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Diagnosis clusters for emergency medicine.

Publication ,  Journal Article
Travers, DA; Haas, SW; Waller, AE; Tintinalli, JE
Published in: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
December 2003

Aggregated emergency department (ED) data are useful for research, ED operations, and public health surveillance. Diagnosis data are widely available as The International Classification of Diseases, version, 9, Clinical Modification (ICD-9-CM) codes; however, there are over 24,000 ICD-9-CM code-descriptor pairs. Standardized groupings (clusters) of ICD-9-CM codes have been developed by other disciplines, including family medicine (FM), internal medicine (IM), inpatient care (Agency for Healthcare Research and Quality [AHRQ]), and vital statistics (NCHS). The purpose of this study was to evaluate the coverage of four existing ICD-9-CM cluster systems for emergency medicine.In this descriptive study, four cluster systems were used to group ICD-9-CM final diagnosis data from a southeastern university tertiary referral center. Included were diagnoses for all ED visits in July 2000 and January 2001. In the comparative analysis, the authors determined the coverage in the four cluster systems, defined as the proportion of final diagnosis codes that were placed into clusters and the frequencies of diagnosis codes in each cluster.The final sample included 7,543 visits with 19,530 diagnoses. Coverage of the ICD-9-CM codes in the ED sample was: AHRQ, 99%; NCHS, 88%; FM, 71%; IM, 68%. Seventy-six percent of the AHRQ clusters were small, defined as grouping <1% of the diagnosis codes in the sample.The AHRQ system provided the best coverage of ED ICD-9-CM codes. However, most of the clusters were small and not significantly different from the raw data.

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Published In

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

DOI

EISSN

1553-2712

ISSN

1069-6563

Publication Date

December 2003

Volume

10

Issue

12

Start / End Page

1337 / 1344

Related Subject Headings

  • International Classification of Diseases
  • Humans
  • Emergency Service, Hospital
  • Emergency Medicine
  • Emergency & Critical Care Medicine
  • Diagnosis
  • Cluster Analysis
  • 3202 Clinical sciences
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Travers, D. A., Haas, S. W., Waller, A. E., & Tintinalli, J. E. (2003). Diagnosis clusters for emergency medicine. Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine, 10(12), 1337–1344. https://doi.org/10.1111/j.1553-2712.2003.tb00008.x
Travers, Debbie A., Stephanie W. Haas, Anna E. Waller, and Judith E. Tintinalli. “Diagnosis clusters for emergency medicine.Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine 10, no. 12 (December 2003): 1337–44. https://doi.org/10.1111/j.1553-2712.2003.tb00008.x.
Travers DA, Haas SW, Waller AE, Tintinalli JE. Diagnosis clusters for emergency medicine. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2003 Dec;10(12):1337–44.
Travers, Debbie A., et al. “Diagnosis clusters for emergency medicine.Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine, vol. 10, no. 12, Dec. 2003, pp. 1337–44. Epmc, doi:10.1111/j.1553-2712.2003.tb00008.x.
Travers DA, Haas SW, Waller AE, Tintinalli JE. Diagnosis clusters for emergency medicine. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2003 Dec;10(12):1337–1344.
Journal cover image

Published In

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

DOI

EISSN

1553-2712

ISSN

1069-6563

Publication Date

December 2003

Volume

10

Issue

12

Start / End Page

1337 / 1344

Related Subject Headings

  • International Classification of Diseases
  • Humans
  • Emergency Service, Hospital
  • Emergency Medicine
  • Emergency & Critical Care Medicine
  • Diagnosis
  • Cluster Analysis
  • 3202 Clinical sciences
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences