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A record linkage process of a cervical cancer screening database
Sergio Miranda Freire1, Rosimary Terezinha de Almeida, Maria Deolinda Borges Cabral
1Programa de Pós-Graduação em Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Computer Methods and Programs in Biomedicine
|February 21, 2012
Summary
Integrating the Brazilian Cervical Cancer Information System (SISCOLO) allows unique identification of women. This enables better evaluation of the cervical cancer screening program by observing individual patient data.
Area of Science:
- Public Health
- Epidemiology
- Health Informatics
Background:
- The Brazilian Cervical Cancer Information System (SISCOLO) currently uses exams as the unit of observation, hindering unique identification of women.
- This limitation complicates the comprehensive evaluation of the national cervical cancer screening program.
Purpose of the Study:
- To integrate SISCOLO data, specifically histology and cytology tables, to uniquely identify women.
- To establish a woman-centric approach for evaluating cervical cancer screening effectiveness.
Main Methods:
- Utilized record linkage methods to integrate SISCOLO's histology and cytology tables from June 2006 to December 2009.
- Linked records within each table and between the two tables to identify unique women.
Main Results:
- Successfully identified 6,236 women in the histology data and 1,678,993 in the cytology data.
- Established that 5,324 women had records in both histology and cytology tables.
- Achieved high performance metrics with sensitivities above 90% and specificities/precisions near 100%.
Conclusions:
- Demonstrated the feasibility of integrating SISCOLO data to create a woman-based observation unit.
- The integrated system can generate crucial indicators for evaluating the cervical cancer screening program's performance.