Preventing gestational diabetes mellitus using ipd-meta analysis and cost effectiveness analysis in predicting fetal growth restriction

Coomar, Dyuti ORCID: 0000-0001-6229-0830 (2025). Preventing gestational diabetes mellitus using ipd-meta analysis and cost effectiveness analysis in predicting fetal growth restriction. University of Birmingham. Ph.D.

Coomar2025PhD.pdf
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial.
Download (7MB)

Abstract

Introduction: This thesis looked at two aspects of evidence-based medicine (EBM): evidence synthesis and assessing the cost-effectiveness of new evidence, by focusing on two high risk pregnancy conditions: gestational diabetes mellitus (GDM) and fetal growth restriction (FGR). Evidence was synthesised to study the effect of lifestyle interventions in preventing GDM in women, using different definitions of GDM. Further, a cost-effectiveness analysis was conducted for three different approaches used in detecting fetal growth restriction (FGR) during pregnancy , namely, (1) no routine testing of FGR; (2) using symphysis fundal height (SFH) and ultrasound scans and (3) using the International Prediction of Pregnancy Complications (IPPIC) prediction model.

Type of Work:

Thesis (Doctorates > Ph.D.)

Award Type:

Doctorates > Ph.D.

Supervisor(s):