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‘Turning the tide’ on hyperglycemia in pregnancy: insights from multiscale dynamic simulation modeling

Authors :
Louise Maple-Brown
Alison Hayes
Allen McLean
David Simmons
Jo-An Atkinson
Geoff McDonnell
Ante Prodan
Yang Qin
Michael Peek
Paul M Kelly
Christopher J Nolan
Tracey Baker
Nathaniel D Osgood
Nick Roberts
Louise Freebairn
Alison L Kent
Luke Penza
Anahita Safarishahrbijari
Weicheng Qian
Roland Dyck
Lynelle Boisseau
Jacqui Davison
Jeff Flack
Eloise O’Donnell
Jana Sisnowski
Christine Whittall
Source :
BMJ Open Diabetes Research & Care, Vol 8, Iss 1 (2020)
Publication Year :
2020
Publisher :
BMJ Publishing Group, 2020.

Abstract

Introduction Hyperglycemia in pregnancy (HIP, including gestational diabetes and pre-existing type 1 and type 2 diabetes) is increasing, with associated risks to the health of women and their babies. Strategies to manage and prevent this condition are contested. Dynamic simulation models (DSM) can test policy and program scenarios before implementation in the real world. This paper reports the development and use of an advanced DSM exploring the impact of maternal weight status interventions on incidence of HIP.Methods A consortium of experts collaboratively developed a hybrid DSM of HIP, comprising system dynamics, agent-based and discrete event model components. The structure and parameterization drew on a range of evidence and data sources. Scenarios comparing population-level and targeted prevention interventions were simulated from 2018 to identify the intervention combination that would deliver the greatest impact.Results Population interventions promoting weight loss in early adulthood were found to be effective, reducing the population incidence of HIP by 17.3% by 2030 (baseline (‘business as usual’ scenario)=16.1%, 95% CI 15.8 to 16.4; population intervention=13.3%, 95% CI 13.0 to 13.6), more than targeted prepregnancy (5.2% reduction; incidence=15.3%, 95% CI 15.0 to 15.6) and interpregnancy (4.2% reduction; incidence=15.5%, 95% CI 15.2 to 15.8) interventions. Combining targeted interventions for high-risk groups with population interventions promoting healthy weight was most effective in reducing HIP incidence (28.8% reduction by 2030; incidence=11.5, 95% CI 11.2 to 11.8). Scenarios exploring the effect of childhood weight status on entry to adulthood demonstrated significant impact in the selected outcome measure for glycemic regulation, insulin sensitivity in the short term and HIP in the long term.Discussion Population-level weight reduction interventions will be necessary to ‘turn the tide’ on HIP. Weight reduction interventions targeting high-risk individuals, while beneficial for those individuals, did not significantly impact forecasted HIP incidence rates. The importance of maintaining interventions promoting healthy weight in childhood was demonstrated.

Details

Language :
English
ISSN :
20524897
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMJ Open Diabetes Research & Care
Publication Type :
Academic Journal
Accession number :
edsdoj.2354ad238f43de8b2bcdf9a32e9be5
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjdrc-2019-000975