Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State

Luís Carlos Lopes-Júnior (), Larissa Soares Dell’Antonio, Raphael Manhaes Pessanha, Cristiano Soares Dell’Antonio, Michelaine Isabel da Silva, Thayna Mamedi de Souza and Jonathan Grassi
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Luís Carlos Lopes-Júnior: Health Sciences Center, Nursing Department, Universidade Federal do Espírito Santo, Vitória 29043-900, Brazil
Larissa Soares Dell’Antonio: Secretaria de Saúde do Estado do Espírito Santo, Vitória 29050-260, Brazil
Raphael Manhaes Pessanha: Health Sciences Center, Nursing Department, Universidade Federal do Espírito Santo, Vitória 29043-900, Brazil
Cristiano Soares Dell’Antonio: Secretaria de Saúde do Estado do Espírito Santo, Vitória 29050-260, Brazil
Michelaine Isabel da Silva: Health Sciences Center, Nursing Department, Universidade Federal do Espírito Santo, Vitória 29043-900, Brazil
Thayna Mamedi de Souza: Health Sciences Center, Nursing Department, Universidade Federal do Espírito Santo, Vitória 29043-900, Brazil
Jonathan Grassi: Graduate Program in Public Health, Universidade Federal do Espírito Santo, Vitória 29047-105, Brazil

IJERPH, 2022, vol. 19, issue 19, 1-16

Abstract: Objective: To evaluate the completeness and consistency of data from hospital-based cancer registries (HCRs) in a Brazilian state. Methods: This retrospective descriptive study was based on secondary data from an HCR in the state of Espírito Santo (ES) between 2010 and 2017. The data were collected between August and November 2020 by the ES State Health Department (SESA/ES). Cancer data were obtained from the HCR of ES using the tumor registration form of the Brazilian Hospital Cancer Registry Integrator and complete databases within the SESA/ES. The incompleteness of the data was classified as excellent (<5%), good (between 5% and 10%), regular (between 10% and 20%), poor (between 20% and 50%), and very poor (>50%), according to the percentage of the absence of information. Descriptive statistical analyses were performed using Statistical Package for the Social Sciences (SPSS ® Inc., Chicago, IL, USA) version 20.0. Results: Complete data were observed for the variables of sex, date of the first hospital visit, and histological type of the primary tumor; that is, there were no missing data. Most epidemiological variables, including age, origin, date of first tumor diagnosis, previous diagnosis and treatment, location of the primary tumor, first treatment received at the hospital, date of death of the patient, and probable location of the primary tumor, were classified as having excellent completeness throughout the study period. However, the variables schooling, smoking, alcohol consumption, occupation, family history of cancer, and clinical staging of the tumor were classified as poor. Conclusion: Most epidemiological variables from the HCR in the state of ES, Brazil, showed excellent completeness. It is essential to elucidate the sociodemographic and clinical variables of epidemiological importance for a better understanding of the health-disease process.

Keywords: neoplasms; hospital-based cancer registries; quality improvement; public health surveillance; cancer epidemiology (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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