Objective. To provide an evaluation model of internal accuracy illustrating
its use in a quality control program of clinical chemistry. Methods. The m
odel uses data transformed to percentage of assigned value (%AV) that allow
s the pooling of different controls. Precision is evaluated by the mean of
the intracontrol coefficients of variation, and accuracy by the mean of mea
ns of the %VAs and its standard deviation. The model was used in 17,280 mea
surements of 23 analytes assayed in seven pairs of controls (medium and hig
h concentration) during four years in two automated clinical chemistry anal
yzers. Results. The model established inaccuracy of 5% to 25% in seven anal
ytes, five of them enzymes. It also detected interanalyzer differences in a
ccuracy of five analytes (22%) and an erroneous assigned value in 19 of 304
controls (6%). Conclusions. The model showed its capacity to dissect the s
ources of variation of accuracy. There was inaccuracy in 30% of the analyte
s but further studies are needed to validate these inaccuracies with contro
ls of other sources. The model can be useful for control programs of any qu
antitative assay system. A summary description of the model's operation is
given.