Solis-Trapala, Ivonne L. and Carthey, J. and Farewell, Vernon T. and de Leval, M. R. (2007) Dynamic modelling in a study of surgical error management. Statistics in Medicine, 26 (28). pp. 5189-5202. ISSN 1097-0258Full text not available from this repository.
We demonstrate the use of dynamic longitudinal models to investigate error management in cardiac surgery. Case study data were collected from a multicentre study of the neonatal arterial switch operation (ASO). Information on two types of negative events, or ‘errors’, observed during surgery, major and minor events, was extracted from case studies. Each event was judged to be recovered from (compensated) or not (uncompensated). The aim of the study was to model compensation given the occurrence of past events within a case. Two models were developed, one for the probability of compensating for a major event and a second model for the probability of compensating for a minor event. Analyses based on dynamic logistic regression models suggest that the total number of preceding minor events, irrespective of compensation status, is negatively related with the ability to compensate for major events. The alternative use of random effects models is investigated for comparison purposes.
|Journal or Publication Title:||Statistics in Medicine|
|Uncontrolled Keywords:||arterial switch operation • dynamic conditional logistic regression • dynamic logistic regression with random effects • surgical error management|
|Subjects:||R Medicine > R Medicine (General)|
|Departments:||Faculty of Health and Medicine > Medicine|
|Deposited By:||Dr Ivonne Solis-Trapala|
|Deposited On:||26 May 2009 16:29|
|Last Modified:||17 Jan 2017 01:30|
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