Socioeconomic determinants of cancer screening utilisation in Latin America: A systematic review
Authors:
Bernardo Nuche-Berenguer aff001; Dikaios Sakellariou aff002
Authors place of work:
Former student, London School of Hygiene and Tropical Medicine, London, United Kingdom
aff001; School of Healthcare Sciences, Cardiff University, Cardiff, United Kingdom
aff002
Published in the journal:
PLoS ONE 14(11)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225667
Summary
Introduction
Cancer incidence and mortality in Latin America are rising. While effective cancer screening services, accessible to the whole population and enabling early cancer detection are needed, existing research shows the existence of disparities in screening uptake in the region.
Objective
We conducted a systematic review to investigate the socioeconomic determinants for the disparities in the use of breast, cervical and colorectal cancer screening services in Latin America.
Methods
We searched for studies reporting on socioeconomic determinants impacting on access to breast, cervical and colorectal cancer screening, published from 2009 through 2018. The studies that qualified for inclusion contained original analyses on utilisation of breast, cervical and colorectal cancer screening across socioeconomic levels in Latin America. For each study, paired reviewers performed a quality analysis followed by detailed review and data extraction.
Results
Twenty-four articles that met the eligibility criteria and were of sufficient quality were included in this review. Thirteen of the included articles were written in English, eight in Portuguese and three in Spanish, and they reported on the use of breast or cervical cancer screening. No studies were found on the socioeconomic determinants regarding the utilisation of colorectal cancer screening in Latin America. Low income, low education level, lack of health insurance and single marital status were all found to be determinants of underuse of breast and cervical cancer screening services.
Conclusions
Cancer screening programs in the region must prioritize reaching those populations that underuse cancer screening services to ensure equitable access to preventive services. It is important to develop national screening programmes that are accessible to all (including uninsured people) through, for example, the use of mobile units for mammography and self-screening methods.
Keywords:
Socioeconomic aspects of health – Cancer screening – cervical cancer – Health screening – Educational attainment – Health insurance – colorectal cancer – Mammography
Introduction
In Latin America (LA), there are approximately 1.4 million new cases and 670,000 deaths from cancer each year. [1] It is estimated that by 2040 there will be a 78% increase in cancer incidence and a 93% increase in cancer mortality in the region. [1] Although primary prevention is important for mitigating the burden of cancer, investing in cancer management, encompassing screening, detection, treatment and palliative care, is essential in reducing mortality rates.[2] Since cancer in LA is often diagnosed in its late stages,[3] establishing cancer screening services and encouraging participation in screening programs is crucial to reducing cancer mortality. However, not all cancer types are eligible for screening and the currently available evidence supports the effectiveness of screening for breast,[4, 5] cervical,[6] and colorectal cancer[7, 8] in preventing cancer deaths. Breast and cervical cancer screening are recommended by the World Health Organization (WHO), and colorectal cancer screening is recommended by other organizations, such as the American Cancer Society.
In line with these international recommendations, most countries in LA have established national screening programs for breast and cervical cancer and, to a lesser extent, colorectal cancer.[9] However, these programs face challenges in reaching all geographical areas and may not be equally accessible across all socioeconomic strata.[10, 11] The relationship between socioeconomic status and access to health services has been well documented.[12] Some U.S. studies have explored the association of socioeconomic factors with the uptake of cancer screening services,[13] but there is limited evidence from LA, a region with high inequalities in socioeconomic indicators. Identifying information on socioeconomic determinants of cancer screening underuse is a key factor in the design of strategies that encourage and enable the use of these services and in reducing the disparity in cancer outcomes in LA. We conducted a systematic literature review with the aim to identify the socioeconomic determinants that affect utilisation of cancer screening services in LA.[14] The research question, framed according to the PICOS framework, was: “What are the socioeconomic characteristics that impact on access to cancer screening services in Latin America?” The results of this study will be useful in guiding the countries in the region develop policies aimed at reducing disparities in cancer screening utilisation.
Methods
Search strategy
The review took place between May and July 2018. No publicly available protocol exists (see S1 File for the PRISMA checklist). We identified three key search concepts and their synonyms (see Table 1).
We searched the following databases: MedLine (via Ovid), Embase (via OVID), LILACs (via BIREME. The Latin American and Caribbean Center on Health Sciences), and Global Health (via OVID). These databases were identified as the most comprehensive for the topic of participation in cancer screening services. Moreover, LILACS is the most important and comprehensive index of scientific and technical literature for LA.
The three search concepts, their synonyms (using truncations and wildcards- indicated in Tables 1 and 2 by the use of the asterisk ‘*’- where appropriate), and subject heading terms were combined, using the Boolean operators ‘OR’, within concepts, and ‘AND’ to combine concepts to develop the final search strategy (see Table 2 for search strategy). In order to conduct the search in LILACS, where a large proportion of articles are written in Portuguese or Spanish, the same search terms were used in English as most abstracts have been translated.
Inclusion and exclusion criteria
Only articles reporting on breast, cervical and colorectal cancer screening were included because these are the screening types consistently supported by evidence[4–8] and that are recommended by international health organizations. The review included articles reporting on studies from LA, written in English, Spanish or Portuguese and published in peer-reviewed journals since 2009, because we were looking for updated information as the implementation of new cancer norms and screening programs in Latin America is expected to have an impact in the access to cancer screening services. The inclusion criteria are outlined in Table 3 and are presented according to the PICOS format. The English-speaking Caribbean region was not included in this review because it is considered as a different sociopolitical region with different geographical and cultural characteristics.
Data extraction
The studies retrieved through the search process were assessed for inclusion using pre-determined selection criteria based on the research question. First, the title and abstract were scanned to check whether the study:
Referred to or was based on participation in cancer screening.
Assessed the influence of socioeconomic indicators on cancer screening uptake.
Was conducted in Latin America.
All three conditions needed to be present for the study to be included. When it was not clear whether these criteria had been met, the full article was examined. 127 articles were subjected to full review (74 in English, 36 in Portuguese and 17 in Spanish).
To ensure consistency in the study selection process, the following definitions were used:
Cancer screening services: healthcare services aimed at detecting breast, cervical or colorectal cancer in asymptomatic populations.
Socioeconomic level: this is the combined measure of an individual's or family's economic and social position in relation to others, based on income, education and occupation.
Latin America: only studies conducted in the 21 countries listed in Table 1 were considered.
After reading each article that met the inclusion criteria, a short paragraph summarizing the aim, methods, main findings, strengths and weaknesses of the study was written. This information was entered into a data extraction table (see S1 Table).
Quality assessment
The quality of the studies was assessed using a modified version of the U.S National Institutes of Health (NIH) Quality Assessment Tool for Observational, Cohort and Cross-Sectional Studies (https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools). The definitions of “high”, “satisfactory” and “poor” quality that were used were based on the ten questions in the NIH Quality Assessment checklist that were deemed relevant for cross-sectional studies (see S2 Table), while questions not relevant for cross-sectional studies were removed from the tool. The quality of the studies that scored 8 or more out of 10 criteria was deemed as high; studies that scored 5 to 7 out of 10 criteria were deemed as satisfactory; finally, studies that scored 4 or less out of 10 criteria were considered of poor quality and were excluded from the review.
Results
Fig 1 shows the selection process of the identified articles. A total of 840 records were initially identified. A title or title and abstract screening of the initial 840 articles narrowed these down to 127 articles for full-text review; 26 articles met all eligibility criteria. Of these articles, 15 were from Brazil, 2 from Colombia and 1 each from Argentina, Bolivia, Chile, Costa Rica, Dominican Republic, Haiti, Honduras, Mexico, Peru and Puerto Rico. No articles were found that assessed socioeconomic determinants on the use of colorectal cancer screening programs in LA.
Quality
The 26 identified studies were cross-sectional and were critically appraised by applying a modified version of the NIH quality assessment tool. Of the 26 studies, 11 scored 8–10 (out of the 10 NIH quality criteria) and were designated of high quality; 13 scored 5–7 and 2 studies scored less than 4,[14, 15] and were excluded from the review; therefore, 24 articles (13 in English, 8 in Portuguese and 3 in Spanish) were included in this review (see Fig 1).
Socioeconomic determinants and access to cancer screening in Latin America
The answer to the study question “What are the socioeconomic characteristics that impact on access to cancer screening services in Latin America?” is summarized in Tables 4 and 5. These tables show in detail the association between socioeconomic determinants and Pap test (Table 4) and mammography (Table 5) utilisation. Below we summarize the main aspects found in the included studies.
The outcome measures found across the 24 studies were the self-reported participation in breast or cervical cancer screening. We did not identify any studies on the use of colorectal cancer screening. Within these two outcome measures, two levels of underuse were identified. Firstly, no previous participation in breast or cervical cancer screening. Secondly, no breast or cervical cancer screening in the previous 1–3 years (depending on the study).
The following exposure measures (independent variables) were identified across the included studies: income, education, marital status, health insurance, use of other health services, or other factors, such as smoking status, or number of children. To define the relationship of these variables with participation in cancer screening, only data coming from multivariate analyses adjusted for confounders were considered.
Income
Income was estimated in different ways across the included studies. Most studies measured income as a categorical variable measuring in quintiles [16–20] or other categories.[21–25] Other studies used minimal monthly wages [26, 27] or the socioeconomic classification (A to E) established by the Brazilian Institute of Geography and Statistics (https://ww2.ibge.gov.br/home/estatistica/populacao/condicaodevida/indicadoresminimos/defaulttab.shtm).[28–30] A study from Colombia used a wealth index,[31] a well-established indirect measure of income.[32] Several studies found a positive association between income and participation in cervical cancer screening in the previous 1–3 years.[21, 22, 24, 25, 29–31, 33] However, other studies did not find a clear association.[16, 17] When the variable was considered as “PAP smear never used”, the association between income and non-participation was also evident.[16, 18, 20]
Studies also reported a positive association between self-reported participation in mammography in the previous 1–3 years and income.[19, 31, 33, 34] However, some studies failed to demonstrate this association.[24] When the variable considered was “mammography never used” an association with income was also consistently found.[27, 28]
Education level
Most studies defined education level as number of years of schooling.[14, 16–20, 24, 26, 27, 30, 35, 36] A few studies defined the level of education as the completion of primary, secondary or tertiary education,[21–23, 33] which makes regional comparisons more difficult.
Numerous studies showed that education level is positively associated with participation in cervical cancer screening both in the previous 1–3 years [14, 16, 17, 21, 30, 33] and also when considering the “PAP smear never used” in cervical cancer screening.[18, 36, 37] However, an important number of studies did not find any association between education level and cervical cancer screening.[25, 38, 39] Another two studies found a possible, but not fully proven, association [26, 29]. Most studies found an association between education levels and participation in mammography in the previous 1–3 years.[19, 23, 31, 34–36, 39] Less clear associations were found in a study in Brazil [23] that only found primary education to be a determinant for participating in mammography; in another study in Costa Rica,[24] education negatively correlated with yearly participation in mammography, although not when the interval was set at three years. This study concluded that better-educated women tend to wait longer between mammography and Pap smear screenings than their less educated counterparts. Another study,[28] did not find any association between mammography screening and levels of education. In one study in Brazil,[27] education was positively associated with never participating in mammography. However, this association was absent in another study.[40]
Marital status
Marital status was consistently analysed as a determinant for participating in cancer screening. Most studies established that single women were less likely to participate in cancer screening,[16, 17, 19, 26, 35–37, 40] with only one study finding a positive association between being single and screening uptake.[14, 25]
Health insurance
Being covered by health insurance was commonly established as a major determinant favouring participation in cancer screening.[18–21, 24, 27, 31, 33, 34, 36, 40] However, some studies found no such association.[23, 25]
Place of residence
A number of studies identified living in a rural area as a barrier for participating in cancer screening [18, 20–22, 34, 36]. In some other countries, such as the Dominican Republic [22], the place of residence was not found to affect participation in cancer screening, while the analysis of a health survey in Bolivia concluded that women living in rural areas were more likely to have participated in cervical cancer screening. [22]
Use of other health services
The use of other health services can be a determinant for encouraging participation in screening, especially in a region where most cancer screening programmes are opportunistic.[3] We identified several studies establishing an association between use of other health services (e.g. maternity care) and higher participation in screening programs.[14, 16–18, 22, 23, 25, 26, 28, 31, 35, 36]
Other factors
This literature review identified other factors linked to poor screening performance in LA, including smoking;[14, 17, 40] lack of physical activity;[25] use of oral contraceptives;[15, 17] ethnicity/race (with white populations having lower rates of underuse);[18, 19, 21, 27, 31, 36, 40]; and greater number of children.[18, 21]
Discussion
Our aim was to investigate the socioeconomic determinants for the disparities in the use of cancer screening services in LA. Twenty-four articles published between 2009 and 2018 were included in this review. Low income, low education level, lack of health insurance and single marital status were all found to be determinants of underuse of breast and cervical cancer screening services in LA. No evidence was found about colorectal cancer screening and this may signal a lack of knowledge that should be considered in future research. With more than 1.4 million new cases and 670,000 deaths every year,[1] cancer is a major public health challenge in LA. Breast, cervical and colorectal cancer are among the most common cancer types [41–42] These numbers are projected to keep growing in the coming years and, therefore, health systems need to provide a comprehensive approach that addresses prevention, screening, early detection and treatment of cancer. Although most countries in LA have introduced screening programmes for breast, cervical and colorectal cancer, [9] these programmes are often opportunistic, not equally accessible to everyone and often lack the required quality.[3] As a result, cancer is still diagnosed late and generally the screening programmes do not have the desired impact of reducing mortality.[42–44] Because LA lacks comprehensive cancer registries, there is no information about the socioeconomic characteristics of cancer patients. However, some studies have concluded that the late diagnosis and mortality from cervical [45–47] and breast [48–52] cancer in the region is more common in lower socioeconomic strata. Although several reasons may explain these differences, it is likely that differential access to preventive and therapeutic healthcare is an important factor.
The results of this literature review are consistent with the existing evidence on the impact of socioeconomic status on accessing healthcare [12] and cancer screening in both high,[13, 53–55] and low and middle-income countries.[56–59] Indeed, two similar systematic reviews previously conducted in the U.S [53] and in low and middle-income countries [57] obtained similar results to this LA-based literature review. Other socioeconomic factors that affect cancer screening uptake include employment status,[55] race,[18, 19, 21, 27, 31, 60] and religion.[28] Moreover, being single was identified as another predictor of underuse for cancer screening. The results conclude that the lower income and less educated population with no health insurance coverage make lower use of cancer screening. Finally, this systematic review found that the place of residence also affected cancer screening participation. This information is very relevant since in LA a large number of people live far from urban regions or in rural-areas. Therefore, cancer screening needs to take this into account.
This literature review concluded that being covered by an insurance plan was a determinant for participating in breast and cervical cancer screening. In LA countries, health systems are often highly fragmented [61] and the population is covered by different configurations, often involving a combination of private health insurance, social security and public health care systems. Access to healthcare, including screening services, varies across the population depending on the type of insurance people have.
The lack of reliable information on the characteristics of existing cancer screening programs across LA precludes any conclusions regarding a link between differences in healthcare systems and distribution of cancer screening underuse across income levels. Research, like that conducted previously in Europe by the International Agency for Research on Cancer (IARC),[62], would be essential to answer this question. Moreover, it is important to acknowledge that cancer screening by itself does not reduce cancer mortality and that it must come together with appropriate referral and timely treatment. Analysing the impact of socioeconomic status in accessing cancer treatment services would help identify other factors explaining the higher cancer mortality in populations with lower socioeconomic status.
This study has several limitations. The studies identified in the literature review were cross-sectional and therefore causation between the independent and dependent variables could not be established.[63] Cross-sectional studies may be affected by recall or social desirability bias in which the respondents might share inaccurate information.[64] For instance, in household surveys there is a trend to underreport income, due to forgetfulness,[65–68], among other reasons, and this could affect the validity of the income measure in the selected studies. Furthermore, most studies included in this review did not consider the economies of scale (meaning how the needs of a household grow with each additional individual), and only income was used to define wealth level.[69] The lack of information on the characteristics of cancer screening programmes in LA limited the capacity of this study to identify those screening programme characteristics linked to better performance in reducing social disparities. Although the possibility of publication bias exists, the nature of the studies included in this review makes publication bias unlikely: most studies were based on health surveys that are publicly available and could be easily reanalysed; each study included two or more socioeconomic variables that could have different impact on cancer screening access; and some of the included studies analysed data from the same survey obtaining similar results. Finally, this study did not analyse information about the impact of socioeconomic status in accessing other services in the continuum of cancer care such as HPV vaccination, cervical precancerous lesions, or invasive cancer. Getting this information in future studies would shed more light onto the factors that explain the higher cancer mortality in low socioeconomic strata.
However, this study has important strengths, providing evidence on the socioeconomic factors related to poor utilisation of cancer screening in LA. First, this study followed a rigorous process, collecting for the first time the available evidence on socioeconomic determinants that affect access to cancer screening in LA. This review used three databases relevant to the topic and another database (LILACS) specific to LA. We included studies in English, Portuguese and Spanish, thereby reducing the chances of losing relevant information. Moreover, the quality of the papers was assessed to ensure that the analysed papers were of acceptable quality.
Conclusions and policy recommendations
This study suggests that income, education level, health insurance and marital status are all determinants for using cancer screening services in LA. The public health implication of this study is that it helped identify populations with lower use of cancer screening. The study also helped to identify research gaps that need to be addressed to fully understand cancer screening access in LA and contribute to the elaboration of relevant policies. The establishment of well-organized cancer screening strategies has helped some countries in LA such as Argentina [33] to reduce cancer disparities. However, a lot of work remains to be done. In order to reduce avoidable cancer deaths, we recommend that countries should:
Conduct research to understand the reasons behind the lower participation in cancer screening in populations of lower socioeconomic status.
Conduct research to explore inequalities in access to cancer screening in specific populations, such as people with disabilities or indigenous populations.
Develop effective information campaigns and culturally sensitive messages that proactively reach those populations that are under-users of cancer screening.
Develop population-based screening programs to recruit populations from different age groups and socioeconomic levels.
Upscale the introduction of approaches such as HPV self-sampling, mobile mammography and colonoscopy services to better reach socially vulnerable under-screened populations.
Make screening services accessible to uninsured populations and ensure that screening services are available at different times and days so that workers can access these services.
Supporting information
S1 File [doc]
PRISMA 2009 checklist.
S1 Table [docx]
Data extraction sheet headings.
S2 Table [docx]
Modified NIH quality assessment tool for observational and cross-sectional studies.
Zdroje
1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2018;68(6):394–424. doi: 10.3322/caac.21492 30207593
2. World Health Organisation. Cancer Control: Knowledge into Action: WHO Guide for Effective Programmes.Geneva, Switzerland: World Health Organisation; 2006.
3. Goss PE, Lee BL, Badovinac-Crnjevic T, Strasser-Weippl K, Chavarri-Guerra Y, St Louis J, et al. Planning cancer control in Latin America and the Caribbean. Lancet Oncol, 2013. 14(5): 391–436. doi: 10.1016/S1470-2045(13)70048-2 23628188
4. Marmot MG, Altman DG, Cameron DA, Dewar JA, Thompson SG, Wilcox M. The benefits and harms of breast cancer screening: an independent review. Br J Cancer, 2013. 108(11): 2205–40. doi: 10.1038/bjc.2013.177 23744281
5. Paci E. Summary of the evidence of breast cancer service screening outcomes in Europe and first estimate of the benefit and harm balance sheet. J Med Screen, 2012. 19 Suppl 1: 5–13.
6. Peirson L, Fitzpatrick-Lewis D, Ciliska D, Warren R. Screening for cervical cancer: a systematic review and meta-analysis. Syst Rev, 2013. 2: 35. doi: 10.1186/2046-4053-2-35 23706117
7. Hewitson P, Glasziou PP, Irwig L, Towler B, Watson E. Screening for colorectal cancer using the faecal occult blood test, Hemoccult. Cochrane Database Syst Rev, 2007(1): CD001216. doi: 10.1002/14651858.CD001216.pub2 17253456
8. Holme Ø, Bretthauer M, Fretheim A, Odgaard‐Jensen J, Hoff G. Flexible sigmoidoscopy versus faecal occult blood testing for colorectal cancer screening in asymptomatic individuals. Cochrane Database Syst Rev, 2013(9): CD009259. doi: 10.1002/14651858.CD009259.pub2 24085634
9. Pan American Health Organization. Profile of Capacity and Response to Noncommunicable Diseases and Their Risk factors in the region of the Americas. Washington, D.C: Pan American Health Organization; 2017.
10. Arrossi S, Paolino M, and Sankaranarayanan R. Challenges faced by cervical cancer prevention programs in developing countries: a situational analysis of program organization in Argentina. Rev Panam Salud Publica, 2010. 28(4): 249–57. doi: 10.1590/s1020-49892010001000003 21152712
11. Strasser-Weippl K, Chavarri-Guerra Y, Villarreal-Garza C, Bychkovsky BL, Debiasi M, Liedke PE, et al. Progress and remaining challenges for cancer control in Latin America and the Caribbean. Lancet Oncol, 2015. 16(14): 1405–38. doi: 10.1016/S1470-2045(15)00218-1 26522157
12. Veugelers PJ, Yip AM. Socioeconomic disparities in health care use: Does universal coverage reduce inequalities in health? J Epidemiol Community Health, 2003. 57(6): 424–8. doi: 10.1136/jech.57.6.424 12775787
13. Gornick ME, Eggers PW, Riley GF. Associations of race, education, and patterns of preventive service use with stage of cancer at time of diagnosis. Health Serv Res, 2004. 39(5): 1403–27. doi: 10.1111/j.1475-6773.2004.00296.x 15333115
14. Martins L.L, Valente JG, Thuler LCS. Factors related to inadequate cervical cancer screening in two Brazilian state capitals. Revista de Saude Publica, 2009. 43(2): 318–325. doi: 10.1590/s0034-89102009000200013 19287874
15. McCarthy SH, Walmer KA, Boggan JC, Gichane MW, Calo WA, Beauvais HA, et al. Awareness of Cervical Cancer Causes and Predeterminants of Likelihood to Screen among Women in Haiti. Journal of Lower Genital Tract Disease, 2017. 21(1): 37–41. doi: 10.1097/LGT.0000000000000281 27906806
16. Gasperin SI, Boing AF, Kupek E. Cervical cancer screening coverage and associated factors in a city in southern Brazil: a population-based study. Cadernos de Saude Publica, 2011. 27(7): 1312–1322. doi: 10.1590/s0102-311x2011000700007 21808816
17. Cesar JA, Santos GB, Sutil AT, Cunha CF, Dumith SD. Pap smears among pregnant women in Southern Brazil: a representative cross-sectional survey. Revista Brasileira de Ginecologia e Obstetricia, 2012. 34(11): 518–523. doi: 10.1590/s0100-72032012001100007 23288263
18. Martinez-Mesa J, Werutsky G, Campani RB, Wehrmeister FC, Barrios CH. Inequalities in Pap smear screening for cervical cancer in Brazil. Preventive Medicine, 2013. 57(4): 366–371. doi: 10.1016/j.ypmed.2013.06.026 23827721
19. Schneider IJ, Giehl MW, Boing AF, d’Orsi E. Mammogram screening for breast cancer and associated factors in the South of Brazil: a based-population survey. Cadernos de Saude Publica, 2014. 30(9): 1987–1997. doi: 10.1590/0102-311x00162313 25317527
20. Bermedo-Carrasco S, Peña-Sánchez JN, Lepnurm R, Szafron M, Waldner C. Inequities in cervical cancer screening among Colombian women: A multilevel analysis of a nationwide survey. Cancer Epidemiology, 2015. 39(2): 229–236. doi: 10.1016/j.canep.2015.01.011 25707752
21. BarrionuevoRosas L, Palencia L, Borrell C, How does type of health insurance affect receipt of Pap testing in Peru? [Spanish]. Revista Panamericana de Salud Publica/Pan American Journal of Public Health, 2013. 34(6): 393–400. 24569967
22. Soneji S, Fukui N. Socioeconomic determinants of cervical cancer screening in Latin America. Rev Panam Salud Publica, 2013. 33(3): 174–82. doi: 10.1590/s1020-49892013000300003 23698136
23. Souza CI, Araújo DS, Teles DA, Carvalho SG, Cavalcante KW, Rabelo WL, et al. Factors related to non-adherence to mammography in a city of the Brazilian Amazonian area: A population-based study. Revista da Associacao Medica Brasileira, 2017. 63(1): 35–42. doi: 10.1590/1806-9282.63.01.35 28225871
24. Brenes Camacho, RoseroBixby L. Differentials by socioeconomic status and institutional characteristics in preventive service utilization by older persons in costa rica. Journal of aging and health, 2009. 21(5): 730–758. doi: 10.1177/0898264309338299 19584413
25. Ortiz AP, Hebl S, Serrano R, Fernandez ME, Suárez E, Tortolero-Luna G. Factors associated with cervical cancer screening in Puerto Rico. Preventing Chronic Disease, 2010. 7(3): A58. 20394697
26. Oliveira MV, Guimaraes MDC, Franca EB. Factors associated with failure to take a Pap smear test among Quilombola women. Ciencia & Saude Coletiva, 2014. 19(11): 4535–4544
27. Melo EC, de Oliveira EX, Chor D, Carvalho MS, Pinheiro RS. Inequalities in socioeconomic status and race and the odds of undergoing a mammogram in Brazil. International Journal for Equity in Health, 2016. 15(1): 144. doi: 10.1186/s12939-016-0435-4 27628786
28. Matos JC, Pelloso SM, Carvalho MD. Factors associated with secondary breast cancer prevention in Maringa, Parana State, Brazil. Cadernos de Saude Publica, 2011. 27(5): 888–898. doi: 10.1590/s0102-311x2011000500007 21655840
29. Brischiliari SC, Dell'Agnolo CM, Gil LM, Romeiro TC, Gravena ÂA, Carvalho MD, et al. Factors associated with lack of Pap smear screening in a group of postmenopausal Brazilian women. Cadernos de Saude Publica, 2012. 28(10): 1976–1984. doi: 10.1590/s0102-311x2012001000015 23090176
30. Correa MD, Silveira DS, Siqueira FV, Facchini LA, Piccini RX, Thumé E, et al. Pap test coverage and adequacy in the South and Northeast of Brazil. Cadernos de Saude Publica, 2012. 28(12): 2257–2266. doi: 10.1590/s0102-311x2012001400005 23288059
31. FontGonzalez A, Pineros M, Vries E. Self-reported early detection activities for breast cancer in Colombia in 2010: impact of socioeconomic and demographic characteristics. Salud Publica de Mexico, 2013. 55(4): 368–378. doi: 10.21149/spm.v55i4.7220 24165712
32. LSHTM, PHM 203 Economic Analysis for Health Policy Module Lectures, Session 5, Tools for Equity Analysis. Online course materials. London:London School of Hygiene & Tropical Medicine;2017.
33. De Maio FG, Linetzky B, Ferrante D. Changes in the social gradients for Pap smears and mammograms in Argentina: evidence from the 2005 and 2009 National Risk Factor Surveys. Public Health, 2012. 126(10): 821–6. doi: 10.1016/j.puhe.2012.05.011 23083845
34. Agudelo Botero M. Sociodemographic determinants of access to breast cancer screening in Mexico: a review of national surveys. Salud Colectiva, 2013. 9(1): 79–90. doi: 10.1590/S1851-82652013000100007 23680751
35. Novaes C, Mattos IE. Prevalence of non-utilization of mammography and associated factors in elderly women. Cadernos de Saude Publica, 2009. 25(Suppl 2): S310–20.
36. Sakellariou D, Rotarou ES. Utilisation of cancer screening services by disabled women in Chile. PLoS ONE, 2017. 12(5) (pagination):: e0176270. doi: 10.1371/journal.pone.0176270 28459874
37. Albuquerque KM, Frias PG, Andrade CL, Aquino EM, Menezes G, Szwarcwald CL. Pap smear coverage and factors associated with non-participation in cervical cancer screening: an analysis of the Cervical Cancer Prevention Program in Pernambuco State, Brazil. Cadernos de Saude Publica, 2009. 25(Suppl 2): S301–9.
38. Price J, Asgary R. Women's health disparities in Honduras: Indicators and determinants. Journal of Women's Health, 2011. 20(12): 1931–1937. doi: 10.1089/jwh.2010.2615 22107148
39. Senicato C, Barros MB. Social inequality in health among women in Campinas, São Paulo State, Brazil. Cadernos de Saude Publica. 2012;28:1903–14. 40. doi: 10.1590/s0102-311x2012001000009 23090170
40. Lages RB, Oliveira GD, Simeão Filho VM, Nogueira FM, Teles JB, Vieira SC. Inequalities associated with lack of mammography in Teresina-Piaui-Brazil, 2010–2011. Revista Brasileira de Epidemiologia, 2012. 15(4): 737–747. doi: 10.1590/s1415-790x2012000400006 23515770
41. Sierra MS, Soerjomataram I, Antoni S, Laversanne M, Piñeros M, de Vries E, et al. Cancer patterns and trends in Central and South America. Cancer Epidemiol, 2016. 44 Suppl 1: S23–S42.
42. Viniegra M, Paolino M, Arrossi S. Cáncer de mama en Argentina: organización, cobertura y calidad de las acciones de prevención y control. Informe final julio 2010: diagnóstico de situación del Programa Nacional y Programas Provinciales. 2010.
43. Arrossi S, Paolino M.Proyecto para el mejoramiento del Programa Nacional de Prevención de Cáncer de Cuello Uterino en Argentina: Diagnóstico de situación del Programa Nacional de Prevención de Cáncer de Cuello de Útero, y Programas Provinciales. Buenos Aires: Organización Panamericana de la Salud; 2008. (Informe Técnico No. 64).
44. Gualdrini U, Iummato L. Cáncer colorectal en la Argentina. Organización, cobertura y calidad de las acciones de prevención y control. Propuesta del Programa de prevención y detección temprana, y acciones para su implementación. 2011.
45. Pereira-Scalabrin A. Almonte M, Dos-Santos-Silva I. Country-level correlates of cervical cancer mortality in Latin America and the Caribbean. Salud Publica Mex, 2013. 55(1): 5–15. doi: 10.1590/s0036-36342013000100004 23370254
46. McKinnon B, Harper S, Moore S. Decomposing income-related inequality in cervical screening in 67 countries. Int J Public Health, 2011. 56(2): 139–52. doi: 10.1007/s00038-010-0224-6 21327854
47. Arrossi S, Matos E, Zengarini N, Roth B, Sankaranayananan R, Parkin M. The socio-economic impact of cervical cancer on patients and their families in Argentina, and its influence on radiotherapy compliance; results from a cross-sectional study. Gynecol Oncol, 2007. 105(2): 335–40. doi: 10.1016/j.ygyno.2006.12.010 17258801
48. Gonzaga CM, Freitas-Junior R, Curado MP, Sousa AL, Souza-Neto JA, Souza MR. Temporal trends in female breast cancer mortality in Brazil and correlations with social inequalities: ecological time-series study. BMC Public Health, 2015. 15: 96. doi: 10.1186/s12889-015-1445-7 25886146
49. Girianelli VR, Gamarra CJ, Azevedo e Silva G. Disparities in cervical and breast cancer mortality in Brazil. Rev Saude Publica, 2014. 48(3): 459–67. doi: 10.1590/S0034-8910.2014048005214 25119941
50. Figueiredo F, Adami F. Income Inequality and Mortality Owing to Breast Cancer: Evidence From Brazil. Clin Breast Cancer, 2018. 18(4): e651–e658. doi: 10.1016/j.clbc.2017.11.005 29239835
51. Tumas N, Pou S, Díaz M. Inequities in health: sociodemographic and spatial analysis of breast cancer in women from Córdoba, Argentina. Gac Sanit, 2017. 31(5): 396–403. doi: 10.1016/j.gaceta.2016.12.011 28325664
52. Palazzo A, Perinetti A, Vacchino M. Estadio clínico del cáncer de mama y nivel socioeconómico en el partido de General Pueyrredón, Argentina, 2013. Rev Argent Salud Pública, 2016. 7(27): 16–20.
53. Pruitt SL, Shim MJ, Mullen PD, Vernon SW, Amick BC. Association of area socioeconomic status and breast, cervical, and colorectal cancer screening: a systematic review. Cancer Epidemiol Biomarkers Prev, 2009. 18(10): 2579–99. doi: 10.1158/1055-9965.EPI-09-0135 19815634
54. Bigby J, Holmes MD. Disparities across the breast cancer continuum. Cancer Causes Control, 2005. 16(1): 35–44. doi: 10.1007/s10552-004-1263-1 15750856
55. Fukuda Y, Nakamura K, Takano T. Reduced likelihood of cancer screening among women in urban areas and with low socio-economic status: a multilevel analysis in Japan. Public Health, 2005. 119(10): 875–84. doi: 10.1016/j.puhe.2005.03.013 16054179
56. Akinyemiju T, Ogunsina K, Sakhuja S, Ogbhodo V, Braithwaite D. Life-course socioeconomic status and breast and cervical cancer screening: Analysis of the WHO's Study on Global Ageing and Adult Health (SAGE). BMJ Open, 2016. 6(11): e012753. doi: 10.1136/bmjopen-2016-012753 27881528
57. Chidyaonga-Maseko F, Chirwa ML, Muula AS. Underutilization of cervical cancer prevention services in low and middle income countries: a review of contributing factors. Pan Afr Med J, 2015. 21: 231. doi: 10.11604/pamj.2015.21.231.6350 26523173
58. Yerramilli P, Dugee O, Enkhtuya P, Knaul FM, Demaio AR. Exploring Knowledge, Attitudes, and Practices Related to Breast and Cervical Cancers in Mongolia: A National Population-Based Survey. Oncologist, 2015. 20(11): 1266–73. doi: 10.1634/theoncologist.2015-0119 26417038
59. Compaore S, Ouedraogo CM, Koanda S, Haynatzki G, Chamberlain RM, Soliman AS. Barriers to Cervical Cancer Screening in Burkina Faso: Needs for Patient and Professional Education. J Cancer Educ, 2016. 31(4): 760–766. doi: 10.1007/s13187-015-0898-9 26336956
60. Borges ZD, Wehrmeister FC, Gomes AP, Gonçalves H. Clinical breast examination and mammography: inequalities in Southern and Northeast Brazilian regions. Revista Brasileira de Epidemiologia, 2016. 19(1): 1–13. doi: 10.1590/1980-5497201600010001 27167644
61. Laurell AS, Giovanella L. Health Policies and Systems in Latin America. Oxford Research Encyclopedia, Global Public Health. Oxford: Oxford University Press; 2019.
62. Basu P, Ponti A, Anttila A, Ronco G, Senore C, Vale DB, et al. Status of implementation and organization of cancer screening in The European Union Member States-Summary results from the second European screening report. Int J Cancer, 2018. 142(1): 44–56. doi: 10.1002/ijc.31043 28940326
63. Durand M., Chantler T. Principles of social research,. London: London School of Hygiene and Tropical Medicine; 2014.
64. Smith S., Sinclair D., Raine R., Reeves B. Health care evaluation; Understanding public health. Maidenhead, UK: Open University Press; 2005.
65. Salvia A, Donza E. Problemas de medición y sesgos de estimación derivados de la no respuestas a la preguntas de ingresos en la EPH (1990–1998). Rev Estudios del Trabajo, N°. 18, AST; 1999.
66. Camelo H, Subdeclaración de ingresos medios en las encuestas de hogares, según quintiles de hogares y Fuentes de ingreso. 2do Taller Regional Medición de del ingreso en las encuestas de hogares. MECOVI: Buenos Aires; 1998.
67. Beccaria L, Minujin A. Sobre la medición de la pobreza: enseñanzas a partir de la experiencia argentina. UNICEF: Buenos Aires; 1991.
68. Llach J, Montoya S. En pos de la equidad. La pobreza y la distribución del ingreso en el Área Metropolitana de Buenos Aires: diagnóstico y alternativas de políticas. Buenos Aires: IERAL; 1999.
69. Mancero X. Escalas de equivalencia: reseña de conceptos y métodos. Santiago de Chile: CEPAL; 2001.
Článok vyšiel v časopise
PLOS One
2019 Číslo 11
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
- Nejasný stín na plicích – kazuistika
- Masturbační chování žen v ČR − dotazníková studie
- Úspěšná resuscitativní thorakotomie v přednemocniční neodkladné péči
- Kombinace metamizol/paracetamol v léčbě pooperační bolesti u zákroků v rámci jednodenní chirurgie
Najčítanejšie v tomto čísle
- A daily diary study on maladaptive daydreaming, mind wandering, and sleep disturbances: Examining within-person and between-persons relations
- A 3’ UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction
- A substitution mutation in a conserved domain of mammalian acetate-dependent acetyl CoA synthetase 2 results in destabilized protein and impaired HIF-2 signaling
- Molecular validation of clinical Pantoea isolates identified by MALDI-TOF