Health Sciences Center, Nursing Department, Universidade Federal do Espírito Santo, Vitória 29043-900, Brazil.
Graduate Program in Public Health, Universidade Federal do Espírito Santo, Vitória 29047-105, Brazil.
Int J Environ Res Public Health. 2022 Sep 22;19(19):12003. doi: 10.3390/ijerph191912003.
To evaluate the completeness and consistency of data from hospital-based cancer registries (HCRs) in a Brazilian state.
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.
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.
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.
评估巴西某州基于医院的癌症登记处(HCR)的数据完整性和一致性。
本回顾性描述性研究基于 2010 年至 2017 年期间在圣埃斯皮里图州(ES)的 HCR 的二级数据。数据于 2020 年 8 月至 11 月期间由 ES 州卫生部门(SESA/ES)收集。癌症数据是通过 ES 的 HCR 使用巴西医院癌症登记整合器的肿瘤登记表格和 SESA/ES 内的完整数据库获得的。根据信息缺失百分比,将数据的不完整性分类为优秀(<5%)、良好(5%-10%)、一般(10%-20%)、较差(20%-50%)和很差(>50%)。采用社会科学统计软件包(SPSS Inc.,芝加哥,IL,美国)版本 20.0 进行描述性统计分析。
在首次就诊日期和原发肿瘤的组织学类型等变量中观察到完整的数据,即没有缺失数据。大多数流行病学变量,包括年龄、起源、首次肿瘤诊断日期、先前的诊断和治疗、原发肿瘤位置、在医院接受的首次治疗、患者死亡日期以及原发肿瘤的可能位置,在整个研究期间均被归类为具有极好的完整性。然而,教育程度、吸烟、饮酒、职业、癌症家族史和肿瘤临床分期等变量被归类为较差。
巴西 ES 州 HCR 的大多数流行病学变量显示出极好的完整性。阐明具有重要流行病学意义的社会人口学和临床变量对于更好地了解健康-疾病过程至关重要。