SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Becher RD, Meredith JW, Chang MC, Hoth JJ, Beard HR, Miller PR. J. Am. Coll. Surg. 2012; 214(2): 156-163.

Affiliation

Acute Care Surgery Service, Department of General Surgery, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA. rbecher@wfubmc.edu

Copyright

(Copyright © 2012, American College of Surgeons, Publisher Elsevier Publishing)

DOI

10.1016/j.jamcollsurg.2011.11.001

PMID

22153352

Abstract

BACKGROUND: As emergency general surgery (EGS) evolves, an EGS patient-tracking database (EGS registry [EGSR]) similar to the National Trauma Data Bank (NTDB) will be essential to study outcomes and improve care. The goal of this study was to establish diagnostic ICD-9 codes to define EGS patients. The hypothesis was that creating standardized ICD-9-based inclusion criteria would facilitate patient identification for an EGSR and aid in its ongoing development. STUDY DESIGN: We conducted a retrospective review of EGS admissions over a 9-month period to define ICD-9 diagnostic codes of patients admitted to our EGS service. Subsequently, prospective data were collected into the EGSR by testing ICD-9-based inclusion criteria over 1 month. Patient, hospital, and severity scoring variables, as well as quality assurance information, were identified.

RESULTS: We identified 959 admissions to the EGS service over 9 months with 306 ICD-9 diagnosis codes that define EGS patients; the prospective population of the EGSR confirmed feasibility of ICD-9-based inclusion criteria. The EGSR captures 107 data points and 33 comorbidities per patient over 11 categories, akin to the 10 NTDB categories.

CONCLUSIONS: Following the model of the NTDB, we have successfully completed creation and initial implementation of an EGSR by using ICD-9-based inclusion criteria. Our comprehensive EGSR creates a prospective data-collection modality to capture and define EGS patients. A uniform patient-tracking EGSR, akin to the NTDB, will advance the science of acute care surgery, improve EGS patient outcomes, and facilitate multi-institutional collaboration.


Language: en

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print