Abstract
Background: Addressing Missed Opportunities for Vaccination (MOV) contributes to increased vaccination rates in children, reinforcing the need to investigate and intervene in the related factors. Objective: To analyze factors associated with missed opportunities for vaccination in children under one year of age in a Brazilian capital. Methods: This was a cross-sectional, analytical study conducted in seven Basic Health Units in Teresina, Piauí, Brazil. A previously validated questionnaire was applied to parents or guardians of a sample of 316 children. Data were collected from March to June 2025. Multivariable Logistic Regression was performed, and results were expressed as Odds Ratios. Results: Among the children, 53.5% had at least one MOV. The associated factors were: parents with two or more children (95% CI: 1.06–2.96), false contraindications (95% CI: 1.29–8.73), inadequate assessment of vaccination cards by health professionals (95% CI: 1.78–29.00), vaccine shortages in health units (95% CI: 1.57–18.28), and refusal to open multidose vaccine vials (95% CI: 1.81–19.31). Receiving information about vaccination in the previous month was a protective factor against MOV (95% CI: 0.25–0.77). The vaccines most frequently contributing to MOV were BCG (15.8%) and the COVID-19 vaccine, with 15.5% for the first dose and 14.9% for the second. Conclusions: The high prevalence of MOV found in this study indicates weaknesses in the immunization process and suggests the need for implementing measures to interrupt the chain of causes leading to MOV, thereby contributing to the achievement of the objectives of the Brazilian National Immunization Program.
1. Introduction
Vaccination is among the most effective public health interventions to reduce morbidity and mortality from infectious diseases. It is a cost-effective primary prevention strategy with substantial benefits for population health, particularly among vulnerable groups such as children in their first year of life [1,2].
Low vaccination coverage during this period poses a considerable risk of morbidity and mortality from vaccine-preventable diseases such as poliomyelitis, measles, pertussis, and hepatitis B. Infants are especially susceptible, as complications from respiratory and gastrointestinal infections tend to be more severe in this age group. Active immunization provides effective protection against many of these diseases and substantially reduces early childhood mortality [3].
A key factor contributing to incomplete vaccination is the occurrence of Missed Opportunities for Vaccination (MOV), defined as situations in which eligible individuals come into contact with health services but do not receive the indicated vaccine doses [4]. Addressing MOV is essential to improving childhood vaccination coverage in both hospitals and primary health care settings [5].
Globally, the prevalence of MOV ranges widely, from 39.8% to 76%, with the highest rates reported in African countries [6,7]. In Latin America, prevalence is lower, ranging between 5% and 37% [8,9]. Multiple factors contribute to MOV, including vaccine shortages, false contraindications, common illnesses in early childhood, institutional shortcomings, and socioeconomic barriers [10]. For example, a review in Latin America highlighted obstacles such as insufficient infrastructure, human resource limitations, and socioeconomic constraints as major challenges [11]. Similarly, a study in Ondo State, Nigeria, found that one in three children experienced MOV during a health care visit [12].
Despite research advances, important gaps remain in strategies to reduce MOV among children under one year of age. In particular, the integration of MOV-prevention measures into vaccination communication programs remains underexplored [13]. Furthermore, recent national studies assessing MOV prevalence are lacking, underscoring the need for new evidence. Identifying the factors associated with MOV is crucial to restoring adequate vaccination coverage and achieving high immunization rates.
This study is warranted given its potential contribution to strengthening vaccination strategies and promoting interventions. It seeks to ensure that children under one year of age have access to all vaccines recommended in the national immunization schedule. It also encourages the development of targeted measures, such as training health professionals to recognize and address MOV and implementing practices that facilitate caregivers’ access to immunization whenever children engage with health services. From this perspective, the present study aimed to analyze factors associated with missed opportunities for vaccination in children under one year of age in a Brazilian capital.
2. Materials and Methods
2.1. Study Design and Setting
This cross-sectional, analytical study was conducted in line with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. The research was carried out in seven randomly selected Basic Health Units (BHUs) located in the northern region of Teresina, capital of the state of Piauí, Brazil. BHUs constitute the main entry point to the Brazilian Unified Health System (Sistema Único de Saúde, SUS), the country’s public health system. They are primary health care centers that play a pivotal role in community health by providing a broad range of promotion, prevention, and treatment services, including medical and nursing consultations, vaccination, dental care, medication dispensing, and laboratory specimen collection. BHUs also deliver prenatal care, monitor chronic conditions such as diabetes and hypertension, perform wound care, and carry out health education activities—including home visits—conducted by the multidisciplinary teams responsible for the population assigned to each unit.
2.2. Sample
The study population comprised children in their first year of life residing in Teresina. According to the Brazilian Institute of Geography and Statistics [14], this group totaled 10,872 children, of whom 4062 lived in the northern region of the city. As children could not respond to the survey themselves, parents or legal guardians were interviewed.
The sample size was based on a previous study conducted in Teresina [15], which reported a 29% prevalence of MOV among children under two years of age. Assuming this prevalence, with a 5% margin of error and a 95% confidence level, the required sample size was calculated as 316 parents or guardians. Participants were recruited through convenience sampling from children attending the selected health units for any reason.
Children whose vaccination cards were available at the time of data collection were included. Those whose parents or guardians were unable to answer the questionnaire were excluded.
2.3. Study Variables
To assess the adequacy of children’s vaccination status, the 2025 immunization schedule of the Brazilian National Immunization Program (NIP) was used as the reference, covering the period from birth to 12 months of age. At birth, children are scheduled to receive the Bacillus Calmette–Guérin (BCG) vaccine against tuberculosis and the hepatitis B vaccine. At 2 and 4 months, they are scheduled to receive the pentavalent vaccine (diphtheria, tetanus, pertussis, Haemophilus influenzae type b, and hepatitis B), the Inactivated Poliovirus Vaccine (IPV), the 10-valent Pneumococcal Conjugate Vaccine (PCV10), and the rotavirus vaccine. At 3 and 5 months, the Meningococcal C vaccine (MenC) is scheduled. At 6 months, children are scheduled to receive the pentavalent vaccine, IPV, and the pediatric Coronavirus Disease 2019 (COVID-19) vaccine, followed by an additional pediatric COVID-19 dose at 7 months. At 9 months, they are scheduled to receive both the pediatric COVID-19 vaccine and the yellow fever vaccine. Finally, at 12 months, the Measles-Mumps-Rubella (MMR) vaccine is scheduled.
2.4. Data Collection and Research Instrument
Data collection took place between March and June 2025, after parents or guardians provided written informed consent.
An adapted version of the “health facility exit interview” instrument developed by the World Health Organization (WHO) [5] for MOV surveys was applied. Because the original WHO instrument was designed in 2018 and new vaccines were later incorporated into the childhood immunization schedule, a content validation process was undertaken. Five expert judges evaluated the instrument for relevance, pertinence, appearance, and comprehensibility. The Content Validity Index (CVI) was calculated, and all items achieved a CVI of 100%. The final instrument contained 50 questions grouped into five dimensions. To ensure the content validity of the instrument, a panel of five expert judges was invited. The selection of judges was based on an analysis of their curricula on the Lattes Platform, prioritizing professionals with relevant experience and scientific production in the study’s thematic area. Accordingly, the expert committee comprised three PhDs and two MScs with experience in vaccination, research, and the validation and adaptation of instruments [16].
The experts were asked to evaluate each item of the instrument according to four criteria: clarity, pertinence, relevance, and representativeness. Agreement among judges was assessed using the Content Validity Index (CVI), calculated as the proportion of experts assigning scores of 3 or 4 to each item. Additionally, all comments and suggestions provided by the judges were analyzed and incorporated into the final version of the instrument, improving its quality and suitability for the target population. A CVI of 100% was achieved. The final instrument, therefore, consisted of 50 questions, grouped into five dimensions.
Although a semantic evaluation was not conducted with the target population, a pilot test was carried out with 32 parents or guardians of children residing in the study area to assess the instrument’s clarity and identify potential difficulties. These participants were not included in the main analysis.
In addition to administering the instrument to parents or guardians, the children’s vaccination cards were also examined. Photographic records were made of the section containing vaccination annotations and schedules, identified by the corresponding instrument code, thereby ensuring the confidentiality of the child’s identity.
2.5. Data Analysis
Data were analyzed using RStudio (R version 3.6.0). Descriptive statistics included absolute and relative frequencies, measures of central tendency and dispersion, and calculation of MOV prevalence. The prevalence of MOV was calculated as the ratio between the number of children eligible for vaccination who attended the BHU but were not vaccinated (N) and the total number of children within the target age group who attended the health unit during the study period (T), multiplied by 100, that is: MOV = (N/T) × 100.
To assess the combined effect of predictors on the outcome (MOV), multiple logistic regression (MLR) was employed, with results expressed as odds ratios (OR) and their respective 95% confidence intervals (CI) [17]. Variable selection followed a hybrid approach (both exploratory and theoretical): variables with p < 0.20 in the bivariate analysis were considered candidates for the multiple model, in order to avoid the premature exclusion of potentially relevant predictors [18,19]. Candidate variables were then simultaneously entered into the model using the Enter (forced entry) method—a recommended procedure when the main objective is explanatory (estimating adjusted effects of predictors) rather than predictive [20]. The significance level adopted for the final model was 5% (α = 0.05).
Overall model adequacy was verified using the Hosmer–Lemeshow goodness-of-fit test (indicating good fit when p > 0.05) and complemented by performance indicators: Nagelkerke’s pseudo-R2 = 0.2235 and area under the ROC curve (AUC) = 0.78, demonstrating satisfactory fit and adequate discriminative capacity. Multicollinearity was examined using the Variance Inflation Factor (VIF), adopting a cutoff of VIF > 4 [21]; no variable exceeded this threshold, indicating the absence of problematic correlations among predictors and stability of the estimates.
2.6. Ethical Considerations
The study was approved by the Research Ethics Committee of the Federal University of Piauí (protocol number 7.444.719).
3. Results
The sample consisted predominantly of children aged 0–6 months (78.5%), with a slight male predominance (52.5%). Most parents or legal guardians were female (87.3%), the child’s mother (84.5%), of mixed race (66.5%), residing in urban areas (91.1%), aged 16–29 years (51.9%), married or in a stable union (71.2%), with a high school education (49.1%), and reporting a household income above one minimum wage (58.5%). In half of the cases, the decision to vaccinate was made by the mother, followed by family consensus (48.4%). Almost all respondents (99.7%) reported no religious beliefs interfering with vaccination (Table 1).
Table 1.
Characterization of the studied sociodemographic variables. Teresina, Piauí, Brazil, 2025. (n = 316).
As shown in Table 2, 53.5% of children experienced at least one MOV, and 52.8% had an incomplete vaccination schedule for their age.
Table 2.
Prevalence of missed opportunities for vaccination and vaccination status per child. Teresina, Piauí, Brazil–2025 (n = 316).
Table 3 shows MOV prevalence by vaccine type and dose. The highest proportions were observed for BCG (single dose, 15.8%), followed by COVID-19 D1 (15.5%) and D2 (14.9%). Among multidose vaccines, MenC D1 accounted for 10.1%, followed by IPV D2 (9.2%). The lowest prevalence of MOV was observed for yellow fever (single dose, 3.8%).
Table 3.
Prevalence of missed opportunities for vaccination according to vaccine type and dose. Teresina, Piauí, Brazil–2025 (n = 169).
Among the reasons for MOV related to health professionals were the lack of guidance about vaccination (24.3%), contraindication due to mild illness in the child (25.4%), incorrect statement that vaccination was not scheduled despite being due (13.6%), refusal to vaccinate because the vial could not be opened (17.2%), and contraindication due to a reaction to the previous dose (1.8%). Factors related to parents or guardians included hesitancy following an adverse reaction to a previous dose (6.5%) and the voluntary decision not to vaccinate the child (33.7%). Regarding health service–related factors, vaccine shortages predominated, accounting for 65.1% of the reported reasons (Table 4).
Table 4.
Distribution of missed opportunities for vaccination according to reasons related to health professionals, parents, and vaccination services. Teresina, Piauí, Brazil–2025 (n = 169).
Of the nine variables statistically associated with MOV in the bivariate analysis, six remained significant in the multivariate model. Having two or more children increased the likelihood of MOV by 68% (95% CI: 1.06–2.96). Exposure to vaccination information in the previous month reduced the odds of MOV by 56% (95% CI: 0.25–0.77). Among health professional–related factors, contraindicating vaccination in the presence of mild illness, incorrectly stating that the date was not scheduled for vaccination, and refusing to open a multidose vial were associated with 3.35-, 7.18-, and 5.92-fold higher odds of MOV, respectively (95% CI: 1.29–8.73; 1.78–29.00; 1.81–19.31). In addition, vaccine shortages increased the odds of MOV by 5.36 (95% CI: 1.57–18.28) (Table 5).
Table 5.
Multiple logistic regression of factors associated with missed opportunities for vaccination. Teresina, Piauí, Brazil–2025 (n = 169).
4. Discussion
This study revealed a high prevalence of MOV and incomplete vaccination among the children assessed. The main factors associated with higher MOV rates were false contraindications, inadequate review of vaccination cards by health professionals, vaccine shortages, and refusal to open multidose vials. Conversely, receiving information or reminders about vaccination in the previous month was protective, reducing the likelihood of MOV.
The predominance of children aged 0–6 months underscores the importance of early interventions. This stage is marked by heightened parental vigilance, increased vulnerability of infants, and a concentration of vaccine doses within the immunization schedule. Nevertheless, the risk of missed opportunities remains, even with frequent health service visits. Regarding sex distribution, there was a slight male predominance, although in other contexts, female children may predominate.
Childhood vaccination was found to be primarily the responsibility of mothers, reinforcing the central role of women in monitoring children’s health and ensuring adherence to immunization. This highlights the critical role of maternal autonomy in achieving full vaccination coverage. By contrast, male-headed households tend to show more missed opportunities, either due to limited male participation in health care or constraints on women’s decision-making power [22,23,24].
A predominance of urban residents was also observed, with a balanced age distribution between younger and older guardians. This profile is generally associated with higher vaccination coverage, as urban areas typically offer a greater concentration of health services, better geographic access, and more frequent campaigns. In contrast, rural contexts are marked by longer distances, workforce shortages, and socioeconomic inequalities that hinder adherence [24,25]. Evidence also suggests that younger mothers are more likely to follow the vaccination schedule, while older mothers—often managing multiple responsibilities—may demonstrate lower adherence [24].
Another relevant aspect was the predominance of mothers married or in stable unions as primary caregivers, along with a higher proportion of single-child families. These characteristics are usually linked to greater family stability, spousal support, and closer monitoring of child health, which may reduce vaccination delays. In line with this, previous studies indicate that firstborn children are more likely to achieve full vaccination coverage, whereas children from larger families face greater challenges in maintaining complete schedules [22,25].
The associations with education and income reinforce the influence of socioeconomic factors on immunization. Parents with higher education are more likely to understand vaccination schedules and value prevention. Conversely, families in vulnerable situations often encounter financial and logistical barriers that increase the risk of MOV [23,26]. Although not statistically significant in this study, proximity to health facilities and access to transportation generally facilitate adherence, whereas long travel times and poor infrastructure are linked to incomplete vaccination [25].
The fact that 53.5% of children experienced at least one MOV strongly indicates weaknesses in vaccination coverage in this setting. This prevalence is notably higher than that reported in studies from Somalia and sub-Saharan Africa, where 26% and 34% of children, respectively, experienced MOV [23,27].
In Brazil, reported MOV prevalence ranges from 16.4% to 50% [10,26]. The findings of this study therefore indicate a prevalence above the national average and higher than most international reports, suggesting the presence of specific local factors negatively affecting vaccination coverage.
More than half of the children also had incomplete vaccination schedules. This is a cause for concern, as it highlights a major gap in coverage within the study population. A similar prevalence was observed in a study conducted in central Brazil, where 52.8% of children living in quilombola communities and rural settlements had incomplete vaccination schedules [28].
Over half of the children in this study experienced MOV. Of the 487 doses not administered or delayed, BCG accounted for the largest proportion, followed by the COVID-19 vaccine. Regarding BCG, parents reported that many facilities restricted administration to a single day per week, ostensibly to optimize vaccine use.
The high prevalence of MOV related to BCG is concerning, given its crucial role in protecting against severe forms of tuberculosis when administered early in life. In the Gozamen district of Ethiopia, BCG accounted for 17.3% of MOV, second only to the zero dose of oral poliovirus vaccine [27]. In Dschang, Cameroon, BCG MOV was also high (16.47%), surpassing that of other vaccines [28]. These findings highlight persistent operational challenges in BCG delivery, despite its prioritization at birth alongside hepatitis B.
The WHO recommends administering BCG as early as possible, ideally still in the maternity ward. However, this has not been consistently achieved. For example, a study in Londrina, Paraná, Brazil, found that many doses were not administered due to a lack of staff trained in the injection technique [28]. Internationally, in Guinea-Bissau, only 19% of newborns received BCG within the first three days of life, though coverage reached 93% by 12 months. This illustrates how bureaucratic and logistical delays hinder timely vaccine delivery [29,30].
COVID-19 vaccine hesitancy remains a major barrier [31]. Studies indicate that part of the population fears adverse events and mistrusts vaccine production, manufacturers, and safety, often linked to reliance on unqualified or unreliable information sources [30,32,33,34]. Nevertheless, pediatric COVID-19 vaccination—starting at six months of age—has demonstrated safety, robust immunogenicity, and moderate efficacy against variants such as Omicron, with protection estimates ranging from 50% to 73% [35,36]. Improving coverage, therefore, requires evidence-based practices by health professionals and managers to reduce barriers, strengthen public confidence, and protect children under one year of age, who face elevated risk of COVID-19–related mortality [37,38,39].
This study also demonstrated the impact of household size on vaccination outcomes. Families with more children faced a greater risk of MOV, consistent with a population-based study in Rondonópolis, Brazil, where additional siblings tripled the likelihood of incomplete vaccination (OR = 3.18; 95% CI: 1.75–5.76) [39]. A study across four northeastern Brazilian cities similarly found that children with siblings had a higher probability of incomplete vaccination (OR = 1.20; 95% CI: 1.11–1.32) [40]. These results underscore the logistical challenges faced by larger households and highlight the need for active case-finding strategies and integration with community health workers.
Basic knowledge of the vaccination card (e.g., using it to record dates) and recent exposure to vaccine-related information were protective against MOV. These findings align with the Vaccination Coverage Survey in Campinas, Brazil, which identified lack of guidance and deliberate refusal to vaccinate as key barriers to full immunization, especially when caregivers lacked consistent, qualified sources of advice [26].
Another critical factor is the inappropriate contraindication of vaccines by health professionals in the presence of mild conditions (e.g., common cold, low-grade fever, constipation, cough, diarrhea, malnutrition, anemia, dehydration) and the inadequate review of vaccination cards. A study in Quito, Ecuador, showed that 98.2% of 273 health professionals interviewed had inappropriately denied vaccination at least once, revealing widespread misinterpretation of true contraindications [41]. Evidence also shows that MOV rates in Latin America range from 5% to 37%, largely influenced by such misinterpretations [8,9,42].
The refusal to open multidose vials was another major contributor to MOV. Administratively, this practice reflects structural challenges. Some multidose vaccines can only be used for a few hours after reconstitution, even under proper storage, discouraging health professionals from opening them without scheduled demand. This is particularly common with lyophilized vaccines such as MMR and BCG [43,44].
In Brazil, fear of vaccine wastage has frequently led to refusals to open multidose vials, undermining the performance of the National Immunization Program (NIP) and limiting childhood vaccination. Addressing this requires integrated actions, including continuous training of health professionals, accurate identification of true contraindications, and encouragement to administer all indicated vaccines even at the risk of vial wastage.
Finally, vaccine shortages in health facilities strongly contributed to increased MOV. Disruptions in supply compromise vaccination coverage and heighten the risk of reintroducing previously controlled or eliminated diseases. Factors underlying these shortages include poor planning of vaccine needs by staff, insufficient training, limited managerial engagement, and the progressive underfunding of the SUS, all of which undermine the effectiveness of the NIP [45].
Notably, unlike some studies [44,45], MOV in this study was not associated with parental hesitancy but with professional and managerial shortcomings, particularly in vaccination room practices and systemic weaknesses across multiple levels of service delivery.
Study Limitations
This study’s main limitation is that the sample was not randomly selected, which restricts the generalization of the findings to children attending the selected health units. However, this approach is consistent with methodologies commonly used to analyze MOV, given its definition. In addition, children were recruited while attending BHUs for various procedures—most often after medical consultations—rather than specifically from vaccination rooms. Despite these limitations, the findings remain relevant and provide valuable insights into the underlying reasons for missed opportunities for vaccination.
5. Conclusions
The high prevalence of MOV identified in this study reveals significant weaknesses in the immunization process. The high rate of MOV underscores the urgent need for measures to optimize vaccination services and highlights specific barriers present in the study context. The vaccination status of the children assessed also showed important gaps, with a substantial proportion having incomplete schedules, underscoring the need to strengthen routine immunization and improve access to services.
The main contributors to MOV were false contraindications, inadequate review of vaccination cards by health professionals, and structural and organizational barriers within health services. Addressing these issues requires coordinated action across municipal, state, and national levels to ensure integrated, continuous, and effective strategies that expand both access to and adherence to vaccination. Although this study focused on children attending health units, the findings suggest that tackling this problem demands alignment among municipal, state, and national management levels to guarantee comprehensive, sustained, and effective vaccination strategies.
These results underscore the urgency of targeted interventions to restore vaccination coverage, prevent the resurgence of vaccine-preventable diseases, and mitigate long-term public health consequences. Essential measures include ensuring a consistent vaccine supply, strengthening distribution logistics, continuously monitoring stocks, and training health professionals. Moreover, expanding access through strategies such as extended service hours and weekend vaccination could play a decisive role in achieving the objectives and targets set by the NIP.
Author Contributions
Conceptualization, W.S.M.N. and T.M.E.d.A.; methodology, W.S.M.N. and T.M.E.d.A.; software, P.d.T.M.B.; validation, W.S.M.N. and T.M.E.d.A.; formal analysis, W.S.M.N., J.G.d.O.N., E.B.d.M.J., A.R.d.A.R. and B.M.P.; investigation, W.S.M.N., E.B.d.M.J. and T.M.E.d.A.; resources, W.S.M.N. and E.B.d.M.J.; data curation, P.d.T.M.B.; writing—original draft preparation, W.S.M.N., J.G.d.O.N., E.B.d.M.J., A.R.d.S.N., A.R.d.A.R. and B.M.P.; writing—review and editing, T.M.E.d.A.; visualization, P.d.T.M.B. and A.R.d.S.N.; supervision, T.M.E.d.A. and E.B.d.M.J.; project administration, T.M.E.d.A. and W.S.M.N.; funding acquisition, W.S.M.N. and T.M.E.d.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research was carried out with support from the Coordination for the Improvement of Higher Education Personnel–Brazil (CAPES)–Funding Code 001.
Institutional Review Board Statement
The study was approved by the Research Ethics Committee of the Federal University of Piauí (protocol number 7.444.719; approval date: 17 March 2025).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patients to publish this paper.
Data Availability Statement
The data presented in this study are available on request from the corresponding author due to ethical reasons and privacy data.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Sousa Neto, A.R.; Carvalho, A.R.B.; Ferreira da SilDva, M.D.; Rêgo Neta, M.M.; Sena, I.V.O.; Almeida, R.N.; Filha, F.S.S.C.; Lima e Silva, L.L.; Costa, G.R.; Lira, I.M.S.; et al. Bibliometric Analysis of Global Scientific Production on COVID-19 and Vaccines. Int. J. Environ. Res. Public Health 2023, 20, 4796. [Google Scholar] [CrossRef]
- Pércio, J.; Fernandes, E.G.; Maciel, E.L.; Lima, N.V.T. 50 Years of the Brazilian National Immunization Program and the Immunization Agenda 2030. Epidemiol. Serv. Saude 2023, 32, e20231009. [Google Scholar] [CrossRef]
- Ministério da Saúde; Secretaria de Vigilância em Saúde; Departamento de Articulação Estratégica de Vigilância em Saúde. Guia de Vigilância em Saúde, 5th ed.; Governo Federal: Brasília, Brazil, 2022. Available online: https://bvsms.saude.gov.br/bvs/publicacoes/guia_vigilancia_saude_5ed_rev.pdf (accessed on 18 August 2025).
- World Health Organization. Reducing Missed Opportunities for Vaccination (MOV). 2024. Available online: https://www.who.int/teams/immunization-vaccines-and-biologicals/essential-programme-on-immunization/implementation/reducing-missed-opportunities-for-vaccination (accessed on 4 September 2025).
- World Health Organization. Metodologia para a Avaliação de Oportunidades Perdidas de Vacinação (OPVs). 2018. Available online: https://iris.who.int/bitstream/handle/10665/259201/9789248512957-por.pdf (accessed on 4 September 2025).
- Abatemam, H.; Wordofa, M.A.; Worku, B.T. Missed opportunity for routine vaccination and associated factors among children aged 0–23 months in public health facilities of Jimma Town. PLOS Glob. Public Health 2023, 3, e0001819. [Google Scholar] [CrossRef] [PubMed]
- Magadzire, B.P.; Joao, G.; Bechtel, R.; Matsinhe, G.; Lochlainn, L.N.; Ogbuanu, I.U. Reducing Missed Opportunities for Vaccination in Mozambique: Findings from a Cross-Sectional Assessment Conducted in 2017. BMJ Open 2021, 11, e047297. [Google Scholar] [CrossRef]
- Borras-Bermejo, B.; Panunzi, I.; Bachy, C.; Gil-Cuesta, J. Missed Opportunities for Vaccination (MOV) in Children up to 5 Years Old in 19 Médecins Sans Frontières-Supported Health Facilities: A Cross-Sectional Survey in Six Low-Resource Countries. BMJ Open 2022, 12, e059900. [Google Scholar] [CrossRef]
- Tampi, M.; Carrasco-Labra, A.; O’Brien, K.K.; Velandia-González, M.; Brignardello-Petersen, R. Systematic Review on Reducing Missed Opportunities for Vaccinations in Latin America. Rev. Panam. Salud Publica 2022, 46, e65. [Google Scholar] [CrossRef] [PubMed]
- Barros, M.G.M.; Santos, M.C.S.; Bertolini, R.P.T.; Netto, V.B.P.; Andrade, M.S. Missed Vaccination Opportunities: Primary Care Performance Aspects in Recife, Pernambuco, Brazil, 2012. Epidemiol. Serv. Saude 2015, 24, 701–710. [Google Scholar] [CrossRef]
- Roberti, J.; Ini, N.; Belizan, M.; Alonso, J.P. Barriers and facilitators to vaccination in Latin America: A thematic synthesis of qualitative studies. Cad. Saúde Pública 2024, 40, e00165023. [Google Scholar] [CrossRef]
- Fatiregun, A.A.; Lochlainn, L.N.; Kaboré, L.; Dosumu, M.; Isere, E.; Olaoye, I.; Akanbiemu, F.A.; Olagbuji, Y.; Onyibe, R.; Boateng, K.; et al. Missed Opportunities for Vaccination among Children Aged 0–23 Months Visiting Health Facilities in a Southwest State of Nigeria, December 2019. PLoS ONE 2021, 16, e0252798. [Google Scholar] [CrossRef]
- Dhaliwal, B.K.; Mathew, J.L.; Obiagwu, P.N.; Hill, R.; Wonodi, C.B.; Best, T.; Shet, A. Addressing Missed Opportunities for Vaccination Among Children in Hospitals: Leveraging the P-Process for Health Communication Strategies. Vaccines 2024, 12, 884. [Google Scholar] [CrossRef]
- Instituto Brasileiro de Geografia e Estatística. Cidades e municípios. Censo 2022. Teresina-PI. Available online: https://cidades.ibge.gov.br/brasil/pi/teresina/panorama (accessed on 1 September 2025).
- Araújo, T.M.E. Vacinação Infantil: Conhecimentos, Atitudes e Práticas da População da área Norte/Centro de Teresina/PI. Ph.D. Thesis, Escola de Enfermagem Anna Nery/Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil, 2005; 132p. [Google Scholar]
- Coluci, M.Z.O.; Alexandre, N.M.C.; Milani, D. Construção de instrumentos de medida na área da saúde. Ciênc Saúde Coletiva 2015, 20, 925–936. [Google Scholar] [CrossRef] [PubMed]
- Hosmer, D., Jr.; Lemeshow, S.; Sturdvanty, R. Applied Logistic Regression; John Wiley & Sons: New York, NY, USA, 2013; Volume 398. [Google Scholar]
- Bursac, Z.; Gauss, C.H.; Williams, D.K.; Hosmer, D.W. Purposeful selection of variables in logistic regression. Source Code Biol. Med. 2008, 3, 17. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Z. Model building strategy for logistic regression: Purposeful selection. Ann. Transl. Med. 2016, 4, 111. [Google Scholar] [CrossRef] [PubMed]
- Field, A.; Miles, J.; Field, Z. Discovering Statistics Using R; Sage Publications Ltd.: London, UK, 2012. [Google Scholar]
- Jejaw, M.; Tafere, T.Z.; Tiruneh, M.G.; Hagos, A.; Teshale, G.; Tilahun, M.M.; Negash, W.D.; Demissie, K.A. Three in Four Children Age 12–23 Months Missed Opportunities for Vaccination in Sub-Saharan African Countries: A Multilevel Mixed Effect Analysis of Demographic Health and Surveys 2016–2023. BMC Public Health 2025, 25, 62. [Google Scholar] [CrossRef]
- Uthman, O.A.; Sambala, E.Z.; Adamu, A.A.; Ndwandwe, D.; Wiyeh, A.B.; Olukade, T.; Bishwajit, G.; Yaya, S.; Okwo-Bele, J.M.; Wiysonge, C.S. Does It Really Matter Where You Live? A Multilevel Analysis of Factors Associated with Missed Opportunities for Vaccination in Sub-Saharan Africa. Hum. Vaccines Immunother. 2018, 14, 2397–2404. [Google Scholar] [CrossRef]
- Faria, L.B.; França, A.P.; Moraes, J.C.; Donalisio, M.R. Vaccination Barriers in Brazil: Exploring Hesitancy, Access, and Missed Opportunities in a Cohort of Children (2017–2018)—National Vaccination Coverage Survey Results (2020–2021). Vaccines 2025, 13, 516. [Google Scholar] [CrossRef]
- Tamuzi, J.L.; Katoto, P.D.M.C.; Ndwandwe, D.E.; Wiysonge, C.S.; Nyasulu, P.S. Prevalence of Missed Opportunities for Vaccination (MOV) Indicators among Children Aged 12–23 Months in Sub-Saharan African Countries: An Individual-Level Meta-Analysis of DHS and MICS National Household Data Surveys. Hum. Vaccin. Immunother. 2025, 21, 2510714. [Google Scholar] [CrossRef]
- Roque e Lima, J.O.; Pagotto, V.; Rocha, B.S.; Scalize, P.S.; Guimarães, R.A.; de Lima, M.D.; da Silva, L.N.; da Silva Oliveira, M.D.; Moura, W.É.A.; Teles, S.A.; et al. Low Vaccine Coverage and Factors Associated with Incomplete Childhood Immunization in Racial/Ethnic Minorities and Rural Groups, Central Brazil. Vaccines 2023, 11, 838. [Google Scholar] [CrossRef]
- Muluneh, F.; Wubetu, M.; Abate, A. Missed Opportunity for Routine Immunization and Its Associated Factors in Gozamen District Health Centers, Northwestern Ethiopia. Glob. Pediatr. Health 2020, 7, 2333794X20981306. [Google Scholar] [CrossRef]
- Zeufack, A.G.D.; Njinkui, D.N.; Youdom, S.W.; Ateudjieu, J. Timeliness and Missed Opportunities for Vaccination Among Children Aged 0 to 23 Months in Dschang Health District, West Region, Cameroon: A Cross-Sectional Survey. PLOS Glob Public Health 2023, 3, e0001721. [Google Scholar]
- Brites, H.D.; França, A.P.; Moraes, J.C.; Silva, A.I.; Ramos, A.N., Jr.; França, A.P.; Oliveira, A.N.M.; Boing, A.F.; Domingues, C.M.A.S.; Oliveira, C.S.; et al. Vaccination Opportunity in Children up to 6 Months Old Born in 2017 and 2018 in the City of Londrina-PR, Brazil: A Population-Based Survey. Epidemiol. Serv. Saude 2024, 33, e2024432. [Google Scholar] [CrossRef]
- Rasmussen, C.E.H.; Vedel, J.O.; Jensen, A.M.; Borges, I.D.S.; Furtado, O.; Meyrowitsch, D.W.; Fisker, A.B. Implementation of the Vaccination Program in Guinea-Bissau: Coverage and Missed Opportunities for BCG at Birth. Vaccine 2024, 42, 126056. [Google Scholar] [CrossRef]
- Anderson, E.J.; Creech, C.B.; Berthaud, V.; Piramzadian, A.; Johnson, K.A.; Zervos, M.; Garner, F.; Griffin, C.; Palanpurwala, K.; Turner, M.; et al. Evaluation of mRNA-1273 Vaccine in Children 6 Months to 5 Years of Age. N. Engl. J. Med. 2022, 387, 1673–1687. [Google Scholar] [CrossRef]
- Estevez, C.S.; Gonçalves, K.C.B.; Lima, A.P.C.; Zanoni, B.B.; Medeiros, V.P.S.; Athayde, P.S.; Carvalho, A.T.; Costa, M.L.F.; Filho, O.A.M.; Freire, P.S.; et al. Projeto Curumim e hesitação vacinal com vacinas contra COVID-19 em uma coorte de crianças e adolescentes. Braz. J. Infect. Dis. 2023, 27, 102944. [Google Scholar] [CrossRef]
- Salvador, P.T.C.O.; Alves, K.Y.A.; Carvalho, K.R.S.; Nehab, M.F.; Camacho, K.G.; Reis, A.T.; Junqueira-Marinho, M.F.; Abramov, D.M.; Azevedo, Z.M.A.; Salú, M.S.; et al. Inquérito online sobre os motivos para hesitação vacinal contra a COVID-19 em crianças e adolescentes do Brasil. Cad. Saúde Pública 2023, 39, e00159122. [Google Scholar] [CrossRef]
- Muñoz, F.M.; Sher, L.D.; Sabharwal, C.; Gurtman, A.; Xu, X.; Kitchin, N.; Lockhart, S.; Riesenberg, R.; Sexter, J.M.; Czajka, H.; et al. Evaluation of BNT162b2 Covid-19 Vaccine in Children Younger than 5 Years of Age. N. Engl. J. Med. 2023, 388, 621–634. [Google Scholar] [CrossRef] [PubMed]
- Murthy, B.P.; Fast, H.E.; Zell, E.; Murthy, N.; Meng, L.; Shaw, L.; Vogt, T.; Chatham-Stephens, K.; Santibanez, T.A.; Gibbs-Scharf, L.; et al. COVID-19 Vaccination Coverage and Demographic Characteristics of Infants and Children Aged 6 Months-4 Years—United States, June 20–December 31, 2022. Morb. Mortal. Wkly. Rep. 2023, 72, 183–189. [Google Scholar] [CrossRef]
- Melo, M.M.; Neta, M.M.R.; Neto, A.R.S.; Carvalho, A.R.B.; Magalhães, R.L.B.; Valle, A.R.M.C.; Ferreira, J.H.L.; Aliaga, K.M.J.; Moura, M.E.B.; Freitas, D.R.J. Symptoms of COVID-19 in Children. Braz. J. Med. Biol. Res. 2022, 55, e12038. [Google Scholar] [CrossRef]
- de Sousa, Á.F.L.; Teixeira, J.R.B.; Lua, I.; de Oliveira Souza, F.; Ferreira, A.J.F.; Schneider, G.; de Carvalho, H.E.F.; de Oliveira, L.B.; Lima, S.V.M.A.; de Sousa, A.R.; et al. Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach. Vaccines 2021, 9, 1167. [Google Scholar] [CrossRef] [PubMed]
- Lemos, P.L.; Oliveira Júnior, G.J.; Souza, N.F.C.; Silva, I.M.; Paula, I.P.G.; Silva, K.C.; Costa, F.C.; Arruda, P.D.S.; Oliveira, W.J.; Kaiabi, P.T.; et al. Factors Associated with the Incomplete Opportune Vaccination Schedule up to 12 Months of Age, Rondonópolis, Mato Grosso. Rev. Paul. Pediatr. 2021, 40, e2020300. [Google Scholar] [CrossRef]
- Ferreira, A.F.; Ramos, A.N., Jr.; Maciel, A.M.S.; Barbosa, J.C.; Saavedra, R.C.; Antunes, M.B.C.; Lima, L.H.O.; Queiroz, R.C.S.; Silva, T.L.; de Carvalho Santiago, M.S.I.; et al. Vaccination coverage, vaccine hesitancy and factors associated with incomplete vaccination: A household survey conducted with children born between 2017 and 2018 in the inland municipalities of Northeastern Brazil. Epidemiol. Serv. Saude 2025, 33, e20231224. [Google Scholar] [CrossRef]
- Andrade-Guerrero, F.; Tapia, A.; Andrade, V.; Vásconez-González, J.; Andrade-Guerrero, J.; Noroña-Calvachi, C.; Izquierdo-Condoy, J.S.; Yeager, J.; Ortiz-Prado, E. False Contraindications for Vaccinations Result in Sub-Optimal Vaccination Coverage in Quito, Ecuador: A Cross-Sectional Study. Vaccines 2022, 11, 60. [Google Scholar] [CrossRef] [PubMed]
- Guzman-Holst, A.; DeAntonio, R.; Prado-Cohrs, D.; Juliao, P. Barriers to Vaccination in Latin America: A Systematic Literature Review. Vaccine 2020, 38, 470–481. [Google Scholar] [CrossRef]
- Krudwig, K.; Knittel, B.; Karim, A.; Kanagat, N.; Prosser, W.; Phiri, G.; Mwansa, F.; Steinglass, R. The Effects of Switching from 10 to 5-Dose Vials of MR Vaccine on Vaccination Coverage and Wastage: A Mixed-Method Study in Zambia. Vaccine 2020, 38, 5905–5913. [Google Scholar] [CrossRef]
- Ninsiima, M.; Muhoozi, M.; Luzze, H.; Kasasa, S. Vaccine wastage rates and attributed factors in rural and urban areas in Uganda: Case of Mukono and Kalungu districts. PLOS Glob. Public Health 2025, 5, e0003745. [Google Scholar] [CrossRef]
- Fernandez, M.; Paiva, E.; Petra, P.; Rosário, C.A.; Lemos, P.L.; Vieira, F.; Matta, G. The reasons for vaccine hesitancy in Brazil: An analysis based on the perception of health workers who worked during the COVID-19 pandemic. Saude Soc. 2024, 33, e230854en. [Google Scholar] [CrossRef]
- Macedo, T.R.O.; Borges, M.F.S.O.; Silva, I.F.; França, A.P.; Moraes, J.C.; Silva, A.I.; Ramos, A.N., Jr.; França, A.P.; Oliveira, A.N.M.; Boing, A.F.; et al. Vaccination Coverage, Barriers and Vaccine Hesitancy in Children up to 24 Months Old: A Population Survey in a State Capital in the Western Amazon. Epidemiol. Serv. Saude 2024, 33, e20231295. [Google Scholar] [CrossRef] [PubMed]
- Cagnotta, C.; Lettera, N.; Cardillo, M.; Pirozzi, D.; Catalán-Matamoros, D.; Capuano, A.; Scavone, C. Parental vaccine hesitancy: Recent evidences support the need to implement targeted communication strategies. J. Infect. Public Health 2025, 18, 102648. [Google Scholar] [CrossRef] [PubMed]
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