Geolocation of uterine cervical neoplasms (UCN) in the context of a prevention program in Tucumán, Argentina.

Abstract

e13535 Background: : UCN is one of the major public health problems in Tucumán, that must be related to the type of population to which it belongs (Rural or Urban). Geolocation allows the processing and analysis of geographic information whose results support decision-making in solving complex planning and management problems on the territory. The objective of this study is to carry out management quality controls of the PPCCUT (Programa de Prevención de Cáncer Cervical Uterino-Tucumán) to achieve adequate prevention and detection of uterine cervical lesions in the province. Methods: An observational cross-sectional study of 1343 women, (16-90 years), with a biopsy diagnosis UCN, under PPCCUT (years 2013-2020). Preanalytical work: allowed the review quality the registries and the diagnoses follow-up. Data recollection from SITAM (Online Information System for Screening), population registry database. Variables: Address: registered in SITAM, joined by information from the provincial female electoral roll 2019. Histological Diagnosis: High grade squamous intraepithelial lesion (HSIL), Invasive Squamous Carcinoma (ISC), Adenocarcinoma In situ (AIS), Invasive Adenocarcinoma (IDA). Analytical work: The conversion from address to latitude and longitude was performed by programming Google Sheet. This data was segmented by hospital center and opened in layers inside QGIS, as well as the map of Argentina. Results: Preanalytical. Register showed from 1343 patients received 1748 biopsies, were excluded 160 without address (incomplete data loading by the effectors). Lack of coordination in diagnosis area: 33 patients received first “in situ diagnosis” and in a short time later were consider “invasive lesions”. Some Patients had 2 bis 6 biopsies with same diagnosis. Analytical (geolocation): showed the influence of PPCCUT outside the province, including living abroad. It was found correlation between patients’ distribution with the population density. Conclusions: The importance of the work lays in the lack of antecedents in the application of the geolocation tool in programs of UCN in Tucumán and in other regions of Argentina. This allowed monitoring in different aspects of the programmatic management.