Determinantes sociais do rastreamento mamográfico e do prognóstico de mulheres com câncer de mama

Abstract

Breast cancer accounts for the highest number of cancer deaths in women. Brazil has had guidelines for screening for breast cancer since 2004, but population coverage remains low and the survival of woman with the disease is lower than in high-income countries. The social determinants of screening coverage and survival from breast cancer are still poorly studied. It is proposed to elaborate a conceptual model of the social determination of the survival of breast cancer in women, based on scientific evidence, and to apply this model in epidemiological studies. It is also proposed to investigate the spatial distribution of mammographic screening coverage in Brazilian health regions and associated factors. For the elaboration of the conceptual model, an integrative review was carried out, with a systematic search in the LILACS and MEDLINE databases with the subject descriptors "breast neoplasms", "survival analysis" and terms related to social determinants. Based on this model, it was studied the survival in 10 years of a cohort of women with breast cancer accompanied at a hospital oncology service in Juiz de Fora, with public and private sectors. To investigate the mammographic screening coverage, an ecological study of spatial analysis in health was made. There is evidence in the literature that current socioeconomic status and in earlier life stages, the socioeconomic conditions of area of residence, race/color/ethnicity, characteristics of health services, lifestyle and psychosocial support are social determinants of survival in breast cancer; and that biological factors, such as staging of the disease, in addition to therapeutic interventions, are mediators of this relationship. In the survival study, women of black race/color (HR = 2.08, 95% CI: 1.48-2.91) and residents in lower income areas (HR = 2.39, 95% CI: 1, 49-3,83, comparing the lowest income quartile with the highest income quartile) had a worse prognosis. The main mediator of race/color was the diagnosis at more advanced stages (mediated proportion = 40%, 95% CI: 37%-42%), probably due to less access to screening. The ecological study showed large regional inequalities in mammographic screening coverage, with a median value of 21.6% and an interquartile range of 8.1% to 37.9%. Compared to the Southeast, the health regions of the Central-West had a 24.4% lower coverage, the North region 13,9% lower and the Northeast 11.0% lower. Factors associated with a greater mammographic coverage were the size and proportion of urbanization of the population, lower income inequality, greater availability of mammography machines and radiologists, and greater efficiency in the use of existing mammography machines. In spatial regime models, efficiency in the use of mammography was the only significant factor for all regions. The Gini index was significant in the South and Southeast, the population size in the South, the ratio of radiologists in the Central-West ant the ratio of mammography machines in the North. Regional iniquities in the coverage of mammographic screening and racial and social disparities in the survival of women with breast cancer were evidenced. Improved access to screening and early diagnosis of breast cancer can contribute significantly to reducing health inequities