Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set.

The feasibility of the Minimum Basic Data Set (MBDS) as a tool in cancer research was explored monitoring its incidence through the detection of spatial clusters. Case-control studies based on MBDS and marked point process were carried out with the focus on the residence of patients from the Prince of Asturias University Hospital in Alcalá de Henares (Madrid, Spain). Patients older than 39 years with diagnoses of stomach, colorectal, lung, breast, prostate, bladder and kidney cancer, melanoma and haematological tumours were selected. Geocoding of the residence address of the cases was done by locating them in the continuous population roll provided by the Madrid Statistical Institute and extracting the coordinates. The geocoded control group was a random sample of 10 controls per case matched by frequency of age and sex. To assess case clusters, differences in Ripley K functions between cases and controls were calculated. The spatial location of clusters was explored by investigating spatial intensity and its ratio between cases and controls. Results suggest the existence of an aggregation of cancers with a common risk factor such as tobacco smoking (lung, bladder and kidney cancers). These clusters were located in an urban area with high socioeconomic deprivation. The feasibility of designing and carrying out case-control studies from the MBDS is shown and we conclude that MBDS can be a useful epidemiological tool for cancer surveillance and identification of risk factors through case-control spatial point process studies.

The Minimum Basic Data Set (MBDS) as a tool for cancer epidemiological surveillance.

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.