Efetividade da vacina antigripal na época 2010-2011 em Portugal: Resultados do projeto EUROEVA

Nunes, Baltazar; Machado, Ausenda; Pechirra, Pedro; Falcão, Isabel; Gonçalves, Paulo; Conde, Patrícia; Guiomar, Raquel; Batista, Inês; Falcão, José Marinho

doi:10.32385/rpmgf.v28i4.10955

Cited by 6 publications

(8 citation statements)

References 26 publications

(24 reference statements)

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“…Since 2012/13 season, influenza vaccination has been offered free of charge and without medical prescription to the population aged over 65 years at the National Health System primary care. Despite the variability of influenza vaccine effectiveness in different seasons and against specific virus type/sub-type [7, 8], influenza vaccination of high-risk individuals has also been reported to be a cost-effective way to decrease mortality and morbidity [6, 9–11].…”

Section: Introductionmentioning

confidence: 99%

Beliefs and attitudes towards the influenza vaccine in high-risk individuals

et al. 2017

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Societal and economic impact of influenza is mainly due to influenza infection of specific groups, who are at higher risk of health complications leading up to hospitalisation or death. In this study we applied the health belief model (HBM) to evaluate beliefs and attitudes towards influenza disease and vaccine in community-dwelling high-risk individuals (aged 65 or more or having a chronic disease). We conducted a mixed-method study using data collected through a telephone survey of a household unit sample. We used thematic analysis to map responses to HBM dimensions and Poisson regression to model vaccine non-uptake prevalence. The main self-reported reason not to take the vaccine referred to the susceptibility dimension: 'considering oneself to be a healthy person' (29·8%, (95% confidence interval (CI) 22·1-38·7)). Bad experiences after vaccination - barriers dimension - were also commonly reported (17·0%, (95% CI 10·8-23·8)). Vaccine non-uptake prevalence was 22% higher in those who did not consider themselves susceptible to contract flu (Prevalence Ratio (PR) = 1·22, (95% CI 1·0-1·5)) and 18% lower in those who did not consider that the vaccine causes flu symptoms (PR = 0·82, (95% CI 0·68-0·99)). Results suggest that high-risk individuals do not think of themselves susceptible to influenza infection and fear adverse events following immunisation.

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Section: Introductionmentioning

confidence: 99%

Beliefs and attitudes towards the influenza vaccine in high-risk individuals

et al. 2017

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“…In Portugal, observational studies in the primary care setting have been implemented using the test-negative design and using a cohort in the community setting. 1,2 Older adults, aged 65 years and over, are an important target of these studies, considering the expected effectiveness of the vaccine in not only reducing the incidence of the infection but also reducing related hospitalisations and even death. 3,4 By using the primary care setting, it was possible to estimate the vaccine protection level against medically attended laboratory-confirmed influenza.…”

Section: Introductionmentioning

confidence: 99%

Implementing an Influenza Vaccine Effectiveness Study in a Hospital Context in Portugal: The EVA Hospital Project

Machado¹,

Gómez²,

Panarra

et al. 2021

Acta Med Port

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Introduction: The project ‘Integrated Monitoring of Vaccines in Europe’ aimed to measure seasonal influenza vaccine effectiveness against hospitalised adults, aged 65 years and over, with influenza. We describe the protocol implementation in Portugal.Material and Methods: We implemented a test-negative design, targeting community-dwelling patients aged 65 years old and over hospitalised with severe acute respiratory illness. Patients were reverse transverse-polymerase chain reaction tested for influenza. Cases were those positive for influenza while others were controls. Most variables were collected using hospital medical records. Selection bias was evaluated by comparison with the laboratory influenza test requests database according to demographic characteristics. Crude, season-adjusted influenza vaccine effectiveness was estimated as = 1 – odds ratio, and 95% confidence intervals were obtained by conditional logistical regression, matched with the disease onset month.Results: The recruitment rate was 37.8%. Most participants (n = 368) were female (55.8%) and aged 80 years old and over (55.8%). This was similar to values for potentially eligible severe acute respiratory illness patients (80 years old and over: 56.8%, female: 56.2%). The proportion of missing values was below 2.5% for 20 variables and above 5% (maximum 11.6%) for six variables. Influenza vaccine effectiveness estimates were 62.1% against AH1pdm09 (95% confidence intervals: -28.1 to 88.8), 14.9% against A(H3N2) (95% confidence intervals: -69.6 to 57.3), 43.6% against B/Yam (95% confidence intervals: -66.2 to 80.8).Discussion: Given the non-existence of a coded admission database in either participating hospital the selection of severe acute respiratory illness due to clinical features was the feasible one. These results are only valid for the older adult population residing in the catchment area of the two participating hospitals who were admitted to a public hospital with severe influenza or SARI symptoms.Conclusion: Despite the low participation rate, we observed comparable characteristics of participants and eligible severe acute respiratory illness patients. Data quality was high, and influenza vaccine effectiveness results were in accordance with the results of meta-analyses and European season-specific estimates. The final sample size was low, which inhibited obtaining estimates with good precision.

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“…The reference groups used in I-MOVE studies vary by study site and include the vaccination coverage in the practitioners´ catchment area (e.g. Spain, Scotland, England), the vaccination coverage in a random sample of the population (Portugal [25]) or in the general population (Italy [31]). The Farrington method [38] is used to adjust IVE for age group (Spain, Italy, Portugal, Scotland), risk group (Portugal, Scotland), GP practice (Scotland) and socio-economic status (Scotland).…”

Section: Screening Methods Studiesmentioning

confidence: 99%

“…EpiConcept, in close collaboration with ECDC, coordinates the publication of the multicentre casecontrol pooled results. Since 2008, I-MOVE IVE results have been published in peer-reviewed journals [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32].…”

Section: I-move Organisational Aspectsmentioning

confidence: 99%

“…Case-control studies, including multicentre case-control study Nine EU sites have contributed to the multicentre case-control study ( Table 1). The methods used for the individual and multicentre case-control studies have been described elsewhere [21,22,25,[27][28][29][30]32]. In summary, each season the study site coordinators invite sentinel primary care practitioners belonging to the national sentinel surveillance systems to participate in the study.…”

Section: I-move Implementation Phase (2008/9 To 2011/12)mentioning

confidence: 99%

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