The aim of this study was to evaluate the impact of a program of training,
education and awareness on the accuracy of the data collected from hospital
discharge abstracts. Four random samples of hospital discharge abstracts r
elating to four different periods were studied. The evaluation of the impac
t of systematic training and education activities was performed by checking
the quality of abstracting information from the medical records. The analy
sis was carried out at the Istituto Dermopatico dell'Immacolata, a research
hospital (335 beds) in Rome, Italy, which specializes in dermatology, plas
tic and vascular surgery. Error rates in discharge abstracts were subdivide
d into six categories: selection of the wrong principal diagnosis (type A);
low specificity of the principal diagnosis (type B); incomplete reporting
of secondary diagnoses (type C); selection of the wrong principal procedure
(type D); low specificity of the principal procedure (type E); incomplete
reporting of procedures (type F). A specific rate for errors modifying clas
sification in diagnosis related groups (DRG) was then estimated and the eff
ect of re-abstracting on the case-mix index evaluated. Error types A, B, C,
E and F dropped from 8.5% to 2%, 15.8 to 4.9, 31.8 to 13.1, 4.1 to 0.3 and
22 to 2.6%, respectively. Error type D was 0.7 both in the first (the base
line) and fourth periods of analysis. All differences in error types were s
tatistically significant. In 1999 8.3% of cases were assigned to a differen
t DRG after re-abstracting as compared with 24.3% in the third quarter of 1
994, 23.8% in the first quarter of 1995 and 5.5% in September-October 1997.
Continuous training and feedback of information to departments have shown
to be successful in improving the quality of abstracting information at pat
ient level from the medical record. These positive results were facilitated
by the introduction of a prospective payment system to finance inpatient h
ospital activity. The effort to increase administrative data quality at hos
pital level facilitates the use of those data sets for internal quality man
agement activities.