Cargando…
Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State
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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566550/ https://www.ncbi.nlm.nih.gov/pubmed/36231303 http://dx.doi.org/10.3390/ijerph191912003 |
_version_ | 1784809178306445312 |
---|---|
author | Lopes-Júnior, Luís Carlos Dell’Antonio, Larissa Soares Pessanha, Raphael Manhaes Dell’Antonio, Cristiano Soares da Silva, Michelaine Isabel de Souza, Thayna Mamedi Grassi, Jonathan |
author_facet | Lopes-Júnior, Luís Carlos Dell’Antonio, Larissa Soares Pessanha, Raphael Manhaes Dell’Antonio, Cristiano Soares da Silva, Michelaine Isabel de Souza, Thayna Mamedi Grassi, Jonathan |
author_sort | Lopes-Júnior, Luís Carlos |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9566550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95665502022-10-15 Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State Lopes-Júnior, Luís Carlos Dell’Antonio, Larissa Soares Pessanha, Raphael Manhaes Dell’Antonio, Cristiano Soares da Silva, Michelaine Isabel de Souza, Thayna Mamedi Grassi, Jonathan Int J Environ Res Public Health Article 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. MDPI 2022-09-22 /pmc/articles/PMC9566550/ /pubmed/36231303 http://dx.doi.org/10.3390/ijerph191912003 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lopes-Júnior, Luís Carlos Dell’Antonio, Larissa Soares Pessanha, Raphael Manhaes Dell’Antonio, Cristiano Soares da Silva, Michelaine Isabel de Souza, Thayna Mamedi Grassi, Jonathan Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State |
title | Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State |
title_full | Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State |
title_fullStr | Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State |
title_full_unstemmed | Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State |
title_short | Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State |
title_sort | completeness and consistency of epidemiological variables from hospital-based cancer registries in a brazilian state |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566550/ https://www.ncbi.nlm.nih.gov/pubmed/36231303 http://dx.doi.org/10.3390/ijerph191912003 |
work_keys_str_mv | AT lopesjuniorluiscarlos completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate AT dellantoniolarissasoares completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate AT pessanharaphaelmanhaes completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate AT dellantoniocristianosoares completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate AT dasilvamichelaineisabel completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate AT desouzathaynamamedi completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate AT grassijonathan completenessandconsistencyofepidemiologicalvariablesfromhospitalbasedcancerregistriesinabrazilianstate |