Rural neonatal resuscitation drills exposed repeated system failures across eight hospitals
A multicenter simulation project across a rural health system found that neonatal resuscitation readiness depended on far more than individual skill. In situ testing uncovered 67 distinct latent safety threats across eight delivery hospitals, and most of those problems appeared in more than one site. The pattern matters because neonatal emergencies often unfold in minutes, when delays in equipment access, communication, or role clarity can rapidly translate into preventable harm.
Between May 2019 and May 2023, the neonatal simulation team ran half-day training sessions for 177 interprofessional delivery room team members. The sessions combined skills stations with in situ simulations, followed by facilitated debriefs. Facilitators included neonatologists and simulation faculty trained in a Healthcare Failure Mode and Effect Analysis framework, which gave each site a structured way to identify failures, classify them, and record mitigation strategies. Rather than treating each hospital as an isolated unit, the project compared findings across the entire system.
One sentence captures the operational reality: the same vulnerabilities kept reappearing in different hospitals.
Shared latent safety threats clustered around communication, access, and newborn protocols
Of the 67 latent safety threats identified, 41, or 61.2%, were shared by more than one hospital. The remaining 26, or 38.8%, were unique to a single site. The threats were distributed across five systems categories and three team categories, suggesting that the hazards were not limited to a single weak link such as staffing or equipment storage. Instead, the simulation program exposed recurring breakdowns in how teams organized themselves, how they accessed resources, and how they executed core resuscitation tasks.
Four latent safety threats were present at 75% or more of hospitals: lack of clear newborn blood transfusion protocols, inconsistent use of closed-loop communication, inconsistent processes for accessing additional resources, and inconsistent use of a recorder. Each of those failures has direct bedside consequences. Unclear transfusion protocols can delay escalation when a newborn needs urgent blood support. Weak closed-loop communication can allow instructions to be missed or misunderstood in a rapidly changing room. Unreliable access to additional resources can slow the arrival of the right personnel or equipment. Inconsistent recorder use can leave the team without a reliable real-time account of interventions, timing, and response.
Those are not abstract defects in a checklist. They are the kinds of failures that can change the tempo of a neonatal code.
Why simulation-based clinical systems testing matters in rural delivery units
Simulation is often discussed as a way to teach technical skills, but this project used it for something broader: clinical systems testing. That distinction matters because neonatal resuscitation is a team event that depends on environment, workflow, communication, and escalation pathways as much as on airway maneuvers or ventilatory support. By staging the emergency inside the actual delivery environment, the team could see how the system behaved under pressure, not just how staff performed in a classroom.
The Healthcare Failure Mode and Effect Analysis rubric gave the process a disciplined structure. It allowed facilitators to capture not only what went wrong, but also how often it went wrong and where it recurred. In a rural health system, that cross-site comparison is especially useful. Small hospitals may face similar constraints in personnel depth, neonatal volume, and access to specialty support, so repeated threats across sites can signal a systemwide design issue rather than a local lapse.
Just as important, the project did not stop at identification. Facilitators captured mitigation strategies on follow-up, which means the exercise linked observation to operational response. That sequence turns simulation from a training event into a safety intervention.
Common themes can guide systemwide prioritization without waiting for adverse events
The authors set out to test a simple hypothesis: most latent safety threats would be common across hospitals. The data supported that expectation. For health-system leaders, the practical value lies in prioritization. When the same vulnerabilities recur across multiple delivery hospitals, leaders can direct resources toward the failures most likely to affect the largest number of births. Standardizing newborn transfusion protocols, strengthening closed-loop communication expectations, formalizing the process for summoning extra help, and assigning a reliable recorder role are all interventions that can be rolled out at the system level rather than rebuilt site by site.
The study also suggests a way for hospitals that have not yet participated in simulation testing to begin. If common themes can be identified in one rural network, similar themes may exist elsewhere even before a local adverse event makes them visible. Prospective readiness work becomes more actionable when it focuses on known failure modes instead of waiting for a rare neonatal emergency to reveal them.
A system does not need a catastrophic event to learn where it is brittle.
What the findings do and do not prove about readiness
This project shows that in situ simulation can reveal latent threats that routine training may miss. It also shows that a rural health system can use a shared framework to compare hospitals and identify patterns. What it does not establish is whether mitigation strategies reduced neonatal morbidity, improved time to intervention, or changed clinical outcomes, because those endpoints were not part of the data presented here. The study is about readiness intelligence: finding the cracks before a newborn emergency drives through them.
The larger lesson is operational rather than theoretical. Common safety threats can be mapped, counted, and grouped, and the resulting list can be used to direct implementation work where it is most needed. In a setting where birth volume may be dispersed and specialized support may be distant, that kind of advance preparation can determine whether a team spends precious seconds searching for a protocol, a recorder, or the next level of help.
For rural delivery hospitals, the message is straightforward. Simulation does more than rehearse response; it exposes the hidden systems failures that shape whether neonatal resuscitation begins smoothly or stumbles at the bedside.