Bridging Gaps and Understanding Disparities in Gestational Diabetes Mellitus to Improve Perinatal Outcomes

Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review

Background

Gestational diabetes mellitus (GDM) is an increasingly common high-risk pregnancy condition requiring intensive daily self-management, placing the burden of care directly on the patient. Understanding personal and cultural differences among patients is critical for delivering optimal support for GDM self-management, particularly in high-risk populations. Although mobile apps for GDM self-management are being used, limited research has been done on the personalized and culturally tailored features of these apps and their impact on patient self-management.

Objective

This scoping review aims to explore the extent to which published studies report the integration and effectiveness of personalized and culturally tailored features in GDM mobile apps for patient self-management support.

Methods

We examined English-language peer-reviewed articles published between October 2016 and May 2023 from PubMed, CINAHL, PsycINFO, ClinicalTrials.gov, Proquest Research Library, and Google Scholar using search terms related to digital tools, diabetes, pregnancy, and cultural tailoring. We reviewed eligible articles and extracted data using the Arskey and O'Malley methodological framework.

Results

Our search yielded a total of 1772 articles after the removal of duplicates and 158 articles for full-text review. A total of 21 articles that researched 15 GDM mobile apps were selected for data extraction. Our results demonstrated the stark contrast between the number of GDM mobile apps with personalized features for the individual user (all 15 mobile apps) and those culturally tailored for a specific population (only 3 of the 15 mobile apps). Our findings showed that GDM mobile apps with personalized and culturally tailored features were perceived to be useful to patients and had the potential to improve patients' adherence to glycemic control and nutrition plans.

Conclusions

There is a strong need for increased research and development to foster the implementation of personalized and culturally tailored features in GDM mobile apps for self-management that cater to patients from diverse backgrounds and ethnicities. Personalized and culturally tailored features have the potential to serve the unique needs of patients more efficiently and effectively than generic features alone; however, the impacts of such features still need to be adequately studied. Recommendations for future research include examining the cultural needs of different ethnicities within the increasingly diverse US population in the context of GDM self-management, conducting participatory-based research with these groups, and designing human-centered mobile health solutions for both patients and providers.

Implementing point-of-care hemoglobin A1C testing in an obstetrics outpatient clinic

BACKGROUND

A1C ≥6.0% is associated with increased risk of adverse outcomes in pregnant diabetic patients. A1C testing is recommended by the American Diabetes Association as a secondary measure of glycemic control in pregnant patients.

OBJECTIVE

To determine the utility of A1C point-of-care testing (POCT) during pregnancy to facilitate rapid counseling and diabetes care, particularly in relatively low-income transient patient populations.

METHODS

We performed a single-center, retrospective analysis of patients presenting to an outpatient obstetrics office with routine, in-laboratory A1C testing, before and after the implementation of POCT for A1C (n = 70 and n = 75, respectively). Demographics, results, physician referral to a nutritionist, counseling, and outcomes were retrieved from patient electronic medical records.

RESULTS

In total, 9% and 23% of the in-laboratory and POCT groups, respectively, were referred for nutrition services (P = .02). Of these, 22% of the in-laboratory group and 42% of the POCT group received immediate counseling (P < .01). An inverse correlation was observed between A1C level at study entry and gestational weeks at delivery, with a Pearson r value of -0.39 (-0.58 to -0.16) for the in-laboratory group and -0.38 (-0.57 to -0.14) for the POCT group. No statistically significant difference in pregnancy outcomes was observed.

CONCLUSION

Implementation of A1C POCT was associated with immediate counseling and management of the health of pregnant patients, but was not associated with improved outcomes, in a low-resource patient population.

Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework

Objective

High-risk pregnancy (HRP) conditions such as gestational diabetes mellitus (GDM), hypertension (HTN), and peripartum depression (PPD) affect maternal and neonatal health. Patient engagement is critical for effective HRP management (HRPM). While digital technologies and analytics hold promise, emerging research indicates limited and suboptimal support offered by the highly prevalent pregnancy digital solutions within the commercial marketplace. In this article, we describe our efforts to develop a portfolio of digital products leveraging advances in social computing, data science, and digital health.

Methods

We describe three studies that leverage core methods from Digilego digital health development framework to (1) conduct large-scale social media analysis (n = 55 301 posts) to understand population-level patterns in women's needs, (2) architect a digital repository to enable women curate HRP related information, and (3) develop a digital platform to support PPD prevention. We applied a combination of qualitative coding, machine learning, theory-mapping, and programmatic implementation of theory-linked digital features. Further, we conducted preliminary testing of the resulting products for acceptance with sample of pregnant women for GDM/HTN information management (n = 10) and PPD prevention (n = 30).

Results

Scalable social computing models using deep learning classifiers with reasonable accuracy have allowed us to capture and examine psychosociobehavioral drivers associated with HRPM. Our work resulted in two digital health solutions, MyPregnancyChart and MomMind are developed. Initial evaluation of both tools indicates positive acceptance from potential end users. Further evaluation with MomMind revealed statistically significant improvements (P < .05) in PPD recognition and knowledge on how to seek PPD information.

Discussion

Digilego framework provides an integrative methodological lens to gain micro-macro perspective on women's needs, theory integration, engagement optimization, as well as subsequent feature and content engineering, which can be organized into core and specialized digital pathways for women engagement in disease management.

Conclusion

Future works should focus on implementation and testing of digital solutions that facilitate women to capture, aggregate, preserve, and utilize, otherwise siloed, prenatal information artifacts for enhanced self-management of their high-risk conditions, ultimately leading to improved health outcomes.

Development and Implementation of an Integrated Model of Perinatal Diabetes Education and Management to Improve Maternity Outcomes and Health Equity

Diabetes mellitus (DM) confers unique risks during the perinatal period, contributing to maternal, fetal, and neonatal morbidity and mortality. Integrating DM education and management services with obstetrical care offers key advantages for birthing individuals. The purpose of this study is to describe the development and implementation of a perinatal DM program at a large ambulatory practice serving a diverse population. Understanding this approach and program workflow may facilitate adoption of similar services in other care settings.

The STAR-MAMA RCT: Bilingual Mobile Health Coaching for Postpartum Weight Loss

INTRODUCTION

Gestational diabetes and overweight during pregnancy are associated with future type 2 diabetes. Postpartum weight loss can reduce diabetes risk. However, effective interventions for postpartum weight loss are lacking, in particular for Latina populations, despite their disproportionate burdens of gestational diabetes, overweight, and diabetes.

STUDY DESIGN

This was a community-based RCT.

SETTING/PARTICIPANTS

Researchers recruited pregnant individuals with gestational diabetes or BMI>25 kg/m2 from safety-net health care settings and Women, Infants, and Children offices in Northern California in 2014-2018. Of 180 individuals randomized to intervention (n=89) or control (n=91), 78% identified as Latina, 61% were primarily Spanish speaking, and 76% perceived their diabetes risk to be low.

INTERVENTION

The intervention consisted of a 5-month postpartum telephone-based health coaching intervention delivered in English or Spanish.

MAIN OUTCOME MEASURES

Data were collected through surveys at enrollment and 9-12 months after delivery and chart review up to 12 months after delivery. The primary outcome, weight change from prepregnancy to 9-12 months after delivery, was compared between the groups, overall and within strata defined a priori according to language (Spanish or English) and diabetes risk perception (none/slight or moderate/high).

RESULTS

The intent-to-treat estimated intervention effect was +0.7 kg (95% CI= -2.4 kg, +3.8 kg; p=0.67). In stratified analyses, intervention effects remained nonsignificant but varied in direction: effects were favorable among English speakers and those with higher perceived diabetes risk, and unfavorable among Spanish speakers and those with lower perceived risk. Analyses were conducted in 2021-2022.

CONCLUSIONS

A postpartum health coaching intervention, designed for low-income Latina women at increased risk for diabetes, did not reduce postpartum weight gain. Intervention effects were nonsignificantly more favorable among English speakers versus Spanish speakers, and among those who perceived their diabetes risk to be high versus low.

TRIAL REGISTRATION

This study is registered at www.

CLINICALTRIALS

gov NCT02240420.

Profiles and Outcomes of Women with Gestational Diabetes Mellitus in the United States

Introduction Gestational diabetes mellitus (GDM) is a major contributor to adverse pregnancy outcomes both in the United States and globally. As the prevalence of obesity continues to rise, the incidence of GDM is anticipated to increase as well. Despite the significant impact of GDM on maternal and neonatal health, research examining the independent associations between GDM and adverse outcomes remains limited in the U.S. context. Objective This study aims to address this knowledge gap and further elucidate the relationship between GDM and maternal and neonatal health outcomes. Method We performed a retrospective study using data from the United States Vital Statistics Records, encompassing deliveries that occurred between January 2015 and December 2019. Our analysis aimed to establish the independent association between GDM and various adverse maternal and neonatal outcomes. The multivariate analysis incorporated factors such as maternal socioeconomic demographics, preexisting comorbidities, and conditions during pregnancy to account for potential confounders and elucidate the relationship between GDM and the outcomes of interest. Result Between 2015 and 2019, there were 1,212,589 GDM-related deliveries, accounting for 6.3% of the 19,249,237 total deliveries during the study period. Among women with GDM, 46.4% were Non-Hispanic Whites, 11.4% were Non-Hispanic Blacks, 25.7% were Hispanics, and 16.5% belonged to other racial/ethnic groups. The median age of women with GDM was 31 years, with an interquartile range of 27-35 years. The cesarean section rate among these women was 46.5%. GDM was identified as an independent predictor of adverse maternal and neonatal outcomes, including cesarean section (OR=1.40; 95% CI: 1.39-1.40), maternal blood transfusion (OR=1.15; 95% CI: 1.12-1.18), intensive care unit admission (OR=1.16; 95% CI: 1.10-1.21), neonatal intensive care unit admission (OR=1.53; 95% CI: 1.52-1.54), assisted ventilation (OR=1.37; 95% CI: 1.35-1.39), and low 5-minute Apgar score (OR=1.01; 95% CI: 1.00-1.03). Conclusion GDM serves as an independent risk factor for adverse maternal and neonatal outcomes, emphasizing the importance of early detection and management in pregnant women.

Integrating Gestational Diabetes Screening and Care and Type 2 Diabetes Mellitus Prevention After GDM Into Community Based Primary Health Care in South Africa-Mixed Method Study

Background:

Despite high gestational diabetes mellitus (GDM) prevalence in South Africa (9.1% in 2018), its screening and management are not well integrated into routine primary health care and poorly linked to post-GDM prevention of type 2 diabetes mellitus (T2DM) in South Africa’s fragmented health system. This study explored women’s, health care providers’ and experts’ experiences and perspectives on current and potential integration of GDM screening and prevention of T2DM post-GDM within routine, community-based primary health care (PHC) services in South Africa.

Methods:

This study drew on the Behaviour Change Wheel (BCW) framework and used a mixed method, sequential exploratory design for data collection, analysis and interpretation. Individual semi-structured interviews were conducted with key informants (n = 5) from both national and provincial levels and health care providers (n = 18) in the public health system of the Western Cape Province. Additionally, focus group discussions (FGDs) with Community Health Workers (CHWs n = 15) working with clinics in the Western Cape province. A further four FGDs and brief individual exit interviews were conducted with women with GDM (n = 35) followed-up at a tertiary hospital: Groote Schuur Hospital (GSH). Data collection with women diagnosed and treated for GDM happened between March and August 2018.

Thematic analysis was the primary analytical method with some content analysis as appropriate. Statistical analysis of quantitative data from the 35 exit interview questionnaires was conducted, and correlation with qualitative variables assessed using Cramér’s V coefficient.

Results:

Shortage of trained staff, ill-equipped clinics, socio-economic barriers and lack of knowledge were the major reported barriers to successful integration of GDM screening and postnatal T2DM prevention. Only 43% of women reported receiving advice about all four recommendations to improve GDM and decrease T2DM risk (improve diet, reduce sugar intake, physical exercise and regularly take medication). All participants supported integrating services within routine, community-based PHC to universally screen for GDM and to prevent or delay development of T2DM after GDM.

Conclusion:

GDM screening and post-GDM prevention of T2DM are poorly integrated into PHC services in South Africa. Integration is desired by stakeholders (patients and providers) and may be feasible if PHC resource, training constraints and women’s socio-economic barriers are addressed.

Mothers' Perspectives on a Mother/Infant Dyad Postpartum Primary Care Program Following Gestational Diabetes Mellitus: A Qualitative Pilot Study

PURPOSE

The purpose of this study is to characterize mothers' experiences within a mother/infant dyad postpartum primary care program (Dyad) following gestational diabetes mellitus (GDM) to inform improvements in the delivery of care.

METHODS

A qualitative pilot study of women (n = 10) enrolled in a mother/infant Dyad program was conducted in a primary care practice at a large, urban academic medical center. Respondents were asked a series of open-ended questions about their experience with GDM, the Dyad program, and health behaviors. Interviews were audio-recorded, transcribed verbatim, and analyzed using ground theory with NVivo 12 Plus software.

RESULTS

Three key themes emerged: (1) Dyad program experience, (2) implementation of health behavior changes, and (3) acknowledgment of future GDM and type 2 diabetes mellitus (T2DM) health risks. Respondents found the Dyad program respondents felt that the program conveniently served mother and infant health care needs in a single appointment. Respondents also valued support from primary care providers when implementing health behavior changes. The Dyad program provided an opportunity for respondents to understand their current and future risk for developing GDM and T2DM.

CONCLUSIONS

Postpartum women enrolled in the Dyad program received highly personalized primary care services. The results of our study will help integrate patient-centered strategies into models for GDM care to maintain patient engagement in postpartum clinical services.

A Scoping Review on Gestational Diabetes in Hawai'i: A "Window of Opportunity" to Address Intergenerational Risk for Type 2 Diabetes Mellitus

The health of women over the entire span of their reproductive years is crucial - beginning in adolescence and extending through the postpartum period. This paper provides a scoping review of the relevant literature on risk factors for gestational diabetes mellitus (GDM) and progression from GDM to type 2 diabetes mellitus (T2DM), particularly among women of Native Hawaiian and Pacific Islander (NHPI) and Asian racial/ethnic backgrounds in Hawai'i, using the PubMed database (July 2010 to July 2020). NHPI and Asian populations have a greater likelihood of developing GDM compared to their White counterparts. Risk factors such as advanced maternal age, high maternal body mass index, and lack of education about GDM have varying levels of impact on GDM diagnosis between ethnic populations. Mothers who have a history of GDM are also at higher risk of developing T2DM. Common risk factors include greater increase in postpartum body mass index and use of diabetes medications during pregnancy. However, few studies investigate the progression from GDM to T2DM in Hawai'i's Asian and NHPI populations, and no studies present upstream preconception care programs to prevent an initial GDM diagnosis among Hawai'i's women. Thus, updated reports are necessary for optimal early interventions to prevent the onset of GDM and break the intergenerational cycle of increased susceptibility to T2DM and GDM in both mother and child. Further attention to the development of culturally sensitive interventions may reduce disparities in GDM and improve the health for all affected by this condition.

Association of circulating omega 3, 6 and 9 fatty acids with gestational diabetes mellitus: a systematic review

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with increased risks of disease for mother and child during pregnancy and after that. Early diagnosis of GDM would promote both maternal and fetal health. Metabolomics can simplify and develop our understanding of the etiology, manifestation, or pathophysiology of the disease. This systematic review investigates the association of circulating omega 3, 6, and 9 fatty acids with GDM.

METHODS

We conducted a systematic search of PubMed, Scopus, Web of Science, and EMBASE databases up to May 8, 2020, using the key term combinations of all types of omega fatty acids with gestational diabetes mellitus. Additional articles were identified through searching the reference lists of included studies.

RESULTS

This systematic review included 15 articles. Five were cohort studies, four included nested case-control studies and four were case-control studies. The results of this study demonstrate an increasing trend in the amount of oleic acid and palmitoleic acid in the second trimester and an increase in decosahexanoic acid in the third trimester of GDM mothers. The changes in other fatty acids of interest are either not significant or if significant, their results are inconsistent with the other existing articles.

CONCLUSIONS

Omega fatty acids, as potential biomarkers, are considered to be associated with GDM risk and thus provide useful information regarding the prevention and early diagnosis of GDM. Moreover, existing metabolomic studies on GDM are shown to provide conflicting results about metabolite profile characteristics. This systematic review was registered at PROSPERO ( www.crd.york.ac.uk/PROSPERO ) as CRD42020196122.

The Role of Maternal Weight in the Hierarchy of Macrosomia Predictors; Overall Effect of Analysis of Three Prediction Indicators

So far it has not been established which maternal features play the most important role in newborn macrosomia. The aim of this study is to provide assessment of a hierarchy of twenty six (26) maternal characteristics in macrosomia prediction. A Polish prospective cohort of women with singleton pregnancy (N = 912) which was recruited in the years 2015–2016 has been studied. Two analyses were performed: for probability of macrosomia > 4000 g (n = 97) (vs. 755 newborns 2500–4000 g); and for birthweight > 90th percentile (n = 99) (vs. 741 newborns 10–90th percentile). A multiple logistic regression was used (with 95% confidence intervals (CI)). A hierarchy of significance of potential predictors was established after summing up of three prediction indicators (NRI, IDI and AUC) calculated for the basic prediction model (maternal age + parity) extended with one (test) predictor. ‘Net reclassification improvement’ (NRI) focuses on the reclassification table describing the number of women in whom an upward or downward shift in the disease probability value occurred after a new factor had been added, including the results for healthy and ill women. ‘Integrated discrimination improvement’ (IDI) shows the difference between the value of mean change in predicted probability between the group of ill and healthy women when a new factor is added to the model. The area under curve (AUC) is a commonly used indicator. Results. The macrosomia risk was the highest for prior macrosomia (AOR = 7.53, 95%CI: 3.15–18.00, p < 0.001). A few maternal characteristics were associated with more than three times higher macrosomia odds ratios, e.g., maternal obesity and gestational age ≥ 38 weeks. A different hierarchy was shown by the prediction study. Compared to the basic prediction model (AUC = 0.564 (0.501–0.627), p = 0.04), AUC increased most when pre-pregnancy weight (kg) was added to the base model (AUC = 0.706 (0.649–0.764), p < 0.001). The values of IDI and NRI were also the highest for the model with maternal weight (IDI = 0.061 (0.039–0.083), p < 0.001), and (NRI = 0.538 (0.33–0.746), p < 0.001). Adding another factor to the base model was connected with significantly weaker prediction, e.g., for gestational age ≥ 38 weeks (AUC = 0.602 (0.543–0.662), p = 0.001), (IDI = 0.009 (0.004; 0.013), p < 0.001), and (NRI = 0.155 (0.073; 0.237), p < 0.001). After summing up the effects of NRI, IDI and AUC, the probability of macrosomia was most strongly improved (in order) by: pre-pregnancy weight, body mass index (BMI), excessive gestational weight gain (GWG) and BMI ≥ 25 kg/m². Maternal height, prior macrosomia, fetal sex-son, and gestational diabetes mellitus (GDM) occupied an intermediate place in the hierarchy. The main conclusions: newer prediction indicators showed that (among 26 features) excessive pre-pregnancy weight/BMI and excessive GWG played a much more important role in macrosomia prediction than other maternal characteristics. These indicators more strongly highlighted the differences between predictors than the results of commonly used odds ratios.

Gestational Diabetes Mellitus and Infant Adiposity at Birth: A Systematic Review and Meta-Analysis of Therapeutic Interventions

Exposure to untreated gestational diabetes mellitus (GDM) in utero increases the risk of obesity and type 2 diabetes in adulthood, and increased adiposity in GDM-exposed infants is suggested as a plausible mediator of this increased risk of later-life metabolic disorders. Evidence is equivocal regarding the impact of good glycaemic control in GDM mothers on infant adiposity at birth. We systematically reviewed studies reporting fat mass (FM), percent fat mass (%FM) and skinfold thicknesses (SFT) at birth in infants of mothers with GDM controlled with therapeutic interventions (IGDMtr). While treating GDM lowered FM in newborns compared to no treatment, there was no difference in FM and SFT according to the type of treatment (insulin, metformin, glyburide). IGDMtr had higher overall adiposity (mean difference, 95% confidence interval) measured with FM (68.46 g, 29.91 to 107.01) and %FM (1.98%, 0.54 to 3.42) but similar subcutaneous adiposity measured with SFT, compared to infants exposed to normal glucose tolerance (INGT). This suggests that IGDMtr may be characterised by excess fat accrual in internal adipose tissue. Given that intra-abdominal adiposity is a major risk factor for metabolic disorders, future studies should distinguish adipose tissue distribution of IGDMtr and INGT.