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Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries

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Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries

dc.contributor.author	Bernal-Delgado E, Enrique	es_ES
dc.contributor.author	Martos, Carmen	es_ES
dc.contributor.author	Martínez, Natalia	es_ES
dc.contributor.author	Chirlaque, María Dolores	es_ES
dc.contributor.author	Márquez, Mirari	es_ES
dc.contributor.author	Navarro, Carmen	es_ES
dc.contributor.author	Hernando, Lauro	es_ES
dc.contributor.author	Palomar, Joaquín	es_ES
dc.contributor.author	Izarzugaza, Isabel	es_ES
dc.contributor.author	Larrañaga, Nerea	es_ES
dc.contributor.author	Mokoroa, Olatz	es_ES
dc.contributor.author	Tobalina, M Cres	es_ES
dc.contributor.author	Bidaurrazaga, Joseba	es_ES
dc.contributor.author	Sánchez, María José	es_ES
dc.contributor.author	Martínez, Carmen	es_ES
dc.contributor.author	Rodríguez, Miguel	es_ES
dc.contributor.author	Pérez, Esther	es_ES
dc.contributor.author	Chang, Yoe Ling	es_ES
dc.date.accessioned	2015-06-29T10:34:12Z
dc.date.available	2015-06-29T10:34:12Z
dc.date.issued	2010	es_ES
dc.identifier.citation	BMC Health Services Research Vol. 10 pp. 9-9	es_ES
dc.identifier.uri	http://hdl.handle.net/10550/44817
dc.description.abstract	BackgroundThe 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.MethodsThe 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.ResultsA 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.ConclusionsHDAD 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.	es_ES
dc.title	Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries	es_ES
dc.type	journal article	es_ES
dc.identifier.doi	10.1186/1472-6963-10-9	es_ES
dc.identifier.idgrec	081826	es_ES