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Audit data validation

Overview of attention for article published in Australian & New Zealand Journal of Surgery, December 2015
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Title
Audit data validation
Published in
Australian & New Zealand Journal of Surgery, December 2015
DOI 10.1111/ans.13416
Pubmed ID
Authors

Therese Rey-Conde, Riyaz Shakya, Jennifer Allen, Evelyn Clarke, John B North, Arkadiusz Peter Wysocki, Robert S Ware

Abstract

Surgical audits provide constructive feedback to individual surgeons, hospitals and other healthcare sector professionals. Audits identify deficiencies in treatment processes, evaluate practice trends and detect practice gaps. The credibility and validity of the Queensland Audit of Surgical Mortality (QASM) relies on the accuracy of its data. To determine the validity of routine reporting of surgical information to QASM, surgical case forms were compared against medical records (considered the gold standard). Data were extracted by a trained medical research assistant. QASM forensically reviewed 896 of a total of 5636 deaths in 20 Queensland public hospitals between 2008 and 2013. Concordance between the surgical case form and the relevant medical record was determined for 27 objective items. Overall concordance was 98.2%. The median concordance was 100% (interquartile range 87-100%). Cases with discordance were few and in these, most had only one discordant item. Discordances were mainly omissions. The QASM surgical case form is a reliable data collection tool that provides high-quality data. QASM objective data can be confidently regarded as accurate and therefore reliable for use in publications, reports and case studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Ph. D. Student 2 20%
Student > Bachelor 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 5 50%
Social Sciences 1 10%
Nursing and Health Professions 1 10%
Unknown 3 30%