Literature DB >> 28591356

Early detection of breast cancer in Brazil: data from the National Health Survey, 2013.

Gulnar Azevedo E Silva1, Paulo Roberto Borges de Souza-Júnior2, Giseli Nogueira Damacena2, Célia Landmann Szwarcwald2.   

Abstract

OBJECTIVE: To analyze whether the actions of early detection of breast cancer, initiated with the medical request for mammography, differ between users of the Brazilian Unified Health System (SUS) and those who have private health insurance.
METHODS: From the data collected in the National Health Survey, we estimated the proportions of women who had medical request for mammography according to presence or absence of private health insurance. For assessing the factors related to having mammography medical request, we estimated crude and adjusted odds ratios and respective 95%CI by logistic regression. We also analyzed the main reasons reported for not having performed mammography after medical request, as well as the time between examination and result.
RESULTS: Of the women interviewed, 66.7% had a medical request for mammography (59.4% among SUS users and 83.9% among those with private health insurance). Having private health insurance, higher education level, and being white were positively associated with having the medical request. Only 5.4% (95%CI 4.8-6.0) of women who received medical request failed to perform mammography - 7.6% were SUS users and 1.7% had health insurance. The most reported reasons for not being able to perform the examination were: not thinking it was necessary; having the test scheduled, but not yet performed; and not being able to schedule it. More than 70% of women received the result with less than one month from its execution.
CONCLUSIONS: The barriers to access a medical request for mammographic screening for breast cancer are higher among women who depend exclusively on SUS.

Entities:  

Mesh:

Year:  2017        PMID: 28591356      PMCID: PMC5676402          DOI: 10.1590/S1518-8787.2017051000191

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


INTRODUCTION

In Brazil, as in many other countries, breast cancer is the most common type of cancer among women. Mortality rates by the disease, estimated since 1980, show an increase in the five regions of the Country[1]. This increase can be explained, in part, by the increased incidence of the disease due to greater exposure of women to risk factors related to the urban lifestyle, which interferes directly in the gradient of exposure to reproductive factors. However, since the end of 1990, a decrease in mortality in the capitals of the South and Southeast regions can be observed. At the same time, a large annual increase in the rates of deaths among women from interior cities is perceived, mainly in the North and Northeast regions, which suggests that the reproductive and sexual changes, initiated in major urban centers, were quickly adopted by women of other cities, even in low-income areas. On the other hand, the reversal in mortality, which began in the capitals, became possible by the access to diagnostic and therapeutic means of women in the early stages of the disease[2]. The results of large randomized clinical trials published in the 1970s and 1980s[3,4] showed that mammographic screening would be able to reduce by 20%–30% the mortality by this malignant neoplasia. In fact, the introduction of population mammographic screening has contributed to decrease mortality in several developed countries, since the examination allows detection of tumors still in early stages of the disease, enabling the patients to have good response to the therapies available today[5,6]. In 2004, the Brazilian Ministry of Health released the document of Consensus for Control of Breast Cancer, recommending the annual clinical breast examination as important action for detecting the disease to women from the age of 40 and the mammographic screening every two years to women between the ages of 50 and 69[7]. Some surveys conducted in the Country since the 2000s estimated the coverage of mammography within the recommended age range from 50 to 69 years. The Household Survey on Risk Behavior and Reported Morbidity of Non-Communicable Diseases and Injuries, held in 2003 in 15 capitals, estimated that the mammography coverage in the two years preceding the survey varied between the surveyed cities – from 37% in Belém (PA) to 77% in Vitória (ES)[8]. In 2008, the National Household Sampling Survey (PNAD – Pesquisa Nacional por Amostragem de Domicílio) estimated a mammography coverage of 54.2% (95%CI 53.5–55.0) among women from 50 to 69 years in the two years preceding the interview, with a great difference between the North (35.3%) and Southeast (63.8%) regions[9]. In 2013, the National Health Survey (PNS - Pesquisa Nacional de Saúde) estimated, for this same age group, a 60.0% coverage (95%CI 58.8–61.3) for all Brazil, and a great variation amplitude between regions[a]. Based on population surveys, one can verify that the coverage self-reported by women of the capitals of the Country, when compared to that of women living in other cities, was already greater since 2003. From PNAD 2003 and VIGITEL 2007 data, authors estimated that the coverage of the exam in Brazilian capitals was 70%, ranging from 41.2% in Porto Velho (RO) to 82.2% in Florianópolis (SC)[10]. This scenario reinforces the hypothesis that the expansion of access to mammographic screening depends not only on the supply and quality of the exams, but also on the organization of the health-care network and accession of professionals to the existing guidelines. Thus, this study aimed to analyze whether the actions of early detection for breast cancer, initiated with the medical request for mammography, differ between users of the Brazilian Unified Health System (SUS) and those who have private health insurance.

METHODS

For this study, we used data collected in the PNS carried out by the Brazilian Ministry of Health in partnership with IBGE, which aimed to assess the health, lifestyle, and health-care of the adult population in Brazil[11]. PNS is a household survey that belongs to the Integrated System of Household Surveys (SIPD) of IBGE. It has a stratified and conglomerate sampling with three stages of selection. The census tracts formed the primary sampling units and, as part of SIPD, the selection of these units was obtained by simple random sampling, from the Master Sample. The stratification of the primary sampling units in PNS was the same used in the Master Sample[12]. In the second stage, a fixed number of households was selected in each primary sampling unit, from the National File of Addresses for Statistical Purposes. In the third stage, within each household sampled, a resident with 18 years or older was selected at random from a list of eligible residents built at the time of the interview. Of the 69,954 selected and occupied households in which residents were selected for interview, 60,202 individuals agreed to participate, which led to a response rate of 86%[11,13]. PNS data were collected by trained interviewers using handheld computers (personal digital assistant). The selected adults responded to the questionnaire on sociodemographic characteristics, health self-assessment, lifestyle, morbidity, accidents and violence, women’s health, children’s (under two years) health, oral health, elderly health, and health system performance. In addition, anthropometric data blood pressure were measured and biological material was collected. More details on the sampling process and data collection of PNS were described by Souza-Junior et al.[13]. The data of mammography for the population of women between 50 and 69 years were accessed in the module K of PNS “Health of individuals of 60 years or older and coverage of mammography among women of 50 years or older.” The module R of PNS, regarding women’s health, contained questions on the following variables: “Having medical request for mammography” and “Having performed the examination after the request and receiving the result,” as well as the respective time between each situation and reasons for not having done the exam after medical request and the time between performing the exam and receiving the result. Initially, we estimated the coverage of mammography among the target population of the screening (women between 50 and 69 years) from the proportion and respective 95% confidence intervals (95%CI) of women who reported having done the examination in the past two years, according to presence or absence of health insurance by regions of the Country. Then, we estimated the proportions and respective 95%CI of having medical request to perform mammography according to age group, with stratification between women using SUS and those with health insurance. For assessing the factors related to having mammography medical request, we estimated crude and adjusted odds ratios (OR) and respective 95%CI by logistic regression. For this analysis, we selected the following factors: age group (40–49; 50–59; 60–69; 70 or older); education level (without education or some elementary school; elementary or middle school or some high school; high school or some higher education; higher education degree); region of the Country; race/skin color (white; nonwhite); and having private health insurance. Among the women who could not perform mammography after having medical request, we estimated the frequencies and 95%CI of the most frequent reasons informed, according to presence or absence of health insurance. Additionally, we estimated the distribution of women according to the difference in time between examination and result, separating SUS users and those with health insurance into the following categories: less than 1 month; 1├ 3 months; 3├ 6 months; 6 months or more; has not yet received; never received. The analyses were carried out using the SPSS statistical program version 21.0[14]. For being a survey with stratification of the primary sampling units and selection by conglomerates in three stages, we considered the complex sampling design throughout the statistical analysis of data. PNS was approved by the Human Subject Research Ethics Committee of the Brazilian Ministry of Health (Opinion 328,159, June 26, 2013). All participants signed the informed consent form.

RESULTS

From the information reported in module K, among women from the target age group for screening breast cancer in Brazil (50 to 69 years), 60.0% (95%CI 58.8–61.3) performed a mammography in the past two years. This proportion ranged from 38.7% in the North region to 67.9% in the Southeast region. The proportion of women who performed the examination was much higher among those with health insurance (79.5%) when compared to SUS users (51.0%), condition that was repeated in all regions of the Country (Table 1).
Table 1

Coverage of mammography among women from 50 to 69 years with and without private health insurance, according to regions of Brazil. Brazil, 2013.

RegionAllWithout health insuranceWith health insurance



%95%CI%95%CI%95%CI
North38.736.0–41.531.929.1–34.869.563.5–74.9
Northeast47.945.7–50.141.038.6–43.477.473.2–81.0
Southeast67.965.9–69.859.356.8–61.881.478.8–83.7
South64.561.4–67.556.653.1–60.180.074.4–84.7
Midwest55.652.8–58.346.042.7–49.372.368.4–75.9
Brazil60.058.8–61.351.049.5–52.479.577.6–81.2
Regarding the information on having medical request and referrals, contained in the module R, 66.7% of women have had a mammography request made by a doctor, and this proportion was higher (72.7%) for women aged between 50 and 59 years (Table 2). However, the percentage of women who reported having had medical request for mammography presented great difference according to presence or absence of health insurance (83.9% and 59.3%, respectively). In addition, a higher number of women among those with health insurance was performing mammography outside the age range indicated for the population screening. For women from 40 to 49 years, 84.5% with health insurance reported having received medical request, a significantly higher ratio than that reported for SUS users (58.1%). Similarly, for women with 70 years or older, 83.9% with health insurance had the medical request, while only 59.4% of SUS users had it. Among those with health insurance, we draw attention to the similar proportions of women between 40 and 49 years and 60 and 69 years (84.5% and 83.5%, respectively) with mammography medical request (Table 2).
Table 2

Proportion of women who reported having had medical request for mammography by age group, according to presence or absence of private health insurance. Brazil, 2013.

Age group (years)AllWithout health insuranceWith health insurance



%95%CI%95%CI%95%CI
40–4965.963.9–67.758.155.8–60.384.581.4–87.0
50–5972.770.3–74.966.263.3–68.989.586.2–92.1
60–6968.265.5–70.861.358.1–64.383.578.6–87.4
≥ 7054.951.6–58.145.741.7–49.674.168.8–78.6
Total66.765.3–67.959.457.8–60.883.981.8–85.7
The reasons that were most positively associated with having had a mammography medical request were: having health insurance (OR = 2.60, 95%CI 2.20–3.07), being within the target age groups of the screening (OR 50–59 years = 1.47, 95%CI 1.27–1.71; OR 60–69 years = 1.20, 95%CI 1.03–1.41), and being white (OR = 1.23, 95%CI 1.08–1.40). Education level was also positively associated: the higher the education level, the greater the chance of having a mammography request. On the other hand, living in different regions than the Southeast presented lower chance of having mammography medical request (Table 3).
Table 3

Factors associated with having had mammography medical request. Brazil, 2013.

Factor crudeOR95%CIOR*95%CI
Age group (years)    
40–491.00-1.00-
50–591.381.20–1.591.471.27–1.71
60–691.110.96–1.291.201.03–1.41
≥ 700.630.54–0.740.660.56–0.79
Education level   
Illiterate/some elementary or middle school1.00-1.00-
Elementary or middle school/some high school1.561.32–1.841.271.06–1.52
High school/some higher education2.312.00–2.651.661.42–1.94
Higher education degree3.662.91–4.592.031.59–2.60
Color/race    
Nonwhite1.00-1.00-
White1.781.59–1.991.231.08–1.40
Region    
Southeast1.00-1.00-
North0.290.24–0.340.350.29–0.42
Northeast0.410.35–0.480.530.45–0.62
South0.770.65–0.920.780.65–0.94
Midwest0.600.51–0.700.620.53–0.73
Having health insurance   
No1.00-1.00-
Yes3.573.07–4.162.602.20–3.07

* Adjusted for all variables in the table.

* Adjusted for all variables in the table. Of the women who received medical request for mammography, 5.4% (95%CI 4.8–6.0) were unable to perform the examination. This percentage was more than four times higher among those who had no private health insurance when compared to those who had (7.6%, 95%CI 6.7–8.6 versus 1.7%, 95%CI 1.2–2.3, respectively). The most reported reasons for not being able to perform the exam after medical request were: not thinking it was necessary; having the test scheduled, but not yet performed; and not being able to schedule it (Table 4). The difference between those with private health insurance and SUS users who failed to schedule the mammography was great (3.7% and 20.0%, respectively). However, this observation should be viewed with caution because of the small number of women interviewed who composed some of the response categories for that question.
Table 4

Main reasons for not performing mammography after receiving medical request. Brazil, 2013.

ReasonsAllWithout health insuranceWith health insurance



n%95%CIn%95%CIn%95%CI
Scheduled examination14123.018.3–28.411521.216.3–27.12636.323.9–50.8
Did not think it was necessary16727.222.1–33.014727.121.6–33.42028.016.5–43.3
Failed to schedule11118.113.5–23.910820.014.8–26.533.71.5–8.7
Among the interviewees, 74.8% reported receiving the test results less than a month after it was performed. This percentage was higher for those who have health insurance (86.6%). Although only 0.3% of the interviewees had not received the test results, this percentage decreases from 0.47% among SUS users to 0.05% among those with private health insurance (Table 5).
Table 5

Time interval between performing and receiving the result of mammography. Brazil, 2013.

Time intervalAllWithout health insuranceWith health insurance



%95%CI%95%CI%95%CI
< 1 month74.873.2–76.467.365.2–69.486.684.5–88.5
1 3 months19.017.6–20.525.123.3–27.19.47.8–11.3
3 6 months1.71.4–2.12.31.8–2.80.80.5–1.4
≥ 6 months1.41.0–1.91.51.0–2.11.30.8–2.2
Not yet received2.31.9–3.02.92.2–3.71.50.9–2.5
Never received0.30.2–0.50.50.3–0.80.00.0–0.1

DISCUSSION

The coverage self-reported by women from 50 to 69 years about the performance of mammography in the past two years in Brazil, from PNS 2013 data, was 60.0%. This proportion is higher than that verified by PNAD 2008 (54.2%)[9], but still shows great variation between regions. Additionally, the coverage of mammography among women in the recommended age group (50–69 years) varies greatly between those who depend exclusively on SUS (51.0%) and those with private health insurance (79.5%). In 2004, the Brazilian Ministry of Health released the first document of Consensus for Control of Breast Cancer, which established the age group of 50–69 years as target of the screening. This age group was confirmed as target, in 2015, in the Clinical Guidelines for Control of Breast Cancer, also approved by the Brazilian Ministry of Health, after extensive literature review and public consultation[15]. Although there is much discussion around this prioritization of age, current scientific evidence confirms that women in this age group are those that most benefit from the mammographic screening[5,16]. This study allows evaluating, for the first time with national representation, fundamental steps and access barriers to ensure the effectiveness of a screening program, such as having the request made by a doctor and the reasons affecting this condition. Our results showed that 66.7% of the women interviewed had a medical request for mammography, but, again, we observed great variation between SUS users (59.4%) and those with private health insurance (83.9%). We draw attention, however, to the fact that the higher proportions of women with medical requests among those met by SUS belong to the age group of 50–59 and 60–69 years, suggesting that SUS services have a tendency to follow the recommendations of the Ministry of Health. Among women with private health insurance, the percentage of mammography request in the age group of 40–49 years (84.5%) is similar to that found among women of 60–69 years (83.5%), which are part of the target population of the screening. The scientific evidence is clear in showing that the balance between the benefits and risks of mammographic screening is favorable for women between 50 and 69 years. Younger women tend to present a higher amount of false positive results, which may bring damages due to overdiagnosis and overtreatment[17]. The cumulative risk among women from 40 to 49 years, annually subjected to a mammography, of having a false positive result in 10 years is about 60%[18]. The factors that were most positively associated with having a mammography medical request are: having private health insurance, high education level, and being white. Live in the North and Northeast regions reduced the chances of having a mammography medical request. Other studies conducted in the Country have already indicated the difficulty of access among women from the economically poorest regions of Brazil[19,20]. However, it is possible to observe that, once having the medical application, almost all women can perform the mammography. Only 5.4% of women who had medical request for mammography had not yet carried out the examination at the time of the interview. However, this percentage was more than four times higher among those who had no private health insurance when compared to those who had (7.6% versus 1.7%, respectively). Although this datum should be viewed with caution due to the small number of observations, the great difference found between SUS users and those with health insurance that failed to schedule the examination called our attention (20% and 3.7%, respectively). Based on data recorded in the SUS information systems, it is possible to note the existence of major inequalities between the regions of the Country not only for mammography examination, but also for the essential steps to ensure the success of a screening program: access to diagnosis and treatment for women with suspicious screening tests[19]. As identified by the coverage self-reported in PNS, the data of the SUS health information systems confirm the North region, followed by the Northeast, as the regions that stand out by presenting lower possibility of early detection and access to surgery. Although lower mammography coverage has been identified among women who depend on SUS, an expansion in the supply of mammography has been observed in the Country. Data from PNAD 2003 and 2008 had already shown an increase of 42% among women without health insurance, greater than that verified between those with health insurance[20]. The data presented here strengthen what was already observed in other studies, which show that the access barriers for screening breast cancer are higher among the population living outside major urban centers and depending exclusively on services provided by SUS. Our results indicate that, perhaps, the first important access barrier to early detection of breast cancer is getting a medical request for performing mammography. Almost 70% of the interviewed 40-year-old or older women had a medical request for mammography, and this percentage was higher among those who had private health insurance. However, we observed that, once having the medical request, only 5% of women were unable to perform the examination; but, again, we noted inequality of access when the data were stratified by having private health insurance or not. Less than 2% of women covered by private health insurance failed to perform the examination after medical request. It is important to note that the gains in relation to population mammographic screening should be considered and evaluated constantly in the light of scientific knowledge[21,22], within what is proposed as organized strategy. Surely, there are plenty of existing inequalities in the access to health-care, and the screening depends on a number of conditions that begin with women’s awareness and professional compliance with the clinical guidelines currently in force. Therefore, the implementation of the organized screening for breast cancer can set the capacity for early detection of cases and thus direct efforts to the appropriate treatment for effectively decreasing mortality by breast cancer. Efforts should be made to expand the actions of early detection of breast cancer, reducing the inequalities of access in all stages of this process and ensuring that all women can benefit from the appropriate treatment. Warning strategies to the problem and investment in the training of professionals in the health-care network, with rationalization of the provision of services, should be prioritized within the national cancer control policy and in the comprehensive care to women.
  14 in total

1.  Estimates of mammography coverage according to health surveys in Brazil.

Authors:  Francisco Viacava; Paulo Roberto Borges de Souza-Junior; Rodrigo da Silva Moreira
Journal:  Rev Saude Publica       Date:  2009-11       Impact factor: 2.106

2.  Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement.

Authors:  Albert L Siu
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

3.  Evidence on screening for breast cancer from a randomized trial.

Authors:  S Shapiro
Journal:  Cancer       Date:  1977-06       Impact factor: 6.860

4.  Cancer mortality trends in Brazilian state capitals and other municipalities between 1980 and 2006.

Authors:  Gulnar Azevedo e Silva; Carmen Justina Gamarra; Vania Reis Girianelli; Joaquim Gonçalves Valente
Journal:  Rev Saude Publica       Date:  2011-10-14       Impact factor: 2.106

Review 5.  The descriptive epidemiology of female breast cancer: an international comparison of screening, incidence, survival and mortality.

Authors:  Danny R Youlden; Susanna M Cramb; Nathan A M Dunn; Jennifer M Muller; Christopher M Pyke; Peter D Baade
Journal:  Cancer Epidemiol       Date:  2012-03-27       Impact factor: 2.984

6.  [Access to early breast cancer diagnosis in the Brazilian Unified National Health System: an analysis of data from the Health Information System].

Authors:  Gulnar Azevedo E Silva; Maria Teresa Bustamante-Teixeira; Estela M L Aquino; Jeane Glaucia Tomazelli; Isabel Dos-Santos-Silva
Journal:  Cad Saude Publica       Date:  2014-07       Impact factor: 1.632

Review 7.  A systematic assessment of benefits and risks to guide breast cancer screening decisions.

Authors:  Lydia E Pace; Nancy L Keating
Journal:  JAMA       Date:  2014-04-02       Impact factor: 56.272

8.  Disparities in cervical and breast cancer mortality in Brazil.

Authors:  Vania Reis Girianelli; Carmen Justina Gamarra; Gulnar Azevedo e Silva
Journal:  Rev Saude Publica       Date:  2014-06       Impact factor: 2.106

Review 9.  The benefits and harms of breast cancer screening: an independent review.

Authors: 
Journal:  Lancet       Date:  2012-10-30       Impact factor: 79.321

10.  Evaluation issues in the Swedish Two-County Trial of breast cancer screening: An historical review.

Authors:  Laszlo Tabar; Tony Hsiu-Hsi Chen; Chen-Yang Hsu; Wendy Yi-Ying Wu; Amy Ming-Fang Yen; Sam Li-Sheng Chen; Sherry Yueh-Hsia Chiu; Jean Ching-Yuan Fann; Kerri Beckmann; Robert A Smith; Stephen W Duffy
Journal:  J Med Screen       Date:  2016-06-23       Impact factor: 2.136

View more
  8 in total

1.  Population-based surveys and monitoring of noncommunicable diseases.

Authors:  Deborah Carvalho Malta; Célia Landmann Szwarcwald
Journal:  Rev Saude Publica       Date:  2017-06-01       Impact factor: 2.106

2.  Mastectomized women's perception of breast cancer early detection.

Authors:  Indara Cavalcante Bezerra; Raimunda Magalhães da Silva; Cleoneide Paulo Oliveira; Christina César Praça Brasil; Mardênia Gomes Ferreira Vasconcelos; Marli Vilela Mamede; Marnewton Tadeu Pinheiro de Oliveira
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

3.  Ethnoracial and social trends in breast cancer staging at diagnosis in Brazil, 2001-14: a case only analysis.

Authors:  Isabel Dos-Santos-Silva; Bianca L De Stavola; Nelson L Renna; Mário C Nogueira; Estela M L Aquino; Maria Teresa Bustamante-Teixeira; Gulnar Azevedo E Silva
Journal:  Lancet Glob Health       Date:  2019-06       Impact factor: 26.763

4.  Stage at diagnosis and stage-specific survival of breast cancer in Latin America and the Caribbean: A systematic review and meta-analysis.

Authors:  Lívia Lovato Pires de Lemos; Mirian Carvalho de Souza; Daniela Pena Moreira; Paulo Henrique Ribeiro Fernandes Almeida; Brian Godman; Stéphane Verguet; Augusto Afonso Guerra; Mariangela Leal Cherchiglia
Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

5.  Describing mortality trends for major cancer sites in 133 intermediate regions of Brazil and an ecological study of its causes.

Authors:  Alessandro Bigoni; José Leopoldo Ferreira Antunes; Elisabete Weiderpass; Kristina Kjærheim
Journal:  BMC Cancer       Date:  2019-10-11       Impact factor: 4.430

6.  The Revised Champion's Health Belief Model Scale: Predictive Validity Among Brazilian Women.

Authors:  Camila Brasil Moreira; V Susan Dahinten; A Fuchsia Howard; Ana Fátima Carvalho Fernandes
Journal:  SAGE Open Nurs       Date:  2020-07-30

Review 7.  Challenge of Incorporating New Drugs for Breast Cancer in Brazil: A Proposed Framework for Improving Access to Innovative Therapies.

Authors:  Carlos Barrios; Ruffo Freitas-Junior; Sandro Martins; Jose Bines; Maria Del Pilar Estevez-Diz; Maira Caleffi
Journal:  JCO Glob Oncol       Date:  2021-04

8.  Mortality due to breast cancer in a region of high socioeconomic vulnerability in Brazil: Analysis of the effect of age-period and cohort.

Authors:  Juliana Dantas de Araújo Santos Camargo; Juliano Dos Santos; Taynãna César Simões; Jovanka Bittencourt Leite de Carvalho; Glauber Weder Dos Santos Silva; Eder Samuel Oliveira Dantas; Weverton Thiago da Silva Rodrigues; Flávio Henrique Miranda de Araújo Freire; Karina Cardoso Meira
Journal:  PLoS One       Date:  2021-08-13       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.