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Episode 194 - Monitoring your baby in labour

Melanie welcomes back Dr. Kirsten Small, author of the book Monitoring Your Baby in Labor, an evidence-based guide to help you plan your birth, to delve deep into the culture, safety, benefits, and potential side effects of fetal monitoring during labor. How your baby will be monitored in labour has both risks and benefits and the decision is YOURS to make. In order to make an informed decision you have to KNOW. This episode will grow your knowledge so you can make informed decisions.

Dr Kirsten Small is an Academic specialising in foetal monitoring and a retired obstetrician. Her work is accessible to anyone making decisions about foetal monitoring and we encourage you to explore:

Book sales here

The blog here

Join Kirsten's newsletter here

This episode has been generously sponsored by Poppy Child from @popthatmumma. She is offering great birth rebellion listeners 25% off the Birth box which includes the oxytocin bubble tracks. Use the code Melanie at the check out to claim your discount. Just go to hypnobirthing-positive-birth.com/birthbox 

You can watch this episode on Youtube here

Disclaimer

The information and resources provided on this podcast does not, and is not intended to, constitute or replace medical or midwifery advice. Instead, all information provided is intended for education, with it’s application intended for discussion between yourself and your care provider and/or workplace if you are a health professional.

The Great Birth Rebellion podcast reserves the right to supplement, edit, change, delete any information at any time. Whilst we have tried to maintain accuracy and completeness of information, we do not warrant or guarantee the accuracy or currency of the information. The podcast accepts no liability for any loss, damage or unfavourable outcomes howsoever arising out of the use or reliance on the content.

This podcast is not a replacement for midwifery or medical clinical care.

The transcript below was generated with ai and may contain errors.