Web-based telemedicine system is useful for monitoring glucose control in pregnant women with diabetes

Management of type 1 diabetes in pregnancy: update on lifestyle, pharmacological treatment, and novel technologies for achieving glycaemic targets

Glucose concentrations within target, appropriate gestational weight gain, adequate lifestyle, and, if necessary, antihypertensive treatment and low-dose aspirin reduces the risk of pre-eclampsia, preterm delivery, and other adverse pregnancy and neonatal outcomes in pregnancies complicated by type 1 diabetes. Despite the increasing use of diabetes technology (ie, continuous glucose monitoring and insulin pumps), the target of more than 70% time in range in pregnancy (TIRp 3·5-7·8 mmol/L) is often reached only in the final weeks of pregnancy, which is too late for beneficial effects on pregnancy outcomes. Hybrid closed-loop (HCL) insulin delivery systems are emerging as promising treatment options in pregnancy. In this Review, we discuss the latest evidence on pre-pregnancy care, management of diabetes-related complications, lifestyle recommendations, gestational weight gain, antihypertensive treatment, aspirin prophylaxis, and the use of novel technologies for achieving and maintaining glycaemic targets during pregnancy in women with type 1 diabetes. In addition, the importance of effective clinical and psychosocial support for pregnant women with type 1 diabetes is also highlighted. We also discuss the contemporary studies examining HCL systems in type 1 diabetes during pregnancies.

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.

An Evaluation of Virtual Care for Gestational Diabetes Using the Quadruple Aim Framework: Assessment of Patient and Provider Experience, Cost and Clinical Outcomes

OBJECTIVE

Our aim in this study was to evaluate the impact of virtual care for gestational diabetes mellitus (GDM) in the context of the COVID-19 pandemic.

METHODS

This multiple methods program evaluation used the Quadruple Aim Framework. The impact on patient experience, cost and provider satisfaction was assessed using surveys and interviews. Chi-square and Poisson statistics were used to compare clinical outcomes before (April 2019 to February 2020) and after (May 2020 to March 2021) the shift to virtual care.

RESULTS

Patient experience surveys were completed by 85 women. Most of them rated their virtual care experience as good or excellent (93%), with a preference for continued virtual visits in the future (84%). Most respondents felt virtual care saved them money (93%) and time (98%). Six health-care providers at the Diabetes in Pregnancy Clinic were interviewed and all believed the switch to virtual care was largely positive. Overall, interview transcripts revealed that health-care providers were happy with the transition, although nurses initially perceived an increased workload. There were no significant differences in rates of cesarean section procedures, macrosomia, neonatal intensive care unit admissions or the proportion of appointments at which insulin was initiated between in-person and virtual care patient outcomes. There was a decreased proportion of missed appointments after the switch to virtual care (6.15% vs 1.21%, p<0.0001).

CONCLUSIONS

There has been high patient and provider satisfaction with virtual GDM care, with no difference in clinical outcomes and fewer missed appointments. Virtual GDM care should remain an option in the future.

Telehealth Strategies for the Delivery of Maternal Health Care : A Rapid Review

BACKGROUND

Telehealth strategies to supplement or replace in-person maternity care may affect maternal health outcomes.

PURPOSE

To conduct a rapid review of the effectiveness and harms of telehealth strategies for maternal health care given the recent expansion of telehealth arising from the COVID-19 pandemic, and to produce an evidence map.

DATA SOURCES

Systematic searches of MEDLINE, the Cochrane Library, CINAHL, Embase, and Scopus for English-language studies (January 2015 to April 2022).

STUDY SELECTION

Randomized controlled trials (RCTs) and observational studies of maternal care telehealth strategies versus usual care.

DATA EXTRACTION

Dual data extraction and risk-of-bias assessment of studies, with disagreements resolved through consensus.

DATA SYNTHESIS

28 RCTs and 14 observational studies (n = 44 894) were included. Maternal telehealth interventions supplemented in-person care for most studies of mental health and diabetes during pregnancy, primarily resulting in similar, and sometimes better, clinical and patient-reported outcomes versus usual care. Supplementing in-person mental health care with phone- or web-based platforms or mobile applications resulted in similar or better mental health outcomes versus in-person care. A reduced-visit prenatal care schedule using telehealth to replace in-person general maternity care for low-risk pregnancies resulted in similar clinical outcomes and higher patient satisfaction versus usual care. Overall, telehealth strategies were heterogeneous and resulted in similar obstetric and patient satisfaction outcomes. Few studies addressed disparities, health equity, or harms.

LIMITATIONS

Interventions varied, and evidence was inadequate for some clinical outcomes.

CONCLUSION

Replacing or supplementing in-person maternal care with telehealth generally results in similar, and sometimes better, clinical outcomes and patient satisfaction compared with in-person care. The effect on access to care, health equity, and harms is unclear.

PRIMARY FUNDING SOURCE

Patient-Centered Outcomes Research Institute. (PROSPERO: CRD42021276347).

The Use of Digital Health Tools for Health Promotion Among Women With and Without Chronic Diseases: Insights From the 2017-2020 Health Information National Trends Survey

Background

In the United States, almost 90% of women are at risk of at least one chronic condition. However, the awareness, management, and monitoring of these conditions are low and present a substantial public health problem. Digital health tools can be leveraged to reduce the alarmingly high rates of chronic condition–related mortality and morbidity in women.

Objective

This study aimed to investigate the 4-year trend of digital health use for health promotion among women with chronic conditions in the United States.

Methods

Data for this study were obtained from the 2017 to 2020 iterations of the Health Information Trends Survey 5. Separate weighted logistic regression models were conducted to test the unadjusted and adjusted association of the study variables and each digital health use. The 95% CI, adjusted odds ratio (aOR), and P value (.05) were reported. Analysis was conducted using Stata 17 software.

Results

In total, 8573 women were included in this study. The weighted prevalence of the use of a smartphone or tablet for various activities were as follows: track health goals, 50.3% (95% CI 48.4%-52.2%; 3279/7122); make a health decision, 43.6% (95% CI 41.9%-45.3%; 2998/7101); and discuss with a provider, 40% (95% CI 38.2%-41.8%; 2834/7099). In the preceding 12 months, 33% (95% CI 30.9%-35.2%; 1395/4826) of women used an electronic wearable device, 18.7% (95% CI 17.3%-20.2%; 1532/7653) shared health information, and 35.2% (95% CI 33.2%-37.3%; 2262/6349) sent or received an SMS text message with a health professional. Between 2017 and 2020, the weighted prevalence of having 0, 1, and multiple chronic conditions were 37.4% (2718/8564), 33.4% (2776/8564), and 29.3% (3070/8564), respectively. However, slightly above half (52.2%, 95% CI 0.50%-0.53%; 4756/8564) of US women reported having at least one chronic disease. Women with multiple chronic conditions had higher odds of using their tablet or smartphone to achieve a health-related goal (aOR 1.43, 95% CI 1.16-1.77; P=.001) and discuss with their provider (aOR 1.55 95% CI 1.20-2.00; P=.001) than those without any chronic conditions. Correspondingly, in the past 12 months, the odds of using an electronic wearable device (aOR 1.40, 95% CI 1.00-1.96; P=.04), sharing health information (aOR 1.91, 95% CI 1.46-2.51; P<.001), and communicating via SMS text messaging with a provider (aOR 1.31, 95% CI 1.02-1.68; P=.03) were significantly higher among women with chronic conditions than those without a chronic condition.

Conclusions

This study suggests that women with chronic conditions accept and integrate digital health tools to manage their care. However, certain subpopulations experience a digital disconnect that may exacerbate existing health inequities. Implications for research and opportunities to leverage and integrate digital health tools to prevent, monitor, manage, and treat chronic conditions in women are discussed.

Cultural and Digital Health Literacy of App and Web Based Systems Designed for Pregnant Women with Gestational Diabetes Mellitus: A Scoping Review (Preprint)

Background

Objective

Methods

Results

Conclusions

Glycaemic control and novel technology management strategies in pregestational diabetes mellitus

INTRODUCTION

Pregestational diabetes (PGDM) is an increasingly common and complex condition that infers risk to both mother and infant. To prevent serious morbidity, strict glycaemic control is essential. The aim of this review is to review the glucose sensing and insulin delivering technologies currently available for women with PGDM.

METHODS

We reviewed online databases for articles relating to technology use in pregnancy using a combination of keywords and MeSH headings. Relevant articles are included below.

RESULTS

A number of technological advancements have improved care and outcomes for women with PGDM. Real time continuous glucose monitoring (rtCGM) offers clear advantages in terms of infants size and neonatal intensive care unit admissions; and further benefits are seen when combined with continuous subcutaneous insulin delivery (insulin pump) and algorithms which continuously adjust insulin levels to glucose targets (hybrid closed loop). Other advancements including flash or intermittent scanning CGM (isCGM) and stand-alone insulin pumps do not confer as many advantages for women and their infants, however they are increasingly used outside of pregnancy and many women enter pregnancy already using these devices.

DISCUSSION

This article offers a discussion of the most commonly used technologies in pregnancy and evaluates their current and future roles.

Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review

Advice on dietary intake is an essential first line intervention for the management of gestational diabetes mellitus (GDM). Digital tools such as web-based and smartphone apps have been suggested to provide a novel way of providing information on diet for optimal glucose regulation in women with GDM. This systematic review explores the effectiveness and usability of digital tools designed to support dietary self-management of GDM. A systematic search of Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, and Scopus using key search terms identified 1476 papers reporting research studies, of which 16 met the specified inclusion criteria. The quality of the included studies was assessed using the ErasmusAGE Quality Score or the Mixed Methods Appraisal Tool (MMAT) version 2018. The findings show that the adoption of digital tools may be an effective approach to support self-management relating to healthy diet, health behaviour, and adherence to therapy in women with GDM as a usable intervention. However, there is a lack of evidence concerning the effectiveness of tools to support the dietary management of GDM. Consideration for ethnic specific dietary advice and evidence-based frameworks in the development of effective digital tools for dietary management of GDM should be considered as these aspects have been limited in the studies reviewed.

Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study

Diabetes mellitus increases the risk of adverse maternal and fetal outcomes. Preconception care is vital to minimise complications; however, preconception care service provision is hindered by inadequate knowledge, resources and care fragmentation. Mobile health technology, particularly smartphone apps, could improve preconception care and pregnancy outcomes for women with diabetes. The aim of this study is to co-create a preconception and diabetes information app with healthcare professionals and women with diabetes and explore the feasibility, acceptability and preliminary effects of the app. A mixed-methods study design employing questionnaires and semi-structured interviews was used to assess preliminary outcome estimates (preconception care knowledge, attitudes and behaviours), and user acceptability. Data analysis included thematic analysis, descriptive statistics and non-parametric tests. Improvements were recorded in knowledge and attitudes to preconception care and patient activation measure following the 3-month app usage. Participants found the app acceptable (satisfaction rating was 72%), useful and informative. The app's usability and usefulness facilitated usage while manual data input and competing priorities were barriers which participants felt could be overcome via personalisation, automation and use of daily reminders. This is the first study to explore the acceptability and feasibility of a preconception and diabetes information app for women with diabetes. Triangulated data suggest that the app has potential to improve preconception care knowledge, attitudes and behaviours. However, in order for women with DM to realise the full potential of the app intervention, particularly improved maternal and fetal outcomes, further development and evaluation is required.

Telemedicine maybe an effective solution for management of chronic disease during the COVID-19 epidemic

Aim:

Based on the development of telemedicine and the experience of using it during the COVID-19 epidemic, we aimed to explore its convenience and shortcomings to provide a reference for the further improvement of telemedicine.

Background:

Traditional healthcare has been significantly affected by the outbreak of COVID-19, which has increased fear in patients with chronic diseases and increased the difficulty of obtaining hospitalized treatment.

Methods:

This is a conceptual article. The literature search is based on Pubmed, including articles published between January 2015 and December 2020. The purpose was to determine whether telemedicine is effective in the management of chronic diseases in the epidemic situation and to develop telemedicine and chronic disease management for long-term epidemic situations in the future.

Findings:

Telemedicine has demonstrated its advantages during the COVID-19 epidemic and can provide diversified clinical care services for patients with chronic diseases; these services have played a vital role in epidemic prevention and control, greatly alleviated the shortage of medical resources, increased the utilization level of medical resources, and reduced the cross-infection risk during treatment in hospitals. Furthermore, the epidemic situation presents opportunities for the development of diagnosis and treatment methods via the internet and active health management modalities.

Comparing the Efficacies of Telemedicine and Standard Prenatal Care on Blood Glucose Control in Women With Gestational Diabetes Mellitus: Randomized Controlled Trial

BACKGROUND

Gestational diabetes mellitus (GDM) can usually be well controlled by health education and lifestyle management, resulting in better pregnancy outcomes. However, standard clinical prenatal care, which consists of clinic visits every 2 weeks, may not provide sufficient management for women with GDM. Telemedicine demonstrates a potential to fill this gap.

OBJECTIVE

The objective of this study was to investigate whether health education and lifestyle management delivered through a WeChat group chat was more effective in controlling blood glucose (BG) than standard clinical prenatal care among women with GDM.

METHODS

In this multicenter randomized controlled trial, women with GDM diagnosed by an oral glucose tolerance test between 23 and 30 (+6) gestational weeks were randomized to a WeChat group chat-based BG management group or a routine clinical prenatal care group. The primary outcome was the change in the glycemic qualification rate during the follow-up period in both groups. The secondary outcomes were pregnancy outcomes.

RESULTS

A total of 309 women with GDM participated in the trial, with 162 women randomized to the control group and 147 to the intervention group. No significant differences in baseline characteristics were found between the control and intervention groups. Participants were further divided into 4 groups according to gestational weeks at enrollment for further analysis. The glycemic qualification rate of the intervention group was higher than that of the control group at nearly all time points in Groups 1 to 3, among which 3 time points reached statistical significance: Group 1 at T3 (54.8% vs 83.3%) and Group 2 at T3 (62.5% vs 80.0%) and T7 (75.0% vs 100%). The glycemic qualification rate gradually increased as gestational weeks progressed in both groups, regardless of the intervention method. None of the pregnancy outcomes measured, including delivery mode, premature rupture of the membranes, preterm birth, infant's birth weight, and postpartum hemorrhage, were significantly different between the control and intervention groups.

CONCLUSIONS

This multicenter randomized controlled trial that assessed women with noninsulin-dependent GDM demonstrated that additional instant messaging platforms, such as WeChat, used for health education and lifestyle intervention in China tend to be more effective for BG control than standard clinical prenatal care alone.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03748576; https://clinicaltrials.gov/ct2/show/NCT03748576.

Patient compliance and satisfaction using web-based glucose monitoring for the management of pregnant women with pregestational diabetes

BACKGROUND

Optimal glycemic control is vital in decreasing the risk of congenital birth defects and perinatal complications in women with diabetes. Although frequent blood glucose (BG) monitoring is essential during pregnancy, studies have highlighted poor compliance and falsification of glucose readings. We designed this study to assess whether a web-based glucose monitor improves compliance, glycemic control, and patient satisfaction.

METHODS

This was a prospective study of 30 women with pre-gestational diabetes. After 4 weeks of using paper logs, patients were given a web-based glucose monitor. The primary outcome of interest was the average number of BG readings prior to and during web-based implementation. Secondary outcomes included glycemic control and patient satisfaction as determined by a pre- and post-study survey.

RESULTS

The number of BG readings after 2 months using the web-based meter was similar to baseline. Hemoglobin A1c (HbA1c) significantly improved and there was a trend toward improved overall glycemic values. Survey results demonstrated satisfaction with the new system, although 20% of patients felt uncomfortable with glucose values being available to providers in real time.

CONCLUSIONS

Compliance with BG monitoring was similar when comparing a web-based system with written logs. Since other studies have highlighted that some glucose data from written logs are falsified, actual compliance using the web-based monitor may be improved. This study demonstrates potential patient concerns using a web-based system. Further studies should explore patient reactions to providers having real-time access to online glycemic data given our survey results.

Use of Virtual Care for Glycemic Management in People With Types 1 and 2 Diabetes and Diabetes in Pregnancy: A Rapid Review

Our objective in this study was to answer the main research question: In patients with diabetes, does virtual care vs face-to-face care provide different clinical, patient and practitioner experience or quality outcomes? Articles (2012 to 2020) describing interventions using virtual care with the capability for 2-way, individualized interactions compared with usual care were included. Studies involving any patients with diabetes and outcomes of glycated hemoglobin (A1C), quality of care and/or patient or health-care practitioner experience were included. Systematic reviews, randomized controlled studies, quasi-experimental trials, implementation trials, observational studies and qualitative analyses were reviewed. MEDLINE and McMaster Health Evidence databases searched in June 2020 identified 59 articles. Virtual care, in particular telemonitoring, combined with a means of 2-way communications provided improvement in A1C similar or superior to usual care, with the strongest evidence for type 2 diabetes. Virtual care was generally acceptable to patients, who expressed satisfaction with their care. Health-care providers recognized benefits but raised issues of technical support, workflow and compensation.

Self-management education among women with pre-existing diabetes in pregnancy: A scoping review

BACKGROUND

Education is a cornerstone of self-management for adults with diabetes. Self-management is particularly important during pregnancy for women with type 1 and type 2 diabetes, as perinatal outcomes are affected by maternal glycemic control. To our knowledge, literature describing the provision of diabetes education and support during pregnancy for women with type 1 and type 2 diabetes has not been synthesized, nor examined within its context as a complex intervention.

OBJECTIVES AND DESIGN

This scoping review aims to synthesize the evidence regarding prenatal diabetes education and support for women with type 1 and type 2 diabetes and to apply the Medical Research Council framework for complex interventions where appropriate.

DATA SOURCES AND METHODS

We searched EMBASE, CINAHL, and MEDLINE from inception to February 2019 for primary studies focused on prenatal diabetes education among women with type 1 and type 2 diabetes. Two independent reviewers screened eligible studies against inclusion criteria. A narrative synthesis of the included studies was conducted.

RESULTS

Of 511 identified citations, 30 studies were included in the final review. Approximately 44% of the pooled sample were women with type 1 diabetes, 46% had gestational diabetes mellitus, and 10% had type 2 diabetes. Education focused on self-monitoring of blood glucose, attaining glycemic targets, and following a healthy diet. Many studies included educational elements that went beyond traditional didactic teaching and promoted self-management skills and self-management support. The majority of education was delivered via one-on-one outpatient appointments every one to three weeks. About half of the reviewed studies used a multidisciplinary team approach, with most including a combination of physicians, nurses, dietitians, and midwives. Application of the Medical Research Council framework revealed that most studies were limited in methods (i.e., randomization) and few examined process evaluation or intervention cost-effectiveness.

CONCLUSION

We identified a lack of studies centred on educational interventions for women with type 2 diabetes in pregnancy. As pregnancy for women with type 2 diabetes involves significant changes, including the transition from oral hypoglycemics to insulin therapy, often without exposure to diabetes-specific preconception care and counselling, future research may focus on optimizing preconception and prenatal education and support for this high-risk group. This is particularly relevant as the prevalence of type 2 diabetes is increasing worldwide. Future research ought to also design, implement and evaluate interventions in accordance with the Medical Research Council framework for complex interventions.

Developing a core outcome set for the treatment of pregnant women with pregestational diabetes-a study protocol

BACKGROUND

Pregestational diabetes mellitus (PGDM) is associated with adverse pregnancy outcomes including increased rates of caesarean section birth, macrosomia, congenital malformation, prematurity, admission to the neonatal intensive care unit and stillbirth. As a result, there has been an increase in interventions to improve outcomes in both mother and infant. To date, meaningful comparisons between these studies are limited due to heterogeneity in outcome selection and reporting. The aim of this study is to develop a core outcome set (COS) for randomised controlled trials evaluating the effectiveness of interventions for the treatment of pregnant women with PGDM.

METHODS

The study consists of three steps. The first step is a systematic review of the literature to assess outcomes reported in randomised controlled trials assessing the effectiveness of interventions for the treatment of pregnant women with PGDM. The second step is a three round, online Delphi survey to prioritise these outcomes. In this step, stakeholders (including women with PGDM, healthcare workers, researchers and policymakers) will be asked to rank the importance of outcomes for inclusion in the COS using a 9-point Likert type scale. Outcomes that meet the inclusion criteria after completion of the Delphi surveys will be brought to the consensus meeting. The consensus meeting will be the third and final step, where the COS will be finalised. The consensus meeting will include members from each stakeholder group.

DISCUSSION

This paper describes the process used to develop a COS for the reporting of studies evaluating the effectiveness of interventions in pregnant women with PGDM. The COS will enable greater comparison between and information synthesis across RCTs in the treatment of PGDM. In addition, this COS will also help improve trial reporting and minimise research waste by prioritising the collection and reporting of outcomes that matter to all relevant stakeholder groups.

TRIAL REGISTRATION

This COS has been registered with the Core Outcome Measures in Effectiveness Trials (COMET) initiative ( http://www.comet-initiative.org/studies/details/1425 ) on the 4th of November 2019. The systematic review component of this study has also been registered with the International Prospective Register of Systematic Reviews (PROSPERO) ( https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020173549 ).

Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

Psoriasis is a common chronic inflammatory skin condition. It has a chronic course with multiple evolving relapses and patients require long-term treatment and follow-up. Teledermatology was introduced for diagnosis, treatment and follow-up of chronic diseases. Thus, we performed a systematic review for collecting the evidence regarding the efficacy of telemedicine in psoriasis management. Out of 287 records, we included seven studies (four of which were randomized controlled trials). We found that telemedicine alone or combined with usual care had the same or higher efficacy of psoriasis management compared to usual care or control group. We recommend further studies for assessing the pros and cons of this intervention which can replace conventional strategies especially in pandemic times.

Effectiveness of telemedicine for pregnant women with gestational diabetes mellitus: an updated meta-analysis of 32 randomized controlled trials with trial sequential analysis

Background

Gestational diabetes mellitus (GDM) is now a global health problem. Poor blood glucose control during pregnancy may lead to maternal and neonatal/foetal complications. Recently, the development of information and communication technology has resulted in new technical support for the clinical care of GDM. Telemedicine is defined as health services and medical activities provided by healthcare professionals through remote communication technologies. This study aimed to update the systematic review of the effectiveness of telemedicine interventions on glycaemic control and pregnancy outcomes in pregnant women with GDM.

Methods

We searched the Web of Science, PubMed, Scopus, Cochrane Central Register of Controlled Trials, Chinese National Knowledge Infrastructure, Wan-fang Database, China Biology Medicine and VIP Database for randomized controlled trials (RCTs) related to the effectiveness of telemedicine interventions for GDM from database inception to July 31st, 2019. Languages were limited to English and Chinese. Literature screening, data extraction and assessment of the risk of bias were completed independently by two reviewers. Meta-analysis and trial sequential analysis were conducted in Stata 14.0 and TSA v0.9.5.10 beta, respectively.

Results

A total of 32 RCTs were identified, with a total of 5108 patients. The meta-analysis showed that telemedicine group had significant improvements in controlling glycated haemoglobin (HbA1c) [mean difference (MD) = − 0.70, P < 0.01], fasting blood glucose (FBG) (MD = -0.52, P < 0.01) and 2-h postprandial blood glucose (2hBG) (MD = -1.03, P = 0.01) compared to the corresponding parameters in the standard care group. In the telemedicine group, lower incidences of caesarean section [relative risk (RR) = 0.82, P = 0.02], neonatal hypoglycaemia (RR = 0.67, P < 0.01), premature rupture of membranes (RR = 0.61, P < 0.01), macrosomia (RR = 0.49, P < 0.01), pregnancy-induced hypertension or preeclampsia (RR = 0.48, P < 0.01), preterm birth (RR = 0.27, P < 0.01), neonatal asphyxia (RR = 0.17, P < 0.01), and polyhydramnios (RR = 0.16, P < 0.01) were found. The trial sequential analyses conclusively demonstrated that the meta-analytic results of the change in HbA1c, the change in 2hBG, the change in FBG, the incidence rates of caesarean section, pregnancy-induced hypertension or preeclampsia, premature rupture of membranes, premature birth, neonatal asphyxia, and polyhydramnios were stable.

Conclusions

Compared to standard care, telemedicine interventions can decrease the glycaemic levels of patients with GDM more effectively and reduce the risk of maternal and neonatal/foetal complications.

Demonstrated Cost-Effectiveness of a Telehomecare Program for Gestational Diabetes Mellitus Management

Background: Prevalence of gestational diabetes mellitus (GDM) has increased steadily in recent years. Pregnant women with GDM are at risk for obstetrical and neonatal complications and require close multidisciplinary follow-up, which implies a significant use of hospital resources. Methods: A prospective noninferiority and controlled clinical trial was designed. The telehomecare (THCa) initiative is a clinical remote patient management project in women with GDM. The main objective was to evaluate the cost-effectiveness of THCa by assessing the direct costs, including the related reduction in medical visits. Secondary outcomes were to evaluate the impact of THCa on diabetes control, GDM-related complications, and patient satisfaction. Results: A total of 161 women were assigned to either an intervention group provided with a THCa system for transmission and online analysis of capillary glucose data (n = 80) or a control group receiving usual care in the clinic (n = 81). A decrease in medical visits by 56% (P < 0.001) in the THCa group was observed. There was no difference between the two groups in diabetes control or maternal and fetal complications. However, results showed a 10-fold increase in nursing interventions in THCa group (mainly by phone calls and e-mails). Satisfaction with care was high. Direct cost analysis revealed savings of 16% in patients followed by THCa compared with the control group. Conclusion: THCa monitoring significantly decreases medical visits and direct costs in GDM women without compromising pregnancy outcomes, quality of care, or patient satisfaction. THCa was shown to be cost-effective despite placing an additional burden on nursing time.

Web and mobile-based technologies for monitoring high-risk pregnancies

Introduction

High-risk pregnancy is an illness in which there are severe complications and problems that may cause fetal loss and requires continuous care. It seems that using telemedicine technology is helpful to provide wider access to prenatal care. The aim of this study was to compare the feasibility of using web-based and mobile-based technologies in caring for high-risk pregnancy.

Materials and methods

This was a cross-sectional study and the participants included midwives and gynaecologists who worked at teaching hospitals. The data were collected by using two five-point Likert scale questionnaires which were designed based on the literature review. The questionnaires included two main sections: demographic questions and questions related to five aspects of a feasibility study. Face and content validity of the questionnaires were confirmed by the experts and the reliability was checked by using the test-retest method. The data were analysed using descriptive and inferential statistics.

Results

In this study, 79 questionnaires were completed by 50 midwives (63.29%) and 29 gynaecologists (36.71%). Overall, midwives (p=0.001) and gynaecologists (p=0.003) believed that using mobile-based technologies was more feasible than using web-based technologies in caring for high-risk pregnancies.

Conclusion

It seems that planning for the future technological direction and providing mobile-based applications should be taken into account and prioritised to improve the quality of prenatal care and to increase access to healthcare services for high-risk pregnancies.

Being 'A Google Mom' or securely monitored at home: Perceptions of remote monitoring in maternity care

AIMS

To understand the perspectives of both healthcare professionals in maternity care and pregnant women with higher risk pregnancies about remote monitoring in maternity care.

DESIGN

Qualitative descriptive design.

METHODS

Individual and focus group interviews were conducted in public maternity care and in a level III hospital in Finland during April-May 2018. The sample consisted of healthcare professionals working in the primary care and at the hospital and hospitalized pregnant women. Altogether, 17 healthcare professionals and 4 pregnant women participated in the study. The data were analysed using inductive thematic network analysis.

RESULTS

Many possibilities - and an equal number of concerns - were identified regarding remote monitoring in pregnancy, depending on the respondent's viewpoint from holistic to symptom-centred care. Healthcare staff had reservations about technology due to previous negative experiences and difficulties trusting technology. The pregnant women thought that monitoring would ease the staff's workload if the latter had enough technological skills. Remote monitoring could increase security in pregnancy care but create a feeling of false security if the women ignored their subjective symptoms. Face-to-face visits and the uniqueness of human contact were strongly favoured. Pregnant women wished to use monitoring as a confirmation of their subjective feelings.

CONCLUSION

Remote monitoring could be used as a supplementary system in pregnancy care, although it could replace only some healthcare visits. Pregnant women identified more possibilities for remote monitoring compared with the staff members both in primary care and the hospital.

IMPACT

A comprehensive understanding of pregnant women's and healthcare professionals' perceptions of remote monitoring in pregnancy was built to be able to develop new technologies in maternity care. In certain cases, remote monitoring would supplement traditional pregnancy follow-ups. Staff in primary and specialized care, and healthcare managers, should support teamwork to be able to understand different approaches to pregnancy care.

Service evaluation of diabetes management during pregnancy in a regional maternity hospital: potential scope for increased self-management and remote patient monitoring through mHealth solutions

BACKGROUND

Pre-gestational and gestational diabetes mellitus are common complications in pregnancy affecting one in six pregnancies. The maternity services are under significant strain managing the increasing number of complex pregnancies. This has an impact on patients' experience of antenatal care. Therefore, there is a clear need to address pregnancy care. One possible solution is to use home-based digital technology to reduce clinic visits and improve clinical monitoring.

METHODS

The aim of this study was to evaluate the antenatal services provided to pregnant women with diabetes who were monitored at the joint metabolic and obstetric clinic at the Southern Health and Social Care Trust in Northern Ireland.

RESULTS

The questionnaires were completed by sixty-three women, most of whom had gestational diabetes mellitus. Most of the participants were between 25 and 35 years of age (69.8%), had one or more children (65.1%) and spent over 2 h attending the clinics (63.9%); 78% of women indicated that their travel time to and from the clinic appointment was over 15 min. Over 70% of women used smartphones for health-related purposes. However, only 8.8% used smartphones to manage their health or diabetes. Less than 25% of the women surveyed expressed concerns about using digital technology from home to monitor various aspects of their health in pregnancy.

CONCLUSIONS

Overall, pregnant women who had or developed diabetes in pregnancy experience frequent hospital visits and long waiting times in the maternity clinics. Most of these pregnant women are willing to self-manage their condition from home and to be monitored remotely by the healthcare staff.

eHealth as the Next-Generation Perinatal Care: An Overview of the Literature

Background

Unrestricted by time and place, electronic health (eHealth) provides solutions for patient empowerment and value-based health care. Women in the reproductive age are particularly frequent users of internet, social media, and smartphone apps. Therefore, the pregnant patient seems to be a prime candidate for eHealth-supported health care with telemedicine for fetal and maternal conditions.

Objective

This study aims to review the current literature on eHealth developments in pregnancy to assess this new generation of perinatal care.

Methods

We conducted a systematic literature search of studies on eHealth technology in perinatal care in PubMed and EMBASE in June 2017. Studies reporting the use of eHealth during prenatal, perinatal, and postnatal care were included. Given the heterogeneity in study methods, used technologies, and outcome measurements, results were analyzed and presented in a narrative overview of the literature.

Results

The literature search provided 71 studies of interest. These studies were categorized in 6 domains: information and eHealth use, lifestyle (gestational weight gain, exercise, and smoking cessation), gestational diabetes, mental health, low- and middle-income countries, and telemonitoring and teleconsulting. Most studies in gestational diabetes and mental health show that eHealth applications are good alternatives to standard practice. Examples are interactive blood glucose management with remote care using smartphones, telephone screening for postnatal depression, and Web-based cognitive behavioral therapy. Apps and exercise programs show a direction toward less gestational weight gain, increase in step count, and increase in smoking abstinence. Multiple studies describe novel systems to enable home fetal monitoring with cardiotocography and uterine activity. However, only few studies assess outcomes in terms of fetal monitoring safety and efficacy in high-risk pregnancy. Patients and clinicians report good overall satisfaction with new strategies that enable the shift from hospital-centered to patient-centered care.

Conclusions

This review showed that eHealth interventions have a very broad, multilevel field of application focused on perinatal care in all its aspects. Most of the reviewed 71 articles were published after 2013, suggesting this novel type of care is an important topic of clinical and scientific relevance. Despite the promising preliminary results as presented, we accentuate the need for evidence for health outcomes, patient satisfaction, and the impact on costs of the possibilities of eHealth interventions in perinatal care. In general, the combination of increased patient empowerment and home pregnancy care could lead to more satisfaction and efficiency. Despite the challenges of privacy, liability, and costs, eHealth is very likely to disperse globally in the next decade, and it has the potential to deliver a revolution in perinatal care.

The Usability and Effectiveness of Mobile Health Technology-Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review

Background

A growing number of mobile health (mHealth) technology–based apps are being developed for personal lifestyle and medical health care support, of which several apps are related to pregnancy. Evidence on usability and effectiveness is limited but crucial for successful implementation.

Objective

This study aimed to evaluate the usability, that is, feasibility and acceptability, as well as effectiveness of mHealth lifestyle and medical apps to support health care during pregnancy in high-income countries. Feasibility was defined as the actual use, interest, intention, and continued use; perceived suitability; and ability of users to carry out the activities of the app. Acceptability was assessed by user satisfaction, appreciation, and the recommendation of the app to others.

Methods

We performed a systematic review searching the following electronic databases for studies on mHealth technology–based apps in maternal health care in developed countries: EMBASE, MEDLINE Epub (Ovid), Cochrane Library, Web of Science, and Google Scholar. All included studies were scored on quality, using the ErasmusAGE Quality Score or the consolidated criteria for reporting qualitative research. Main outcome measures were usability and effectiveness of mHealth lifestyle and medical health care support apps related to pregnancy. All studies were screened by 2 reviewers individually, and the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were followed.

Results

Our search identified 4204 titles and abstracts, of which 2487 original studies remained after removing duplicates. We performed full-text screening of 217 studies, of which 29 were included in our study. In total, 19 out of 29 studies reported on mHealth apps to adopt healthy lifestyles and 10 out of 29 studies to support medical care. The lifestyle apps evaluated in 19 studies reported on usability and effectiveness: 10 studies reported positive on acceptability, and 14 studies reported on feasibility with positive results except one study. In total, 4 out of 19 studies evaluating effectiveness showed significant results on weight gain restriction during pregnancy, intake of vegetables and fruits, and smoking cessation. The 10 studies on medical mHealth apps involved asthma care, diabetic treatment, and encouraging vaccination. Only one study on diabetic treatment reported on acceptability with a positive user satisfaction. In total, 9 out of 10 studies reported on effectiveness. Moreover, the power of most studies was inadequate to show significant effects.

Conclusions

Most studies on mHealth apps to support lifestyle and medical care for high-income countries reveal the usability of these apps to reduce gestational weight gain, increase intakes of vegetables and fruit, to quit smoking cessation, and to support health care for prevention of asthma and infections during pregnancy. In general, the evidence on effectiveness of these apps is limited and needs further investigation before implementation in medical health care.

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

Background

Treatment of hyperglycemia in women with gestational diabetes mellitus (GDM) is associated with improved maternal and neonatal outcomes and requires intensive clinical input. This is currently achieved by hospital clinic attendance every 2 to 4 weeks with limited opportunity for intervention between these visits.

Objective

We conducted a randomized controlled trial to determine whether the use of a mobile phone-based real-time blood glucose management system to manage women with GDM remotely was as effective in controlling blood glucose as standard care through clinic attendance.

Methods

Women with an abnormal oral glucose tolerance test before 34 completed weeks of gestation were individually randomized to a mobile phone-based blood glucose management solution (GDm-health, the intervention) or routine clinic care. The primary outcome was change in mean blood glucose in each group from recruitment to delivery, calculated with adjustments made for number of blood glucose measurements, proportion of preprandial and postprandial readings, baseline characteristics, and length of time in the study.

Results

A total of 203 women were randomized. Blood glucose data were available for 98 intervention and 85 control women. There was no significant difference in rate of change of blood glucose (–0.16 mmol/L in the intervention and –0.14 mmol/L in the control group per 28 days, P=.78). Women using the intervention had higher satisfaction with care (P=.049). Preterm birth was less common in the intervention group (5/101, 5.0% vs 13/102, 12.7%; OR 0.36, 95% CI 0.12-1.01). There were fewer cesarean deliveries compared with vaginal deliveries in the intervention group (27/101, 26.7% vs 47/102, 46.1%, P=.005). Other glycemic, maternal, and neonatal outcomes were similar in both groups. The median time from recruitment to delivery was similar (intervention: 54 days; control: 49 days; P=.23). However, there were significantly more blood glucose readings in the intervention group (mean 3.80 [SD 1.80] and mean 2.63 [SD 1.71] readings per day in the intervention and control groups, respectively; P<.001). There was no significant difference in direct health care costs between the two groups, with a mean cost difference of the intervention group compared to control of –£1044 (95% CI –£2186 to £99). There were no unexpected adverse outcomes.

Conclusions

Remote blood glucocse monitoring in women with GDM is safe. We demonstrated superior data capture using GDm-health. Although glycemic control and maternal and neonatal outcomes were similar, women preferred this model of care. Further studies are required to explore whether digital health solutions can promote desired self-management lifestyle behaviors and dietetic adherence, and influence maternal and neonatal outcomes. Digital blood glucose monitoring may provide a scalable, practical method to address the growing burden of GDM around the world.

Trial Registration

ClinicalTrials.gov NCT01916694; https://clinicaltrials.gov/ct2/show/NCT01916694 (Archived by WebCite at http://www.webcitation.org/6y3lh2BOQ)

The Effectiveness of eHealth Technologies on Weight Management in Pregnant and Postpartum Women: Systematic Review and Meta-Analysis

BACKGROUND

The emergence and utilization of electronic health (eHealth) technologies has increased in a variety of health interventions. Exploiting the real-time advantages offered by mobile technologies during and after pregnancy has the potential to empower women and encourage behaviors that may improve maternal and child health.

OBJECTIVE

The objective of this study was to assess the effectiveness of eHealth technologies for weight management during pregnancy and the postpartum period and to review the efficacy of eHealth technologies on health behaviors, specifically nutrition and physical activity.

METHODS

A systematic search was conducted of the following databases: MEDLINE, EMBASE, Cochrane database of systematic reviews (CDSR), Cochrane central register of controlled trials (CENTRAL), CINAHL (Cumulative Index to Nursing and Allied Health Literature), and PsycINFO. The search included studies published from 1990 to July 5, 2016. All relevant primary studies that involved randomized controlled trials (RCTs), non-RCTs, before-and-after studies, historically controlled studies, and pilot studies were included. The study population was adult women of childbearing age either during pregnancy or the postpartum period. eHealth weight management intervention studies targeting physical activity, nutrition, or both, over a minimum 3-month period were included. Titles and abstracts, as well as full-text screening were conducted. Study quality was assessed using Cochrane's risk of bias tool. Data extraction was completed by a single reviewer, which was then verified by a second independent reviewer. Results were meta-analyzed to calculate pooled estimates of the effect, wherever possible.

RESULTS

Overall, 1787 and 176 citations were reviewed at the abstract and full-text screening stages, respectively. A total of 10 studies met the inclusion criteria ranging from high to low risk of bias. Pooled estimates from studies of the effect for postpartum women resulted in a significant reduction in weight (-2.55 kg, 95% CI -3.81 to -1.28) after 3 to 12 months and six studies found a nonsignificant reduction in weight gain for pregnant women (-1.62 kg, 95% CI -3.57 to 0.33) at approximately 40 weeks.

CONCLUSIONS

This review found evidence for benefits of eHealth technologies on weight management in postpartum women only. Further research is still needed regarding the use of these technologies during and after pregnancy.

Barriers and Facilitators for the Use of a Medical Mobile App to Prevent Work-Related Risks in Pregnancy: A Qualitative Analysis

Background

The number of women participating in the labor market in Europe has increased over the last several decades. At the same time, there is growing evidence that certain conditions of employment during pregnancy may have a negative influence on pregnancy outcomes. In order to better inform pregnant women, we aim to develop an app to help assess the health risk as a result of personal and work-related factors and provide personal advice for these women and their health care providers.

Objective

The aim of this study was to compose a thematic overview of the perceived facilitators and barriers according to pregnant women, medical professionals, and employers for the use of a mobile app in obstetrical care to prevent occupational-related pregnancy complications.

Methods

Two multidisciplinary focus group meetings with in total 14 participants were conducted with pregnant women, occupational physicians, general practitioners, midwives, obstetricians, and representatives of trade unions and employer organizations. Transcripts were analyzed by qualitatively coding procedures and constant comparative methods.

Results

We identified 24 potential facilitators and 12 potential barriers for the use of the app in 4 categories: content of the app, the app as a mean to provide information, ease of use, and external factors. The 3 main facilitators identified were the need for a good interaction between the app and the user, apps were viewed as a more practical source of information, and the information should be understandable, according to the existing guidelines, and well-dosed. The 2 main barriers for use were extensive battery and memory use of the smartphone and sending frequent push notifications.

Conclusions

The results of this study are important considerations in the developing process of a medical app implementing a guideline or evidence-based information in practice.

A web-based clinical decision support system for gestational diabetes: Automatic diet prescription and detection of insulin needs

BACKGROUND

The growth of diabetes prevalence is causing an increasing demand in health care services which affects the clinicians' workload as medical resources do not grow at the same rate as the diabetic population. Decision support tools can help clinicians with the inspection of monitoring data, providing a preliminary analysis to ease their interpretation and reduce the evaluation time per patient. This paper presents Sinedie, a clinical decision support system designed to manage the treatment of patients with gestational diabetes. Sinedie aims to improve access to specialized healthcare assistance, to prevent patients from unnecessary displacements, to reduce the evaluation time per patient and to avoid gestational diabetes adverse outcomes.

METHODS

A web-based telemedicine platform was designed to remotely evaluate patients allowing them to upload their glycaemia data at home directly from their glucose meter, as well as report other monitoring variables like ketonuria and compliance to dietary treatment. Glycaemia values, not tagged by patients, are automatically labelled with their associated meal by a classifier based on the Expectation Maximization clustering algorithm and a C4.5 decision tree learning algorithm. Two finite automata are combined to determine the patient's metabolic condition, which is analysed by a rule-based knowledge base to generate therapy adjustment recommendations. Diet recommendations are automatically prescribed and notified to the patients, whereas recommendations about insulin requirements are notified also to the physicians, who will decide if insulin needs to be prescribed. The system provides clinicians with a view where patients are prioritized according to their metabolic condition. A randomized controlled clinical trial was designed to evaluate the effectiveness and safety of Sinedie interventions versus standard care and its impact in the professionals' workload in terms of the clinician's time required per patient; number of face-to-face visits; frequency and duration of telematics reviews; patients' compliance to self-monitoring; and patients' satisfaction.

RESULTS

Sinedie was clinically evaluated at "Parc Tauli University Hospital" in Spain during 17 months with the participation of 90 patients with gestational diabetes. Sinedie detected all situations that required a therapy adjustment and all the generated recommendations were safe. The time devoted by clinicians to patients' evaluation was reduced by 27.389% and face-to-face visits per patient were reduced by 88.556%. Patients reported to be highly satisfied with the system, considering it useful and trusting in being well controlled. There was no monitoring loss and, in average, patients measured their glycaemia 3.890 times per day and sent their monitoring data every 3.477days.

CONCLUSIONS

Sinedie generates safe advice about therapy adjustments, reduces the clinicians' workload and helps physicians to identify which patients need a more urgent or more exhaustive examination and those who present good metabolic control. Additionally, Sinedie saves patients unnecessary displacements which contributes to medical centres' waiting list reduction.

US and territory telemedicine policies: identifying gaps in perinatal care

BACKGROUND

Perinatal regionalization is a system of maternal and neonatal risk-appropriate health care delivery in which resources are ideally allocated for mothers and newborns during pregnancy, labor and delivery, and postpartum, in order to deliver appropriate care. Typically, perinatal risk-appropriate care is provided in-person, but with the advancement of technologies, the opportunity to provide care remotely has emerged. Telemedicine provides distance-based care to patients by consultation, diagnosis, and treatment in rural or remote US jurisdictions (states and territories).

OBJECTIVE

We sought to summarize the telemedicine policies of states and territories and assess if maternal and neonatal risk-appropriate care is specified.

STUDY DESIGN

We conducted a 2014 systematic World Wide Web-based review of publicly available rules, statutes, regulations, laws, planning documents, and program descriptions among US jurisdictions (N = 59) on telemedicine care. Policies including language on the topics of consultation, diagnosis, or treatment, and those specific to maternal and neonatal risk-appropriate care were categorized for analysis.

RESULTS

Overall, 36 jurisdictions (32 states; 3 territories; and District of Columbia) (61%) had telemedicine policies with language referencing consultation, diagnosis, or treatment; 29 (49%) referenced consultation, 30 (51%) referenced diagnosis, and 35 (59%) referenced treatment. In all, 26 jurisdictions (22 states; 3 territories; and District of Columbia) (44%), referenced all topics. Only 3 jurisdictions (3 states; 0 territories) (5%), had policy language specifically addressing perinatal care.

CONCLUSION

The majority of states have published telemedicine policies, but few specify policy language for perinatal risk-appropriate care. By ensuring that language specific to the perinatal population is included in telemedicine policies, access to maternal and neonatal care can be increased in rural, remote, and resource-challenged jurisdictions.

Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis

Background

Diabetes in pregnancy is a global problem. Technological innovations present exciting opportunities for novel approaches to improve clinical care delivery for gestational and other forms of diabetes in pregnancy.

Objective

To perform an updated and comprehensive systematic review and meta-analysis of the literature to determine whether telemedicine solutions offer any advantages compared with the standard care for women with diabetes in pregnancy.

Methods

The review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Randomized controlled trials (RCT) in women with diabetes in pregnancy that compared telemedicine blood glucose monitoring with the standard care were identified. Searches were performed in SCOPUS and PubMed, limited to English language publications between January 2000 and January 2016. Trials that met the eligibility criteria were scored for risk of bias using the Cochrane Collaborations Risk of Bias Tool. A meta-analysis was performed using Review Manager software version 5.3 (Nordic Cochrane Centre, Cochrane Collaboration).

Results

A total of 7 trials were identified. Meta-analysis demonstrated a modest but statistically significant improvement in HbA1c associated with the use of a telemedicine technology. The mean HbA1c of women using telemedicine was 5.33% (SD 0.70) compared with 5.45% (SD 0.58) in the standard care group, representing a mean difference of −0.12% (95% CI −0.23% to −0.02%). When this comparison was limited to women with gestational diabetes mellitus (GDM) only, the mean HbA1c of women using telemedicine was 5.22% (SD 0.70) compared with 5.37% (SD 0.61) in the standard care group, mean difference −0.14% (95% CI −0.25% to −0.04%). There were no differences in other maternal and neonatal outcomes reported.

Conclusions

There is currently insufficient evidence that telemedicine technology is superior to standard care for women with diabetes in pregnancy; however, there was no evidence of harm. No trials were identified that assessed patient satisfaction or cost of care delivery, and it may be in these areas where these technologies may be found most valuable.

Efficacy of Internet-Based Self-Monitoring Interventions on Maternal and Neonatal Outcomes in Perinatal Diabetic Women: A Systematic Review and Meta-Analysis

Background

Self-monitoring using the Internet offers new opportunities to engage perinatal diabetic women in self-management to reduce maternal and neonatal complications.

Objective

This review aims to synthesize the best available evidence to evaluate the efficacy of Internet-based self-monitoring interventions in improving maternal and neonatal outcomes among perinatal diabetic women.

Methods

The review was conducted using Cochrane Central Register of Controlled Trials, PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature, PsyINFO, Scopus, and ProQuest Dissertations and Theses to search for English-language research studies without any year limitation. A risk of bias table was used to assess methodological quality. Meta-analysis was performed with RevMan software. Cochran Q and I² tests were used to assess heterogeneity. The overall effect was assessed using z tests at P<.05. Of the 438 studies identified through electronic searches and reference lists, nine experimental studies from 10 publications were selected.

Results

Half of the selected studies showed low risk of bias and comprised 852 perinatal diabetic women in six countries. The meta-analysis revealed that Internet-based self-monitoring interventions significantly decreased the level of maternal glycated hemoglobin A1c (z=2.23, P=.03) compared to usual care among perinatal diabetic women at postintervention. Moreover, Internet-based self-monitoring interventions significantly decreased the cesarean delivery rate (z=2.23, P=.03) compared to usual care among the mixed group at postintervention.

Conclusions

This review shows neonatal or other maternal outcomes are similar between Internet-based self-monitoring interventions and usual diabetes care among perinatal diabetic women. The long-term effects of the intervention must be confirmed in future studies using randomized controlled trials and follow-up data.

The promise of telecommunication tools to 'reach' the disengaged patient with diabetes

PURPOSE OF REVIEW

To discuss recent research on the use of telecommunication technologies to improve care for disengaged patients with diabetes.

RECENT FINDINGS

It is established that patients who are disengaged with their healthcare have worse health outcomes. Reasons for disengagement vary but could be because of difficulties accessing or affording care or not possessing the skills or tools required to manage their disease. New patient-facing technologies are being used to improve communication and coordination of care for patients with diabetes. Early results show improvements in health outcomes. Utilizing these technologies to reach patient groups susceptible for disengagement has begun to demonstrate improvement.

SUMMARY

Research over the past year has continued to demonstrate the promise of using telecommunication tools to assist patients in the management of diabetes. Although a few studies looked specifically at disengaged patients, efforts to utilize appropriate technological interventions targeting specific groups of patients are needed.