Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2004:110:9-14.

Classifying clinical pathways

Affiliations
  • PMID: 15853245

Classifying clinical pathways

Leentje De Bleser et al. Stud Health Technol Inform. 2004.

Abstract

Background: Clinical pathways are commonly developed for homogenous patient groups. We were wondering if the traditional patient classification systems could be used for classifying clinical pathways.

Methodology: To examine the utility of patient classification systems for clinical pathways, a sample of 13 clinical pathways was analyzed, involving a total of 412 patients. Three classification systems were tested: International Classification of Diseases, Ninth Revision (ICD9-CM), Clinical Coding System (CCS) data and All-Patient Redefined Diagnosis Related Groups (APR-DRG).

Results: Categorization with ICD9-CM and CCS shows rather wide variation. However, when restricting for the principal codes, CCS classification shows an almost homogeneous relationship with clinical pathways. APR-DRG's are already corrected for secondary procedures and are difficult to assess. Categorization with the Risk Of Mortality (ROM) is more homogeneous than with the Severity Of Illness (SOI).

Conclusion: Patient groups in clinical pathways are rather heterogeneous. When restricting for the principal procedures, the strongest relationship seems to exist between clinical pathways and CCS. Further research is needed to refine this relationship.

PubMed Disclaimer

Publication types

MeSH terms

LinkOut - more resources