BACKGROUND: Epidemiology and medical care appraisal of intensive care medicine relies on the homogeneity of information systems. This work is about a collaborative database related to intensive care units in Paris and its suburb. METHODS: A college of intensivists defined a standard dataset about stays, outcomes, severity of illness, diagnoses and work load, which are collected and analysed by a data management center. A quality control of the database was performed on a random sample of 199 stays. RESULTS: In 1996, 25 intensive care units participated in the database which encompassed more than 35,000 stays. The control of data quality showed a good reliability of data about stays, severity and workload but reproducibility of diagnosis coding has to be improved by means of more accurate coding guidelines. CONCLUSION: This database of case-mix and outcome information allows comparison and medical care appraisal of intensive care units.
BACKGROUND: Epidemiology and medical care appraisal of intensive care medicine relies on the homogeneity of information systems. This work is about a collaborative database related to intensive care units in Paris and its suburb. METHODS: A college of intensivists defined a standard dataset about stays, outcomes, severity of illness, diagnoses and work load, which are collected and analysed by a data management center. A quality control of the database was performed on a random sample of 199 stays. RESULTS: In 1996, 25 intensive care units participated in the database which encompassed more than 35,000 stays. The control of data quality showed a good reliability of data about stays, severity and workload but reproducibility of diagnosis coding has to be improved by means of more accurate coding guidelines. CONCLUSION: This database of case-mix and outcome information allows comparison and medical care appraisal of intensive care units.
Authors: François Barbier; Antoine Roux; Emmanuel Canet; Patricia Martel-Samb; Philippe Aegerter; Michel Wolff; Bertrand Guidet; Elie Azoulay Journal: Intensive Care Med Date: 2014-09-19 Impact factor: 17.440
Authors: Ariane Boumendil; Eric Maury; Ingrid Reinhard; Laurence Luquel; Georges Offenstadt; Bertrand Guidet Journal: Intensive Care Med Date: 2004-02-24 Impact factor: 17.440
Authors: Benjamin G Chousterman; Romain Pirracchio; Bertrand Guidet; Philippe Aegerter; Hervé Mentec Journal: PLoS One Date: 2016-09-14 Impact factor: 3.240