Implementation of national screening guidelines for gestational diabetes: A national survey of maternity units in England

Phenome-Wide Investigation of the Causal Associations Between Pre-Pregnancy Obesity Traits and Gestational Diabetes: A Two-Sample Mendelian Randomization Analyses

Pre-pregnancy obesity was associated with gestational diabetes in observational studies, but whether this relationship is causal remains to be determined. To evaluate whether pre-pregnancy obesity traits causally affect gestational diabetes risk, a two-sample Mendelian randomization (MR) analysis was performed utilizing summary-level statistics from published genome-wide association studies (GWAS). Obesity-related traits included body mass index (BMI), overweight, obesity, obesity class 1, obesity class 2, obesity class 3, childhood obesity, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), percent liver fat, visceral adipose tissue volume, abdominal subcutaneous adipose tissue volume. Effect estimates were evaluated using the inverse-variance weighting method. Weighted median, MR-Egger, simple mode, and weighted mode were performed as sensitivity analyses. Genetically predicted pre-pregnancy BMI [odds ratio (OR) = 1.68; 95% confidence interval (CI): 1.45-1.95; P = 9.13 × 10-12], overweight (OR = 1.49; 95% CI: 1.21-1.85; P = 2.06 × 10-4), obesity (OR = 1.25; 95% CI: 1.18-1.33; P = 8.01 × 10-13), obesity class 1 (OR = 1.31; 95% CI: 1.17-1.46; P = 1.49 × 10-6), obesity class 2 (OR = 1.26; 95% CI: 1.16-1.37; P = 5.23 × 10-8), childhood obesity (OR = 1.33; 95% CI: 1.23-1.44; P = 4.06 × 10-12), and WHR (OR = 2.35; 95% CI: 1.44-3.83; P = 5.89 × 10-4) were associated with increased risk of gestational diabetes. No significant association was observed with obesity class 3, WC, HC, percent liver fat, visceral adipose tissue volume, or abdominal subcutaneous adipose tissue volume. Similar results were observed in sensitivity analyses. Therefore, genetically predicted pre-pregnancy obesity traits may increase the risk of gestational diabetes. Weight control before pregnancy may be beneficial to prevent gestational diabetes.

Gestational diabetes mellitus and subsequent cardiovascular disease in a period of rising diagnoses: Cohort study

INTRODUCTION

Evidence suggests that gestational diabetes mellitus (GDM) is associated with subsequent cardiovascular disease; however, it is unclear what impact changes in screening and diagnostic criteria have had on the association of GDM with long-term outcomes such as cardiovascular disease. The purpose of this study was to determine the association between GDM and subsequent cardiovascular disease during a period of rising gestational diabetes diagnosis in England. Specifically, associations were compared before and after 2008, when national guidelines supporting risk factor-based screening were introduced.

MATERIAL AND METHODS

We conducted a cohort study using routinely collected data from the Clinical Practice Research Datalink linked to the Hospital Episode Statistics and Office for National Statistics databases. The study consisted of persons aged 15-45 years with a livebirth or stillbirth between 1998 and 2017 and without a history of cardiovascular disease or pre-pregnancy diabetes mellitus. Cox proportional hazards models, with propensity score weighting using matching weights, were used to estimate adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) for the association of GDM diagnosis in the first recorded pregnancy with subsequent cardiovascular disease.

RESULTS

Among 232 315 individuals, the incidence of cardiovascular disease was 6.6 per 1000 person-years among those with GDM and 2.2 per 1000 person-years among those without GDM over a mean follow-up duration of 5.8 years. The overall aHR, 95% CI was 1.91 (1.41, 2.60). Diagnosis of GDM increased over the study period, from 0.7% in 1998-99 to 5.3% in 2017. The effect size was not markedly different in the years before (1998-2007: adjusted HR 2.05, 95% CI 2.05 1.35, 3.12) and after 2008 (2008-2017: adjusted HR 1.79, 95% CI 1.15, 2.80).

CONCLUSIONS

There was a strong association of GDM with cardiovascular disease after accounting for social and demographic factors and multiple comorbidities, and this association was present both before and after 2008, when national gestational diabetes screening criteria were established.

Exploring health professionals' knowledge, practices and attitudes regarding gestational diabetes: A cross-sectional Irish national survey

AIM

Gestational diabetes confers short- and long-term risk of mother and offspring health complications. Healthcare professionals such as endocrinologists, diabetes nurses, dietitians, midwives and general practitioners provide gestational diabetes care. We sought to explore healthcare professionals' perspectives on gestational diabetes care during pregnancy and postpartum.

METHODS

Healthcare professionals in the Republic of Ireland, whose role included gestational diabetes care were invited to complete an online 20-item survey between June and September 2022. Social media, professional organisations and personal networks were used for recruitment. Questions included guideline use, postpartum diabetes screening and advice practices. Analyses were performed using SPSS statistical software and free text was coded using NVivo.

RESULTS

Seventeen healthcare professions across primary and secondary care settings participated (n = 127). No differences were noted between groups (medical, nursing/midwifery, allied health/other); therefore, findings were reported as a single group. Healthcare professionals reported using multiple different guidelines to support gestational diabetes management (n = 14). The most cited were 'Health Service Executive guidelines' (24.5%), 'local guidelines' (13.2%) and National Institute for Clinical Excellence guidelines (11.3%); 12.3% cited uncertainty, and 27.5% reported not to follow any named guidelines. For postpartum follow-up, 39% felt clear guidelines were available to support practice, 37% felt appropriate systems were in place and 29% reported effective communication between primary and secondary care services. Qualitative findings emphasised a desire for improved communication between systems, participants and providers, clear interdisciplinary guidelines, and adequate resourcing for gestational diabetes management and postpartum diabetes prevention, including comprehensive support and follow-up.

CONCLUSION

System-level challenges and ineffective communication across settings are barriers to optimum postpartum care. Nationally agreed guidelines for best practice gestational diabetes management including postpartum diabetes prevention are needed.

Association between maternal adiposity measures and adverse maternal outcomes of pregnancy: Systematic review and meta-analysis

Maternal obesity increases pregnancy-related risks. Women with a body mass index (BMI) ≥ 30 kg/m2 are considered to be at risk and should receive additional care, although approximately half will have uncomplicated pregnancies. This systematic review aimed to identify early pregnancy measures of adiposity associated with adverse maternal health outcomes. Searches included six databases, reference lists, citations, and contacting authors. Screening and quality assessment were carried out by two authors independently. Random effects meta-analysis and narrative synthesis were conducted. Seventy studies were included with a pooled sample of 89,588 women. Meta-analysis showed significantly increased odds of gestational diabetes mellitus (GDM) with higher waist circumference (WC) categories (1.40, 95% confidence interval [CI] 1.04, 1.88) and per unit increase in WC (1.31, 95% CI 1.03, 1.67). Women with GDM had higher WC than controls (mean difference [MD] 6.18 cm, 95% CI 3.92, 8.44). WC was significantly associated with hypertensive disorders, delivery-related outcomes, metabolic syndrome, and composite pregnancy outcomes. Waist to hip ratio was significantly associated with GDM, hypertensive disorders, and delivery-related outcomes. Fat mass, neck circumference, skinfolds, and visceral fat were significantly associated with adverse outcomes, although limited data were available. Our findings identify the need to explore how useful adiposity measures are at predicting risk in pregnancy, compared with BMI, to direct care to women with the greatest need.

Implementation science in maternity care: a scoping review

BACKGROUND

Despite wide recognition that clinical care should be informed by the best available evidence, this does not always occur. Despite a myriad of theories, models and frameworks to promote evidence-based population health, there is still a long way to go, particularly in maternity care. The aim of this study is to appraise the scientific study of methods to promote the systematic uptake of evidence-based interventions in maternity care. This is achieved by clarifying if and how implementation science theories, models, and frameworks are used.

METHODS

To map relevant literature, a scoping review was conducted of articles published between January 2005 and December 2019, guided by Peters and colleagues' (2015) approach. Specifically, the following academic databases were systematically searched to identify publications that presented findings on implementation science or the implementation process (rather than just the intervention effect): Business Source Complete; CINAHL Plus with Full Text; Health Business Elite; Health Source: Nursing/Academic Edition; Medline; PsycARTICLES; PsycINFO; and PubMed. Information about each study was extracted using a purposely designed data extraction form.

RESULTS

Of the 1181 publications identified, 158 were included in this review. Most of these reported on factors that enabled implementation, including knowledge, training, service provider motivation, effective multilevel coordination, leadership and effective communication-yet there was limited expressed use of a theory, model or framework to guide implementation. Of the 158 publications, 144 solely reported on factors that helped and/or hindered implementation, while only 14 reported the use of a theory, model and/or framework. When a theory, model or framework was used, it typically guided data analysis or, to a lesser extent, the development of data collection tools-rather than for instance, the design of the study.

CONCLUSION

Given that models and frameworks can help to describe phenomenon, and theories can help to both describe and explain it, evidence-based maternity care might be promoted via the greater expressed use of these to ultimately inform implementation science. Specifically, advancing evidence-based maternity care, worldwide, will require the academic community to make greater explicit and judicious use of theories, models, and frameworks.

REGISTRATION

Registered with the Joanna Briggs Institute (registration number not provided).

Assessment of the quality, content and perceived utility of local maternity guidelines in hospitals in England implementing the saving babies' lives care bundle to reduce stillbirth

Introduction

The UK Department of Health have targeted a reduction in stillbirth by 50% by 2025; to achieve this, the first version of the Saving Babies’ Lives Care Bundle (SBLCB) was developed by NHS England in 2016 to improve four key areas of antenatal and intrapartum care. Clinical practice guidelines are a key means by which quality improvement initiatives are disseminated to front-line staff.

Methods

Seventy-five clinical practice guidelines covering the four areas of antenatal and intrapartum care in the first version of SBLCB were obtained from 19 maternity providers. The content and quality of guidelines were evaluated using the Appraisal of Guidelines for Research and Evaluation (AGREE II) tool. Maternity health professionals in participating organisations were invited to participate in an anonymous survey to determine perceptions toward and experiences of the use of clinical practice guidelines using a series of Likert scales.

Results

Unit guidelines showed considerable variation in quality with median scores of 50%–58%. Only 4 (5.6%) guidelines were recommended for use in clinical practice without modifications, 54 (75.0%) were recommended for use subject to modifications and 12 (16.7%) were not recommended for use. The lowest scoring domains were ‘rigour of development’, ‘stakeholder involvement’ and ‘applicability’. A significant minority of unit guidelines omitted recommendations from national guidelines. The majority of staff believed that clinical practice guidelines standardised and improved the quality of care but over 30% had insufficient time to use them and 24% stated they were unable to implement recommendations.

Conclusion

To successfully implement initiatives such as the SBLCB change is needed to local clinical practice guidelines to reduce variation in quality and to ensure they are consistent with national recommendations. In addition, to improve clinical practice, adequate time and resources need to be in place to deliver and evaluate care recommended in the SBLCB.