Study type

Study topic

Human medicinal product

Study type

Non-interventional study
Non-interventional study

Scope of the study

Other

If ‘other’, further details on the scope of the study

Coverage study

Data collection methods

Secondary data collection

Non-interventional study design

Other

Non-interventional study design, other

Retrospective population based cohort study
Study drug and medical condition

Study drug International non-proprietary name (INN) or common name

PERTUSSIS VACCINE
Population studied

Short description of the study population

All children registered in any of the participating databases during the study period and for whom an adequate start and end of follow-up and date of birth can be defined.

Age groups

Infants and toddlers (28 days – 23 months)
Children (2 to < 12 years)

Estimated number of subjects

10000000
Study design details

Main study objective

To estimate the coverage of pertussis-containing vaccines in children less than 6 years of age. The specific objective of this study is to assess the system capability to estimate acellular pertussis and whole-cell pertussis vaccine coverage

Outcomes

Coverage rate overall and for wP and aP vaccines is the proportion of vaccinated children by database, birth cohort, age in months and per dose The variability of vaccine administration is defined as the time elapsed between birth and the first dose and the time elapsed between subsequent scheduled doses.Changes of coverage rates over time will be described by general descriptive statistic

Data analysis plan

• The coverage by age in months per birth cohort will be calculated using a Kaplan-Meier method. The proportion of vaccinated children with dose 1, 2, 3, and subsequent boosters will be calculated stratified by year of birth, type of vaccine and database.• The change of coverage rates over time will be calculated by the difference between coverage rates and a defined threshold. Low coverage thresholds will be determined for identification of variability of interest/concern. Data-driven thresholds will be compared with set values based on coverage rates required for herd immunity. CUSUM involves the calculation of a cumulative sum (which is what makes it ‘sequential’). It is designed to detect changes in the difference. It differs from Sequential Probability Ratio Test (SPRT) by always using zero function as the lower ‘holding barrier’. Also, CUSUM does not require the use of the likelihood function.
Documents
Study results
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