[Automatization of a hospital-based tumor registry].
BACKGROUND
To increase data reliability and reduce the costs associated with the HTR, the Catalan Institute of Oncology programmed the manual procedures of data collection from databases by means of a computer application (ASEDAT).


METHODS
ASEDAT detects the incident tumors of the registry from the databases of the pathology records (PR) and discharge records (DR) and selects the basic information from both databases. Data from the HTR data was collected for the period 1999-2000 by means of 2 procedures: manual and automatized collection and the results obtained were compared.


RESULTS
10,498 cancer patients were detected. Manual resolution detected 8,309 incident tumors and 2,374 prevalent tumors. ASEDAT automatically detected 8,901 patients (84.8%), in whom 8,367 incident tumors were detected (58 more tumors than the manual procedure). Validation of agreement was performed in the incident tumors detected by both methods (7,063 tumors). In 6,185 tumors (87.6%) the information agreed in all the variables. Of the discordant tumors, 692 (9.8%) were obtained by the RHT staff using manual resolution, and the remainder (186; 2.6%) were obtained by the application (automatic resolution).


CONCLUSIONS
Cancer registry automatization is feasible when PR and DR databases are available, coded and automatized.
Ribes
Josepa
J
Servei d'Epidemiologia i Registre del Càncer, Institut Català d'Oncologia, 08907 L'Hospitalet de Llobregat, Barcelona, España. j.ribes@iconcologia.net
Gálvez
Jordi
J
Melià
Angels
A
Clèries
Ramon
R
Messeguer
Xavier
X
Bosch
Francesc Xavier
FX
D006753:Hospital Records; D006801:Humans; D015994:Incidence; D016347:Medical Records Systems, Computerized; D009369:Neoplasms / Q000453:epidemiology*; D015995:Prevalence; D012042:Registries; D013030:Spain / Q000453:epidemiology