Introducing Fetal Scalp Stimulation as an Adjunct to Intermittent Auscultation in Low-Resource Settings.

Overview

This study is a pilot study taking place in Moshi, Tanzania at the Kilimanjaro Christian Medical Centre (KCMC). The study aims to introduce fetal scalp stimulation into the intermittent auscultation protocols at KCMC, and to validate whether or not a handheld Doppler device can perform the fetal scalp stimulation test accurately.

Background: Each year an estimated 2.6 million stillbirths occur globally. Nearly half, 1.2 million, of these occur intrapartum and an additional 650,000 children are born alive but die soon after birth due to birth asphyxia which is caused by hypoxia during labor. The vast majority of these deaths occur in low- and middle-income countries (LMICs). In high-income countries, obstetric providers utilize electronic fetal monitoring (EFM) to monitor fetuses during labor, but controversy surrounds implementing this technology in LMICs. What observing EFM patterns has taught us is that fetuses that respond to scalp stimulation with a rise in their heart rate are essentially guaranteed to be well oxygenated. This physiologic phenomenon, known as the fetal scalp stimulation test (FSST), has potential to improve fetal monitoring in LMICs, but it has never been studied using Doppler technology. This study aims to collect information about the prevalence of fetal distress in an obstetric referral hospital, to test the sensitivity and specificity of FSST with a Doppler device, and to collect pilot data using FSST as an adjunct to improve fetal monitoring. The outcome of the study would be to identify a trend in cesarean delivery rate reduction, intrapartum stillbirth, and birth asphyxia. The vast majority of acute intrapartum-related morbidity and mortality occurs in low- and middle-income countries (LMIC) where the care of mothers and fetuses during labor remains under studied as is our understanding of how to implement and evaluate programs that address the delivery of quality care. Providing safe and effective obstetric care requires the development of processes that are appropriate for each clinical setting considering resources, burden of disease, and cultural factors as well as implementing those processes in an effective way so that they become standard practice over time. Internationally midwives employ intermittent auscultation (IA) to monitor fetuses with Pinard stethoscopes or Doppler devices. In high-resource settings providers rely on computerized electronic fetal monitoring (EFM) to identify signs of fetal acidosis, although this has not been shown superior to IA. Recently, the Federation International of Gynecology and Obstetrics published recommendations for adjunctive tests to fetal monitoring, but the recommendations were limited to the high-resource EFM paradigm. On this subject, an expert on fetal physiology from Nigeria stated, "it is imperative that appropriate diagnostic and management modalities for fetal hypoxia be available and accessible. This is the only way the burden of perinatal morbidity and mortality can be reduced." Currently, fetal scalp stimulation (FSST) is the only low-cost, validated, adjunctive test that could be used to this end in the majority world, but it has not been studied for this purpose. STATEMENT OF THE PROBLEM Tanzania ranks as the 9th worst country for stillbirth globally experiencing 47,100 losses in 2015. Fetal monitoring at Kilimanjaro Christian Medical Center (KCMC) in Moshi, Tanzania, and countless labor wards around the world, is limited by the inability to accurately identify fetal acidosis in laboring patients. Misdiagnosis leads either to excess cesarean delivery (CD) or excess asphyxiated births. The study hypothesis is that implementing fetal scalp stimulation test (FSST) into labor protocols will reduce CD rates and improve neonatal outcomes leading to a reduction in maternal and neonatal mortality. Proving this will require a large randomized-controlled trial (RCT). The necessary first step is a proof-of-concept, feasibility study that will provide pilot data and inform future efforts.

Conditions

Interventions

Eligibility

Locations (1)

Outcomes