Effectiveness of monovalent and pentavalent rotavirus vaccines in Japanese children

Araki, Kazukuni; Hara, Megumi; Tsugawa, Takeshi; Shimanoe, Chisato; Nishida, Yuichiro; Matsuo, Muneaki; Tanaka, Keitaro

doi:10.1016/j.vaccine.2018.07.007

Cited by 29 publications

(25 citation statements)

References 31 publications

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“…Due to the assumed linearity, the estimated VE value is common across individuals regardless of covariates ξ 2:n . We can employ the direct likelihood method by combining Equations (5) and (7). The usual logistic regression optimises θ by assuming that the test results follow Bernoulli distributions Z i ∼ Bernoulli( p 1 (ξ i ;θ)) (Z i = 1 for positive test results and 0 for negative).…”

Section: Direct Likelihood Methods For the Logistic Regression Modelmentioning

confidence: 99%

“…To explore the possible degree of bias in existing VE studies, we extracted the reported crude VEs (i.e. VEs unadjusted for potential confounders) from two systematic reviews [21,23] 5 and applied our bias correction method assuming different levels of test sensitivity and specificity. The case counts for each study summarised in the reviews were considered eligible for the analysis if the total sample size exceeded 200.…”

Section: Bias Correction Of Ves Reported In Previous Studiesmentioning

confidence: 99%

“…The TND can therefore minimise ascertainment bias by including only medicallyattended patients in both case and control groups. Many TND studies have focused on influenza vaccination, but recent studies have also considered other diseases including pneumococcal disease [3,4] and rotavirus disease [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Bias correction methods for test-negative designs in the presence of misclassification

2020

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The test-negative design (TND) has become a standard approach for vaccine effectiveness (VE) studies. However, previous studies suggested that it may be more vulnerable than other designs to misclassification of disease outcome caused by imperfect diagnostic tests. This could be a particular limitation in VE studies where simple tests (e.g. rapid influenza diagnostic tests) are used for logistical convenience. To address this issue, we derived a mathematical representation of the TND with imperfect tests, then developed a bias correction framework for possible misclassification. TND studies usually include multiple covariates other than vaccine history to adjust for potential confounders; our methods can also address multivariate analyses and be easily coupled with existing estimation tools. We validated the performance of these methods using simulations of common scenarios for vaccine efficacy and were able to obtain unbiased estimates in a variety of parameter settings. 10 A. Endo et al.

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Section: Direct Likelihood Methods For the Logistic Regression Modelmentioning

confidence: 99%

Section: Bias Correction Of Ves Reported In Previous Studiesmentioning

confidence: 99%

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Bias correction methods for test-negative designs in the presence of misclassification

2020

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“…10) In Japan, Rotarix ® and RotaTeq ® became available on the private market in November 2011 and July 2012, respectively. Because of the high effectiveness of these vaccines 11,12) and their impact on reducing hospitalization from RVGE, [13][14][15][16] rotavirus vaccine will be included in Japan's NIP in October 2020; however, vaccination is self-paid at present. Additionally, vaccination coverage in Japan is unclear because Japan has no vaccination registry.…”

Section: Introductionmentioning

confidence: 99%

Determinants of self-paid rotavirus vaccination status in Kanazawa, Japan, including socioeconomic factors, parents’ perception, and children’s characteristics

Hara

Koshida

Araki

et al. 2020

Preprint

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Background: Japan’s National Immunization Program does not cover rotavirus vaccine and no government subsidies are available. This study aimed to measure the uptake of and determinants that influenced self-paid rotavirus vaccination, including socioeconomic status and relative poverty.Methods: We conducted a cross-sectional study at health check-ups for all children aged 18 months in Kanazawa, Japan, between December 2017 and July 2018. Community nurses collected information on self-paid vaccination history, parents’ perceptions of and recommendations for rotavirus vaccine, and socioeconomic status in interviews using a unified questionnaire. We used multivariable logistic regression to assess vaccine uptake and possible determinants.Results: In total, 1,282 participants were enrolled. The estimated rotavirus vaccine coverage was 72.9%. Perceptions that rotavirus gastroenteritis was serious and that the rotavirus vaccine was effective, pediatricians’ recommendations, information from the city office, magazine and Internet articles, and higher parental education level were associated with higher rotavirus vaccine uptake. Lower household income was associated with decreased rotavirus vaccine uptake. Vaccine expense, fear of adverse reactions to the vaccine, number of household members and siblings, and children’s characteristics were not correlated with rotavirus vaccination. Poverty was associated with decreased rotavirus vaccine uptake, even after adjustment for other determinants (adjusted odds ratio 0.49, 95% confidence interval: 0.26–0.90).Conclusion: Parents’ perceptions, socioeconomic status, relative poverty, and pediatricians’ recommendations are determinants of vaccination. This study suggests that appropriate information about rotavirus vaccine, subsidies for those of lower socioeconomic status, and national recommendations are necessary to achieve higher coverage.

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“…No interaction between covariates was assumed. The covariate set in Section 2.3.4 being baseline (the number of covariates: (vaccine, categorical, continuous) = (1, 1, 1)), we employed two more scenarios with a larger number of covariates: (1, 3, 3) and (1,5,5).…”

mentioning

confidence: 99%

Bias correction methods for test-negative designs in the presence of misclassification

Endo

Funk

Kucharski

2019

Preprint

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The test-negative design has become a standard approach for vaccine effectiveness studies. However, previous studies suggested that it may be more sensitive than other designs to misclassification of disease outcome caused by imperfect diagnostic tests. This could be a particular limitation in vaccine effectiveness studies where simple tests (e.g. rapid influenza diagnostic tests) are used for logistical convenience. To address this issue, we derived a mathematical representation of the test-negative design with imperfect tests, then developed a bias correction framework for possible misclassification. Test-negative design studies usually include multiple covariates other than vaccine history to adjust potential confounders; our methods can also address multivariate analyses and be easily coupled with existing estimation tools. We validated the performance of these methods using simulations of common scenarios for vaccine efficacy and were able to obtain unbiased estimates in a variety of parameter settings.

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Effectiveness of monovalent and pentavalent rotavirus vaccines in Japanese children

Cited by 29 publications

References 31 publications

Bias correction methods for test-negative designs in the presence of misclassification

Bias correction methods for test-negative designs in the presence of misclassification

Determinants of self-paid rotavirus vaccination status in Kanazawa, Japan, including socioeconomic factors, parents’ perception, and children’s characteristics

Bias correction methods for test-negative designs in the presence of misclassification

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