ABSTRACT
Objective
To estimate vaccination coverage and analyze sociodemographic factors associated with non-vaccination in children born in 2017 and 2018 in the state capitals of Northeast Brazil.
Methods
A household survey using cluster sampling was conducted from 2020-2022 to estimate vaccination coverage and hesitancy. Factors associated with non-vaccination were analyzed using logistic regression to calculate Odds Ratios (OR) and their Confidence Intervals (95%CI).
Results
Natal was the capital with the lowest vaccination coverage, below 75.0% for most immunizers. Teresina had rates equal to or greater than 90.0% for all vaccines. Among those interviewed, 99.1% (95%CI 98.9;99.3) believe that vaccines are important for health; 95.4% (95%CI 95.0;95.8) trust immunobiologicals and 79.6% (95%CI% 78.8;80.3) are not afraid of reactions. Belonging to the highest socioeconomic stratum (adjusted OR: 1.34 – 95%CI 1.20;1.50) was as a factor associated with non-vaccination.
Conclusion
Low coverage highlights the need for a better understanding of regional specificities and social inequalities.
Palabras clave
Cobertura de Vacunación; Vacilación a la Vacunación; Vacunación Masiva; Programas de Inmunización; Encuesta epidemiológica
Study contributions
Main results
Three northeastern capitals achieved targets for just two or three vaccines. The majority of interviewees expressed favorable opinions regarding the National Immunization Program. However, a third of those interviewed reported that they had sought vaccination but had been unable to vaccinate their children.
Implications for services
Rethinking immunization strategies in the Brazilian National Health System, to adapt them to regional contexts. Operational obstacles related to the supply of vaccines require special attention, in addition to integrated health communication and education actions.
Perspectives
Understanding the regional specificities presented will support the National Immunization Program in implementing strategies contextualized to territories, via microplanning of vaccination actions, to recover vaccination coverage.
Palabras clave
Cobertura de Vacunación; Vacilación a la Vacunación; Vacunación Masiva; Programas de Inmunización; Encuesta epidemiológica
RESUMEN
Objetivo
Estimar cobertura vacunal, analizar factores sociodemográficos asociados a la no vacunación en niños nacidos vivos en 2017/2018 en capitales del noreste de Brasil.
Métodos
Se realizó encuesta de hogares con muestreo por conglomerados, entre 2020/ 2022, para estimar cobertura y reticencias a vacunarse. Factores asociados a bajas coberturas de vacunación se analizaron mediante regresión logística calculando los odds ratios (OR) y sus intervalos de confianza (IC del 95%).
Resultados
La capital con menor cobertura de vacunación: Natal, con < 75,0% para la mayoría de inmunizadores; Teresina presentó cobertura ≥ 90,0% en todos inmunizadores. 99,1% (IC95% 98,9%;99,3%) cree que vacunas son importantes para la salud; 95,4% (IC95% 95,0%;95,8%) confía en los inmunobiológicos distribuidos por gobierno y 79,6% (IC95% 78,8%;80,3%) no teme reacciones. Ser residente en zona de mayor estrato socioeconómico (Orajustado:1,34 - IC95% 1,20;1,50) se identificó como factor asociado a no vacunación.
Conclusión
Bajas coberturas destacan la necesidad de comprender mejor las especificidades regionales y desigualdades sociales.
Palabras clave
Cobertura de Vacunación; Vacilación a la Vacunación; Vacunación Masiva; Programas de Inmunización; Encuesta epidemiológica
INTRODUCTION
Investment in sustainable actions to expand vaccination coverage has contributed to the control of vaccine-preventable diseases in Brazil and around the world, reducing morbidity and mortality from these infections and increasing life expectancy.11 Domingues CMAS, Teixeira MGLS. Em: Coberturas vacinais e doenças imunopreveníveis no Brasil no período 1982-2012: avanços e desafios do Programa Nacional de Imunizações. Epidemiol Serv Saúde. 2013;22:9-27.,22 WHO. World Health Organization. 2023 Immunization agenda 2030: a global strategy to leave no one behind. Disponível em: https://www.who.int/teams/immunization-vaccines-and-biologicals/strategies/ia2030.
https://www.who.int/teams/immunization-v... In the Northeast region of Brazil, the expansion of the Family Health Strategy and income transfer initiatives have also been important for improving vaccination coverage.33 Ramos D, Silva NB, Ichihara MY, Fiaccone RL, Almeida D, Sena S, Barreto ML. Conditional cash transfer program and child mortality: A cross-sectional analysis nested within the 100 Million Brazilian Cohort. PLoS medicine. 2021;18(9):e1003509.,44 Silva ESA, Paes NA. Programa Bolsa Família e a redução da mortalidade infantil nos municípios do Semiárido brasileiro. Ciênc saúde coletiva [Internet]. 2019 Feb; 24(2):623-30. doi: https://doi.org/10.1590/1413-81232018242.04782017.
Intensification of immunization actions in the Brazilian Northeast has had a positive impact on the population’s health conditions. After the establishment of the National Plan to Eliminate Measles (1992), the state of Ceará spent 13 years (2000-2013) without recording any cases of the disease, between 2000 and 2013.55 Lemos DRQ. Epidemia de sarampo no Ceará em período pós-eliminação nas Américas: enfrentamento, resposta coordenada e avaliação de risco para reintrodução do vírus. Fortaleza: Universidade Estadual do Ceará. 2016. The introduction of the oral vaccine against human rotavirus (2006) reduced hospitalizations and deaths of children in the Northeast,66 Oliveira JF, Amaral JB, Oliveira KF, Gonçalves JRL. Avaliação do impacto da vacina oral contra rotavírus humano no Brasil. Revista de Enfermagem e Atenção à Saúde. 2014;3(1).,77 Correia JB, Patel MM, Nakagomi O, Montenegro FM, Germano EM, Correia NB, et al. Effectiveness of monovalent rotavirus vaccine (Rotarix) against severe diarrhea caused by serotypically unrelated G2P[4] strains in Brazil. J Infect Dis. 2010; 201:363-9. with the greatest drops seen in Recife-PE (77% between 2006 and 2007).88 Nascimento DC, Silvem EN, Soares SDL, Souza MATV, Souza LGA, Fachin LP. Meningite Meningocócica C: avaliação da incidência da doença na faixa etária pediátrica no nordeste brasileiro após a introdução da vacina meningocócica C conjugada pelo Programa Nacional de Imunizações do Sistema Único de Saúde. Brazilian Journal of Development. 2023;9(8):25194-25206. The introduction of the meningococcal C vaccine (2010) led to a notable decrease in cases of meningococcal meningitis due to this serogroup in the region – approximately 80%, between 2010 and 2018.99 Domingues CMAS, Fantinato FFST, Duarte E, Garcia LP. Vacina Brasil e estratégias de formação e desenvolvimento em imunizações. Epidemiol Serv Saúde [Internet]. 2019;28(2):e20190223. doi: https://doi.org/10.5123/S1679-49742019000200024.
https://doi.org/https://doi.org/10.5123/...
Despite the advances achieved in decades of coordinated work between the three public spheres of management of the Brazilian National Health System (Sistema Único de Saúde - SUS), as of 2016, there has been a significant decline in vaccination coverage of the main immunization agents recommended for children. In the Northeast, this reduction has been even greater in children under 1 year old, compared to other Brazilian regions.99 Domingues CMAS, Fantinato FFST, Duarte E, Garcia LP. Vacina Brasil e estratégias de formação e desenvolvimento em imunizações. Epidemiol Serv Saúde [Internet]. 2019;28(2):e20190223. doi: https://doi.org/10.5123/S1679-49742019000200024.
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10 Barboza MA, Pinheiro NVA, Souza YED, Andrade Ruela G. (2023). Um recorte epidemiológico da cobertura vacinal da poliomielite no nordeste do Brasil de 2012 a 2022. The Brazilian Journal of Infectious Diseases, 27, 103109.-1111 Lopes CAS, Souza FO, Santos DV, Bomfim GSS. Sarampo no Nordeste: análise da cobertura vacinal e dos casos confirmados de 2016 a 2020. REAS [Internet]. 13set.2021 [citado em 24 de março de 2024];13(9):e8482. Disponível em: https://acervomais.com.br/index.php/saude/article/view/8482.
Several hypotheses have been raised to explain this critical scenario, which should not be attributed to a single factor. Elimination of some vaccine-preventable diseases has changed the risk perception of a considerable portion of the population. A false sense of security has contributed to the failure to recognize vaccination as a necessary intervention for protecting health.1212 Homma A, et al. 2023 Pela reconquista das altas coberturas vacinais. Cadernos de Saúde Pública [online]. v. 39, n. 3. ISSN 1678-4464. doi: https://doi.org/10.1590/0102-311XPT240022.,1313 Zorzetto R. As razões da queda na vacinação. Pesqui Fapesp. 2018;(270):19-24. Misinformation, associated with the dissemination of fake news by anti-vaccine movements, is another relevant factor.1414 NESCOM/UFMG. Pesquisa nacional sobre cobertura vacinal, seus múltiplos determinantes e as ações de imunização nos territórios municipais brasileiros. [Minas Gerais]: NESCOM/UFMG: CONASEMS, 2023. Recent research showed that Brazil is experiencing an “epidemic of misinformation” about vaccines.1515 AVAAZ. As fake news estão nos deixando doentes? Como a desinformação antivacinas pode estar reduzindo as taxas de cobertura vacinal no Brasil. [São Paulo]: AVAAZ: SBim, 2019. Disponível em: https://cutt.ly/XmJX9bH Acesso em: 15 jul. 2021.
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In this context, vaccination hesitancy emerges as a worrying phenomenon. In addition to simply refusing vaccination, operational and structural aspects of immunization services need to be better understood.1616 Nuwarda RF, Ramzan I, Weekes L, Kayser V. Vaccine Hesitancy: Contemporary Issues and Historical Background. Vaccines (Basel). 2022 Sep 22;10(10):1595. doi: 10.3390/vaccines10101595. PMID: 36298459; PMCID: PMC9612044.
https://doi.org/10.3390/vaccines10101595... ,1717 MacDonald NE. SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: definition, scope and determinants. Vaccine. 2015;33(34):4161-4. doi: https://doi.org/10.1016/j.vaccine.2015.04.036.
https://doi.org/https://doi.org/10.1016/... In 2019, the World Health Organization (WHO) listed ten global health threats and included vaccination hesitancy among the priorities to be addressed.1818 WHO. World Health Organization. The thirteenth general programme of work, 2019-2023. Genebra: World Health Organization; 2019. Understanding these phenomena and identifying how they influence vaccination coverage is essential for providing evidence that supports the design of effective public policies that are contextualized to regional specificities.
Vaccination coverage rates reflect the population’s adherence to the immunization program, the existence of people at risk of vaccine-preventable diseases and the effectiveness of health services.1919 Teixeira AMS, Rocha CMV. Monitoramento da cobertura vacinal: uma metodologia para detecção e intervenção em situações de risco. Epidemiol. Serv. Saúde [online]. 2010;19:(3);217-226. Considering that carrying out surveys to assess vaccination coverage is a relevant action, this study aims to estimate vaccination coverage and analyze sociodemographic factors associated with non-vaccination in children born 2017 and 2018 in the state capital cities of Northeast Brazil.
METHODS
Study design
This is a household survey conducted between 2020 and 2022, using cluster sampling based on a cohort of children born alive in 2017 and 2018, in urban areas of the state capital cities of Northeast Brazil. This is a selected part taken from the Vaccination Coverage Survey in the capital cities of 26 states, the Federal District and 12 interior region municipalities of children born in 2017-2018 living in urban areas, details of the methods and operational aspects of which have been presented previously in an article.2020 Barata RB, França AP, Guibu IA, Vasconcellos MTLD, Moraes JCD. Inquérito Nacional de Cobertura Vacinal 2020: métodos e aspectos operacionais. Revista Brasileira de Epidemiologia. 2023;26:e230031.
Background
The Northeast region of Brazil covers an area of 1,558,000 km² and has an estimated population of 54,644,582 inhabitants (26.9% of the Brazilian population). The Northeast region capital cities have 11,385,286 inhabitants, whereby Aracaju (602,757) has the smallest population and Fortaleza (2,428,708) has the largest.2121 IBGE. Instituto Brasileiro de Geografia e Estatística. Censo 2022. [s.l]. 2021. Disponível em: https://censo2022.ibge.gov.br/sobre/conhecendo-o-brasil.html.
https://censo2022.ibge.gov.br/sobre/conh...
Population and data source
The study population is made up of children born in 2017 and 2018, residing in the nine state capital cities of the Northeast region, according to the Live Birth Information System (Sistema de Informação de Nascidos Vivos - SINASC). The data source was the national survey mentioned above.
Sampling procedure
The study included children whose vaccination trajectories were analyzed from birth to 24 months of age, whose addresses, as per the SINASC, were georeferenced in census tracts of residence and grouped into clusters formed by four ecological strata (A, B, C , D) defined by socioeconomic characteristics, in which A presents the best living conditions, and D, the poorest.
The census tracts of each city were used to define the strata, according to the 2010 Demographic Census, classified based on the average income of the heads of household, the proportion of literate heads of household and the proportion of heads of household with income greater than or equal to 20 minimum wages.
Random selection of the expected number of children in each stratum was performed taking the clusters. Sample size in the strata varied according to the number of surveys carried out in the municipalities, and was defined according to guidelines established in the published article which describes the methodology.2020 Barata RB, França AP, Guibu IA, Vasconcellos MTLD, Moraes JCD. Inquérito Nacional de Cobertura Vacinal 2020: métodos e aspectos operacionais. Revista Brasileira de Epidemiologia. 2023;26:e230031.
Data collection and variables
Household visits took place from 2020 to 2022, according to the addresses identified on the SINASC. A questionnaire was used to collect information on the following sociodemographic characteristics:
Family: household crowding (yes/no), grandparent living in the household (yes/no), access to social benefits (yes/no) and monthly income (up to BRL 1,000, BRL 1,001-BRL 3,000, BRL 3,001-BRL 8,000, and more than BRL 8,000);
Mother of the child: age group (< 20 years, 20-34 years, 35 years or over), race/skin color (White, Black, mixed race, Asian, Indigenous), schooling (years of study: 0-8, 9-12, 13-15, 16 or more), having a job (yes/no), living with a partner (yes/no), number of children alive;
Child: sex (male/female), race/skin color, attends daycare (yes/no), type of child delivery (normal/cesarean), birth order.
Regarding immunization, information was collected regarding type of vaccine and number of doses received. The full vaccination schedule considered in this study, up to 24 months of life, was that recommended by the National Immunization Program (Programa Nacional de Imunizações - PNI), which includes administration of the following vaccines: Bacillus Calmette-Guérin (BCG) and hepatitis B, at birth; 5-in-1 (against diphtheria, tetanus, pertussis, hepatitis B and Haemophilus influenzae B) and inactivated poliovirus vaccine (IPV), at 2, 4 and 6 months; pneumococcal 10-valent and human rotavirus vaccine, at 2 and 4 months; yellow fever vaccine, at 9 months; meningococcal C conjugate vaccine, at 3, 5 and 12 months; MMR vaccine (against measles, mumps and rubella), at 12 and 15 months; and adsorbed diphtheria, tetanus and pertussis (DTP) vaccine, hepatitis A, oral poliovirus vaccine (OPV) and varicella, at 15 months old.
Vaccination hesitancy was analyzed from the viewpoint of those responsible for the children, addressing questions about beliefs (confidence in vaccines), fear of reactions, importance of vaccination and the decision to vaccinate (or not). The answers were interpreted as unfavorable, indifferent or favorable to the actions proposed by the PNI. Personal issues (difficulties in taking the child to be vaccinated) and operational issues (barriers to accessing services) that could make vaccination difficult were also raised.
Finally, vaccination status was verified by means of the photographic record of the child’s vaccination card.
Statistical methods
Vaccination coverage indicators were calculated considering the total number of last doses of the schedule for each immunizing agent received (numerator) and the sample population (denominator), multiplied by 100. The targets of the National Child Vaccination Calendar were used as a reference, namely: 90% for BCG and human rotavirus vaccines; 95% for other vaccines. In this study, the analyses did not include yellow fever vaccine, because in 2017 and 2018 there was no recommendation for this immunobiological product for most states in the Northeast.
Weighted estimates of vaccination coverage and confidence intervals (95%CI) were calculated for each vaccine, using statistical significance of p < 0.05.2121 IBGE. Instituto Brasileiro de Geografia e Estatística. Censo 2022. [s.l]. 2021. Disponível em: https://censo2022.ibge.gov.br/sobre/conhecendo-o-brasil.html.
https://censo2022.ibge.gov.br/sobre/conh...
Exploratory analysis was performed to identify risk factors associated with non-vaccination, using logistic regression, with calculation of the crude odds ratio (ORc) and 95% confidence intervals (95%CI). Variables that showed association with p < 0.20 in the univariate regression were included in the model, with calculation of the adjusted odds ratio (OR-a), using the stepwise method. Model collinearity was checked for by analysis of the variance inflation factor, excluding those variables with presence of this factor from the model. For the dependent variable – vaccination status at 24 months of age – dichotomization was carried out as fully vaccinated (reference), considering children who had received all vaccination schedule doses, or not fully vaccinated, for those lacking one or more valid doses of the vaccination schedule.
The analyses were conducted using R® software version 4.2.2, using the tidyverse package; Stata® version 13 and Microsoft Office Excel®.
Ethical considerations
The study was approved by the Research Ethics Committee of the Instituto de Saúde Coletiva da Universidade Federal da Bahia, as per Opinion No. 3.366.818, on June 4, 2019, and Certificate of Submission for Ethical Appraisal (Certificado de Apresentação de Apreciação Ética - CAAE) No. 4306919.5.0000.5030; and by the Research Ethics Committee of the Irmandade da Santa Casa de São Paulo, as per Opinion No. 4.380.019, on November 4, 2020, and CAAE No. 39412020.0.0000.5479.
RESULTS
A total of 10,290 interviews were carried out, distributed proportionally between socioeconomic strata and cities. Of this total, 2,249 (21.9%) belonged to stratum A; 2,659 (25.8%), to stratum B; 2,677 (26.0%), to stratum C; and 2,705 (26.3%), to stratum D. The largest number of interviews occurred in Salvador (1,818; 17.7%), Recife (1,689; 16.4%) and Fortaleza (1,612; 15.7%); while the lowest number of interviews occurred in Natal (685; 6.7%). The children’s vaccination card was provided by 99.2% of families for photographing. Use of private vaccination services at least once was identified in 15.0% of the interviews (Table 1).
Proportion (%) of the sociodemographic characteristics of the families of children born in 2017-2018, by state capital cities of the Northeast region of Brazil, Vaccination Coverage Survey 2020-2022 (n = 10,290)
We found that there was household crowding in 9.3% of households (more than three people per bedroom), and 36.0% of families had access to social benefits. Monthly family income of up to BRL 1,000.00 was found for 34.1% of interviewees, with a higher proportion in stratum D (53.4%) and a lower proportion in stratum A (12.9%). Maceió had the largest share of families in this income range (46.8%). Only 5.7% reported monthly income greater than BRL 8,000.00, being concentrated in stratum A (29.7%) and in Aracaju (13.9%) (Table 1).
Mothers of mixed race or Black race/skin color (71.1%) predominated, ranging from 55.8% (Natal) to 82.3% (Salvador). Mothers of White race/skin color were most frequently reported in stratum A (40.0%), while those of Black race/skin color were most frequently reported in stratum D (20.1%). The majority of mothers (43.4%) had completed between 13 and 15 years of formal education, mainly in strata C (52.0%) and D (47.7%) (Table 1).
The majority of children were male (52.3%), mainly in strata B and C. In stratum A (50.5%) and in the cities of Teresina (51.7%) and Recife (50.4%), the majority were female. Mixed race children (55.2%) predominated overall, and in Fortaleza accounted for 66.4%. The highest proportion of children of White race/skin color was found in Natal (55.6%), above the overall percentage (34.1%) (Table 1).
In the analysis of vaccination coverage, four state capitals achieved the target for at least one product: Recife [BCG, 93.2% (95%CI 91.7;94.7)]; Salvador [BCG, 95.3% (95%CI 94.4;96.38); pneumococcal 10, 95.4% (95%CI 94.4;96.3)], São Luís [BCG, 95.1% (95%CI 93.6;96.6); pneumococcal 10, 95.2% (95%CI 93.7;96.6)] and Teresina [BCG, 94.9% (95%CI 93.4;96.3); pneumococcal 10, 97.3% (95%CI 96.3;98.4); human rotavirus, 90,3% (95%CI 88.4;92.3); meningococcal C, 96.0% (95%CI 94.7;97.2); MMR, 97.1% (95%CI 96.0;98.2); hepatite A, 95.6% (95%IC 94.2;97.0)]. The remaining state capitals did not achieve the targets for any of the vaccines. Natal had lower vaccination coverage, with an overall average of 77.3%; on the other hand, Teresina had the best indicators, both in the joint average (93.9%) and in the analysis by vaccine, being the only city where all vaccines had coverage greater than or equal to 90% (Table 2).
Vaccination coverage (%) and 95% confidence intervals for vaccines among children born in 2017-2018 in state capital cities of the Northeast region of Brazil, Vaccination Coverage Survey 2020-2022 (n = 10,290)
With regard to the evolution of vaccination coverage, depending on the sequence provided for by the vaccination calendar, heterogeneous behavior was found between the state capitals, with three of them (Teresina, Salvador and Aracaju) performing better than the national average; a further three (Fortaleza, João Pessoa and Natal) performed below the national average; and the remaining cities (Recife, São Luís and Aracaju) were in the same range as the national vaccination coverage. Natal stood out as the capital city with the poorest performance, the highest being 70.9% for BCG and the lowest being 36.6% for varicella (Figure 1).
Evolution of vaccination coverage among children born in 2017-2018, by vaccines and state capital cities of the Northeast region of Brazil, Vaccination Coverage Survey 2020-2022 (n = 10,290)
In the perception of parents/guardians regarding issues involving vaccination hesitancy, 99.1% (95%CI 98.9;99.3) believed that vaccines are important for children’s health, with little variation between strata. Regarding the need to be vaccinated against diseases that may no longer exist, 80.7% (95%CI 79.9;81.4) considered it necessary to maintain vaccination. 98.6% (95%CI 98.3;98.7) of parents/guardians agreed with the statement that “vaccinating children is important for the health of children in the neighborhood”, with no significant variation between strata and capital cities.
Regarding the possibility of adverse reactions occurring after vaccines being administered, 20.4% (95%CI 19.6;21.2) of those interviewed said they believe that reactions occur due to vaccines. In stratum D, 20.2% (95%CI 18.8;21.8) of respondents agreed with this belief, while in stratum A this perception fell to 13.2% (95%CI 11.9;14.6). Confidence in vaccines distributed by the government was present in 95.4% of responses, with higher proportions in stratum A (97.0%) and in Fortaleza (98.1%); and lower in stratum C (94.3%) and in Maceió (90.3%) (Figure 2).
Perception regarding vaccines, according to parents and guardians of children born in 2017 and 2018, in the state capital cities of the Northeast region of Brazil, Vaccination Coverage Survey 2020-2022 (n = 10,290)
The decision to vaccinate their children with all vaccines available was reported by 96.9% of respondents. Three families (in Natal, Recife and São Luís) chose not to have any vaccine administered, while 265 (2.6%) decided not to administered some of the vaccines. In this latter group, when interviewees were asked about the reasons for their answer, the following justifications stood out: fear of reaction (45.3%), fear of injections (21.5%), not believing in vaccines (15, 8%), the doctor advised them not to vaccinate (12.9%), believing that vaccines are harmful (11.7%), news in the media made them drop out of the vaccination schedule (8.2%) and the belief that the disease no longer exists (5.9%).
When asked if they had difficulty taking their child to the vaccination service, 852 (8.3%) said they did. Of these, 46.6% explained that the health center was a long way away; 35.7% reported not having time to take their child to be vaccinated; 28.9% indicated that the health center opening hours were incompatible; 27.3% reported that they did not have transport; 22.8% did not have enough money; 7.4% said their employer would not give them time off; and 3.1% because they had lost their child’s vaccination card.
When asked whether their child had failed to be vaccinated despite being taken to the health center, there were 3,572 (34.7%) positive responses. The main reasons were: lack of vaccine (86.8%), closed vaccination room (23.5%), lack of material (19.4%), absence of a health professional (15.3%), health professional who recommended not administering vaccines on the same day (14.9%), there was a long line (13.7%), no more line number tickets available (12.3%), it was not the right day for that vaccine (10.6%).
In the multivariate analysis, factors associated with non-vaccination were found to be living in areas of the highest socioeconomic stratum – A – (OR-a = 1.34; 95%CI 1.20;1.50), with emphasis on people living in São Luís (OR-a = 2.78; 95%CI 2.33;3.32), use of a private vaccination service (OR-a = 2.13; 95%CI 1.87;2.42 ), mother or guardian without a paid job (OR-a = 1.11; 95%CI 1.02;1.21) and having more than one child (OR-a = 1.21; 95 %CI 1.17;1.26). There was no statistically significant association with child-related characteristics (Table 3).
Sociodemographic factors associated with non-vaccination among children born in 2017-2018, in the state capital cities of the Northeast region of Brazil, Vaccination Coverage Survey 2020-2022 (n = 10,290)
DISCUSSION
The findings of this study are in line with the worrying scenario of low coverage observed in Brazil.2222 Queiroz LLC, Monteiro SG, Mochel EG, Veras MASM, Sousa FGM, Bezerra MLM, et al. Cobertura vacinal do esquema básico para o primeiro ano de vida nas capitais do Nordeste brasileiro. Cad Saúde Pública [Internet]. 2013 Feb;29(2):294-302. doi: https://doi.org/10.1590/S0102-311X2013000200016.
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23 Queiroz RCCS, Queiroz RCS, Rocha TAH, Silva FS, Santos IG, Silva IP, et al. Vaccination services and incomplete vaccine coverage for children: a comparative spatial analysis of the BRISA cohorts, São Luís (Maranhão State) and Ribeirão Preto (São Paulo State), Brazil. Cad Saúde Pública [Internet]. 2021;37(6):e00037020. doi: https://doi.org/10.1590/0102-311X00037020.
https://doi.org/https://doi.org/10.1590/... -2424 Procianoy GS, Rossini Junior F, Lied AF, Jung LFPP, Souza MCSC. Impacto da pandemia do COVID-19 na vacinação de crianças de até um ano de idade: um estudo ecológico. Ciênc saúde coletiva [Internet]. 2022 Mar;27(3):969-78. doi: https://doi.org/10.1590/1413-81232022273.20082021.
https://doi.org/https://doi.org/10.1590/... The targets were not achieved for any of the vaccines assessed in the Northeastern capital cities taken together. Aspects related to social vulnerability, such as a mother with more than one child and no paid work, as well as the use of private health services and belonging to the highest socioeconomic stratum were associated with lower coverage. Operational issues related to health services are an important point regarding vaccination hesitancy, in addition to misinformation about vaccines.
It is worth noting that, even before the COVID-19 pandemic, when social distancing was recommended, inadequate vaccination coverage was already being highlighted, becoming a priority on the global health agenda.2525 Leite IS, Ribeiro DAG, Vieira ILV, Gama FO. (2022). A evolução das coberturas vacinais brasileiras e os impactos provocados pela pandemia de Covid-19 nas metas de imunização. Research, Society and Development. 2022;11(11): e205111133041-e205111133041. In 2019, the year immediately after the birth of the children monitored in this study, Brazil had not achieved the target for any of the vaccines recommended for children under 1 year old.1111 Lopes CAS, Souza FO, Santos DV, Bomfim GSS. Sarampo no Nordeste: análise da cobertura vacinal e dos casos confirmados de 2016 a 2020. REAS [Internet]. 13set.2021 [citado em 24 de março de 2024];13(9):e8482. Disponível em: https://acervomais.com.br/index.php/saude/article/view/8482.
The reduction in vaccination coverage may reflect, among other factors, the increase in the dropout rate, which refers to people who started but did not complete the vaccination schedule. This is a worrying scenario, because receiving the initial doses may create the false impression that some immunity has been achieved; however, it is known that immunological protection will only be achieved after taking the full vaccination schedule.2626 Silva BS, Souza KC, Souza RG, Rodrigues SB, Oliveira VC, Guimarães EAA. Structural and procedural conditions in National Immunization Program Information System establishment. Rev. Bras. Enferm. 2020;73(4). doi.org/10.1590/0034-7167-2018-0939 pp: e20180939.,2727 Sato APS. National Immunization Program: Computerized System as a tool for new challenges. Rev Saúde Pública. 2015;49:39. doi:10.1590/S0034-8910.2015049005925; REF: Silva AA, et al. Avaliação do Sistema de Vigilância do Programa Nacional de Imunizações - Módulo Registro do Vacinado, Brasil, 2017. Epidemiol. Serv. Saúde, Brasília, v. 30, n. 1, e2019596, 2021. Disponível em: <http://scielo.iec.gov.br/scielo.php?script=sci_arttext&pid=S1679-49742021000100027&lng=pt&nrm=iso>.
The higher proportion of non-vaccination in the highest socioeconomic stratum may be influenced by vaccination hesitancy in the population with better family income, among which parent/guardian intention to postpone vaccination or not to vaccinate their children is seen to be greater.2727 Sato APS. National Immunization Program: Computerized System as a tool for new challenges. Rev Saúde Pública. 2015;49:39. doi:10.1590/S0034-8910.2015049005925; REF: Silva AA, et al. Avaliação do Sistema de Vigilância do Programa Nacional de Imunizações - Módulo Registro do Vacinado, Brasil, 2017. Epidemiol. Serv. Saúde, Brasília, v. 30, n. 1, e2019596, 2021. Disponível em: <http://scielo.iec.gov.br/scielo.php?script=sci_arttext&pid=S1679-49742021000100027&lng=pt&nrm=iso>.,2828 Dubé E, Vivion M, MacDonald NE. Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications. Expert Rev Vaccines. 2015 Jan;14(1):99-117. doi: 10.1586/14760584.2015.964212. Epub 2014 Nov 6. PMID: 25373435).
https://doi.org/10.1586/14760584.2015.96... Added to this is the use of private vaccination services by the population belonging to this stratum, mentioned in previous vaccination surveys in Brazil, which may compromise the monitoring of vaccination status, given the unavailability of these data on the PNI Information System.2828 Dubé E, Vivion M, MacDonald NE. Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications. Expert Rev Vaccines. 2015 Jan;14(1):99-117. doi: 10.1586/14760584.2015.964212. Epub 2014 Nov 6. PMID: 25373435).
https://doi.org/10.1586/14760584.2015.96... In contrast, incomplete vaccination coverage was also associated with the presence of more than one child, demonstrating the influence of the context of socioeconomic vulnerability.2929 Barata RB, Ribeiro MC, Moraes JC, Flannery B. Vaccine Coverage Survey 2007 Group. Socioeconomic inequalities and vaccination coverage: results of an immunisation coverage survey in 27 Brazilian capitals, 2007-2008. J Epidemiol Community Health. 2012 Oct;66(10):934-41. doi: 10.1136/jech-2011-200341. Epub 2012 Jan 19. PMID: 22268129; PMCID: PMC3433223).
https://doi.org/10.1136/jech-2011-200341...
In addition to vaccination coverage indicators and associated factors, aspects related to vaccination hesitancy found by this study bring relevant perspectives. Although it is known that acceptance of vaccination by the general population is no longer the same, nor as obvious, as in previous decades, the findings of this survey indicate that the absolute majority of respondents (99.1%) believe that vaccines are important, countering the global trend of vaccination hesitancy. Two extreme behaviors – “receiving all doses of the vaccination schedule” and “not accepting any doses” – demonstrate heterogeneity in behavior, challenging the understanding of these complex dynamics. Currently, the Strategic Advisory Group of Experts on Immunization (SAGE) considers that, in addition to simple individual refusal, vaccination hesitancy can be present in external situations caused by structural problems, such as low availability of vaccine stock, access barriers, limited supply times and economic difficulties, among others.1616 Nuwarda RF, Ramzan I, Weekes L, Kayser V. Vaccine Hesitancy: Contemporary Issues and Historical Background. Vaccines (Basel). 2022 Sep 22;10(10):1595. doi: 10.3390/vaccines10101595. PMID: 36298459; PMCID: PMC9612044.
https://doi.org/10.3390/vaccines10101595...
17 MacDonald NE. SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: definition, scope and determinants. Vaccine. 2015;33(34):4161-4. doi: https://doi.org/10.1016/j.vaccine.2015.04.036.
https://doi.org/https://doi.org/10.1016/... -1818 WHO. World Health Organization. The thirteenth general programme of work, 2019-2023. Genebra: World Health Organization; 2019.
Some of the interviewees were unable to vaccinate their children, despite having gone to the vaccination service, which demonstrates that operational issues can cause access barriers. Health center opening hours are incompatible with the needs of the population, especially mothers, many of whom are breadwinners and have jobs.3030 Domingues CMAS, Maranhão AGK, Teixeira AM, Fantinato FFS, Domingues RAS. 46 anos do Programa Nacional de Imunizações: uma história repleta de conquistas e desafios a serem superados. Cad Saúde Pública [Internet]. 2020;36:e00222919. doi: https://doi.org/10.1590/0102-311X.
https://doi.org/https://doi.org/10.1590/... In the case of women who work, often on the informal labor market, having to return to the vaccination service means taking time off from work and earning less income. Even more critically, the association of non-vaccination, in Brazilian capital cities, with the absence of paid work for mothers and for those with more than one child alive leads to the understanding of the influence of contexts of social inequities on restricting access to vaccination actions, above all in the case of very young children.2929 Barata RB, Ribeiro MC, Moraes JC, Flannery B. Vaccine Coverage Survey 2007 Group. Socioeconomic inequalities and vaccination coverage: results of an immunisation coverage survey in 27 Brazilian capitals, 2007-2008. J Epidemiol Community Health. 2012 Oct;66(10):934-41. doi: 10.1136/jech-2011-200341. Epub 2012 Jan 19. PMID: 22268129; PMCID: PMC3433223).
https://doi.org/10.1136/jech-2011-200341... For the health system, this means lost opportunities for vaccination, defined as the failure to administer indicated vaccine doses in appropriate situations, when there has been any contact with the eligible person.
To ensure that the vaccination schedule of a child under 1 year old is up-to-date, it is necessary to visit the vaccination service at least seven times. Hence the importance of broad and continuous access to vaccines, so as not to miss vaccination opportunities. It is essential to review the actions and functioning of vaccination services in order to achieve adequate vaccination coverage, taking into consideration the needs of the population.3030 Domingues CMAS, Maranhão AGK, Teixeira AM, Fantinato FFS, Domingues RAS. 46 anos do Programa Nacional de Imunizações: uma história repleta de conquistas e desafios a serem superados. Cad Saúde Pública [Internet]. 2020;36:e00222919. doi: https://doi.org/10.1590/0102-311X.
https://doi.org/https://doi.org/10.1590/...
Adoption of microplanning strategies, based on heath situation analysis in the different contexts of the SUS, is considered a necessary action. Territorial recognition of risk and vulnerability situations, as well as identification of susceptible populations and health service conditions (infrastructure and available teams) must be incorporated into the planning and execution of actions.
In times of infodemics, social communication and population engagement are essential to join efforts in favor of vaccination. Information and communication actions must be incorporated into all stages of the process, seeking to translate, in a clear, attractive and precise way, the importance, safety and effectiveness of vaccines provided by the SUS.1515 AVAAZ. As fake news estão nos deixando doentes? Como a desinformação antivacinas pode estar reduzindo as taxas de cobertura vacinal no Brasil. [São Paulo]: AVAAZ: SBim, 2019. Disponível em: https://cutt.ly/XmJX9bH Acesso em: 15 jul. 2021.
https://cutt.ly/XmJX9bH...
The limitations of this study are inherent to household surveys, including logistical challenges, especially in hard-to-reach areas, refusals to participate in the survey and memory biases, as these are vaccines received in the past, which can interfere with the accuracy of the replies. Due to the COVID-19 pandemic period, fieldwork was interrupted at the most critical moments of the health crisis. To overcome these setbacks, investment was made in team training, prior scheduling and communication actions regarding safety measures.
Availability of address information on the SINASC was limited in certain areas, overloading the field team when having to search for addresses in other sources. The low quality of records on vaccination cards was also a complication, both due to the lack of standardization and the incompleteness of the data. Nevertheless, this study reinforces the importance of local research, especially after the recovery of PNI strategic actions from 2023 onwards. However, it can be further deepened with the application of more robust causal models.
Vaccination coverage in children under 24 months old born in 2017 and 2018 in the capital cities of Northeast Brazil was below pre-established parameters, both as a whole and for each vaccine individually. In all capitals, there was a drastic reduction in vaccination coverage throughout the observation period. Different dimensions of social vulnerability, operational aspects of private services, access to public services and belonging to the highest socioeconomic stratum (A) were associated with lower coverage. In situations of vaccination hesitancy, operational aspects and those related to misinformation stood out.
Obstacles inherent to the ways in which vaccination services are offered require special attention. Integrated health communication and education actions are essential to minimize uncertainty about vaccines. Rethinking current immunization strategies in the SUS, in order to adapt them to regional contexts and specificities, is necessary to support more precise analyses of the challenging aspects related to low coverage and the operational aspects that permeate them.
FUNDING
Process No. 404131, of the Departamento de Ciência e Tecnologia do Ministério da Saúde, via the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), for the research project entitled Inquérito de cobertura vacinal nas capitais de 26 Estados, no Distrito Federal e em 12 municípios do interior em crianças nascidas em 2017-2018 residentes em área urbana.
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Publication Dates
- Publication in this collection
01 Nov 2024 - Date of issue
2024
History
- Received
12 Mar 2023 - Accepted
08 July 2024