Talk to the Veterans Crisis Line now
U.S. flag
An official website of the United States government

VA Health Systems Research

Go to the VA ORD website
Go to the QUERI website

HSR&D Citation Abstract

Search | Search by Center | Search by Source | Keywords in Title

Improving the identification of postoperative wound dehiscence missed by the Patient Safety Indicator algorithm.

Borzecki AM, Cevasco M, Mull H, Shin M, Itani K, Rosen AK. Improving the identification of postoperative wound dehiscence missed by the Patient Safety Indicator algorithm. American journal of surgery. 2013 Jun 1; 205(6):674-80.

Dimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.

If you have VA-Intranet access, click here for more information vaww.hsrd.research.va.gov/dimensions/

VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address.
   Search Dimensions for VA for this citation
* Don't have VA-internal network access or a VA email address? Try searching the free-to-the-public version of Dimensions



Abstract:

BACKGROUND: The Patient Safety Indicator (PSI) Postoperative Wound Dehiscence (PWD) is an administrative data-based algorithm that flags cases using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 54.61 (abdominal wall disruption reclosure). We examined how often PWD missed events and explored ways to improve event identification. METHODS: We selected 125 high-risk unflagged cases based on predicted probability and the presence of clinically relevant codes. We determined the false-negative proportion and associated reasons through chart review and calculated likelihood ratios of associated codes. RESULTS: Thirty-two percent of cases were false negatives, 60% of which lacked any abdominal wall repair codes. All individual codes had low likelihood ratios; the combination of diagnosis code 998.3x (operative wound disruption) and particular abdominal wall repair procedure codes occurred exclusively in false-negative cases (representing 24% of false-negative cases). CONCLUSIONS: Among high-risk cases, the PWD algorithm frequently missed events. Coder training to clarify assignment of abdominal wall repair codes, plus adding specific code combinations to the algorithm, would improve event identification.





Questions about the HSR website? Email the Web Team

Any health information on this website is strictly for informational purposes and is not intended as medical advice. It should not be used to diagnose or treat any condition.