Development and validation of a novel tool for identification and categorization of non-technical errors associated with surgical mortality.

ABSTRACT:

Background

Up to half of all surgical adverse events are due to non-technical errors, making non-technical skill assessment and improvement a priority. No specific tools are available to retrospectively identify non-technical errors that have occurred in surgical patient care. This original study aimed to develop and provide evidence of validity and inter-rater reliability for the System for Identification and Categorization of Non-technical Error in Surgical Settings (SICNESS).

Methods

A literature review, modified Delphi process, and two pilot phases were used to develop and test the SICNESS tool. For each pilot, 12 months of surgical mortality data from the Australian and New Zealand Audit of Surgical Mortality were assessed by two independent reviewers using the SICNESS

SUBMITTER: Ey JD 

PROVIDER: S-EPMC11488386 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature