South African Pediatric Morbidity Data Informing Simulation Training Design

A narrative review of 28 studies from 2000 onward analyzed pediatric morbidity and mortality in South African hospitals. The findings, including that respiratory illnesses accounted for approximately 42% of admissions, informed the design of five simulation-based learning experiences for emergency medicine training. The dataset is a 64.8 KB DOCX file authored by Michelle Myburgh and shared under a CC-BY-4.0 license.

Use Cases

• Designing pediatric emergency training curricula based on the reported disease burden patterns.
• Developing simulation scenarios for respiratory failure and difficult airway management based on its high prevalence.
• Creating context-relevant learning modules for severe acute malnutrition, a frequent comorbidity mentioned.
• Informing the selection of training priorities for postgraduate medical programs based on local healthcare realities.

Strengths

• Data is informed by a review of 28 studies, providing a structured evidence base.
• Findings include specific admission percentages for key conditions like respiratory (42%) and neurological (12%) illnesses.
• The approach is explicitly designed for a specific geographic and clinical context (South Africa, pediatric emergency).

Limitations

• The dataset is a 64.8 KB DOCX file, indicating a very limited textual scope, likely a review article or report.
• Row count and column-level documentation are unknown, limiting suitability assessment for structured data analysis.
• The primary content is a narrative review summary, not raw patient-level or simulation performance data.

Provenance

Source

figshare, authored by Michelle Myburgh.

Collection Method

A narrative review of publications from 2000 onward using multiple databases.

Time Range

Publications from 2000 onward were reviewed.

Freshness

Last updated 2026-04-17 04:28:29.

Geography

South Africa, specifically data from its hospitals.