ICD-Based Diagnosis Grouping System
(DGS) for child ED visits
Download the Updated Manuscript
Download the Original Manuscript
Download the Grouping System (DGS – ICD-10) – SAS VERSION
(zip file for SAS)
Download the Grouping System (DGS- ICD-10) – EXCEL VERSION
(zip file for Excel)
Download the Grouping System (DGS – ICD-9) – SAS VERSION
(zip file for SAS)
Download the Grouping System (DGS – ICD-9) – EXCEL VERSION
(zip file for Excel)
A meaningful classification of pediatric diagnoses seen in emergency departments can provide a systematic method to describe, aggregate, and compare trends within and across institutions to facilitate clinical research and quality improvement.
The Diagnosis Grouping System (DGS) was created with twenty-one clinically relevant major diagnosis groups and seventy-seven subgroups that are largely based on body system or body region involved. The DGS was first developed to account for International Classification of Disease 9th revision, Clinical Modification (ICD-9) codes. The DGS has been updated to account for ICD-10 codes.
The created ICD-based Diagnosis Grouping System is
- Clinically sensible with regard to how diagnoses are grouped;
- Comprehensive in accounting for nearly all diagnoses occurring in pediatric emergency medicine visits; and
- Parsimonious in that the number of groups developed is acceptable for descriptive and analytic purposes.
The DGS is available for SAS users and/or Excel users as two separate “zip” files located above.
Updated Manuscript Citation:
Fant C, Marin JR, Ramgopal S, Simon NE, Richards R, Olsen CS, Alessandrini EA, Alpern ER; PECARN Registry Study Group. Updated Diagnosis Grouping System for Pediatric Emergency Department Visits. Pediatr Emerg Care. 2022 May 25. doi: 10.1097/PEC.0000000000002692. Epub ahead of print. PMID: 35881008.
Original Manuscript Citation:
Alessandrini EA, Alpern ER, Chamberlain JM, Shea JA, Gorelick MH. A New Diagnosis Grouping System for Child Emergency Department Visits. Academic Emergency Medicine 2010; 17:204-213.
PECARN Disparities Working Group
Understanding and addressing healthcare disparities relies on the collection and reporting of accurate data, both in clinical care and in research. This data dictionary was developed by the PECARN Disparities Working Group to be used as a reference manual when planning the collection of data in pediatric emergency medicine research.
The data elements are grouped into three categories: Core elements are reasonable to collect on all research participants for all prospective or retrospective studies. Suggested data elements facilitate examination of disparities but may require active collection or may not be available in most electronic health records. Possible/Potential data elements require prospective collection, but may be valuable for specific types of analysis.
The PECARN Registry contains many of these data elements. The presence, consistency, and characterization of each data elements in the PECARN Registry is included in the data dictionary.
Enhancing Diverse Perspectives
The following tool has been created as a succinct guide to help investigators develop the Enhancing Diverse Perspectives (EDP) plan for grant applications.
Miscellaneous
Definition of Terms
- EDC: EMSC Data Center: the data coordinating center for PECARN
- EIIC: EMSC Innovation and Improvement and Improvement Center
- MCHB: Maternal and Child Health Bureau
- HRSA: Health Resources and Services Administration
- HEDA: Hospital Emergency Department Affiliate: a hospital participating in the PECARN research network
- NDDP: Network Development Demonstration Project: a previous name for the PECARN network
- RNC: Research Node Centers: the six organizational nodes that oversee the HEDAs
Helpful Links
- CDC National Center for Health Statistics (NCHS)
- Emergency Medical Services for Children Innovation and Improvement Center (EIIC)
- EIIC Toolkits
- Health Resources and Services Administration (HRSA)
- National EMS Information System (NEMSIS)
- PECARN eRoom (members only)
- The Pediatric Trauma Society
- PECARN Policies
- PECARN Logic Model