Highlights
- •Accuracy of the cancer incidence in general measured by MBDS has not been evaluated.
- •Minimum Basic Data Set (MBDS) has a sensitivity to detect cases of cancer above 60%.
- •MBDS has high specificity and NPV, and moderate NPV to detect cases of cancer.
- •The performance of MBDS in the detection of tumors depends on the type of cancer.
- •“Minimum Basic Data Set” could be a valuable tool in the monitoring of cancer.
Abstract
Objective
This work aims to evaluate the Minimum Basic Data Set (MBDS) as a data source in the
detection of malignant tumors and explore its usefulness as a tool for epidemiological
surveillance of cancer.
Materials and methods
MBDS hospital data discharge from Prince of Asturias University Hospital (HUPA, Alcalá
de Henares, Madrid, Spain) and cancer cases recorded in the Hospital Cancer Registry
(HCR) have been collected for the period between January 2012 and June 2014. Both
databases have been linked by the number of clinical history. For the process of evaluation
of MBDS, the types of cancer with more than 100 cases have been analyzed and sensitivity,
specificity, positive and negative predictive values(PPV, NPV) of MBDS were calculated
using as reference the diagnoses recorded in the HCR.
Results
3438 cases of cancer were accounted in the MBDS and 2445 in the HCR. The MBDS has
a sensitivity to detect cases of cancer above 60%, although it varies depending on
the type of tumor, reaching the highest values for bladder cancer. The specificity
and the VPN were very high for all types of cancer studied, always on top of 95%.
Finally, the VPP is generally moderate, between 50% and 70%.
Conclusions
The systematic exploitation of the MBDS can provide a valuable tool in the monitoring
of cancer by its acceptable sensitivity and high specificity, allowing obtaining information
without the delays involved in the consolidation of the annotations of the HCR. Furthermore,
its use could partly mitigate the lack of data in important regions of Spain.
Keywords
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Article info
Publication history
Published online: August 05, 2016
Accepted:
June 28,
2016
Received in revised form:
June 20,
2016
Received:
December 14,
2015
Identification
Copyright
© 2016 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.