The Clinical Reality of the First Minutes
Newborn survival is determined by the adequacy of clinical response within a narrow physiological window, commonly referenced in neonatal resuscitation literature as the “Golden Minute.” Within this interval, a health worker must correctly assess respiratory effort, initiate stimulation or ventilation where indicated, and escalate intervention if the newborn fails to respond, all while heart rate and oxygenation are declining in real time. The World Health Organization and UNICEF’s Every Newborn Action Plan attributes the majority of newborn deaths to three largely preventable causes: intrapartum-related complications (including birth asphyxia), prematurity, and infection.
The protocols governing this response are well established and widely taught. The more persistent challenge, as a substantial body of global health literature shows, is not protocol knowledge but protocol execution under pressure.
The Limits of Didactic Instructions
A widely cited Lancet-published evaluation of WHO newborn-care training found that classroom instruction alone produced limited improvement in actual neonatal mortality outcomes. A finding echoed across the Lancet’s Every Newborn Series, which has repeatedly linked newborn survival less to what health workers are taught and more to whether that knowledge is reliably translated into bedside performance.
This distinction matters more in newborn care than in most other clinical domains, for two compounding reasons. First, the consequence of a delayed or incorrect response is immediate and frequently irreversible. Second, skills that are rarely exercised are subject to measurable decay over time; a pattern documented consistently in resuscitation training research. The result, as WHO and UNICEF have both noted, is a global newborn health workforce that is often knowledgeable in principle but under-rehearsed in hands-on skills.
What the Evidence Shows
Simulation-based training was developed specifically to close this gap, and the evidence base is now substantial. PRONTO International, a simulation and team-training model developed for limited-resource settings, demonstrated in a cluster-randomised trial in rural Kenya a significant reduction in neonatal and perinatal mortality in facilities using simulation-based training compared with standard practice. In India’s Bihar state, nurses trained through PRONTO’s simulation model sustained core neonatal resuscitation skills over time in a way that conventional one-off training typically fails to achieve. In Tanzania, a programme of frequent, brief, on-site newborn resuscitation simulation, delivered in three- to five-minute sessions directly in the labour ward, was associated with a statistically significant fall in 24-hour neonatal mortality. A comparable low-dose, high-frequency training model implemented across maternity units in Ghana was associated with a 56% reduction in newborn deaths and a 50% reduction in intrapartum stillbirths in participating facilities.
The pattern across this literature is consistent: simulation works not as a one-time event, but through deliberate, repeated practice, structured facilitator-led debriefing against defined clinical standards, and, critically, the development of team-based competencies. In a real newborn emergency, outcomes rarely hinge on one clinician’s technical skill alone. They depend on whether a care team recognises the emergency, communicates without ambiguity, and executes assigned roles without delay, competencies more associated with team-training models adapted from aviation and critical care than with conventional clinical pedagogy, and ones that simulation is uniquely positioned to build and assess.
Why a Dedicated Simulation Environment Is Required
This evidence also points to a practical conclusion: simulation-based training is only as effective as the environment in which it takes place. Scenario design must reflect the specific causes of newborn mortality relevant to the local context. Facilitation requires personnel trained in both neonatal clinical care and structured debriefing methodology. Equipment must be realistic enough to produce transferable procedural learning. These conditions are difficult to meet in ad hoc or generalist training settings, which is the operational case for a dedicated, purpose-built facility.
The CeNHRI Skills and Simulation Hub
This is the function served by the CeNHRI Skills and Simulation Hub, established within the Centre for Newborn Health Research and Innovation. The Hub provides a structured simulation environment for competency-based training across emergency response, including neonatal resuscitation, ventilation and airway management, and routine newborn care, such as Kangaroo Mother Care and infection prevention, using realistic manikins, standardised scenarios and facilitator-led debriefing.
For health facilities, training institutions and organisations implementing newborn health programmes, the Hub addresses a gap well documented in the global literature: the absence, in most training pathways, of structured, repeated opportunity to convert clinical knowledge into reliable clinical performance. Its relevance extends beyond individual skill-building to institutional quality improvement, offering a mechanism through which facilities can train and periodically reassess newborn-care competencies across their clinical workforce.
Conclusion
Improving newborn survival in Nigeria will not be achieved through the dissemination of clinical guidelines alone. The global evidence, from WHO and UNICEF’s Every Newborn framework, from Lancet-published trials, and from simulation programmes implemented across Kenya, India, Tanzania and Ghana, points to the same conclusion: health workers need structured, repeated opportunity to rehearse the execution of what they already know. The CeNHRI Skills and Simulation Hub is positioned to provide exactly that environment, translating an increasingly well-established body of evidence into practical, sustained capability for Nigeria’s newborn care workforce.
Dr Ogunjobi Dora,
Technical Assistant and Simulation Hub Manager, CeNHRI
