Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Feasibility analysis

Data collection methods

Secondary data collection
Non-interventional study

Non-interventional study design

Cohort
Population studied

Short description of the study population

Electronic health records or registries data of people from 10 data sources in 7 countries in Europe from January 1st, 2017, till the last data availability were selected. Persons were included in the dynamic study population when they had: 
- Information on age and gender available,  
- At least one day of follow in the study period (1/1/2017- latest availability). 
Follow-up started at the latest date of any of the following dates: day that one year of lookback is available during the study period, or at 1/1/2017 when the person is born in the data base.  
Follow-up finished at the earliest of the following dates: death, disenrollment, end of study period, or recommended end date. For calculation of incidence rates of outcomes, occurrence of the diagnosis of interest for the selected events was an additional censoring date.

Age groups

Paediatric Population (< 18 years)
Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
Children (2 to < 12 years)
Adolescents (12 to < 18 years)
Adult and elderly population (>18 years)
Adults (18 to < 65 years)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Elderly (≥ 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)
Study design details

Study design

Retrospective multi-database population-based cohort study designed during the study period from January 1st, 2017, till the last data availability, with the aim of describing and assessing the fitness for purpose of data sources to address potential future studies on vaccine safety.

Main study objective

This study specifically aims to provide and describe a network of real-world data sources for the evaluation of vaccine safety signals, and to assess its fitness-for-purpose through the following specific objectives:  
- To assess data quality for conducting safety studies on the general population, specific vaccines, and selected outcomes.   
- To assess whether data are fit-for-purpose for conducting future safety studies on specific vaccines and selected outcomes in a near real-time monitoring manner. 

Setting

In this study a multi-database cohort has been conducted using electronic health records or registries data from 10 data sources in 7 countries in Europe (UK, Spain, Denmark, Finland, Norway, Italy and France) from January 1st, 2017, till the last data availability. Persons were included in the dynamic study population when they had: 
- Information on age and gender available,  
- At least one day of follow in the study period (1/1/2017- latest availability). 

Outcomes

Thirty-nine events have been selected with EMA to assess data sources preparedness and estimate diseases’ incidence/prevalence rates.  Clinical definition forms and codes’ lists including ICD9, ICD10, SNOMED, and ICPC codes have been generated using the standardized VAC4EU process for identifying the events. The list of events included: 
1. Microangiopathy  
2. Acute coronary artery disease  
3. Arrhythmia  
4. Myocarditis   
5. Pericarditis  
6. VTE (DVT & PE & Splanchnic)  
7. Arterial thrombosis (AMI /Ischemic stroke)  
8. TTS (VTE, arterial thrombosis, or CVST with thrombocytopenia in 10 days)  
9. Pulmonary embolism  
10. Haemorrhagic stroke  
11. DIC (disseminated intravascular coagulation)  
12. CVST  
13. Generalised convulsion  
14. Guillain Barré Syndrome  
15. Diabetes (type 1)  
16. Single organ cutaneous vasculitis  
17. Erythema multiforme  
18. Meningoencephalitis  
19. Acute disseminated encephalomyelitis (ADEM)  
20. Narcolepsy  
21. Thrombocytopenia  
22. Transverse myelitis  
23. Bells’ palsy  
24. Kawasaki's disease   
25. Pancreatitis   
26. Rhabdomyolysis   
27. SCARs   
28. Sensorineural hearing loss   
29. Graves' disease   
30. Hashimoto's thyroiditis  
31. Auto-immune hepatitis  
32. Polyarteritis nodosa  
33. Rheumatoid arthritis  
34. Psoriatic arthropathies   
35. Systemic lupus erythematosus   
36. Idiopathic thrombocytopenic purpura   
37. Erythema nodosum   
38. Multiple sclerosis  
39. Ulcerative colitis