Irish Paediatric Critical Care Audit (IPCCA)
This audit provides a complete account of activity and outcomes in all paediatric intensive care units providing critical care to children in the ROI. In addition to data from specialised paediatric critical care units and from transfer and retrieval services that traditionally provide data to PICANet (based in the UK), this audit also includes data from adult ICUs and the regional Paediatric High Dependency Unit at UHL, giving a complete description of national activity.
**Purpose:** The overall purpose of the IPCCA is to improve critical care services provided to paediatric patients by measuring the quality of care and outcomes against predetermined standards, using data from the UK and the Republic of Ireland (ROI) as a whole as a benchmark.
Objectives:
Measure the quality of care in CHI at Crumlin and CHI at Temple Street, and benchmark this against other PCCUs across the UK
Provide data on the epidemiology and complexity of care provided for each patient. This has
**Coverage:** National audit with data collection from public hospitals with Paediatric critical care units, the regional Paediatric High Dependency Unit at University Hospital Limerick (UHL) and children aged < 16 treated in adult ICU.
Under consideration: regional paediatric high dependency units and intensive
Health Category
Language
Access Rights
- Organization
- National Office of Clinical Audit
- License
- Creative Commons Attribution
Metadata
| Field | Value |
|---|---|
| Access Rights | http://publications.europa.eu/resource/authority/access-right/NON_PUBLIC |
| Frequency | http://publications.europa.eu/resource/authority/frequency/QUARTERLY |
| Id | 509a4da8-b63b-459e-a7fb-8a9a7a25ec37 |
| Identifier | NDC-0072 |
| Isopen | True |
| Issued | 2015-01-01 |
| License Id | cc-by |
| License Title | Creative Commons Attribution |
| License Url | http://www.opendefinition.org/licenses/cc-by |
| Max Typical Age | 75 |
| Metadata Created | 2026-03-19T17:17:12.293721 |
| Metadata Modified | 2026-03-19T17:17:12.293724 |
| Min Typical Age | 18 |
| Modified | 2024-06-08 |
| Name | irish-paediatric-critical-care-audit-ipcca-72 |
| Notes | This audit provides a complete account of activity and outcomes in all paediatric intensive care units providing critical care to children in the ROI. In addition to data from specialised paediatric critical care units and from transfer and retrieval services that traditionally provide data to PICANet (based in the UK), this audit also includes data from adult ICUs and the regional Paediatric High Dependency Unit at UHL, giving a complete description of national activity. **Purpose:** The overall purpose of the IPCCA is to improve critical care services provided to paediatric patients by measuring the quality of care and outcomes against predetermined standards, using data from the UK and the Republic of Ireland (ROI) as a whole as a benchmark. Objectives: Measure the quality of care in CHI at Crumlin and CHI at Temple Street, and benchmark this against other PCCUs across the UK Provide data on the epidemiology and complexity of care provided for each patient. This has **Coverage:** National audit with data collection from public hospitals with Paediatric critical care units, the regional Paediatric High Dependency Unit at University Hospital Limerick (UHL) and children aged < 16 treated in adult ICU. Under consideration: regional paediatric high dependency units and intensive |
| Num Resources | 0 |
| Num Tags | 3 |
| Number Of Records | 1918400 |
| Number Of Unique Individuals | 249766 |
| Private | False |
| Provenance | Each hospital/ transport organisation submits data to PICANet via a secure web-based portal. Data submission can involve direct entry of patient data or monthly upload of a data file from an existing clinical information system. The dataset is frozen on 31 March annually. Data for children admitted to adult ICU’s is provided by NOCA’s INICUA ICNARC dataset. |
| Title | Irish Paediatric Critical Care Audit (IPCCA) |
| Type | dataset |
No history available for this dataset.