ABSTRACT:

Introduction:

Mammography is the main screening test for early detection of breast cancer; however, its access is not equal for all women in Brazil. The objective of this study was to analyze the factors associated with not having this examination done in a period of less than two years in Brazil and according to macro-region, considering sociodemographic characteristics, health conditions, lifestyle, and the use of health services.

Method:

Cross-sectional study using data from the National Health Survey in Brazil (Pesquisa Nacional de Saúde - PNS). The sample consisted of 10,571 women (≥40 years old) living in all Brazilian regions. Poisson regression model with hierarchical approach was used to estimate prevalence ratios.

Results:

The characteristics associated with not getting a mammogram were: age ≥60 years, low schooling, living without a partner, negative health self-rating, having some chronic disease, no regular exercise, not getting a clinical breast examination for up to one year or a Pap smear for up to three years, not seeing a doctor in the last year, not having health insurance, feeling discriminated by a health professional, and being enrolled in a family care unit. Sociodemographic factors were prominent in the North and Northeast, while in other regions, health conditions and health behavior were predominant.

Conclusion:

Variables related to the use of health services were especially important in not getting a mammogram. Measures should be taken in each macro-region of Brazil to reduce disparities in access to mammography.

Keywords:
Early detection of cancer; Breast neoplasms; Mammography; Women’s health; Health status disparities

INTRODUCTION

Breast cancer is the leading cancer diagnosis in women in Brazil and worldwide¹1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 2015; 136(5): E359-86. https://doi.org/10.1002/ijc.29210
https://doi.org/10.1002/ijc.29210... ^,22. Instituto Nacional de Câncer José Alencar Gomes da Silva. Coordenação de Prevenção e Vigilância. Estimativa 2018: Incidência de câncer no Brasil. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2017. (INCA, 128).. Notably, in developed countries, the number of deaths has been decreasing, but in developing countries, the opposite is true, which may possibly be related to less access to early detection and timely treatment³3. DeSantis CE, Bray F, Ferlay J, Lortet-Tieulent J, Anderson BO, Jemal A. International Variation in Female Breast Cancer Incidence and Mortality Rates. Cancer Epidemiol Biomarkers Prev 2015; 24(10): 1495-506. https://doi.org/10.1158/1055-9965.EPI-15-0535
https://doi.org/10.1158/1055-9965.EPI-15... .

In Brazil, 80% of breast cancer diagnoses occur in advanced stages, and this scenario is worse for women with low education who depend on the Unified Health System (SUS)⁴4. Liedke PE, Finkelstein DM, Szymonifka J, Barrios CH, Chavarri-Guerra Y, Bines J, et al. Outcomes of breast cancer in Brazil related to health care coverage: a retrospective cohort study. Cancer Epidemiol Biomarkers Prev 2014; 23(1): 126-33. https://doi.org/10.1158/1055-9965.EPI-13-0693
https://doi.org/10.1158/1055-9965.EPI-13... ^,55. Silva PF, Amorim MHC, Zandonade E, Viana KCG. Associação entre variáveis sociodemográficas e estadiamento clínico avançado das neoplasias da mama em hospital de referência no estado do Espírito Santo. Rev Bras Cancerol 2013; 59(3): 361-7.. Thus, access to mammography, the main early detection examination, is not equal among Brazilian women. Population-based studies indicate that higher education and income, living in urban areas and in the most developed regions of the country are factors related to a greater number of women getting a mammographic examination⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... ^,77. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... ^,88. Oliveira EXG, Pinheiro RS, Melo ECP, Carvalho MS. Condicionantes socioeconômicos e geográficos do acesso à mamografia no Brasil, 2003-2008. Ciênc Saúde Coletiva 2011; 16(9): 3649-64. http://dx.doi.org/10.1590/S1413-81232011001000002
http://dx.doi.org/10.1590/S1413-81232011... ^,99. Rodrigues JD, Cruz MS, Paixão AN. Uma análise da prevenção do câncer de mama no Brasil. Ciênc Saúde Coletiva 2015; 20(10): 3163-76. http://dx.doi.org/10.1590/1413-812320152010.20822014
http://dx.doi.org/10.1590/1413-812320152... ^,1010. Borges ZD, Wehrmeister FC, Gomes AP, Gonçalves H. Clinical breast examination and mammography: inequalities in Southern and Northeast Brazilian regions. Rev Bras Epidemiol 2016; 19(1): 1-13. https://doi.org/10.1590/1980-5497201600010001
https://doi.org/10.1590/1980-54972016000... ^,1111. Silva GA, Souza-Júnior PRB, Damacena GN, Szwarcwald CL. Early detection of breast cancer in Brazil: data from the National Health Survey, 2013. Rev Saúde Pública 2017; 51(Supl. 1): 14s. https://doi.org/10.1590/S1518-8787.2017051000191
https://doi.org/10.1590/S1518-8787.20170... .

Health condition also seems to be determinant for mammography, since women with a positive assessment of their health are more likely to submit to the examination⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... ^,77. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... ^,99. Rodrigues JD, Cruz MS, Paixão AN. Uma análise da prevenção do câncer de mama no Brasil. Ciênc Saúde Coletiva 2015; 20(10): 3163-76. http://dx.doi.org/10.1590/1413-812320152010.20822014
http://dx.doi.org/10.1590/1413-812320152... . Research conducted in a state capital in Northeast Brazil found a negative relationship between smoking and participation in mammogram screening¹²12. Lages RB, Oliveira GD, Simeão Filho VM, Nogueira FM, Teles JB, Vieira SC. Desigualdades associadas a não realização de mamografia na zona urbana de Teresina-Piauí-Brasil, 2010-2011. Rev Bras Epidemiol 2012; 15(4): 737-47. http://dx.doi.org/10.1590/S1415-790X2012000400006
http://dx.doi.org/10.1590/S1415-790X2012... .

The use of health services is another factor that may influence the participation of the female public in breast cancer control actions. Women who visited a doctor in the last year are more likely to have a mammogram⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... ^,77. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... ^,88. Oliveira EXG, Pinheiro RS, Melo ECP, Carvalho MS. Condicionantes socioeconômicos e geográficos do acesso à mamografia no Brasil, 2003-2008. Ciênc Saúde Coletiva 2011; 16(9): 3649-64. http://dx.doi.org/10.1590/S1413-81232011001000002
http://dx.doi.org/10.1590/S1413-81232011... , just as those with health insurance¹¹11. Silva GA, Souza-Júnior PRB, Damacena GN, Szwarcwald CL. Early detection of breast cancer in Brazil: data from the National Health Survey, 2013. Rev Saúde Pública 2017; 51(Supl. 1): 14s. https://doi.org/10.1590/S1518-8787.2017051000191
https://doi.org/10.1590/S1518-8787.20170... .

In Brazil, the investigation of factors associated with women’s participation in early detection of breast cancer has focused mainly on sociodemographic characteristics. Thus, the scope of this study included aspects still little explored at the national level, such as health conditions, lifestyle and characteristics related to the use of health services. The study was carried out at the national level and by macro-region, thus allowing the observation of the peculiarities referring to each one. Accordingly, the main objective of this study was to identify the factors associated with not performing a mammogram in a period of less than two years among Brazilian women nationwide and by macro-region, covering sociodemographic characteristics, health conditions, lifestyle and use of health services.

METHODS

We conducted a population-based cross-sectional study based on data from the National Health Survey (Pesquisa Nacional de Saúde - PNS), conducted from August 2013 to February 2014, with the objective of evaluating the health, lifestyle and health care of the adult population in Brazil.

The PNS is the largest survey conducted in Brazil regarding the health situation of the population. It is part of the Integrated System of Household Surveys (SIPD) of the Brazilian Institute of Geography and Statistics (IBGE) and used a subsample of the master sample, which is the basis for IBGE household surveys. The PNS sampling plan considered random cluster sampling in three stages. Detailed information on the PNS sampling process is available elsewhere¹³13. Souza-Júnior PRBD, Freitas MPSD, Antonaci GDA, Szwarcwald CL. Desenho da amostra da Pesquisa Nacional de Saúde 2013. Epidemiol Serv Saúde 2015; 24(2): 207-16. http://dx.doi.org/10.5123/S1679-49742015000200003
http://dx.doi.org/10.5123/S1679-49742015... .

At the end of the fieldwork, 81,167 households were visited, of which 69,994 were occupied, and 60,202 individual interviews were conducted with the selected resident at home¹⁴14. Damacena GN, Szwarcwald CL, Malta DC, Souza Júnior PR, Vieira ML, Pereira CA, et al. O processo de desenvolvimento da Pesquisa Nacional de Saúde no Brasil, 2013. Epidemiol Serv Saúde 2015; 24(2): 197-206. http://dx.doi.org/10.5123/S1679-49742015000200002
http://dx.doi.org/10.5123/S1679-49742015... . Of these, 34,282 were women, of which 17,987 were 40 years old or older. This study included only women aged 40 years and older who reported having received a medical request for a mammographic examination and performed it. Those who failed to answer some of the questions used in this study and those who had recorded data incorrectly were excluded.

Of the 11,465 who reported receiving a doctor’s request to get a mammogram, 10,792 reported having the examination. A total of 221 interviews were excluded because the questionnaire was not filled out correctly or due to lack of information for some variables. Thus, the study sample consisted of 10,571 women.

The question used to obtain the outcome of interest was: “When was the last time you had a mammogram?” The answers were categorized as “less than two years ago”; “two years or more years”. The women themselves answered the question, thus reducing the possibility of information bias. The variables were grouped in blocks according to a hierarchical theoretical model.

The first level (distal) included the variables related to sociodemographic conditions: age in years (40 to 49; 50 to 59; 60 to 69; 70 or older); skin color (white or non-white); education (illiterate, complete/incomplete elementary school, complete/incomplete high school, complete/incomplete higher education); conjugal status (with partner, without partner); region (Northeast, North, Central-West, South, Southeast); and household area (urban, rural).

The second level (intermediate) comprises the variables related to health conditions and lifestyle: perception of health status (good or very good, fair, poor or very poor); self-reported chronic disease (no or yes if one of the following diseases: depression, high blood pressure, cancer, asthma/asthma bronchitis, arthritis or rheumatism, chronic renal failure or chronic obstructive pulmonary disease); alcohol abuse (no or yes if 4 or more doses of alcohol were consumed on a single occasion within the last 30 days); smoking (smokes, smoked or never smoked), also considered tobacco products included cigar, cigarillo, pipe, clove (or Balinese) cigarettes and hookahs (or water pipes); and exercise (yes or no), considered “yes” for those engaged in at least one type of regular exercise or sport in the last three months before the interview date.

The third level (proximal) contains the variables that indicate the use of health services: Pap smear (less than three years ago, three or more years ago, or never); clinical breast examination (CBE) (less than one year ago, one or more years ago, or never); health insurance (yes or no); registration in a family health unit (yes, no or does not know); doctor’s visit in the last year (yes or no); discrimination by any health professional (no or yes) - “yes” considered if reported feeling discriminated or treated worse than other people in the health service, because of one of following reasons: lack of money, social class, race/color, type of work, disease type, sexual preference, religion/belief, gender, age, and other.

In the descriptive analysis, the prevalence of the variables of interest and their respective 95% confidence interval (95%CI) were determined, taking into consideration the effect of the sampling plan for the calculation of point estimates, to ensure the correct interpretation of the results¹³13. Souza-Júnior PRBD, Freitas MPSD, Antonaci GDA, Szwarcwald CL. Desenho da amostra da Pesquisa Nacional de Saúde 2013. Epidemiol Serv Saúde 2015; 24(2): 207-16. http://dx.doi.org/10.5123/S1679-49742015000200003
http://dx.doi.org/10.5123/S1679-49742015... .

Estimates of crude and adjusted prevalence ratios (PR) were applied considering the national level and then by each macro-region. The Poisson regression model with robust variance was used, since the prevalence of the outcome was higher than 10%¹⁵15. Hirakata VN. Estudos Transversais e Longitudinais com Desfechos Binários: qual a melhor medida de efeito a ser utilizada? Rev HCPA 2009; 29(2): 174-6.. The crude PR for each variable under study was estimated, and the variables with p ≤ 0.20 were selected to be included in the multiple model.

In the adjusted analysis, the variables were inserted in the model according to their level or higher level, according to the hierarchical theoretical model. Variables with p < 0.10 at a given level remained in subsequent models. After the adjusted analysis of the proximal level, the variables with p < 0.05 remained in the final model.

The survey module of the Statistical Software Data Analysis and Statistical Software (STATA) version 12.0 was used to obtain the estimates, since the weight attributed to each interviewee, according to the complex sample design, must be incorporated into the statistical analysis. The weights of each interviewee considered in this study are available along with the microdata on the IBGE website¹⁶16. Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde 2013: Microdados [Internet]. Instituto Brasileiro de Geografia e Estatística [acessado em 1º set. 2015]. Disponível em: Disponível em: http://www.ibge.gov.br/home/estatistica/populacao/pns/2013_vol3/default_microdados.shtm
http://www.ibge.gov.br/home/estatistica/... .

PNS was approved by the National Research Ethics Commission (CONEP) of the National Health Council (CNS), Ministry of Health (MS), under Approval No. 328,159, of June 26, 2013.

RESULTS

In this study, 10,571 women were evaluated, representing a response rate of 94.0% among all those aged 40 and older and who had received a request from their doctor to have a mammogram.

The prevalence of getting a mammogram within a period of less than 2 years from the date of the interview was 79.4%, with 49.0% of the examinations performed through SUS. The percentage of the examination was 74.6% (95%CI 70.1 - 79.1) in the North, 75.7% (95%CI 73.2 - 78.3) in the Northeast, 76.0% (95%CI 73.0 - 78.8) in the Central-West, 80.6% (95%CI 78.0 - 83.2) in the South and 81.2% (95%CI 79.0 - 83.3) in the Southeast.

In Brazil, a higher prevalence of this examination in the last 2 years from the interview date was observed among women aged 40 to 49 years (86.7%), self-declared as white (80.0%), who lived with a partner (82.8%), had higher education (88.7%), lived in the Southeast region (81.0%), and in an urban area (76.3%).

Considering the national level, the analysis adjusted for each hierarchical level is shown in Table 1. In the adjusted analysis of the final model (Table 2), it can be observed that women without any health insurance showed a 14% higher prevalence of not having the examination. Women over 60, those who rated their health status negatively (fair or poor/very poor), did not exercise regularly, or felt discriminated by some health professional had an increase of approximately 20% in the prevalence of not having the examination. A higher percentage of mammography underuse was found in those who reported not seeing a doctor in the last year (30%).

A lower prevalence of mammography was found in women who also reported not following recommendations to perform CBE annually (PR = 11.15; 95%CI 8.52 - 14.59) and Pap smear within 3 years (PR = 2.78; 95%CI 2.51 -3.09). Women who were not enrolled in a family health unit had a higher prevalence of the examination (PR = 0.85; 95%CI 0.77 - 0.94) (Table 2).

Analyzing by macro-region, we can see the variables of each level that remained in the final model. In the first level, it is observed that Northeast women 60 years and older had a 27% lower mammogram rate, compared with the age group 40 to 49 years. Low education (illiterate, elementary school) was significant in the North, doubling the prevalence of not getting a mammogram compared to those with higher education. And those who lived without a partner in the South had a 36% lower prevalence of having the screening test than those who lived with a partner (Table 2).

At the secondary level, there was a relationship with lower rate of having a mammogram and the following: women who self-rated their health status as poor/very poor in the Southeast and South (PR = 1.42; 95%CI 1.05 - 1.93 and PR = 1.47; 95%CI 1.09 - 1.97, respectively), who did not exercise regularly in the South (PR = 1.41; 95%CI 1.02 - 1.95) and who had some chronic morbidity in the Central-West (PR = 1.56; 95%CI 1.23 - 1.98) (Table 2).

At the proximal level, it was found that the lack of health insurance in the Northeast increased the prevalence of not getting a mammogram by 47%. Not having seen a doctor in the last year was an important factor in the Southeast, Northeast, South and Central-West, ranging from 29% in the Southeast to 49% in the Central-West. In all regions, the CBE and Pap smear variables were the most prominent, and women who did not undergo either of these examinations regularly had a higher prevalence of not having a mammogram. For CBE, estimates ranged from the Central-West at PR = 9.12 (95%CI 5.53 - 15.04) to the South at PR = 13.41 (95%CI 7.37 - 24.39). As for the Pap smear, estimates ranged from the North at PR = 1.87 (95%CI 1.34 - 2.60) to the Southeast at PR = 3.68 (95%CI 3.06 - 4.42). In the Southeast, Northeast, and Central-West, the interviewees who had their residence enrolled in a family health unit had a higher prevalence of not getting a mammogram (17, 18 and 27%, respectively) (Table 2).

DISCUSSION

The results of this study revealed that approximately 79% of women aged ≥40 years underwent mammography in the last 2 years from the interview date. Considering only women belonging to the target public of the MS (50 to 69 years old), the percentage of having the screening test was 58%.

In Brazil, the characteristics related to not having a mammogram at least every 2 years were the following: being 60 or older, having a negative rating of one’s health status, not exercising regularly, not having health insurance, not seeing a doctor in the last year, suffering discrimination by some health professional and being enrolled in a family health unit. CBE and Pap smear when not performed in the period recommended by the MS were the factors most associated with not getting a mammogram, which was the same result found in the models for each macro-region.

Analyzing by macro-region, among the sociodemographic variables, there was a tendency for women with less education in the North, 60 and older in the Northeast, and those living without a partner in the South to not have a mammogram at least every 2 years. Variables of the intermediate level were important for the Central-West, where fewer women with some chronic disease underwent mammography, as well as those in the South and Southeast who assessed their health status negatively and those who did not exercise regularly in the South. At the proximal level, it was observed that Northeastern women without health insurance had a higher prevalence of no mammography, like those who did not see a doctor in the Southeast, Northeast, South and Central-West in the last year. Residents in the Southeast, Northeast and Central-West enrolled in a family health unit had a higher prevalence of not having the screening test.

Regarding the Brazilian literature, this is the first study to examine the relationship between sociodemographic aspects, health condition, lifestyle and use of health services and mammography in Brazil, and according to macro-region. The study was population-based, and the outcome variable was chosen from the questions of the individual questionnaire directed to the selected resident. Thus, the women themselves answered whether or not mammography was performed, reducing the possibility of information bias. However, the use of mammography reporting may still be subject to the interviewee’s memory bias, as she may respond to what she considers most appropriate, leading to an overestimation of the findings, but there is evidence that information provided in interviews may be used¹⁷17. Rauscher GH, Johnson TP, Cho YI, Walk JA. Accuracy of self-reported cancer-screening histories: a meta-analysis. Cancer Epidemiol Biomarkers Prev 2008; 17(4): 748-57. https://doi.org/10.1158/1055-9965.EPI-07-2629
https://doi.org/10.1158/1055-9965.EPI-07... . In addition, the type of study design limits the interpretation of the associations found.

In this study, it was observed that women 60 and older had a lower mammogram rate when compared to women aged 40 to 49 years, which corroborates other national and city studies in Brazil⁷7. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... ^,1010. Borges ZD, Wehrmeister FC, Gomes AP, Gonçalves H. Clinical breast examination and mammography: inequalities in Southern and Northeast Brazilian regions. Rev Bras Epidemiol 2016; 19(1): 1-13. https://doi.org/10.1590/1980-5497201600010001
https://doi.org/10.1590/1980-54972016000... ^,1111. Silva GA, Souza-Júnior PRB, Damacena GN, Szwarcwald CL. Early detection of breast cancer in Brazil: data from the National Health Survey, 2013. Rev Saúde Pública 2017; 51(Supl. 1): 14s. https://doi.org/10.1590/S1518-8787.2017051000191
https://doi.org/10.1590/S1518-8787.20170... ^,1818. Sclowitz ML, Menezes AMB, Gigante DP, Tessaro S. Condutas na prevenção secundária do câncer de mama e fatores associados. Rev Saúde Pública 2005; 39(3): 340-9.. This result may be linked to the recommendation of several Brazilian medical societies that indicate the examination starting at 40 years of age¹⁹19. Urban LA, Schaefer MB, Duarte DL, Santos RP, Maranhão NM, Kefalas AL, et al. Recommendations of Colégio Brasileiro de Radiologia e Diagnóstico por Imagem, Sociedade Brasileira de Mastologia, and Federação Brasileira das Associações de Ginecologia e Obstetrícia for imaging screening for breast cancer. Radiol Bras 2012; 45(6): 334-9. http://dx.doi.org/10.1590/S0100-39842012000600009
http://dx.doi.org/10.1590/S0100-39842012... . In addition, it may be linked to the wide opening for the examination in the private sector, while in SUS most of them fall within the age range for screening recommended by MS¹¹11. Silva GA, Souza-Júnior PRB, Damacena GN, Szwarcwald CL. Early detection of breast cancer in Brazil: data from the National Health Survey, 2013. Rev Saúde Pública 2017; 51(Supl. 1): 14s. https://doi.org/10.1590/S1518-8787.2017051000191
https://doi.org/10.1590/S1518-8787.20170... .

Mammography was less frequent among women who evaluated their health status negatively, which has also been reported in the literature⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... ^-77. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... ^,99. Rodrigues JD, Cruz MS, Paixão AN. Uma análise da prevenção do câncer de mama no Brasil. Ciênc Saúde Coletiva 2015; 20(10): 3163-76. http://dx.doi.org/10.1590/1413-812320152010.20822014
http://dx.doi.org/10.1590/1413-812320152... . Despite the expansion of mammography among women who consider their health status “poor/very poor”, between 2003 and 2008⁸8. Oliveira EXG, Pinheiro RS, Melo ECP, Carvalho MS. Condicionantes socioeconômicos e geográficos do acesso à mamografia no Brasil, 2003-2008. Ciênc Saúde Coletiva 2011; 16(9): 3649-64. http://dx.doi.org/10.1590/S1413-81232011001000002
http://dx.doi.org/10.1590/S1413-81232011... , it was observed that they still have difficulty in accessing mammography. This finding may result from the impairment of these women’s health, which may negatively affect their perception of needing to participate in breast cancer screening. This understanding demonstrates the need to promote comprehensive care throughout the care network.

Women who did not exercise regularly showed a higher prevalence of no mammogram. Therefore, it is inferred that those who exercised regularly had a better perception of care for their own health, because the adoption of this practice is considered a protective factor against the development of breast cancer, being one of the recommendations for the primary prevention of the disease²⁰20. Inumaru LE, da Silveira ÉA, Naves MMV. Fatores de risco e de proteção para câncer de mama: uma revisão sistemática. Cad Saúde Pública 2011; 27(7): 1259-70. http://dx.doi.org/10.1590/S0102-311X2011000700002
http://dx.doi.org/10.1590/S0102-311X2011... . This result is difficult to compare with other studies, because the categorization of the variable physical activity is diverse; however, in general, no relationship was found with getting a mammogram²¹21. Lee K, Lim HT, Park SM. Factors associated with use of breast cancer screening services by women aged ≥ 40 years in Korea: The Third Korea National Health and Nutrition Examination Survey 2005 (KNHANES III). BMC Cancer 2010; 10: 144. https://dx.doi.org/10.1186%2F1471-2407-10-144
https://dx.doi.org/10.1186%2F1471-2407-1... ^,2222. Ho SS, Choi KC, Wong CL, Chan CW, Chan HY, Tang WP, et al. Uptake of breast screening and associated factors among Hong Kong women aged≥50 years: a population-based survey. Public Health 2014; 128(11): 1009-16. https://doi.org/10.1016/j.puhe.2014.09.001
https://doi.org/10.1016/j.puhe.2014.09.0... .

The feature most strongly associated with not getting a mammogram in the last 2 years was not having a CBE in the last year, followed by not having a Pap smear in the last three years. Similar findings are found in the literature⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... . These associations are probably due to cervical and breast cancer prevention actions being coordinated by primary care and usually being done jointly as part of preventive care for women’s health. In this line, we highlight the importance of the active search of those women who do not get preventive examinations periodically. Lower mammography rate was also observed in women who did not see a doctor in the last year, in agreement with other studies⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... ^,77. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... . The lack of regular doctor visits may indicate difficulty in accessing the consultation and/or lack of self-care with health in general²³23. Novaes CO, Mattos IE. Prevalência e fatores associados a não utilização de mamografia em mulheres idosas. Cad Saúde Pública 2009; 25(Supl. 2): S310-20. http://dx.doi.org/10.1590/S0102-311X2009001400013
http://dx.doi.org/10.1590/S0102-311X2009... . Therefore, we believe increased access to doctor visits may have a positive impact on early detection of breast cancer.

In this regard, we emphasize the importance of primary care consultations in promoting the primary prevention and early detection of the disease. However, women enrolled in a family health unit had a higher prevalence of non-examination, which may indicate difficulty in accessing the mammography in the public health care setting. Thus, in addition to access to the screening test request and evaluation of the result by a health professional, women should be assured that they will be able to have the examination performed.

In this context, it is noteworthy that 53% of women who were not enrolled in a family health unit had no health insurance coverage, while among those who were enrolled, only 30% were covered (data not shown). This is a factor that may have reflected in the higher mammography prevalence seen in women not enrolled in a family health unit, since having health insurance coverage is still a determining factor in access to mammography⁶6. Lima-Costa MF, Matos DL. Prevalência e fatores associados à realização da mamografia na faixa etária de 50-69 anos: um estudo baseado na Pesquisa Nacional por Amostra de Domicílios (2003). Cad Saúde Pública 2007; 23(7): 1665-73. http://dx.doi.org/10.1590/S0102-311X2007000700018
http://dx.doi.org/10.1590/S0102-311X2007... ^,77. Novaes HMD, Braga PE, Schout D. Fatores associados à realização de exames preventivos para câncer nas mulheres brasileiras, PNAD 2003. Ciênc Saúde Coletiva 2006; 11(4): 1023-35. http://dx.doi.org/10.1590/S1413-81232006000400023
http://dx.doi.org/10.1590/S1413-81232006... ^,99. Rodrigues JD, Cruz MS, Paixão AN. Uma análise da prevenção do câncer de mama no Brasil. Ciênc Saúde Coletiva 2015; 20(10): 3163-76. http://dx.doi.org/10.1590/1413-812320152010.20822014
http://dx.doi.org/10.1590/1413-812320152... ^,1111. Silva GA, Souza-Júnior PRB, Damacena GN, Szwarcwald CL. Early detection of breast cancer in Brazil: data from the National Health Survey, 2013. Rev Saúde Pública 2017; 51(Supl. 1): 14s. https://doi.org/10.1590/S1518-8787.2017051000191
https://doi.org/10.1590/S1518-8787.20170... , which was also demonstrated in this study.

The literature indicates that adherence to prevention programs is linked to greater satisfaction with health professionals²⁴24. Sheppard VB, Wang J, Yi B, Harrison TM, Feng S, Huerta EE, et al. Are health-care relationships important for mammography adherence in Latinas? J Gen Intern Med 2008; 23(12): 2024-30. https://dx.doi.org/10.1007%2Fs11606-008-0815-6
https://dx.doi.org/10.1007%2Fs11606-008-... . Similarly, it was found in this study that women who felt discriminated by some health professional for some reason had a higher prevalence of not submitting to the screening test. Thus, the importance of the health team being prepared to act in face of the diversity of individuals is emphasized.

CONCLUSION

Efforts should be made to extend mammographic screening for women with lower education in the North and those 60 or older in the Northeast. In addition, our results addressed priority actions in health services, where it is necessary to improve women’s access to have mammography ordered and done. Besides, it is important to train health professionals on the subject, especially in primary care, to provide comprehensive care, including guidance on primary and secondary prevention of breast cancer in the scope of their actions.

From the knowledge of the factors related to not getting a mammogram, there is the challenge of formulating and implementing public policies in an equitable way, considering the groups most vulnerable to not having the examination performed. By doing so, it is expected that the policy of early breast cancer detection in the country will be strengthened, increasing the chances of early detection in the most diverse population groups, and finally having an impact on the reduction of deaths due to this disease.

References

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