Real World Data for Population-Based Pediatric Studies
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 24467
Special Issue Editors
Interests: population-based birth cohort study; longitudinal studies; environmental epidemiology; pharmacoepidemiology; real-world data
Special Issues, Collections and Topics in MDPI journals
Interests: population-based birth cohort study; longitudinal studies; environmental epidemiology; pharmacoepidemiology; real-world data
Special Issue Information
Dear Colleagues,
Progressive digitalization of healthcare services has allowed us to develop, in recent years, unprecedented large-scale population-based studies. Information on drug prescriptions, hospital discharge records, emergency department visits, and other services delivered to the entire population by the National Health Service are availble in an increasing number of countries. By examining healthcare utilization, public health experts, epidemiologists, and researchers can define individual heath profiles, with an overview that can span several decades and will eventually allow for life-long follow-ups.
Studying pediatric health profiles is of particular clinical importance for numerous reasons. Some of its applications consist in analyzing specific pharmacological exposures to investigate associations with the subsequent development of diseases. This is especially relevant considering the vast use of off-label drugs among children, for whom specific clinical trials are rarely conducted.
The association of diseases with other health conditions is also of great relevance, in the attempt to better understand the complexity of comorbidities, to improve diagnostic rapidity, and to indicate possible strategies for targeted prevention among specific groups at increased risks.
Another relevant aspect that will imperatively require further investigation consists in observing possible long-term consequences deriving from the present COVID-19 pandemic. Despite the disease not having shown any serious acute health consequences on children, long-term consequences following Sars-CoV-2 infection are not known.
The most appropriate study design to address these research topics are cohort studies. Pediatric population-based cohorts can be easily built from healthcare databases, using real world data in the attempt to respond to research questions that have not been answered to by gold standard clinical-trials. Healthcare databases can often allow for variably rich adjustments to account for confounders in outcome risk assessment.
When follow-up begins since pregnancy or birth, pediatric cohorts should more appropriately be defined as birth cohorts and can allow for the assessment of exposures in a very delicate phase of life. Heathcare administrative databases can now allow researchers to follow children’s health conditions up to adulthood. This provides the scientific community with a unique opportunity to understand what exposures in utero and in early life mostly affect a correct and healthy growth of the child. These studies can allow policy makers to promote the removal of all detrimental obstactles to an optimal and healthy development of the child.
This Special Issue of the International Journal of Environmental Research and Public Health (IJERPH) focuses on assessing exposures in pediatric population-based cohorts, through record linkage of healthcare administrative databases. High academic standard papers that address these topics are invited for submission to this Special Issue.
Possible topics for this Special Issue include:
1) Pediatric cohorts: real world data for pharmacoepidemiological studies;
2) Pharmacoepidemiology thorough real world data;
3) Pharmacoepidemiology in pregnancy and childhood and the epidemiology of pregnancy and related neonatal complications;
4) Morbid and comorbid COVID-19: beyond the acute phase;
5) Comorbidities in childhood;
6) Non-communicable/preventable diseases among children: where does prevention/public health stand?
7) Exposure to prenatal environmental risk factors (air pollution, chemicals, etc.)—childhood outcomes.
Prof. Dr. Cristina Canova
Dr. Claudio Barbiellini Amidei
Guest Editors
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