Comparison of self-report influenza vaccination coverage with data from a population based computerized vaccination registry and factors associated with discordance

Jiménez‐García, Rodrigo; Hernández‐Barrera, Valentín; Rodríguez-Rieiro, Cristina; Garrido, Pilar Carrasco; Andrés, Ana López de; Jiménez‐Trujillo, Isabel; Esteban-Vasallo, María D.; Domínguez‐Berjón, M. Felícitas; Miguel‐Díez, Javier de; Astray‐Mochales, Jenaro

doi:10.1016/j.vaccine.2014.06.074

Cited by 44 publications

(21 citation statements)

References 23 publications

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“…First, vaccine uptake was self-reported and not verified by vaccination booklets or medical records. Jimenez-Garcia et al recently compared self-report influenza vaccine uptake with data from vaccination registries: self-report data overestimate vaccine coverage because of recall and social desirability biases [48]. Moreover, our study population was involved in patients' associations, and therefore possibly more concerned about vaccinations, which may increase the overestimation of vaccine uptake.…”

Section: Discussionmentioning

confidence: 94%

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Attitude, knowledge and factors associated with influenza and pneumococcal vaccine uptake in a large cohort of patients with secondary immune deficiency

Loubet

Kernéis²,

Groh

et al. 2015

Vaccine

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Section: Discussionmentioning

confidence: 94%

“…The reported rate of vaccination against pneumococcus was 49% (95%CI [47][48][49][50]); 51% (95%CI [49-53]) in the AI group, 36% (95%CI [30][31][32][33][34][35][36][37][38][39][40][41][42][43]) in the Tx group and 39% (95%CI [33][34][35][36][37][38][39][40][41][42][43][44]) in the MBD group (Table 3).…”

Section: Pneumococcal Vaccinementioning

confidence: 99%

Attitude, knowledge and factors associated with influenza and pneumococcal vaccine uptake in a large cohort of patients with secondary immune deficiency

Loubet

Kernéis²,

Groh

et al. 2015

Vaccine

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“…Even though the impact of inaccurate assessment of vaccination status is less understood, the potential effect of inaccurate characterization of vaccination status on VE estimates is concerning, although not specific for inpatient TND studies. It has been shown that vaccination self-reports may be unreliable, often leading to underreporting of influenza vaccination, 35–37 but occasionally to over-reporting. 38 On the other hand, neither medical records nor vaccine registries are likely perfect sources for vaccination status.…”

Section: Discussionmentioning

confidence: 99%

The case test-negative design for studies of the effectiveness of influenza vaccine in inpatient settings

et al. 2016

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BackgroundThe test-negative design (TND) to evaluate influenza vaccine effectiveness is based on patients seeking care for acute respiratory infection, with those who test positive for influenza as cases and the test-negatives serving as controls. This design has not been validated for the inpatient setting where selection bias might be different from an outpatient setting.MethodsWe derived mathematical expressions for vaccine effectiveness (VE) against laboratory-confirmed influenza hospitalizations and used numerical simulations to verify theoretical results exploring expected biases under various scenarios. We explored meaningful interpretations of VE estimates from inpatient TND studies.ResultsVE estimates from inpatient TND studies capture the vaccine-mediated protection of the source population against laboratory-confirmed influenza hospitalizations. If vaccination does not modify disease severity, these estimates are equivalent to VE against influenza virus infection. If chronic cardiopulmonary individuals are enrolled because of non-infectious exacerbation, biased VE estimates (too high) will result. If chronic cardiopulmonary disease status is adjusted for accurately, the VE estimates will be unbiased. If chronic cardiopulmonary illness cannot be adequately be characterized, excluding these individuals may provide unbiased VE estimates.ConclusionsThe inpatient TND offers logistic advantages and can provide valid estimates of influenza VE. If highly vaccinated patients with respiratory exacerbation of chronic cardiopulmonary conditions are eligible for study inclusion, biased VE estimates will result unless this group is well characterized and the analysis can adequately adjust for it. Otherwise, such groups of subjects should be excluded from the analysis.

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“…Finally, our study presented estimates based on self-reported influenza vaccination uptake and diagnoses of chronic diseases that might be affected by recall and social desirability biases [35,36]. This could have led to overestimate IVC, especially among immigrants [36], thus masking an even greater difference in IVC between immigrants and Italian citizens.…”

Section: Discussionmentioning

confidence: 99%

“…This could have led to overestimate IVC, especially among immigrants [36], thus masking an even greater difference in IVC between immigrants and Italian citizens.…”

Section: Discussionmentioning

confidence: 99%

Differences in Influenza Vaccination Coverage between Adult Immigrants and Italian Citizens at Risk for Influenza-Related Complications: A Cross-Sectional Study

Fabiani

Riccardo

Napoli³

et al. 2016

PLoS ONE

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BackgroundDue to their increased vulnerability, immigrants are considered a priority group for communicable disease prevention and control in Europe. This study aims to compare influenza vaccination coverage (IVC) between regular immigrants and Italian citizens at risk for its complications and evaluate factors affecting differences.MethodsBased on data collected by the National Institute of Statistics during a population-based cross-sectional survey conducted in Italy in 2012–2013, we analysed information on 42,048 adult residents (≥ 18 years) at risk for influenza-related complications and with free access to vaccination (elderly residents ≥ 65 years and residents with specific chronic diseases). We compared IVC between 885 regular immigrants and 41,163 Italian citizens using log-binomial models and stratifying immigrants by area of origin and length of stay in Italy (recent: < 10 years; long-term: ≥ 10 years).ResultsIVC among all immigrants was 16.9% compared to 40.2% among Italian citizens (vaccination coverage ratio (VCR) = 0.42, 95% confidence interval (CI): 0.36–0.49). Adjusting for sex, age and area of residence, this difference was greatly reduced but remained statistically significant (VCR = 0.71, 95 CI: 0.61–0.81). Further adjustment for socio-economic factors (education, occupation, family composition and economic status) and a composite indicator of health-services utilization did not affect the difference (VCR = 0.78, 95% CI: 0.68–0.90). However, after adjustments, only long-term immigrants from Africa (VCR = 0.49, 95% CI: 0.28–0.85) and recent immigrants (VCR = 0.58, 95% CI: 0.43–0.78) showed a significantly different IVC compared to Italian citizens.ConclusionsDifferences in demographic characteristics, socio-economic conditions and health-services utilization explained the reduced IVC in most long-term immigrants compared to Italian citizens. By contrast, these differences did not explain the reduced IVC in long-term immigrants from Africa and recent immigrants. This suggests that IVC in these sub-groups is affected by other informal barriers (e.g., cultural and linguistic) that need to be investigated to promote effective immunization access strategies.

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Comparison of self-report influenza vaccination coverage with data from a population based computerized vaccination registry and factors associated with discordance

Cited by 44 publications

References 23 publications

Attitude, knowledge and factors associated with influenza and pneumococcal vaccine uptake in a large cohort of patients with secondary immune deficiency

Attitude, knowledge and factors associated with influenza and pneumococcal vaccine uptake in a large cohort of patients with secondary immune deficiency

The case test-negative design for studies of the effectiveness of influenza vaccine in inpatient settings

Differences in Influenza Vaccination Coverage between Adult Immigrants and Italian Citizens at Risk for Influenza-Related Complications: A Cross-Sectional Study

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