RT Journal Article
T1 Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries
A1 Bernal-Delgado, Enrique E
A1 Martos, Carmen
A1 Martínez, Natalia
A1 Chirlaque, María D
A1 Márquez, Mirari
A1 Navarro, Carmen
A1 Hernando, Lauro
A1 Palomar, Joaquín
A1 Izarzugaza, Isabel
A1 Larrañaga, Nerea
A1 Mokoroa, Olatz
A1 Tobalina, Cres
A1 Bidaurrazaga, Joseba
A1 Sanchez-Perez, Maria-Jose
A1 Martínez, Carmen
A1 Rodríguez, Miguel
A1 Pérez, Esther
A1 Chang, Yoe L
K1 Neoplasias de la próstata
K1 Sistema de registros
K1 Registro médico oordinado
K1 Registros de hospitales
K1 España
K1 Estudios de validación
AB Background. The use of hospital discharge administrative data (HDAD) has been recommended for automating, improving, even substituting, population-based cancer registries. The frequency of false positive and false negative cases recommends local validation. Methods. The aim of this study was to detect newly diagnosed, false positive and false negative cases of cancer from hospital discharge claims, using four Spanish population-based cancer registries as the gold standard. Prostate cancer was used as a case study. Results. A total of 2286 incident cases of prostate cancer registered in 2000 were used for validation. In the most sensitive algorithm (that using five diagnostic codes), estimates for Sensitivity ranged from 14.5% (CI95% 10.3-19.6) to 45.7% (CI95% 41.4-50.1). In the most predictive algorithm (that using five diagnostic and five surgical codes) Positive Predictive Value estimates ranged from 55.9% (CI95% 42.4-68.8) to 74.3% (CI95% 67.0-80.6). The most frequent reason for false positive cases was the number of prevalent cases inadequately considered as newly diagnosed cancers, ranging from 61.1% to 82.3% of false positive cases. The most frequent reason for false negative cases was related to the number of cases not attended in hospital settings. In this case, figures ranged from 34.4% to 69.7% of false negative cases, in the most predictive algorithm. Conclusions. HDAD might be a helpful tool for cancer registries to reach their goals. The findings suggest that, for automating cancer registries, algorithms combining diagnoses and procedures are the best option. However, for cancer surveillance purposes, in those cancers like prostate cancer in which care is not only hospital-based, combining inpatient and outpatient information will be required.
PB Biomed Central
YR 2012
FD 2012-01-08
LK http://hdl.handle.net/10668/300
UL http://hdl.handle.net/10668/300
LA en
NO Bernal-Delgado EE, Martos C, Martínez N, Chirlaque MD, Márquez M, Navarro C, et al. Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries. BMC Health Serv Res. 2010 Jan 8; 10:9
DS RISalud
RD Apr 19, 2025