Publications by authors named "Susanne Baker"
Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.
Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.
Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.
Article Synopsis
- The study aimed to create prediction models to identify women with gestational diabetes mellitus (GDM) who are at high risk for developing type 2 diabetes (T2DM) after giving birth.
- Using data from 1,299 women in the LIVING study, the researchers developed two models—one for during pregnancy and one for after birth—based on glucose tests, medical history, and biometric data.
- The models showed strong predictive ability, with the antenatal model achieving an AUC of 0.76 and the postnatal model an AUC of 0.85, indicating they can effectively identify women at risk for T2DM; however, further validation is necessary before they can be widely used.
Preconception interventions, specifically addressing general health, lifestyle behaviours and weight management, are limited despite their importance in optimising women's health. The objective of this study is to evaluate the engagement and acceptability of OptimalMe, a digital preconception intervention. Participants, ( = 298) Australian women aged 18-44 with private health insurance planning to conceive within 12 months, received a standardised intervention, including access to a digital healthy lifestyle platform (educational materials, behaviour change activities, and self-monitoring resources), ongoing text messaging, and remotely delivered health coaching (two appointments) with randomised delivery methods (telephone/videoconference).
View Article and Find Full Text PDF