Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Other

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

Benefit-risk modeling

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Cohort state transition model, Multi-criteria decision analysis (MCDA)
Study drug and medical condition

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

PERTUSSIS VACCINE

Medical condition to be studied

Injection related reaction
Somnolence
Crying
Convulsion in childhood
Lip swelling
Pertussis
Population studied

Short description of the study population

Children from birth until their school-entry pertussis booster if any (4th or 5th dose) within all eligible ADVANCE databases.

Age groups

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

Estimated number of subjects

1
Study design details

Main study objective

1.Analyze the benefit-risk of pertussis vaccines in children comparing wP and aP at the time of switch from wP to aP (historical)2.Investigate the impact of uncertainty in benefits, risks and preferences3.Identify the criteria that most likely modify the benefit-risk4.Assess the feasibility of monitoring benefit-risk over time5.Re-analyze the benefit-risk using currently available evidence

Outcomes

Exposure of interest: any whole-cell and acellular pertussis-containing vaccines and their doses in the vaccine scheduleOutcomes:Injection site reactions, fever, somnolence, persistent crying, generalized convulsive seizures, HHE, extensive limb swelling, pertussis, pertussis related death

Data analysis plan

The benefit-risk assessments will be carried out following the Multi-Criteria Decision Analyses (MCDA) methodology. MCDA is a quantitative methodology for appraising alternatives on individual, often conflicting criteria and combining them into one overall appraisal, through incorporating elicited preferences (weights). The preferences will be elicited using MCDA-swing weighting. In addition, several sensitivity analyses will be conducted to investigate the impact of uncertainty in the benefits, risks and preference estimations on the overall benefit-risk balance. A state transition model will be build to generate the effects table, which will be used for the MCDA swing weighting.