pandemic group than in the pre-pandemic group. The course of pregnancy in both groups was similar and the percentage of pregnancies with the delivery of neonates > 4000 g did not differ significantly. The number of caesarean sections and spontaneous deliveries was also similar in both periods. No differences were found in anthropometric parameters in newborns and neonatal and maternal complications. Conclusions: The occurrence of the COVID-19 pandemic and the necessity of employing telemedicine tools in the medical care of women with GDM did not significantly impact diabetes management and the pregnancy outcomes achieved.

Navigating the waves: A systematic review of telemedicine interventions and health service access challenges in epilepsy during COVID-19

INTRODUCTION

The COVID-19 pandemic has dramatically reshaped the landscape of healthcare delivery, prompting a surge in the adoption of telemedicine as a means to ensure continuity of care. During the pandemic, patients with epilepsy experienced difficulties accessing healthcare and obtaining necessary medications, with a substantial percentage facing obstacles in acquiring anti-seizure medication and reaching healthcare professionals. Disruptions in the supply and distribution of medication, due to COVID-19-related actions, further caused more problems for people with epilepsy and their caregivers like increasing seizure frequency. The pandemic has also accelerated the adoption of telemedicine, with evidence suggesting its potential benefits in various medical fields. In this systematic review and meta-analysis, we aim to investigate the challenges faced by patients with epilepsy during the COVID-19 pandemic, including healthcare access and medication acquisition, as well as evaluate changes in seizure frequency. Additionally, we will synthesize existing evidence on the use of telemedicine to address the healthcare needs of these patients, exploring its advantages and limitations.

METHODS

This systematic review was prepared using PRISMA reporting guidelines. The databases searched were PubMed, Scopus, Web of Science, and Cochrane. Risk of Bias was assessed using Joanna Briggs Institute (JBI). Following rigorous application of eligibility criteria, relevant data, covering both telemedicine-related and health service access information, were methodically extracted and organized using Microsoft Excel spreadsheets. The analytical procedures were executed through the utilization of Comprehensive Meta-Analysis (CMA) software.

RESULTS

A total of 70 articles included in this review. Regarding difficulties in accessing healthcare, 34% of PWE and 41% of caregivers experienced cancelled, changed or postponed appointments. Following issues with obtaining medicine, 13% of patients and 16% of caregivers had difficulties in medicine availability and 11% of patients and 10% of caregivers in medicine accessibility. A very high rate of 90% satisfaction with telemedicine was reported by PWE. 17.6% of PWE experienced an escalation, 9% a decrease and 67% no changes in seizure frequency.

CONCLUSION

This review and meta-analysis revealed that telemedicine and virtual communications have been helpful but not sufficient for meeting healthcare needs for PWE during the COVID-19 pandemic. Additionally, there was a significant increase in seizure frequency among PWE who had difficulty obtaining medicine and access to healthcare.

Improving gestational diabetes care: Mobile glucose monitoring to reduce complications

BACKGROUND

Gestational diabetes mellitus (GDM) incurs risks for both mother and baby and requires close medical attention throughout pregnancy. This retrospective study examined the impact of myDiabby® software on GDM care and complications.

MATERIAL AND METHODS

The study population was divided between a pre-MyDiabby® group, with traditional monitoring before September 2017, and a myDiabby® group, using the myDiabby® app after September 2017. The aim was to compare the main complications of GDM and blood glucose control between the two groups, using Fisher's exact test or bilateral Student t-test as appropriate. Backward logistic regression was used to identify independent factors associated with glycemic control and caesarean section (C-section).

RESULTS

There were 622 pre-myDiabby® and 649 myDiabby® patients. The myDiabby® group showed significantly lower risk of C-section (17.2% vs. 11.3%, P=0.004). After adjustment for pre-pregnancy body mass index (BMI), maternal age, prematurity, macrosomia and eclampsia, telemedicine was independently associated with a lower rate of C-section (OR=0.67, 95% CI: 0.51-0.89, P=0.005). Glycemic control improved (66.6% vs. 85.4%, P<0.001), with only a trend for need of insulin treatment. MyDiabby® remained associated with glycemic control (OR=3.15, 95% CI: 2.87-4.33, P<0.001) independently of pre-pregnancy BMI, insulin treatment or personal history of GDM.

CONCLUSION

These findings highlight the potential benefits of using telemedicine tools in the management of GDM during pregnancy.

Changes in screening, diagnosis, management, and outcomes of gestational diabetes during the COVID-19 pandemic: A systematic review

Background

Gestational diabetes mellitus (GDM) is the most common medical complication of pregnancy, and it can lead to complications for the mother and the infant/fetus. This was especially evident during the COVID-19 pandemic. Therefore, the present systematic review aimed to describe the changes in screening, diagnosis, management, and outcomes of gestational diabetes during the COVID-19 pandemic.

Methods

The systematic review was conducted from December 2019 until January 1, 2022. To find articles related to the purpose of the study, PubMed, Scopus, Web of Science, and WHO were searched using relevant and validated keywords using MeSH/Emtree.

Results

In total, 675 entries were ascertained from the database inquiry, and 17 scholarly works were deemed suitable for inclusion in the final review. The salient conclusions derived from this review were as follows: (a) During the COVID-19 pandemic, there was a significant decrease in the use of OGTTs and a rise in the use of HbA1c assays for both GDM screening and diagnosing. (b) A predominant number of physicians incorporated some variation of telemedicine to remotely supervise and conduct follow-up evaluations of patients with GDM. Various strategies are presented for the provision of prenatal care to women afflicted with GDM, such as concentrating on high-risk demographics, the initiation of lifestyle modifications at early stages, and the implementation of remote patient monitoring techniques. The 'single test procedure' is identified as the most suitable for the preliminary screening of GDM. The OGTT should be assigned clinical precedence in patients at high risk during the ongoing COVID-19 pandemic. Additionally, Medical Nutrition Therapy (MNT) was established as the primary management strategy, and the most influential determinant of the transition from dietary adjustments to pharmacotherapy was the Fasting Blood Glucose (FBG) levels during the second trimester.

Conclusion

Suggested strategies for GDM screening and management during the pandemic integrated into routine antenatal care, emphasized the importance of remote diabetes education and technology utilization during health emergencies.

The impact of telehealth applications on pregnancy outcomes and costs in high-risk pregnancy: A systematic review and meta-analysis

INTRODUCTION

Telehealth is an applicable, acceptable, cost-effective, easily accessible, and speedy method for pregnant women. This study aimed to examine the impact of telehealth applications on pregnancy outcomes and costs in high-risk pregnancies.

METHODS

Studies were selected from PubMed, Science Direct, Web of Science, EBSCO, Scopus, and Clinical Key databases according to the inclusion and exclusion criteria from January to February 2021. Cochrane risk-of-bias tools were used in the quality assessment of the studies.

RESULTS

Four observational and eight randomized controlled studies were included in this meta-analysis (telehealth: 135,875, control: 94,275). It was seen that the number of ultrasound (p < 0.01) and face-to-face visits (p < 0.01), fasting insulin (p < 0.01), hemoglobin A1C before delivery (p < 0.01), and emergency cesarean section rates (p = 0.05) were lower in the telehealth group. In the telehealth group, the women's use of antenatal corticosteroids (p = 0.03) and hypoglycemic medication at delivery (p = 0.03), the total of nursing interventions (p < 0.01), compliance with actual blood glucose measurements (p < 0.01), induction intervention at delivery (p = 0.003), and maternal mortality (p < 0.001) rates were higher. Two groups were similar in terms of the use of medical therapy, total gestational weight gain, health problems related to pregnancy, mode and complications of delivery, maternal intensive care unit admission, fetal-neonatal growth and development, neonatal health problems and mortality, follow-up, and care costs.

DISCUSSION

Telehealth and routine care yielded similar maternal/neonatal health and cost outcomes. It can be said that telehealth is a safe technique to work with in the management of high-risk pregnancies.

Internet-Based Interventions for Preventing Premature Birth Among Pregnant Women: Systematic Review

BACKGROUND

Premature birth rates have slightly increased globally, making its prevention critical for both short-term and long-term health outcomes. Various interventions have been developed in response to the multifaceted risk factors for premature birth, including internet-based programs. These programs offer accessibility and enhanced engagement; however, their overall efficacy in preventing premature births requires thorough evaluation.

OBJECTIVE

This systematic review aims to identify the study designs and assess the effectiveness of internet-based interventions in preventing premature birth among pregnant women.

METHODS

A comprehensive search of the MEDLINE, Embase, CINAHL, and Cochrane Library databases was conducted to identify randomized trials and quasi-experimental studies evaluating internet-based interventions for premature birth prevention in pregnant women. The search was inclusive, with no restrictions based on language or geographical location, allowing for a comprehensive global perspective. The time frame for the inclusion of studies extended until February 2023. The risk of bias (RoB) in each study was independently assessed by 3 authors forming pairs, using the revised Cochrane RoB tool (RoB 2) for randomized trials, as per the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Owing to heterogeneity in populations, measurements, and interventions, a meta-analysis was not conducted.

RESULTS

This review included 26 articles, comprising 12 intention-to-treat and 14 per-protocol studies. The overall RoB was high in most intention-to-treat studies and of some concern in most per-protocol studies. The target populations varied, including nonspecific pregnant women, those with gestational diabetes mellitus (GDM) or those at risk of GDM, individuals with anxiety or depression, and those experiencing preterm labor. Psychosocial, physiological, and wellness health outcomes were evaluated. Internet-based interventions effectively reduced stress/distress in nonspecific pregnant women but not in those experiencing preterm labor. Their effectiveness in reducing anxiety and depression varied, with inconsistent results among different groups. In women with GDM or those at risk of GDM, interventions successfully controlled fasting plasma glucose and 2-hour postprandial plasma glucose levels but did not consistently manage glycated hemoglobin levels. These interventions did not reduce the incidence of premature births across the various populations studied. The effectiveness of these internet-based interventions in addressing substance or alcohol abuse and insomnia also varied.

CONCLUSIONS

Internet-based interventions show promise in improving psychosocial health and managing blood sugar to prevent premature birth, highlighting variability in effectiveness across different risk factors. Further research, including clinical trials, is vital for developing, evaluating, and disseminating effective, safe internet-based interventions. Establishing standardized measurement tools and rigorous evaluation processes is crucial for enhancing these interventions' effectiveness and reliability in clinical practice, significantly contributing to preventing premature births and improving maternal health outcomes.

TRIAL REGISTRATION

PROSPERO CRD42021278847; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021278847.

COVID-19, Pregnancy, and Diabetes Mellitus

During the severe acute respiratory distress virus coronavirus type 2 (SARS-CoV-2) pandemic, many women were infected during their pregnancies. The SARS-CoV-2-induced coronavirus disease 19 (COVID-19) has an impact on maternal health and pregnancy outcomes; peripartum and perinatal morbidity and mortality are increased. Pregnancy is considered a risk factor for severe COVID-19 course. Additional risk factors during pregnancy are diabetes mellitus, gestational diabetes mellitus (GDM), and obesity. Systemic inflammation can lead to severe metabolic dysregulation with ketoacidosis. The endocrine pancreas is a target organ for SARS-CoV-2 and the fetal risk depends on inflammation of the placenta. Up to now there is no evidence that SARS-CoV-2 infection during pregnancy leads to permanent diabetes in mothers or their offspring via triggering autoimmunity or beta cell destruction. The frequently observed increased prevalence of GDM compared to the years before the pandemic is most likely due to changed lifestyle during lockdown. Furthermore, severe COVID-19 may be associated with the development of GDM due to worsening of glucose tolerance. Vaccination with a mRNA vaccine is safe and highly effective to prevent infection and to reduce hospitalization. Registries support offering evidence-based recommendations on vaccination for pregnant women. Even with the current omicron virus variant, there are increased risks for symptomatic and unvaccinated pregnant women.

Effects of the COVID-19 pandemic on gestational diabetes in Castilla-La Mancha (Spain)

SUBJECT-MATTER

To assess the effect of the 2019 coronavirus (COVID-19) pandemic on gestational diabetes (GDM).

MATERIAL AND METHODS

In this retrospective, multicentre, non-interventional study carried out in Castilla-La Mancha, Spain, we compared 663 women with GDM exposed to the pandemic (pandemic group), with 622 women with GDM seen one year earlier (pre-pandemic group). The primary endpoint was a Large for Gestational Age (LGA) newborn as an indicator of poor GDM control. Secondary endpoints included obstetric and neonatal complications.

RESULTS

During the pandemic, the gestational week at diagnosis (24.2 ± 7.4 vs 22.9 ± 7.7, p = 0.0016) and first visit to Endocrinology (26.6 ± 7.2 vs 25.3 ± 7.6, p = 0.0014) were earlier. Face-to-face consultations were maintained in most cases (80.3%). The new diagnostic criteria for GDM were used in only 3% of cases. However, in the pandemic group, the final HbA1c was higher (5.2 ± 0.48 vs 5.29 ± 0.44%, p = 0.047) and there were more LGA newborns (8.5% vs 12.8%, p = 0.015). There were no differences in perinatal complications.

CONCLUSIONS

Care for GDM in our Public Health System did not significantly deteriorate during the COVID-19 pandemic. However, this did not prevent a higher number of LGA newborns.

Gestational diabetes mellitus and COVID-19: The epidemic during the pandemic

During the global coronavirus disease 2019 (COVID-19) pandemic, people worldwide have experienced an unprecedented rise in psychological distress and anxiety. In addition to this challenging situation, the prevalence of diabetes mellitus (DM), a hidden epidemic, has been steadily increasing in recent years. Lower-middle-income countries have faced significant barriers in providing accessible prenatal care and promoting a healthy diet for pregnant women, and the pandemic has made these challenges even more difficult to overcome. Pregnant women are at a higher risk of developing complications such as hyper-tension, preeclampsia, and gestational diabetes, all of which can have adverse implications for both maternal and fetal health. The occurrence of gestational diabetes has been on the rise, and it is possible that the pandemic has worsened its prevalence. Although data is limited, studies conducted in Italy and Canada suggest that the pandemic has had an impact on gestational diabetes rates, especially among women in their first trimester of pregnancy. The significant disruptions to daily routines caused by the pandemic, such as limited exercise options, indicate a possible link between COVID-19 and an increased likelihood of experiencing higher levels of weight gain during pregnancy. Notably, individuals in the United States with singleton pregnancies are at a significantly higher risk of excessive gestational weight gain, making this association particularly important to consider. Although comprehensive data is currently lacking, it is important for clinical researchers to explore the possibility of establishing correlations between the stress experienced during the pandemic, its consequences such as gestational gain weight, and the increasing incidence of gestational DM. This knowledge would contribute to better preventive measures and support for pregnant individuals during challenging times.

Web-Based Interventions for Pregnant Women With Gestational Diabetes Mellitus: Systematic Review and Meta-analysis

BACKGROUND

Effective management of gestational diabetes mellitus (GDM) is essential because it is one of the most prevalent diseases during pregnancy, and the consequent condition maternal hyperglycemia is closely related to considerable short- and long-term maternal and neonatal complications. Web-based interventions (WBIs), defined as therapeutic interventions offered via the web, have been implemented to assist in managing GDM owing to their advantages of high accessibility and efficiency, but findings across relevant studies are inconsistent.

OBJECTIVE

This systematic review and meta-analysis aimed to evaluate the effectiveness of WBIs on glycemic control among pregnant women with GDM; examine whether specific types of intervention interactivity, format, and technology have beneficial effects on maternal glycemic control; and comprehensively assess the efficacy of WBIs in maternal behavioral outcomes, cognitive and attitudinal outcomes, mental health, maternal and neonatal clinical outcomes, and medical service use and costs among pregnant women with GDM.

METHODS

PubMed, Embase, Cochrane Library, Web of Science, CINAHL, and PsycINFO were searched from their respective inception to November 19, 2022, to identify relevant randomized controlled trials and controlled clinical trials. The methodological quality of the included studies was assessed using the Effective Public Health Practice Project tool. Where possible, the data for all outcomes were meta-analyzed using the Stata software (version 12.0; StataCorp). Overall, 3 subgroup analyses and post hoc sensitivity analyses of maternal glycemic control parameters were performed.

RESULTS

Overall, 25 publications arising from 21 randomized controlled trials and controlled clinical trials were included. The overall meta-analyses on glycemic control parameters demonstrated that WBIs could significantly improve fasting blood glucose (standardized mean difference=-1.764, 95% CI -2.972 to -0.557; P=.004) and 2-hour postprandial blood glucose (standardized mean difference=-1.433, 95% CI -2.561 to -0.304; P=.01) compared with the control group, whereas no significant effect was found on glycated hemoglobin and 1-hour postprandial blood glucose. The results of the subgroup analyses indicated that mobile app-delivered interventions with a personalized format and interactive function showed more beneficial effects on maternal glycemic control. Moreover, WBIs could significantly enhance compliance with the self-monitoring of blood glucose; increase the rate of normal vaginal delivery; and decrease the chance of emergency cesarean, admission to the neonatal intensive care unit, and composite neonatal complications. GDM knowledge, risk perception of the disease, self-efficacy, satisfaction with care, and medical service use of the participants in the WBI group were also improved compared with the control group. However, the effectiveness of WBIs on other secondary outcomes was either nonsignificant or uncertain.

CONCLUSIONS

WBIs are a promising approach to GDM management. Personalized, interactive, and mobile app-delivered interventions seem more worthy of being recommended for future clinical practice. Further high-quality studies are required to verify these findings before making broad recommendations.

TRIAL REGISTRATION

PROSPERO CRD42022296625; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=296625.

Web-based interventions for pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis protocol

INTRODUCTION

Gestational diabetes mellitus (GDM) is one of the most prevalent diseases during pregnancy, which is closely associated with many short-term and long-term maternal and neonatal complications and can incur heavy financial burden on both families and society. Web-based interventions have been used to manage GDM because of the advantages of high accessibility and flexibility, but their effectiveness has remained inconclusive. This systematic review and meta-analysis aims to comprehensively investigate the multidimensional effectiveness of web-based interventions for pregnant women with GDM, thereby aiding implementation decisions in clinical settings.

METHODS AND ANALYSIS

This systematic review protocol strictly adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. Six electronic databases (PubMed, Web of Science, Cochrane Central Register of Controlled Trials, Embase, CINAHL and PsycINFO) will be comprehensively searched from their inception to 26 January 2022 to identify randomised controlled trials and controlled clinical trials regarding the efficacy of web-based interventions for pregnant women with GDM on glycaemic control, behavioural outcomes, cognitive and attitudinal outcomes, mental health, maternal and neonatal clinical outcomes, and medical service utilisation and costs. Two reviewers will independently conduct the study selection, data extraction and quality assessment. The methodological quality of included studies will be assessed using the Effective Public Health Practice Project assessment tool. The overall meta-analyses for each of the interested outcomes will be performed if the outcome data are sufficient and provides similar effect measures, as well as subgroup analyses for glycaemic control indicators based on the different types of intervention format, interactivity and technology. We will conduct a qualitative synthesis for studies that cannot be quantitatively synthesised.

ETHICS AND DISSEMINATION

Ethics approval is not required for this review as no human participants will be involved. The results will be disseminated via a peer-reviewed journal or an academic conference.

PROSPERO REGISTRATION NUMBER

CRD42022296625.

Internet-delivered psychological interventions for reducing depressive, anxiety symptoms and fear of childbirth in pregnant women: A meta-analysis and meta-regression

OBJECTIVE

The current review aims to (1) investigate the effectiveness of Internet-based psychological intervention in reducing depressive, anxiety, and stress symptoms and fear of childbirth among pregnant women at post-intervention and follow-up; (2) compare the effects of the intervention using different psychological principles; and (3) explore potential covariates on the intervention effect.

METHODS

A literature search of seven databases was carried out to identify published and unpublished randomized controlled trials (RCTs) in English without any time limitation up to February 2021. Meta-analysis and meta-regression were conducted using Comprehensive Meta-analysis software. This review protocol was registered on PROSPERO (CRD42021235565).

RESULTS

Sixteen RCTs involving 3894 pregnant women were included from more than 23 countries. Internet-delivered psychological interventions were found to significantly (p < 0.05) reduce depressive (g = -0.16 to -0.32) and anxiety (g = -0.22 to -0.33) symptoms with small effect sizes at post-intervention and follow-up during 6 to 8 weeks postpartum compared with those in the comparator group. However, there was insufficient evidence for fear of childbirth and stress symptoms. Our subgroup analyses found that psychological interventions adopting component of cognitive behavioral therapy (g = -0.29) or mindfulness therapy (g = -0.62) showed beneficial effects to improve depressive symptoms among pregnant women. Univariate random-effect regression analyses showed that the attrition rate was a significant covariate (Z = -2.33, p = 0.02) on depressive symptoms. The certainty of main outcomes was graded from low to very low in accordance with the GRADE criteria.

CONCLUSIONS

Our reviews suggested that Internet-delivered psychological intervention may complement usual antenatal care in the improvement of depressive and anxiety symptoms. Future trials involving a large-scale sample are needed to improve the methodological quality.