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Dynamic modelling in a study of surgical error management

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Dynamic modelling in a study of surgical error management. / Solis-Trapala, Ivonne L.; Carthey, J.; Farewell, Vernon T. et al.
In: Statistics in Medicine, Vol. 26, No. 28, 10.12.2007, p. 5189-5202.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Solis-Trapala, IL, Carthey, J, Farewell, VT & de Leval, MR 2007, 'Dynamic modelling in a study of surgical error management', Statistics in Medicine, vol. 26, no. 28, pp. 5189-5202. https://doi.org/10.1002/sim.2886

APA

Solis-Trapala, I. L., Carthey, J., Farewell, V. T., & de Leval, M. R. (2007). Dynamic modelling in a study of surgical error management. Statistics in Medicine, 26(28), 5189-5202. https://doi.org/10.1002/sim.2886

Vancouver

Solis-Trapala IL, Carthey J, Farewell VT, de Leval MR. Dynamic modelling in a study of surgical error management. Statistics in Medicine. 2007 Dec 10;26(28):5189-5202. doi: 10.1002/sim.2886

Author

Solis-Trapala, Ivonne L. ; Carthey, J. ; Farewell, Vernon T. et al. / Dynamic modelling in a study of surgical error management. In: Statistics in Medicine. 2007 ; Vol. 26, No. 28. pp. 5189-5202.

Bibtex

@article{f6eae55df5014dc0ba52b12bf14c245a,
title = "Dynamic modelling in a study of surgical error management",
abstract = "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 {\textquoteleft}errors{\textquoteright}, 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.",
keywords = "arterial switch operation • dynamic conditional logistic regression • dynamic logistic regression with random effects • surgical error management",
author = "Solis-Trapala, {Ivonne L.} and J. Carthey and Farewell, {Vernon T.} and {de Leval}, {M. R.}",
year = "2007",
month = dec,
day = "10",
doi = "10.1002/sim.2886",
language = "English",
volume = "26",
pages = "5189--5202",
journal = "Statistics in Medicine",
issn = "1097-0258",
publisher = "John Wiley and Sons Ltd",
number = "28",

}

RIS

TY - JOUR

T1 - Dynamic modelling in a study of surgical error management

AU - Solis-Trapala, Ivonne L.

AU - Carthey, J.

AU - Farewell, Vernon T.

AU - de Leval, M. R.

PY - 2007/12/10

Y1 - 2007/12/10

N2 - 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.

AB - 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.

KW - arterial switch operation • dynamic conditional logistic regression • dynamic logistic regression with random effects • surgical error management

U2 - 10.1002/sim.2886

DO - 10.1002/sim.2886

M3 - Journal article

VL - 26

SP - 5189

EP - 5202

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 1097-0258

IS - 28

ER -