Abstract:

This study evaluated influenza vaccine coverage among elderly individuals (≥ 60 years) living in the city of São Paulo, Brazil, in 2015, and analyzed associated factors. This was a cross-sectional population-based study of data from the SABE Study (Health, Well-Being, and Aging). The dependent variable was influenza vaccination in the 12 months prior to the interview, and the independent variables were sociodemographic and behavioral characteristics, self-reported health status, and use of health services. Data analysis considered the complex study sample, respecting the sampling weight. Poisson’s regression was used, with significance set at 5%. Vaccine coverage was 79.7% (95%CI: 76.8-82.5). Influenza vaccination was associated with marital status (PR single/without partner = 0.84; 95%CI: 0.77-0.93), physical activity (PR yes = 1.08; 95%CI: 1.01-1.17), and medical appointment in the previous 12 months (PR yes = 1.22; 95%CI: 1.07-1.39). There were no differences between sociodemographic strata. Influenza vaccination in the elderly had already reached the target for universal coverage in the city of São Paulo. The results are relevant for planning the immunization program, pointing to priority groups to motivate for vaccination and valuing interaction between the elderly and health services.

Keywords:
Influenza Vaccines; Aged; Immunization Programs; Vaccination Coverage

Introduction

Influenza is an acute respiratory infection that affects millions of persons yearly, accounting for 290,000 to 650,000 deaths worldwide. Elderly persons constitute one of the highest risk groups for serious illness and complications ¹1. World Health Organization. Influenza seasonal, 6 November, 2018. https://www.who.int/en/news-room/fact-sheets/detail/influenza-(seasonal) (acessado em 26/Nov/2019).
https://www.who.int/en/news-room/fact-sh... . Vaccination is the most effective way to prevent the disease and is recommended by the World Health Organization for the elderly, pregnant women, children 6 months to 5 years of age, individuals with chronic conditions/diseases, and health professionals ¹1. World Health Organization. Influenza seasonal, 6 November, 2018. https://www.who.int/en/news-room/fact-sheets/detail/influenza-(seasonal) (acessado em 26/Nov/2019).
https://www.who.int/en/news-room/fact-sh... ^,22. El Omeiri N, Azziz-Baumgartner E, Thompson MG; REVELAC-i network participants, Clará W, Cerpa M, et al. Seasonal influenza vaccine effectiveness against laboratory-confirmed influenza hospitalizations - Latin America, 2013. Vaccine 2018; 36:3555-66..

In Brazil, influenza vaccine has been supplied to the elderly by the National Immunization Program (PNI) since 1999. São Paulo pioneered this move with the city’s first influenza vaccination campaign a year before, in 1998. The vaccine applied in the annual seasonal influenza vaccination campaigns is produced by the Butantan Institute and contains 3 viral strains, 2 of which are type A (H1N1/pdm09 e H3N2) and 1 is type B ³3. Ministério da Saúde. Programa Nacional de Imunização. Informe técnico. Campanha Nacional de Vacinação do Idoso. http://portalarquivos2.saude.gov.br/images/pdf/2019/abril/10/Informe-Cp-Influenza-FINAL.pdf (acessado em 26/Nov/2019).
http://portalarquivos2.saude.gov.br/imag... .

The vaccine coverage target set by the Brazilian Ministry of Health was 80% until 2017, after which it was increased to 90%. In the city of São Paulo, administrative data estimate 82% coverage in 2015, with a steady increase in subsequent years, reaching 93.8% in 2019. However, administrative data based on number of doses applied are known to be less accurate than data from vaccination surveys ⁴4. Cutts FT, Claquin P, Danovaro-Holliday MC, Rhoda DA. Monitoring vaccination coverage: Defining the role of surveys. Vaccine 2016; 34:4103-9.. Nationwide and São Paulo city surveys show vaccine coverage rates of 70%-75% in 2006-2016 ⁵5. Moura RF, Andrade FB, Duarte YA, Lebrão ML, Antunes JL. Fatores associados à adesão à vacinação anti-influenza em idosos não institucionalizados, São Paulo, Brasil. Cad Saúde Pública 2015; 31:2157-68.^,66. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840.^,77. Bof de Andrade F, Sato APS, Moura RF, Ferreira Antunes JL. Correlates of influenza vaccine uptake among community-dwelling older adults in Brazil. Hum Vaccin Immunother 2017; 13:103-10.^,88. Sato APS, Antunes JLF, Costa MFFL, Andrade FB. Influenza vaccine uptake among older adults in Brazil: socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2019; 19:30257-6..

Nationwide studies revealed a scenario in which vaccine coverage was lower among black Brazilians and those with less than 4 years of schooling in 2013 ⁷7. Bof de Andrade F, Sato APS, Moura RF, Ferreira Antunes JL. Correlates of influenza vaccine uptake among community-dwelling older adults in Brazil. Hum Vaccin Immunother 2017; 13:103-10., and that the rates did not differ in 2015-2016 ⁸8. Sato APS, Antunes JLF, Costa MFFL, Andrade FB. Influenza vaccine uptake among older adults in Brazil: socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2019; 19:30257-6.. Studies in the city of São Paulo showed that influenza vaccination was associated positively with older age, married/with partner marital status, chronic diseases, regular physical activity, and interaction with health services, especially public services, but that they did not differ between social strata ⁵5. Moura RF, Andrade FB, Duarte YA, Lebrão ML, Antunes JL. Fatores associados à adesão à vacinação anti-influenza em idosos não institucionalizados, São Paulo, Brasil. Cad Saúde Pública 2015; 31:2157-68.^,66. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840..

Although previous studies found that universal influenza vaccination was reached in the elderly, the vaccine coverage had not reached the national and international targets, making it necessary to constantly monitor these coverage rates and associated factors. The current study thus aimed to reassess influenza vaccine coverage among elderly residents of the city of São Paulo in 2015 and to verify whether the associated factors remain the same.

Methods

This was a cross-sectional population-based study on influenza vaccination in elderly residents (≥ 60 years) of the city of São Paulo in 2015.

The city of São Paulo had an estimated population of 11,811,516 in 2019, of which 15.18% belonged to the elderly population. The Municipal Human Development Index in 2010 was 0.805 ⁹9. Fundação Seade. Perfil dos municípios paulistas. São Paulo, 2019. http://www.perfil.seade.gov.br/ (acessado em 21/Nov/2019).
http://www.perfil.seade.gov.br/... .

The data source was the Study on Health, Well-Being, and Aging (SABE 2015), which is a longitudinal multiple cohort study that was started in 2000 and is repeated every five years (2006, 2010, and 2015). Each new wave includes a new cohort of individuals 60 to 64 years of age, aimed at maintaining the representativeness of the study’s age brackets. The sample is complex, with a multistage sampling design to allow statistical inference to the non-institutionalized urban population 60 years or older in the city of São Paulo. The primary sampling units were the census tracts, with households as the secondary units. All residents 60 years or older in the selected households were invited to participate in the study.

All individuals who agreed to participate in the study were interviewed in their homes by a specifically trained team. On this occasion a questionnaire was applied that included sociodemographic and behavioral characteristics, quality of life, use of health services, and clinical information. Anthropometric measurements and blood and urine samples were taken. Detailed information on the SABE Study can be consulted in previous publications ¹⁰10. Lebrão ML, Duarte YAO. SABE - Saúde, bem-estar e envelhecimento. O Projeto SABE no município de São Paulo: uma abordagem inicial. Brasília: Organização Pan-Americana da Saúde; 2003. and on the website (http://hygeia3.fsp.usp.br/sabe/).

The dependent variable was the combination of the answers to the questions “Have you ever gotten the flu vaccine?” and “When did you get the flu vaccine?”, and the outcome was defined as influenza vaccination in the 12 months prior to the interview.

The independent variables were: sociodemographic characteristics (sex, color, age bracket, schooling, marital status, and whether the person was living alone and working at the time of the interview); behavioral characteristics (alcohol consumption in the previous 3 months smoking, and physical activity at least 150 minutes a week); self-reported health status (self-rated health, number of chronic diseases, hypertension, diabetes mellitus, cardiovascular disease, chronic lung disease, falls in the previous 12 months, and depression); and use of health services (medical appointments and hospitalization in the 12 months prior to the interview and type of health service).

Data analysis considered the study design’s complex sample, respecting the sampling weight, that is, the inverse of the sampling fraction, adjusted for the population’s corresponding distribution by sex and age bracket. Analysis used the survey module of Stata 15 (https://www.stata.com).

Vaccine coverage rates were calculated (elderly vaccinated against influenza in the last 12 months divided by the total number of elderly) for the total sample and according to the independent variables, using Rao-Scott chi-square test to verify associations.

Crude and adjusted prevalence ratios (PR) were calculated with Poisson regression ¹¹11. Barros AJD, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 2003; 3:21. Independent variables with p-value less than 0.200 were included in the multivariate model. The modeling process followed a conceptual structure organized in blocks of covariables ¹²12. Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 1997; 26:224-7.. The model initially included the sociodemographic variables, adjusted to each other. Next, only sociodemographic variables with p-value less than 0.05 were kept in the model, which adjusted the behavioral variables and self-reported health status. Finally, the model included variables on the use of health services, which were adjusted by the sociodemographic and behavioral variables and self-reported health status with p-value less than 0.05.

The SABE Study 2015 was approved by the Institutional Review Board of the University of São Paulo School of Public Health (CAAE: 47683115.4.0000.5421, Review: 3.600.782). All participants signed the free and informed consent form, and the study followed the ethical procedures of Resolution n. 466/2012.

Results

Of the total of 1,399 elderly individuals that were eligible for the study, 1,224 were interviewed in the SABE Study 2015, with 6.1% of refusals and 6.4% of losses. Among the interviewees, 1,043 (85.2%) had information on whether they had received the influenza vaccine in the previous 12 months, while one failed to answer the question “Have you gotten the flu vaccine?” and 180 did not know when they had been vaccinated. Vaccine coverage was 79.7% (95% confidence interval - 95%CI: 76.8-82.5).

Table 1 shows influenza vaccine coverage according to sociodemographic characteristics in the sample. Vaccine coverage was lower in individuals under 60-69 years of age (69.1%), compared to older elders, and in elders that were single or without a partner (singles, divorcees, and widows/widowers) (71.4%). An important finding was that vaccine coverage rates did not differ between schooling strata (p = 0.885).

As for behavioral characteristics (Table 2), elderly who did not practice physical activity at least 150 minutes a week showed a lower proportion of influenza vaccination in the previous 12 months (78.5%), compared to their physically active peers (86%).

Table 3 shows vaccine coverage according to self-reported health status. Elderly individuals that reported depression showed lower vaccination rates (73%).

On use of health services (Table 4), the report of a medical appointment in the previous 12 months was associated positively with influenza vaccination (81.5%).

The multivariate analysis considered variables with p-value less than 0.200, that is: sex (p = 0.062); age bracket (p = 0.002); marital status (p < 0.001); physical activity (p = 0.038); diabetes (p = 0.159); cardiovascular disease (p = 0.071); depression (p = 0.031); and medical appointment in the previous 12 months (p < 0.001).

Table 5 shows the crude and adjusted prevalence ratios and respective 95%CI for the analysis of the association between such factors and influenza vaccination in the previous 12 months. Sex, age bracket, and self-reported diseases (diabetes, cardiovascular disease, and depression) did not remain in the multivariate model. Influenza vaccination was associated with marital status (PR single/without partner = 0.84; 95%CI: 0.77-0.93), physical activity (PR yes = 1.08; 95%CI: 1.01-1.17); and medical appointment in the previous 12 months (PR yes = 1.22; 95%CI: 1.07-1.39).

Discussion

The study showed that influenza vaccine coverage among the elderly in the city of São Paulo in 2015 reached the national and international targets, which were 80% at the time. Factors associated with vaccination were marital status, physical activity, and interaction with health services. Importantly, the vaccination rates did not differ significantly between schooling strata. These were the study’s most important results.

Administrative data from the PNI point to 82% coverage of the influenza vaccine in the elderly population in 2015 ¹³13. Ministério da Saúde. Programa Nacional de Imunização. Sistema de Informação do Programa Nacional de Imunizações 2019. http://sipni-gestao.datasus.gov.br/si-pni-web/faces/relatorio/consolidado/coberturaVacinalCampanhaInfluenza.jsf (acessado em 21/Nov/2019).
http://sipni-gestao.datasus.gov.br/si-pn... , or a rate quite similar to the current study. This proportion increased steadily, comparing previous assessments in the city by the SABE Study in 2006 (73.8%) ⁵5. Moura RF, Andrade FB, Duarte YA, Lebrão ML, Antunes JL. Fatores associados à adesão à vacinação anti-influenza em idosos não institucionalizados, São Paulo, Brasil. Cad Saúde Pública 2015; 31:2157-68. and 2010 (74.2%) ⁶6. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840. and compared to studies in other Brazilian cities ¹⁴14. Donalisio MR, Ruiz T, Cordeiro R. Fatores associados à vacinação contra influenza em idosos em município do Sudeste do Brasil. Rev Saúde Pública 2006; 40:115-9.^,1515. Lima-Costa MF. Factors associated with influenza vaccination among elderly in a metropolitan area in Southeastern Brazil. Rev Saúde Pública 2008; 42:100-7.^,1616. Francisco PMSB, Barros MBA, Cordeiro MRD. Vacinação contra influenza em idosos: prevalência, fatores associados e motivos da não-adesão em Campinas, São Paulo, Brasil. Cad Saúde Pública 2011; 27:417-26.^,1717. Campos EC, Sudan LCP, Mattos ED, Fidelis R. Fatores relacionados à vacinação contra a gripe em idosos: estudo transversal, Cambé, Paraná, Brasil. Cad Saúde Pública 2012; 28:878-88..

Marital status was associated with influenza vaccination, such that single elders or those without partners showed lower vaccine coverage. This association has been shown in previous studies ¹⁵15. Lima-Costa MF. Factors associated with influenza vaccination among elderly in a metropolitan area in Southeastern Brazil. Rev Saúde Pública 2008; 42:100-7.^,1717. Campos EC, Sudan LCP, Mattos ED, Fidelis R. Fatores relacionados à vacinação contra a gripe em idosos: estudo transversal, Cambé, Paraná, Brasil. Cad Saúde Pública 2012; 28:878-88.. This finding may express lack of conjugal support in health-related and financial issues ¹⁸18. Lillard LA, Waite LJ. Til death do us part: marital disruption and mortality. Am J Sociol 1995; 100:1131-56.. A study that compared the use of health services showed that the odds of hospitalization were higher among unmarried individuals, while the odds of using outpatient services were higher among married individuals ¹⁹19. Pandey KR, Yang F, Cagney KA, Smieliauskas F, Meltzer DO, Ruhnke GW. The impact of marital status on health care utilization among Medicare beneficiaries. Medicine (Baltimore) 2019; 98:e14871.. Another study found that persons are more likely to adopt positive health behaviors when spouses/partners also adopt them ²⁰20. Jackson SE, Steptoe A, Wardle J. The influence of partner&apos;s behavior on health behavior change: the English Longitudinal Study of Ageing. JAMA Intern Med 2015; 175:385-92..

Healthier behaviors are associated with positive health outcomes ²¹21. Byrne DW, Rolando LA, Aliyu MH, McGown PW, Connor LR, Awalt BM, et al. Modifiable healthy lifestyle behaviors: 10-year health outcomes from a health promotion program. Am J Prev Med 2016; 51:1027-37.. Regular physical activity is described as an important marker for the adoption of such behaviors. Many studies have shown that physical activity is positively associated with influenza vaccination ⁶6. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840.^,77. Bof de Andrade F, Sato APS, Moura RF, Ferreira Antunes JL. Correlates of influenza vaccine uptake among community-dwelling older adults in Brazil. Hum Vaccin Immunother 2017; 13:103-10.^,2222. Hellfritzsch M, Thomsen RW, Baggesen LM, Larsen FB, Sørensen HT, Christiansen CF. Lifestyle, socioeconomic characteristics, and medical history of elderly persons who receive seasonal influenza vaccination in a tax-supported healthcare system. Vaccine 2017; 35:2396-403.^,2323. Kwon DS, Kim K, Park SM. Factors associated with influenza vaccination coverage among the elderly in South Korea: the Fourth Korean National Health and Nutrition Examination Survey (KNHANES IV). BMJ Open 2016; 6:e012618.^,2424. Chang YC, Huang N, Chen LS, Hsu SW, Chou YJ. Factors affecting repeated influenza vaccination among older people in Taiwan. Vaccine 2013; 31:410-6..

Various studies have identified individual interaction with health services as a predictor of influenza vaccination. Frequent use of health services may result in more access to information on vaccination campaigns and the importance of getting vaccinated, besides helping reduce inequality in access to health ⁵5. Moura RF, Andrade FB, Duarte YA, Lebrão ML, Antunes JL. Fatores associados à adesão à vacinação anti-influenza em idosos não institucionalizados, São Paulo, Brasil. Cad Saúde Pública 2015; 31:2157-68.^,66. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840.^,77. Bof de Andrade F, Sato APS, Moura RF, Ferreira Antunes JL. Correlates of influenza vaccine uptake among community-dwelling older adults in Brazil. Hum Vaccin Immunother 2017; 13:103-10.^,88. Sato APS, Antunes JLF, Costa MFFL, Andrade FB. Influenza vaccine uptake among older adults in Brazil: socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2019; 19:30257-6.^,1414. Donalisio MR, Ruiz T, Cordeiro R. Fatores associados à vacinação contra influenza em idosos em município do Sudeste do Brasil. Rev Saúde Pública 2006; 40:115-9.^,1515. Lima-Costa MF. Factors associated with influenza vaccination among elderly in a metropolitan area in Southeastern Brazil. Rev Saúde Pública 2008; 42:100-7.^,1616. Francisco PMSB, Barros MBA, Cordeiro MRD. Vacinação contra influenza em idosos: prevalência, fatores associados e motivos da não-adesão em Campinas, São Paulo, Brasil. Cad Saúde Pública 2011; 27:417-26..

In many studies, attendance at health service is linked to chronic diseases such as hypertension, diabetes, and cardiovascular and pulmonary diseases ⁵5. Moura RF, Andrade FB, Duarte YA, Lebrão ML, Antunes JL. Fatores associados à adesão à vacinação anti-influenza em idosos não institucionalizados, São Paulo, Brasil. Cad Saúde Pública 2015; 31:2157-68.^,66. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840.^,77. Bof de Andrade F, Sato APS, Moura RF, Ferreira Antunes JL. Correlates of influenza vaccine uptake among community-dwelling older adults in Brazil. Hum Vaccin Immunother 2017; 13:103-10.^,88. Sato APS, Antunes JLF, Costa MFFL, Andrade FB. Influenza vaccine uptake among older adults in Brazil: socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2019; 19:30257-6.^,1515. Lima-Costa MF. Factors associated with influenza vaccination among elderly in a metropolitan area in Southeastern Brazil. Rev Saúde Pública 2008; 42:100-7.^,1616. Francisco PMSB, Barros MBA, Cordeiro MRD. Vacinação contra influenza em idosos: prevalência, fatores associados e motivos da não-adesão em Campinas, São Paulo, Brasil. Cad Saúde Pública 2011; 27:417-26.. In the city of São Paulo in 2010, a positive association was seen between influenza vaccination and chronic diseases such as hypertension, diabetes, and cardiovascular disease ⁶6. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840.. Brazilian studies have shown an association between vaccination and the number of chronic diseases ⁷7. Bof de Andrade F, Sato APS, Moura RF, Ferreira Antunes JL. Correlates of influenza vaccine uptake among community-dwelling older adults in Brazil. Hum Vaccin Immunother 2017; 13:103-10.^,88. Sato APS, Antunes JLF, Costa MFFL, Andrade FB. Influenza vaccine uptake among older adults in Brazil: socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2019; 19:30257-6.. The current study did not find an association between vaccination and presence of chronic diseases, suggesting that vaccination activities are more effective, reaching the elderly population as a whole, without inequalities between social strata, and that health services are fulfilling their role in supplying information, without differences between individuals on the basis of whether they attend health units due to chronic conditions.

The persistent lack of inequalities in vaccination between educational strata is an important result of the study, suggesting that the program has already reached universal coverage, a result found in previous studies in the city of São Paulo ⁶6. Sato APS, Antunes JLF, Moura RF, Andrade FB, Duarte YAO, Lebrão ML Factors associated to vaccination against influenza among elderly in a large Brazilian Metropolis. PLoS One 2015; 10:e0123840. and in Brazil ⁸8. Sato APS, Antunes JLF, Costa MFFL, Andrade FB. Influenza vaccine uptake among older adults in Brazil: socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2019; 19:30257-6.. Influenza vaccination of the elderly is an important and effective strategy for reducing inequality between social strata in the burden of disease. A study that assessed the impact from influenza vaccination in the city of São Paulo from 1998 to 2002 pointed to a 26.3% drop in mortality from pneumonia and influenza, with the largest reduction in the city’s more socially underprivileged areas ²⁵25. Antunes JLF, Waldman EA, Borrell C, Paiva TM. Effectiveness of influenza vaccination and its impact on health inequalities. Int J Epidemiol 2007; 36:1319-26..

An important strength was that the study analyzed a representative sample of the elderly population in a large metropolis, allowing a more extensive assessment than the inference of vaccine coverage based on the number of doses administered. The use of data from the SABE Study is also a strength, since SABE’s standardized methodology allows comparability over time, between the years 2006, 2010, and 2015. The samples’ representativeness in all the years allows direct comparison of the studies’ results in a ten-year period. The study’s main limitation is self-report of information on influenza vaccination, which is subject to recall bias, without documental validation such as by consulting the individual’s vaccination card. Self-reported information on vaccination showed high sensitivity (98%) and moderate specificity (71%) in a study of elderly ²⁶26. MacDonald R, Baken L, Nelson A, Nichol KL. Validation of self-report of influenza and pneumococcal vaccination status in elderly outpatients. Am J Prev Med 1999; 163:173-7.. Other more recent studies corroborate the validity of self-reported data on influenza vaccination in the elderly population ²⁷27. Rolnick SJ, Parker ED, Nordin JD, Hedblom BD, Wei F, Kerby T, et al. Self-report compared to electronic medical record across eight adult vaccines: do results vary by demographic factors? Vaccine 2013; 31:3928-35.^,2828. Setbon M, Raude J. Factors in vaccination intention against the pandemic influenza A/H1N1. Eur J Public Health 2010; 20:490-4..

In conclusion, the study provides relevant findings for planning immunization programs, pointing to unmarried and physically inactive elders as a priority for targeting influenza vaccination. The study values the elderly’s interaction with health services, noting that individuals who had not interacted even once in the previous year were less likely to be vaccinated. The lack of association with chronic diseases suggests that health services are fulfilling their role of providing information on the influenza vaccine, independently of attending health services for treatment of such conditions. All these results highlight the importance of continuously assessing vaccine coverage rates and associated factors.

Acknowledgments

The authors wish to thank the São Paulo State Research Foundation (FAPESP) for grant 2014/50649-6.

References

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