Giving birth in a birth centre may be as safe for some obese women who have given birth before as it is for those with a lower Body Mass Index (BMI).
A new study, published in PLOS ONE and funded by the National Institute for Health Research (NIHR), has shown that, for women with a BMI between 35 and 40 who have given birth before and are otherwise healthy, planning birth in an alongside midwifery unit (AMU) can be just as safe as for women with a lower BMI.
Working with a network of midwives in AMUs across the UK, as part of the UK Midwifery Study System (UKMidSS), researchers at the NPEU, led by Dr Rachel Rowe, identified and collected information about all 1,122 severely obese pregnant women (with a BMI over 35kg/m2) who received labour care in AMUs, and 1,949 comparison women with a lower BMI who were looked after in the same units.
NPEU Senior Researcher, and Head of UKMidSS, Rachel Rowe will be at the 12th International Normal Labour and Birth Research Conference in Grange Over Sands. Rachel will be presenting a poster outlining the results of the UKMidSS Severe Obesity Study on outcomes for severely obese women admitted to alongside midwifery units. She will also be presenting a paper on behalf of NPEU researchers Jennifer Hollowell, Yangmei Li and Kathryn Bunch, comparing outcomes for women planning birth in alongside and freestanding midwifery units. If you attend the conference, do come and say hello.
NPEU Senior Researcher, and Head of UKMidSS, Rachel Rowe will be at the 31stICM Triennial Congress in Toronto, Canada from 18-22 June 2017. Rachel will be giving a presentation entitled: Severely obese women admitted to midwifery Units in the UK- the first UK midwifery Study System (UKMidSS) study, a national collaboration between midwives and researchers. Work on birth place settings, which involved Kirstie Coxon, Alison Chisholm and NPEU researchers Reem Malouf, Rachel Rowe and Jennifer Hollowell, will also be shared in a presentation entitled: Birth place preferences, choices and decision-making: A qualitative evidence synthesis using a ‘best fit’ framework approach. If you attend the conference, come and say hello!