Login | Register | Forgot your password? | Contact | Español |
Email: Password:

Medwave se preocupa por su privacidad y la seguridad de sus datos personales.
Para poder enviarle a su dirección de correo electrónico su contraseña, es necesario que ingrese su e-mail.


Research article
Medwave 2019;19(9):e7701 doi: 10.5867/medwave.2019.09.7701
Use of mammography in Peruvian women: An analysis of the 2018 Demographic and Health Survey
Akram Hernández-Vásquez, Horacio Chacón-Torrico
References | Download PDF |
To Download PDF must login.
Print | A(+) A(-) | Easy read

Key Words: mammography, health surveys, peru

Abstract

Introduction
Breast cancer is the second most prevalent neoplasm in women after cervical cancer in Peru. It is also the third leading cause of female mortality. The implementation of screening programs using mammography has led to a considerable reduction in the mortality of this cancer in high-income countries.

Objectives
To analyze the factors associated with mammography use in Peruvian women between the ages of 40 and 59.

Methods
Secondary analysis of the 2018 Demographic and Health Survey in Peru. The national representative sample consisted of 4822 women between the ages of 40 and 59. The main outcome was the use of mammography during the last 24 months, with which we calculated percentages and crude and adjusted prevalence ratios (PR).

Results
16.9% of the surveyed women reported a mammography exam. A higher proportion of mammography use was observed in women with a higher level of education (30.1%), higher wealth quintile (34.2%) and those from capital cities (26.9%). Multivariate analysis showed that only the highest wealth index quintile (prevalence ratio: 5.75; 95% confidence interval: 2.97 to 11.15) compared to the lowest quintile; and the 55 to 59 age group (prevalence ratio: 1.83; 95% confidence interval: 1.31 to 2.55) compared to the 40 to 44 age group, were significantly associated with mammography.

Conclusions
The use of mammography as a preventive examination for breast cancer in Peru is still low compared to other countries. The association of mammography with the better-off quintile shows the inequalities of access to preventive health in the country.


 

Key ideas

  • Breast cancer is the most common malignancy in women worldwide. However, mammograms have decreased mortality by this disease in high-income countries.
  • Knowledge of the factors associated with mammography use is a key aspect in planning large-scale prevention programs.
  • The limitations of this study include the cross-sectional nature of this study which does not allow the determination of causality among the variables of interest and the use of a secondary data source which induces a lack of data precision.
Introduction

Globally, breast cancer is the most frequent neoplasm in women, attributing approximately 24% of the total of all neoplasms in females[1]. In Peru, breast cancer is the second most prevalent neoplasm in women after cervical cancer, with an estimated annual incidence of 26.35 new cases per 100 000 inhabitants, and it is also the third leading neoplastic cause of mortality in women[2].

It has been estimated that mortality by breast cancer has reduced by 13 to 33% due to the implementation of mammogram screening programs worldwide[3],[4]. In high-income countries, the five-year survival rate for breast cancer increased to more than 80% during the period 1995 to 2009, with breast cancer screening programs being attributed as one of the largest determinants of this increase[5]. However, the high cost of these programs means that their implementation in low- and middle-income countries is often deferred, despite their cost-effectiveness[6].

The World Health Survey reported that the rate of mammography in low-income countries was approximately 2.2% in the five years prior to the survey[7], with this rate for the same period exceeding 60% in high-income countries[8]. These notable differences are thought to be determined in part by the high costs and limited access to these exams in low resource settings[9]. In Peru, in 2017, the Demographic and Family Health Survey (Encuesta Demográfica y de Salud Familiar [ENDES]) reported that 17.1% of women between 40 and 59 years had undergone mammograms during the last 24 months[10].

Knowledge of the factors associated with mammography is a vital aspect of planning large scale prevention programs. Previous studies have suggested that non-performance of mammograms was associated with lifestyle factors such as alcoholism, poor physical activity and smoking[11],[12],[13], as well as sociodemographic factors, such as low levels of education, low incomes and immigration status[6],[14],[15]. Quantifying these factors can contribute to proper planning and prioritization of preventive programs, in addition to helping to overcome the barriers to their implementation.

Although in Peru the ENDES provides descriptive information annually about the use of mammography services in women between 40 and 59 years, no information is available for analyzing and evaluating the characteristics related to greater or lesser use of mammography in this population group. Therefore, the objective of the present study was to analyze the bio-socio-demographic factors associated with the performance of mammograms in Peruvian women between 40 and 59 years of age in 2018.

Methods

Design and study population
A secondary analysis of the ENDES survey 2018 was executed by the National Institute of Statistics and Information Technology of Peru (INEI) with the aim of obtaining information on health issues of Peruvian inhabitants on life habits, maternal and child health, use of health services, communicable and chronic diseases, among others[16]. The sampling and analysis unit were households and people residing at home, respectively. More details on the sample design, procedures, and data collection can be found in the ENDES technical report.

A total of 33 794 inhabitants over the age of 15 with complete data were included in the 2018 ENDES health questionnaire. The sample selected for this study consisted of women aged 40 to 59.

Variables and measurements
The main variable of this study was the performance of mammography up to 24 months prior to the survey. The independent variables considered in the analysis were: age groups (grouped in quinquennials), educational level (without education or initial/primary/secondary/higher), wealth quintile (grouped into five quintiles), geographical domain (field, village, small city, capital), marital status (unmarried/married or cohabiting/other), smoking (yes/no) assessed by cigarette consumption in the last 30 days, self-report of diabetes diagnosis by a doctor (yes/no), nutritional status according to body mass index of overweight/obesity (<25/25 or more), and depression (yes/no) evaluated by a score of 10 or more points in the Patient Health Questionnaire 9 (PHQ-9) scale. Most variables were included using the Andersen service access model as the reference[17],[18].

Statistical analysis

The software Stata 14.2 (Stata Corp, College Station, TX, US) was used for data analysis. Means and standard deviations were used to evaluate the quantitative variables, and weighted proportions were used for the categorical variables. Evaluation of the association among the study variables was performed using the chi-square test. The association between mammography and independent variables was then measured using generalized linear models (GLM) of the Poisson family with raw and adjusted link function (log), reporting prevalence ratios (PR) together with their 95% confidence intervals (95% CI). The inclusion of variables in the adjusted model took into account the variables that were significant in the crude analysis. All analyses considered the complex sampling and weighting factor of the ENDES, considering a p-value of less than 0.05 as significant.

Ethical considerations
The conduct of the study did not require the approval of an ethics committee because it is an analysis of aggregated secondary data that is in the public domain and does not allow the identification of the participants assessed. The ENDES 2018 databases can be freely obtained and downloaded from the INEI web portal.

Results

The total sample analyzed was composed of 4822 women between 40 and 59 years of age, with a mean age of 48.1 years. Of these, 16.9% reported having had a mammogram during the two years prior to the survey. A comparatively high proportion was also observed in women with higher education (30.1%), greater wealth quintile (34.2%), and those from a large city (26.9%). Smoking, previous diagnosis of diabetes or obesity were not related to a higher prevalence of mammography use. The remaining characteristics of the women and the percentages of mammography in the last two years are shown in Table 1.

Table 1. Characteristics of the women included in the study (N=4822).

The same variables were used to construct the crude and adjusted models for the estimation of the PRs of mammography (Table 2). In the bivariate analysis, the variables age group, educational level, wealth quintile, geographical domain, and smoking were significantly associated with the use of mammograms. Of these, the variables showing the greatest association in all their categories were educational level, the wealth quintile, and geographic domain (p < 0.001). The PR of the highest wealth category (quintile 5) in the multivariate wealth quintile analysis was 5.75 (95% CI: 2.97 to 11.15; p < 0.001). Similarly, the age of women was associated with increased use of mammograms with an adjusted PR of 1.83 (95% CI: 1.31 to 2.55). The other variables showed no association in the multivariate analysis.

Tabla 2. Análisis de los factores asociados a la realización de mamografías.

Discussion

The proportion of Peruvian women between 40 and 59 years who had had a mammogram in the 24 months prior to the survey and the associated factors were evaluated. We found that in this population group, 16.9% (95% CI: 15.0 to 18.8) had undergone mammography before the ENDES 2018 survey. This figure was not statistically different from the results of the ENDES 2014 survey (18.7%)[10].

In Peru, two out of every ten women in the age group who require mammography have done so in the last two years. However, this figure is comparatively low compared to previous studies in other countries in which 54.5 to 80. 0% of women had undergone mammography in the previous 24 months[19],[20]. The reasons for the difference may be due to the higher age cut-points used (up to 69 years) with which higher percentages of performing this test would be expected. On the other hand, the high percentages of mammography in high-income countries could be due to the more developed health strategies of prevention of breast cancer implemented as part of the health systems and individual behaviors or awareness towards better preventive practices in health.

We also found that the percentages of mammography were higher among women with a higher educational level and wealth quintile compared to those with a lower educational level and wealth quintile. Furthermore, the multivariate analysis showed that the higher the wealth quintile, the greater the probability of performing mammography. In this regard, previous studies have reported that socioeconomic level is a factor associated with higher rates of use of mammography services[21],[22],[23]. In Peru, 55% of the mammography equipment available can be found in the private sector[24] for women willing to pay for this service. Thus, increased economic resources appear to be the main and major determinant of the use of mammography services according to our findings, being necessary to improve the offer of this service in the public sector where the majority of the population is served, as well as to provide financial protection for women with lower resources.

On the other hand, we found no association among the nutritional status of women, the presence of comorbidities, smoking, and the geographical domain of residence with a higher percentage of mammography. Previous studies have shown varying results concerning the association between smoking and mammography[11],[12],[25]. However, regarding nutritional status, Lagerlund and col. reported an association between the presence of obesity and the use of mammograms (aOR = 1.14)[12]. Apparently, these associated characteristics were specific for each country in which they had been measured as they show great heterogeneity throughout the literature. Prospective population-based studies are necessary to elucidate the relationship of these variables with the use of mammography.

Among the main limitations of the study it should be mentioned that since it was a cross-sectional study, causality could not be established among the variables of interest. Likewise, there could be a lack of precision of the data as it is a study of secondary data. However, ENDES is a population-based survey that has quality control procedures and is designed to study health issues in the format of demographic and health surveys[26]. It is currently the only official source of population information that collects information on cancer prevention measures in Peruvian women.

Conclusions

Considering the different characteristics of breast cancer screening and prevention programs in each country, the findings presented make it difficult to compare them with other population-based studies. Specifically, in Peru, fragmentation of the health system makes the development and implementation of national prevention programs more complex.

The present study highlights the latent need to prioritize cancer prevention plans such as mammograms, taking into account the limited access to this procedure determined by purchasing power gaps.

It is necessary to implement breast cancer screening strategies to reach population groups at risk, especially in Peruvian women who fail to perform periodic mammograms for socioeconomic or geographic reasons.

Notes

Roles and authorship contributions
AHV: conceptualization, supervision, methodology, data curation, and administration of the project. AHV and HCT: formal data analysis, validation, writing, review, and editing.

Acknowledgments
The authors would like to thank the Instituto Nacional de Estadística e Informática of Peru for making the database available. The datasets are available at Microdatos INEI: http://iinei.inei.gob.pe/microdatos/

Competing interests
The authors declare that they have no competing interests.

Funding
The authors declare that there were no external sources of funding.

Table 1. Characteristics of the women included in the study (N=4822).
Tabla 2. Análisis de los factores asociados a la realización de mamografías.
Licencia Creative Commons Esta obra de Medwave está bajo una licencia Creative Commons Atribución-NoComercial 3.0 Unported. Esta licencia permite el uso, distribución y reproducción del artículo en cualquier medio, siempre y cuando se otorgue el crédito correspondiente al autor del artículo y al medio en que se publica, en este caso, Medwave.

 

Introducción
En Perú, el cáncer de mama es la segunda neoplasia más prevalente y la tercera causa neoplásica de mayor mortalidad en mujeres. La implementación de programas de tamizaje mediante mamografías ha reducido considerablemente la mortalidad por cáncer de mama en países de altos ingresos.

Objetivos
Analizar los factores bio-sociodemográficos asociados a la realización de mamografías en mujeres peruanas de 40 a 59 años.

Métodos
Análisis secundario de la Encuesta Demográfica y de Salud Familiar 2018 realizada en Perú. La muestra de representatividad nacional consistió en 4822 mujeres de 40 a 59 años. Se consideró como variable principal la realización de una mamografía en los últimos 24 meses, con lo cual se calcularon proporciones ponderadas y razones de prevalencia crudas y ajustadas.

Resultados
El 16,9% de las mujeres encuestadas reportó la realización de mamografía. La mayor proporción de realización de mamografías se encontró en mujeres con nivel educativo superior (30,1%), mayor quintil de riqueza (34,2%) y aquellas provenientes de ciudad tipo capital (26,9%). El análisis multivariado mostró que solo el mayor quintil de riqueza (razón de prevalencias: 5,75; intervalo de confianza 95%: 2,97 a 11,15) comparado con el menor quintil, y el grupo etario de 55 a 59 años (razón de prevalencias: 1,83; intervalo de confianza 95%: 1,31 a 2,55) comparado con mujeres de 40 a 44 años; estuvieron asociados significativamente con la realización de mamografías en los últimos 24 meses.

Conclusiones
La realización de mamografía como examen preventivo de cáncer de mama en Perú aún es baja en comparación a otros países. La asociación de la realización de mamografía con el quintil de riqueza evidencia las desigualdades de acceso a salud preventiva en el país.

Authors: Akram Hernández-Vásquez[1], Horacio Chacón-Torrico[2]

Affiliation:
[1] Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Perú
[2] Facultad de Medicina Humana, Universidad Científica del Sur, Lima, Perú

E-mail: ahernandez@usil.edu.pe


Twitter: @akramhernandez

Author address:
[1] Universidad San Ignacio de Loyola
550 La Fontana
Av. La Molina 00012
Lima
Perú

Citation: Hernández-Vásquez A, Chacón-Torrico H. Use of mammography in Peruvian women: An analysis of the 2018 Demographic and Health Survey . Medwave 2019;19(9):e7701 doi: 10.5867/medwave.2019.09.7701

Submission date: 1/7/2019

Acceptance date: 4/9/2019

Publication date: 11/10/2019

Origin: not commissioned

Type of review: reviewed by two external peer reviewers, double-blind

PubMed record

Comments (0)

We are pleased to have your comment on one of our articles. Your comment will be published as soon as it is posted. However, Medwave reserves the right to remove it later if the editors consider your comment to be: offensive in some sense, irrelevant, trivial, contains grammatical mistakes, contains political harangues, appears to be advertising, contains data from a particular person or suggests the need for changes in practice in terms of diagnostic, preventive or therapeutic interventions, if that evidence has not previously been published in a peer-reviewed journal.

No comments on this article.


To comment please log in

Medwave provides HTML and PDF download counts as well as other harvested interaction metrics.

There may be a 48-hour delay for most recent metrics to be posted.

  1. World Health Organization. Press Release N° 263: Latest global cancer data. WHO 2018. | Link |
  2. World Health Organization. Cancer country profiles 2014. 2014. | Link |
  3. Health Organization W. WHO Position Paper on Mammography Screening Geneva: World Health Organization; 2014. | Link |
  4. Chen TH, Yen AM, Fann JC, Gordon P, Chen SL, Chiu SY, et al. Clarifying the debate on population-based screening for breast cancer with mammography: A systematic review of randomized controlled trials on mammography with Bayesian meta-analysis and causal model. Medicine (Baltimore). 2017 Jan;96(3):e5684. | CrossRef | PubMed |
  5. Allemani C, Weir HK, Carreira H, Harewood R, Spika D, Wang XS, et al. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet. 2015 Mar 14;385(9972):977-1010. | CrossRef | PubMed |
  6. Martín-López R, Jiménez-García R, Lopez-de-Andres A, Hernández-Barrera V, Jiménez-Trujillo I, Gil-de-Miguel A, et al. Inequalities in uptake of breast cancer screening in Spain: analysis of a cross-sectional national survey. Public Health. 2013 Sep;127(9):822-7. | CrossRef | PubMed |
  7. Akinyemiju TF. Socio-economic and health access determinants of breast and cervical cancer screening in low-income countries: analysis of the World Health Survey. PLoS One. 2012;7(11):e48834. | CrossRef | PubMed |
  8. Gakidou E, Nordhagen S, Obermeyer Z. Coverage of cervical cancer screening in 57 countries: low average levels and large inequalities. PLoS Med. 2008 Jun 17;5(6):e132. | CrossRef | PubMed |
  9. McAlearney AS, Reeves KW, Tatum C, Paskett ED. Cost as a barrier to screening mammography among underserved women. Ethn Health. 2007 Apr;12(2):189-203. | PubMed |
  10. Instituto Nacional de Estadística e Informática. Peru: enfermedades no transmisibles y transmisibles, 2017. INEI 2018. | Link |
  11. Martín-López R, Hernández-Barrera V, De Andres AL, Garrido PC, De Miguel AG, García RJ. Breast and cervical cancer screening in Spain and predictors of adherence. Eur J Cancer Prev. 2010 May;19(3):239-45. | CrossRef | PubMed |
  12. Lagerlund M, Drake I, Wirfält E, Sontrop JM, Zackrisson S. Health-related lifestyle factors and mammography screening attendance in a Swedish cohort study. Eur J Cancer Prev. 2015 Jan;24(1):44-50. | CrossRef | PubMed |
  13. Bryan L, Westmaas L, Alcaraz K, Jemal A. Cigarette smoking and cancer screening underutilization by state: BRFSS 2010. Nicotine Tob Res. 2014 Sep;16(9):1183-9. | CrossRef | PubMed |
  14. Duport N. Characteristics of women using organized or opportunistic breast cancer screening in France. Analysis of the 2006 French Health, Health Care and Insurance Survey. Rev Epidemiol Sante Publique 2012;60:421-30. | CrossRef | PubMed |
  15. Andreeva VA, Pokhrel P. Breast cancer screening utilization among Eastern European immigrant women worldwide: a systematic literature review and a focus on psychosocial barriers. Psychooncology. 2013 Dec;22(12):2664-75. | CrossRef | PubMed |
  16. Hernández-Vásquez A, Chacón-Torrico H. Manipulación, análisis y visualización de datos de la Encuesta Demográfica y de Salud Familiar con el programa R. Rev Peru Med Exp Salud Publica 2019;36:128-33. | CrossRef | PubMed |
  17. Aday LA, Andersen R. A framework for the study of access to medical care. Health Serv Res. 1974 Fall;9(3):208-20. | PubMed |
  18. Babitsch B, Gohl D, von Lengerke T. Re-revisiting Andersen's Behavioral Model of Health Services Use: a systematic review of studies from 1998-2011. Psychosoc Med. 2012;9:Doc11. | CrossRef | PubMed |
  19. Theme Filha MM, Leal MD, Oliveira EF, Esteves-Pereira AP, Gama SG. Regional and social inequalities in the performance of Pap test and screening mammography and their correlation with lifestyle: Brazilian national health survey, 2013. Int J Equity Health. 2016 Nov 17;15(1):136. | CrossRef | PubMed |
  20. Chkotua S, Peleteiro B. Mammography Use in Portugal: National Health Survey 2014. Prev Chronic Dis. 2017 Oct 19;14:E100. | CrossRef | PubMed |
  21. Serral G, Borrell C, Puigpinós I Riera R. [Socioeconomic inequalities in mammography screening in Spanish women aged 45 to 69]. Gac Sanit. 2018 Jan-Feb;32(1):61-67. | CrossRef | PubMed |
  22. Menvielle G, Richard JB, Ringa V, Dray-Spira R, Beck F. To what extent is women's economic situation associated with cancer screening uptake when nationwide screening exists? A study of breast and cervical cancer screening in France in 2010. Cancer Causes Control. 2014 Aug;25(8):977-83. | CrossRef | PubMed |
  23. Bishwajit G, Kpoghomou MA. Urban-rural differentials in the uptake of mammography and cervical cancer screening in Kenya. Journal of Cancer Policy 2017;12:43-8. | CrossRef |
  24. Ministerio de Salud. Plan nacional para la prevención y control del cáncer de mama en el Perú (2019-2021). MINSA 2017. | Link |
  25. Eichholzer M, Richard A, Rohrmann S, Schmid SM, Leo C, Huang DJ, et al. Breast cancer screening attendance in two Swiss regions dominated by opportunistic or organized screening. BMC Health Serv Res. 2016 Sep 23;16(1):519. | PubMed |
  26. Measure DHS. [on line]. | Link |
World Health Organization. Press Release N° 263: Latest global cancer data. WHO 2018. | Link |

World Health Organization. Cancer country profiles 2014. 2014. | Link |

Health Organization W. WHO Position Paper on Mammography Screening Geneva: World Health Organization; 2014. | Link |

Chen TH, Yen AM, Fann JC, Gordon P, Chen SL, Chiu SY, et al. Clarifying the debate on population-based screening for breast cancer with mammography: A systematic review of randomized controlled trials on mammography with Bayesian meta-analysis and causal model. Medicine (Baltimore). 2017 Jan;96(3):e5684. | CrossRef | PubMed |

Allemani C, Weir HK, Carreira H, Harewood R, Spika D, Wang XS, et al. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet. 2015 Mar 14;385(9972):977-1010. | CrossRef | PubMed |

Martín-López R, Jiménez-García R, Lopez-de-Andres A, Hernández-Barrera V, Jiménez-Trujillo I, Gil-de-Miguel A, et al. Inequalities in uptake of breast cancer screening in Spain: analysis of a cross-sectional national survey. Public Health. 2013 Sep;127(9):822-7. | CrossRef | PubMed |

Akinyemiju TF. Socio-economic and health access determinants of breast and cervical cancer screening in low-income countries: analysis of the World Health Survey. PLoS One. 2012;7(11):e48834. | CrossRef | PubMed |

Gakidou E, Nordhagen S, Obermeyer Z. Coverage of cervical cancer screening in 57 countries: low average levels and large inequalities. PLoS Med. 2008 Jun 17;5(6):e132. | CrossRef | PubMed |

McAlearney AS, Reeves KW, Tatum C, Paskett ED. Cost as a barrier to screening mammography among underserved women. Ethn Health. 2007 Apr;12(2):189-203. | PubMed |

Instituto Nacional de Estadística e Informática. Peru: enfermedades no transmisibles y transmisibles, 2017. INEI 2018. | Link |

Martín-López R, Hernández-Barrera V, De Andres AL, Garrido PC, De Miguel AG, García RJ. Breast and cervical cancer screening in Spain and predictors of adherence. Eur J Cancer Prev. 2010 May;19(3):239-45. | CrossRef | PubMed |

Lagerlund M, Drake I, Wirfält E, Sontrop JM, Zackrisson S. Health-related lifestyle factors and mammography screening attendance in a Swedish cohort study. Eur J Cancer Prev. 2015 Jan;24(1):44-50. | CrossRef | PubMed |

Bryan L, Westmaas L, Alcaraz K, Jemal A. Cigarette smoking and cancer screening underutilization by state: BRFSS 2010. Nicotine Tob Res. 2014 Sep;16(9):1183-9. | CrossRef | PubMed |

Duport N. Characteristics of women using organized or opportunistic breast cancer screening in France. Analysis of the 2006 French Health, Health Care and Insurance Survey. Rev Epidemiol Sante Publique 2012;60:421-30. | CrossRef | PubMed |

Andreeva VA, Pokhrel P. Breast cancer screening utilization among Eastern European immigrant women worldwide: a systematic literature review and a focus on psychosocial barriers. Psychooncology. 2013 Dec;22(12):2664-75. | CrossRef | PubMed |

Hernández-Vásquez A, Chacón-Torrico H. Manipulación, análisis y visualización de datos de la Encuesta Demográfica y de Salud Familiar con el programa R. Rev Peru Med Exp Salud Publica 2019;36:128-33. | CrossRef | PubMed |

Aday LA, Andersen R. A framework for the study of access to medical care. Health Serv Res. 1974 Fall;9(3):208-20. | PubMed |

Babitsch B, Gohl D, von Lengerke T. Re-revisiting Andersen's Behavioral Model of Health Services Use: a systematic review of studies from 1998-2011. Psychosoc Med. 2012;9:Doc11. | CrossRef | PubMed |

Theme Filha MM, Leal MD, Oliveira EF, Esteves-Pereira AP, Gama SG. Regional and social inequalities in the performance of Pap test and screening mammography and their correlation with lifestyle: Brazilian national health survey, 2013. Int J Equity Health. 2016 Nov 17;15(1):136. | CrossRef | PubMed |

Chkotua S, Peleteiro B. Mammography Use in Portugal: National Health Survey 2014. Prev Chronic Dis. 2017 Oct 19;14:E100. | CrossRef | PubMed |

Serral G, Borrell C, Puigpinós I Riera R. [Socioeconomic inequalities in mammography screening in Spanish women aged 45 to 69]. Gac Sanit. 2018 Jan-Feb;32(1):61-67. | CrossRef | PubMed |

Menvielle G, Richard JB, Ringa V, Dray-Spira R, Beck F. To what extent is women's economic situation associated with cancer screening uptake when nationwide screening exists? A study of breast and cervical cancer screening in France in 2010. Cancer Causes Control. 2014 Aug;25(8):977-83. | CrossRef | PubMed |

Bishwajit G, Kpoghomou MA. Urban-rural differentials in the uptake of mammography and cervical cancer screening in Kenya. Journal of Cancer Policy 2017;12:43-8. | CrossRef |

Ministerio de Salud. Plan nacional para la prevención y control del cáncer de mama en el Perú (2019-2021). MINSA 2017. | Link |

Eichholzer M, Richard A, Rohrmann S, Schmid SM, Leo C, Huang DJ, et al. Breast cancer screening attendance in two Swiss regions dominated by opportunistic or organized screening. BMC Health Serv Res. 2016 Sep 23;16(1):519. | PubMed |

Measure DHS. [on line]. | Link |