Quality of data collected for severity of illness scores in the Dutch National Intensive Care Evaluation (NICE) registry.
OBJECTIVE
To analyse the quality of data used to measure severity of illness in the Dutch National Intensive Care Evaluation (NICE) registry, after implementation of quality improving procedures.


METHODS
Data were re-abstracted from the paper records of patients or the Patient Data Management System and compared to the data contained in the registry. The re-abstracted data were considered to be the gold standard.


METHODS
ICUs of nine Dutch hospitals that had been collecting data for the NICE registry for at least 1 year.


RESULTS
The mean percentages of inaccurate and incomplete data, per hospital, over all variables, were 6.1%+/-4.4 (SD) and 2.7%+/-4.4 (SD), respectively. The mean difference in severity of illness scores between registry data and re-abstracted data was 0.2 points for APACHE II and 0.4 points for SAPS II. The mean difference in predicted mortality according to APACHE II and SAPS II between registry data and re-abstracted data was 0.4% and 0.02%, respectively.


CONCLUSIONS
The current data quality of the NICE registry is good and justifies evaluative research. These positive results might be explained by the implementation of several quality assurance procedures in the NICE registry, such as training and automatic data checks. Electronic supplementary material to this paper can be obtained by using the Springer LINK server located at http://dx.doi.org/10.1007/s00134-002-1272-z
Arts
Daniëlle
D
Department of Medical Informatics and Department of Intensive Care, Academic Medical Center, P.O.Box 22700, 1100 DE Amsterdam, The Netherlands. D.G.Arts@amc.uva.nl
de Keizer
Nicolette
N
Scheffer
Gert-Jan
GJ
de Jonge
Evert
E
D018806:APACHE; D004282:Documentation / Q000592:standards*; D006302:Health Services Research; D006801:Humans; D007362:Intensive Care Units / Q000592:standards*; D009426:Netherlands; D017063:Outcome Assessment, Health Care; D011785:Quality Assurance, Health Care; D012042:Registries / Q000592:standards* / Q000706:statistics & numerical data; D012720:Severity of Illness Index; D018709:Statistics, Nonparametric