About 1.8 million stillbirths and newborn deaths occur annually due to oxygen deprivation, but up to 70% of these deaths are avoidable by effective ventilation at birth. Unfortunately, one in five of the best-trained health workers fail to effectively ventilate babies, and those that do experience a rapid decline in proficiency.
Every 30-second delay to ventilate a baby at birth increases the risk of death by 16%. The common causes of ineffective ventilation are: (1.) failed seal at the face-mask, (2.) blocked airways, and (3.) incorrect ventilation frequency.
The Augmented Infant Resuscitator (AIR) addresses these challenges. AIR measures and provides instant feedback on ventilation quality to enable self-training, skills retention, rapid corrective feedback during ventilation, and data acquisition vital for program evaluations.
A feasibility and acceptability trial of the AIR showed: excellent breath rate agreement between AIR and video recordings (Pearson coefficient of 0.8449); agreement between a Marquet Servo-i Pediatric ventilator and measurements by AIR; and significant user-acceptability and demand for AIR.
The project will determine the impact of AIR’s real-time feedback on skills acquisition and retention, and its attributable effect on resuscitation quality. After small-scale manufacture, the team will collect post-deployment use and failure mode data, which is vital for regulatory approvals and wide-scale adoption.