Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials

Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis

mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.

Digital preconception interventions targeting weight, diet and physical activity: A systematic review

AIM

Optimising preconception health increases the likelihood of conception, positively influences short- and long-term pregnancy outcomes and reduces intergenerational chronic disease risk. Our aim was to synthesise study characteristics and maternal outcomes of digital or blended (combining face to face and digital modalities) interventions in the preconception period.

METHODS

We searched six databases (PubMed, Cochrane, Embase, Web of Science, CINHAL and PsycINFO) from 1990 to November 2022 according to the PRISMA guidelines for randomised control trials, quasi-experimental trials, observation studies with historical control group. Studies were included if they targeted women of childbearing age, older than 18 years, who were not currently pregnant and were between pregnancies or/and actively trying to conceive. Interventions had to be delivered digitally or via digital health in combination with face-to-face delivery and aimed to improve modifiable behaviours, including dietary intake, physical activity, weight and supplementation. Studies that included women diagnosed with type 1 or 2 diabetes were excluded. Risk of bias was assessed using the Academy of Nutrition and Dietetics quality criteria checklist. Study characteristics, intervention characteristics and outcome data were extracted.

RESULTS

Ten studies (total participants n=4,461) were included, consisting of nine randomised control trials and one pre-post cohort study. Seven studies received a low risk of bias and two received a neutral risk of bias. Four were digitally delivered and six were delivered using blended modalities. A wide range of digital delivery modalities were employed, with the most common being email and text messaging. Other digital delivery methods included web-based educational materials, social media, phone applications, online forums and online conversational agents. Studies with longer engagement that utilised blended delivery showed greater weight loss.

CONCLUSION

More effective interventions appear to combine both traditional and digital delivery methods. More research is needed to adequately test effective delivery modalities across a diverse range of digital delivery methods, as high heterogeneity was observed across the small number of included studies.

Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all?

Digital health technologies are being utilized increasingly in the modern management of diabetes. These include tools such as continuous glucose monitoring systems, connected blood glucose monitoring devices, hybrid closed-loop systems, smart insulin pens, telehealth, and smartphone applications (apps). Although many of these technologies have a solid evidence base, from the perspective of a person living with diabetes, there remain multiple barriers preventing their optimal use, creating a digital divide. In this article, we describe many of the origins of these barriers and offer recommendations on widening access to digital health technologies for underserved populations living with diabetes to improve their health outcomes.

Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey

This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women's knowledge of GDM and gathered information about healthcare professionals' (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher's exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all P < .0001), while Groups P and O had a greater preference for recording insulin and maternal body weight compared to Group W (P = .0141 and .0023, respectively). Both pregnant/postpartum women and HCPs acknowledged the benefits of utilizing a digital healthcare system for managing GDM. However, there were differences in perspectives among these groups.

Successful implementation of virtual care to overcome the challenges of managing gestational diabetes during the COVID-19 pandemic: a quality improvement project

At the start of the COVID-19 pandemic, the Jim Pattison Diabetes and Pregnancy (JP DAP) clinic quickly switched from in-person to virtual care for patients with gestational diabetes (GDM) to reduce the risk of viral transmission. Poor glycaemic control in pregnancies increases the risk of maternal-fetal complications and thus women with GDM require education, frequent follow-up and treatment to reduce these risks. Delays in care could potentially result in increased maternal-fetal complications. We conducted a prospective, single-centre quality improvement (QI) study of women with GDM who attended the JP DAP clinic and delivered between 1 September 2019 and 31 March 2021. 2123 singleton pregnancies between 1 September 2019 and 31 March 2021 with GDM were analysed for this study. The time of referral to see the endocrinologist was lower than baseline in the first wave but rose significantly in the second wave. No-shows for appointments increased in the first wave but were lower than baseline after the implementation of time slots. There was no special cause variation for maternal-fetal complications pre pandemic, first wave or during the second wave. A patient satisfaction survey reported that 93% of respondents strongly agreed or agreed with the statement 'I was satisfied with the care provided to me over the telephone appointments'. The GDM education package, online educational videos in Hindi and English and the glucometer smartphone application helped to maintain the time of referral to first endocrinologist appointment in the first wave and therefore were considered an effective substitute for in-person education. Despite the delays in care seen in the second wave, there was no increase in maternal-fetal complications. Our clinic plans to continue using virtual tools for the foreseeable future.

The promise of digital healthcare technologies

Digital health technologies have been in use for many years in a wide spectrum of healthcare scenarios. This narrative review outlines the current use and the future strategies and significance of digital health technologies in modern healthcare applications. It covers the current state of the scientific field (delineating major strengths, limitations, and applications) and envisions the future impact of relevant emerging key technologies. Furthermore, we attempt to provide recommendations for innovative approaches that would accelerate and benefit the research, translation and utilization of digital health technologies.

Knowledge, Attitude and Practice of Patients with Gestational Diabetes Mellitus Regarding Gestational Diabetes Mellitus: A Cross-Sectional Study

Introduction

Self-monitoring of blood glucose levels and changes in diet and lifestyle play important roles in the management of gestational diabetes mellitus (GDM).

Methods

This cross-sectional study enrolled patients with GDM at Hangzhou Women's Hospital, China, between September 1, 2022, and October 26, 2022. A questionnaire was designed that included the following dimensions: demographic/clinical information, knowledge, attitude and practice. Correlations between knowledge, attitude and practice scores were evaluated using Spearman correlation analysis. Factors associated with practice score ≥14/16 were identified using multivariate logistic regression.

Results

The analysis included 499 women with GDM and a mean age of 31.22±3.89 years. The average knowledge, attitude and practice score were 11.55±3.04, 34.23±4.06 and 10.7±2.87 points, respectively. Knowledge score was positively correlated with attitude score (r=0.318, P<0.001) and practice score (r=0.351, P<0.001); attitude and practice scores were also positively correlated (r=0.209, P<0.001). Multivariate analysis identified higher knowledge score (odds ratio [OR], 1.138; 95% confidence interval [95% CI], 1.042-1.244; P=0.004) and higher attitude score (OR, 1.137; 95% CI, 1.060-1.219; P<0.001) as independently associated with good practice (ie, practice score ≥14 points).

Conclusion

The results provide important insights into the knowledge, attitudes and practices of women with GDM in China regarding GDM and its management. These findings may facilitate the development and implementation of education and training programs to improve the self-management of GDM by women in China.

Effectiveness of a comprehensive telemedicine intervention replacing standard care in gestational diabetes: a randomized controlled trial

AIMS

Telemedicine improves glycemic and perinatal outcomes when used as an adjunct to standard care in gestational diabetes (GDM). Little is known about its effectiveness when used instead of standard care. We aimed to compare the outcomes of telemedicine care and the standard care in women with GDM.

METHODS

In a single-center, parallel, randomized controlled trial, women were randomized to: (1) a telemedicine group, sending glucose readings via an application installed on a smartphone and monthly individual video calls replacing on-site visits or (2) standard care group with routine monthly on-site visits. The primary outcome was the effectiveness of glycemic control. The secondary outcomes were gestational weight gain (GWG) and perinatal data, including birth weight, gestational age, the incidence of the offspring large for gestational age, preterm birth, preeclampsia and cesarean section.

RESULTS

A total of 106 women were randomized to the telemedicine (n = 54) and the standard care group (n = 52). The telemedicine group demonstrated less postprandial measurements above the glycemic target (10.4% [3.9-17.9] vs. 14.6% [6.5-27.1]; p = 0.015), together with lower average postprandial glucose (5.6 ± 0.3 vs. 5.9 ± 0.4; p = 0.004). Percentage of cesarean section was lower in the telemedicine group (9 (17.3%) vs. 18 (35.3%); p = 0.038).

CONCLUSIONS

Telemedicine offers an effective alternative to delivering care to women with GDM. Trial registration NCT05521893, ClinicalTrials.gov Identifier URL: https://www.

CLINICALTRIALS

gov/ct2/show/NCT05521893?term=NCT05521893&draw=2&rank=1.

Effectiveness of Smartphone-Based Lifestyle Interventions on Women with Gestational Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background

Gestational diabetes mellitus (GDM) is a condition that causes poor glucose tolerance during pregnancy and usually resolves after birth. Having GDM impacts the mother and baby. Smartphone-based lifestyle interventions may offer innovative solutions.

Aim

To examine the effects of smartphone-based lifestyle interventions on compliance, Hemoglobin A1c (HbA1c), maternal outcomes, infant outcomes, psychological status, satisfaction, and cost effectiveness among women with GDM.

Methods

Randomized controlled trials (RCTs) of smartphone-based lifestyle interventions for women with GDM aged over 18 years were included. A systematic search of PubMed, Embase, Web of Science, CINAHL, and Cochrane Library for articles published from January 2007 to March 2022 and updated on 12 October 2022. Data were extracted independently by two researchers, and the risk of bias in individual trials was rated using the Cochrane risk-of-bias tool (RoB 2). Meta-analysis was conducted by using RevMan 5.3.

Results

Ten studies were included involving 1626 participants. The mean ages of the women were 32.42 ±4.68 years. Eight out of 10 studies were conducted in developed countries. Meta-analysis found that smartphone-based lifestyle interventions statistically improved compliance [SMD = 7.36, 95% CI = (4.05 to 10.68), P < 0.0001] and decreased the incidences of neonatal intensive care unit (NICU) admission [RR = 0.64, 95% CI = (0.47,0.86), P = 0.003], compared with controls. However, intervention effects on HbA1c, maternal outcomes, neonatal hypoglycemia, and infant birth weight were non significant. Moreover, the satisfaction of intervention is high in this review. Contrastingly, no significant effects were observed for psychological status and cost-effectiveness.

Conclusion

Smartphone-based lifestyle interventions may improve patient compliance and reduce NICU admissions. These findings may aid in developing future intervention strategies, help elucidate future research directions, and guide clinical practice for women with GDM. Future high-quality RCTs must be further studied at larger scales to examine smartphone-based lifestyle interventions' long-term effects and cost-effectiveness.

STORK: Collaborative Online Monitoring of Pregnancies Complicated with Gestational Diabetes Mellitus

Background: A novel digital platform, named STORK, was developed in the COVID-19 pandemic when clinic visits were restricted. A study of its clinical use during the pandemic was conducted. The study aims to advance the state of the art in monitoring and care of pregnancies complicated with gestational diabetes mellitus (GDM) via online collaboration between patients and care providers. Methods: This study involved 31 pregnant women diagnosed with GDM and 5 physicians. Statistical comparisons were made in clinic-visit frequency and adverse outcomes between the STORK group and a historical control group of 32 women, compatible in size, demographics, anthropometrics and medical history. Results: The average number of submitted patient measurements per day was 3.6±0.4. The average number of clinic visits was 2.9±0.7 for the STORK group vs. 4.1±1.1 for the control group (p<0.05). The number of neonatal macrosomia cases was 2 for the STORK group vs. 3 for the control group (p>0.05); no other adverse incidents. Conclusions: The patient compliance with the pilot use of STORK was high and the average number of prenatal visits was reduced. The results suggest the general feasibility to reduce the average number of clinic visits and cost, with enhanced monitoring, case-specific adaptation, assessment and care management via timely online collaboration.