Respiratory Care for the Newborns in Resource-limited settings
Speakers: Prof Daniele Trevisanuto (Italy); Prof Matthew Blennow (Sweden); Dr Radhika Singh (South Africa). Chairs: Dr Emanuela Zannin (Italy), Prof Kodwani Kawaza (Malawi)
The PATS and ERS paediatric webinar series continues with a Respiratory Care for the Newborns in Resource-limited settings webinar on 13 April 2023.
Approximately 46% of the 5.2 million annual under-5 deaths derive from neonatal conditions commonly associated with hypoxaemia or acute respiratory distress. It has been estimated that 98% of these deaths occur in low- and middle-income countries (LMICs). Effective implementation of non-invasive respiratory support at all levels of healthcare could significantly reduce neonatal mortality. Several factors limit the widespread and effective implementation of non-invasive respiratory support in LMICs, including inadequate infrastructure, lack of proper instrumentation, shortage of skilled staff, costly disposables and difficulties in the supply of consumables and spare parts. Therefore, it is crucial to increase the awareness about the importance of improving neonatal respiratory management in LMICs, to provide educational opportunities to healthcare workers in LMICs, and to identify the most cost-effective respiratory management interventions that may be affordable and sustainable in LMICs.
The audience will learn about:
- Burden of Neonatal Respiratory Disease Worldwide;
- Strategies for neonatal resuscitation in resource-limited settings
- Devices and interventions for respiratory care in the post-natal ward
- Challenges and future opportunities for improving neonatal respiratory outcomes
Clinicians (neonatologists, pediatric pulmonologists, pulmonologists); Respiratory Therapists; Trainees; Nurses
3 lectures 15-minutes duration each and a Round table discussion 15 minutes.
Date and Time
Thursday, 13 April 2023. 18:00 PM CET/CAT
Following this webinar, participants will know the most effective interventions that may improve respiratory outcomes in resource-limited settings.