Pedianet Italy Study

Study profile

Description

Pedianet is a paediatric general practice research database based on electronic health records which contain information collected by family paediatricians in Italy. Data include reasons for accessing care, health status, demographic data, diagnosis and clinical details, prescriptions, specialist appointments, diagnostic procedures, hospital admissions, growth parameters, and outcome data for children seen by approximately 190 paediatricians located across Italy.

Countries involved: Italy

Sample size: ~150,000 children

Related publications:

Barbieri E, Trinh NTH, Di Chiara C, Corrao G, Boracchini R, Rosa E, Liberati C, Donà D, Lupattelli A, Giaquinto C, Cantarutti A. Impact of Prior SARS-CoV-2 Infection on COVID-19 Vaccine Effectiveness in Children and Adolescents in Norway and Italy. Vaccines (Basel). 2025;13(7):698. Published 2025 Jun 27. doi:10.3390/vaccines13070698

Metadata collected

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	Data collected?
Demographics
Date of birth (full or MM/YY)	✅
Age at contact	✅
Sex / gender	✅
Country of birth	✅
Ethnic group / race / population sector
Income level
Employment / occupation
Other socio-economic status proxy	✅
Education level	✅
Civil status (‘marital’)
Locality (of health care provision)	✅
Locality (of residence)	✅
Household size
Household composition

Hospitalisation
Admission / discharge dates or duration	✅
Episode dates
Episode type (e.g., general; birth)
Diagnosis (e.g., codes)	✅
Procedures (e.g., codes)
Procedures dates
Dispensed medications
ICU admission	✅
Admission type (planned/emergency)
Hospitalisation for COVID-19	✅

Primary care, outpatient care
Date of visit / contact	✅
Diagnosis codes	✅
Dispensed medications codes	✅^
Dispensed medications date	✅^
Primary care utilisation summary
^no dispensed mediacation, but prescribed ones

Health status and exposures
Height	✅
Weight	✅
Date of anthropometrics	✅
Chronic / co-morbid conditions~	✅
Medications for chronic conditions	✅
Smoker in household
Current smoker
~ can include obesity

Vaccines
COVID-19 vaccine (timing, doses)	✅
Type of COVID-19 vaccine	✅
Other vaccinations / vaccination history	✅

COVID-19 symptoms & contacts
COVID-19 episodes	✅
COVID-19 symptoms (type, severity, duration)	✅
Influenza-like symptoms (type, timing, duration)
COVID-19 health-seeking behaviour
COVID-19 contacts in household
Medications during C-19 episode	✅^
^prescribed medications

Pregnancy & birth
Date of delivery
Length of gestation	✅ #
Birthweight	✅ #
Maternal age at delivery
Pregnancy complications
Smoking pre-pregnancy
Vaccines in pregnancy (non-COVID-19)
Parity / nulliparity
Pre-pregnancy body mass index
Pregnancy outcome (e.g. miscarriage)
Mode of delivery
Sex of baby
Congenital anomalies
Other newborn complications
Placental weight
Antenatal care usage
Currently pregnant
# for included children

Death
Date of / age at death	✅
Cause of death	✅

COVID-19 laboratory tests
Sample type tested
Sample / specimen collection date
SARS-CoV-2 PCR test date	✅
SARS-CoV-2 PCR pos / neg result	✅
SARS-CoV-2 PCR Ct Value
SARS-CoV-2 LFT test date	✅
SARS-CoV-2 LFT test result	✅
Serology test date
Serology test results
SARS- COV-2 genomic test results
SARS- COV-2 variant/ lineage
Other lab tests

COVID-19 sample collection / storage
Sample type collected
Sample collection date
Sample collection time
Sample processing
Sample quality
Consent to use research sample
Consent to share research sample