Literature DB >> 30497110

Validation of data submitted by the treating surgeon in the Victorian Audit of Surgical Mortality.

Dylan Hansen1, Emma Hansen2, Claudia Retegan1, Julia Morphet2, Charles Barry Beiles1.   

Abstract

BACKGROUND: The Victorian Audit of Surgical Mortality (VASM) seeks to peer review all deaths associated with surgical care in Victoria, Australia. The effectiveness of the VASM as an educational and quality improvement tool is dependent on the accuracy of source data it receives. We aimed to examine the accuracy and quality of source data provided by the treating surgeon for peer review, and the inter-rater concordance level between the external validator findings and the treating surgeon.
METHODS: Of the 629 cases that completed the VASM audit second-line peer review process over a 4-year period (from 1 July 2012 to 30 June 2016), a total of 32 (5%) were randomly selected for the external validation process. The blinded external validator was impartial to the VASM audit, and was provided only de-identified patient medical records. The analysis for the checked and validated data points and their concordance was determined using Gwet's agreement coefficient, which provides a stable inter-rater reliability coefficient not affected by prevalence and marginal probability.
RESULTS: The inter-rater concordance analysis suggested that there is a high level of agreement (82.9% overall) between the treating surgeon and external validator. The use of thromboembolism deterrent stockings was the only variable where agreement was poor (52.4%) with a Gwet score of 0.10 (-0.40 to 0.60).
CONCLUSION: The inter-rater concordance analysis results support the validity of the VASM process, which is dependent on the accuracy of data submitted by the treating surgeon.
© 2018 Royal Australasian College of Surgeons.

Entities:  

Keywords:  clinical audit; healthcare quality assurance; mortality; surgery; validity

Mesh:

Year:  2018        PMID: 30497110     DOI: 10.1111/ans.14910

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  1 in total

1.  Homogeneity score test of AC1 statistics and estimation of common AC1 in multiple or stratified inter-rater agreement studies.

Authors:  Chikara Honda; Tetsuji Ohyama
Journal:  BMC Med Res Methodol       Date:  2020-02-05       Impact factor: 4.615

  1 in total

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