Multilevel analysis of social determinants of advanced stage colorectal cancer diagnosis.

The advanced stage at diagnosis of colorectal cancer (CRC) may be related to individual factors, socioeconomic conditions, and healthcare service availability. The objective of the study was to analyze the prevalence of advanced stage CRC at the time of diagnosis and its association with individual, contextual, socioeconomic, and healthcare service indicators. An observational, cross-sectional study was conducted, analyzing cases of malignant neoplasms of the colon and rectum in individuals of both sexes, aged between 18 and 99 years, diagnosed between 2010 and 2019 in Brazil (n = 69,047). Data were collected from the Hospital Cancer Registry (HCR), Atlas of Human Development in Brazil, and from the National Registry of Health Institutions (NRHI). A Multilevel Poisson Regression model with random intercept was used. The prevalence of advanced stage CRC at diagnosis was 65.6%. Advanced stage was associated with older age groups prevalence ratio (PR) 4.40 and younger age groups (PR 1.84), low Human Development Index (HDI) (PR 1.22), and low density of family health strategy teams (PR 1.10). The study highlights the unequal distribution of social determinants of health in the diagnosis CRC in Brazil, revealing the need to evaluate and redirect public policies aimed at improving early detection and prevention of CRC in the country.

Completeness of cervical cancer staging information in Brazil: A national hospital-based study.

BACKGROUND: Cancer staging information in Hospital Cancer Registries (HCR) is essential for cancer care quality evaluations. This study aimed to analyze the completeness of cervical cancer staging in Brazilian HCR and identify individual and contextual factors associated with unknown staging. METHODS: The outcome analyzed was missing or unknown staging (Malignant Tumor Classification System and/or International Federation of Gynecology and Obstetrics) in 2006-2015. Individual data on cancer cases were collected from the HCR Integrator. Contextual variables were collected from the Atlas of Human Development in Brazil, the National Registry of Health Facilities, and the Outpatient Information System. The random intercept multilevel Poisson regression model was performed to identify the factors associated with the outcome. RESULTS: The prevalence of unknown staging data was 32.4% (95% confidence interval [CI], 32.1-32.7). Women aged 18-29 years (prevalence ratio [PR], 1.48; 95% CI, 1.42-1.54), referred by the public health system (PR, 1.16; 95% CI, 1.11-1.21), living in states with a low density of oncologists (PR, 1.70; 95% CI, 1.62-1.79), and with a low cytopathological testing rate (PR, 1.69; 95% CI, 1.57-1.82) showed a higher prevalence of unknown tumor staging data. A lower level of education (PR, 0.91; 95% CI, 0.84-0.98) was associated with complete staging data. CONCLUSIONS: Individual and contextual factors were associated with missing staging data. It is necessary to improve information on cancer in the HCRs by improving the awareness and training of Brazilian cancer care professionals.

A multilevel assessment of the social determinants associated with the late stage diagnosis of breast cancer.

The advanced-stage diagnosis of breast cancer reveals the inequalities associated with socioeconomic conditions and the offer of health services. This study analyzes the prevalence of advanced breast cancer and its relationship with individual and contextual socioeconomic indicators and offer of health service. A cross-sectional study is presented herein, on the assessment of malignant breast neoplasms in women diagnosed between 2006 and 2015 (n = 195,201). Data were collected from the Hospital Cancer Registry (HCR), Atlas of Human Development in Brazil, and from the National Registry of Health Institutions (NRHI). A multilevel Poisson Regression was carried out with random intercept. The prevalence of advanced breast cancer diagnosis was 40.0%. Advanced staging was associated with younger age groups (PR 1.41), race/nonwhite (PR 1.13), lower education levels (PR 1.38), and public access to health services (PR 1.25). There was also an association with a low density of mammographic equipment (PR 1.08), and with low indices of local social inequality (PR 1.33) and human development (PR 0.80). This study maps and highlights the causes related to inequalities in the diagnosis of advanced breast cancer in Brazil, and presents essential data to reorient public policies and health-related actions to strengthen the control of breast cancer in Brazil.