The Dawes Redman system, used for CTG monitoring in pregnancy, aims to predict adverse outcomes. Recent research indicated a low overall accuracy of 54.4%, with high negative predictive values but low positive predictive values, especially in high-risk scenarios, questioning its effectiveness and endorsement in clinical guidelines.
Fetal heart rate monitoring often shows abnormal patterns that don’t reflect an underlying problem for the fetus. Research on fetal blood sampling has been limited. A recent study found weak correlations between fetal blood pH levels, umbilical cord pH levels and Apgar scores. It is vital that further research takes into account how fetal physiology actually works, rather than repeating inaccurate assumptions.
Central fetal monitoring systems gather data from CTG machines and show it in a central place. While aimed at improving outcomes this has not been proven in research. Midwives reported disruptions in response to what was seen at the central monitor, leading to altered care practices focused on documentation over support for birthing women. It is time to pause and think, rather than continue to accept the introduction of these systems.
A Japanese research team compared human and artificial intelligence performance in analyzing CTG data to predict perinatal asphyxia. Clinicians slightly outperformed AI in accurately diagnosing affected babies. However, limitations raise concerns, emphasising the essential role of healthcare professionals over machines in maternity services.
Clinical Decision Support Systems (CDSS) aim to enhance maternity care by improving decision-making consistency and safety. A systematic review points out concerns over potential biases and the effectiveness of CDSS amid varying clinical contexts. More robust research is needed.
Today’s post reflects on a 1959 trial concerning “fetal distress”. It highlights findings that meconium was a critical indicator of poor outcomes, while abnormal fetal heart rates weren’t reliably predictive. Should we be reevaluating current obsessions with CTG use and focusing on alternative clinical markers?
In a trial comparing fetal blood sampling to digital fetal scalp stimulation for assessing fetal wellbeing, recruitment fell short, concluding early after just 534 participants. Despite showing a significantly lower caesarean section rate with scalp stimulation, the small sample limits the findings. The irony of guidelines undermining evidence development is discussed.
A comprehensive literature review by researchers in the UK examined the safety of CTG monitoring in maternity care, identifying prominent system-level issues, including unsafe organizational cultures and inadequate staffing. It is import to focus on staffing, supportive environments, and respectful care to improve outcomes rather than unproven practices.
Informed consent is a critical principle in healthcare. A recent Australian survey revealed that many women lacked sufficient information and choice about fetal monitoring methods. Only 35% reported being asked for consent. This highlights a significant issue in maternity care, and it is well past time it was addressed.
A recent review examined the relationship between abnormal heart rate patterns in CTG monitoring and various neonatal outcomes. While some links were identified, particularly with hypoxic ischaemic encephalopathy, overall connections were weak. The evidence suggests CTG monitoring may not be as clinically useful as presumed, prompting calls for alternative monitoring methods.
Birth Small Talk 