SHARP: enabling generation of real-world evidence on a pan-European scale to improve the lives of individuals with severe asthma
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SHARP : enabling generation of real-world evidence on a pan-European scale to improve the lives of individuals with severe asthma. / van Bragt, Job J M H; Hansen, Susanne; Djukanovic, Ratko; Bel, Elisabeth H D; Ten Brinke, Anneke; Wagers, Scott S; Maitland-van der Zee, Anke H; Porsbjerg, Celeste.
In: ERJ Open Research, Vol. 7, No. 2, 00064-2021, 2021.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - SHARP
T2 - enabling generation of real-world evidence on a pan-European scale to improve the lives of individuals with severe asthma
AU - van Bragt, Job J M H
AU - Hansen, Susanne
AU - Djukanovic, Ratko
AU - Bel, Elisabeth H D
AU - Ten Brinke, Anneke
AU - Wagers, Scott S
AU - Maitland-van der Zee, Anke H
AU - Porsbjerg, Celeste
N1 - Copyright ©The authors 2021.
PY - 2021
Y1 - 2021
N2 - Real-world evidence is important to help unravel unanswered problems in severe asthma and is valuable to better understand the patient experience and common clinical practice. The Severe Heterogeneous Asthma Registry, Patient-centred (SHARP) Clinical Research Collaboration is created as a network of national registries and severe asthma centres that work together to perform registry based real-world research and clinical studies on a pan-European scale. Such collaboration requires a new, innovative design to overcome the many issues that arise with large-scale data collection across national borders. SHARP has developed a platform that offers a federated analysis approach where national registry data are transformed and integrated into a common data model (CDM). The CDM then allows a local analysis of de-identified patient data and subsequent aggregate (meta-)analysis. To facilitate an easily accessible way to set up new registries, SHARP enables new registries to take part in a central database, based on already proven technology. Next to being economical, this linkage ensures data from different SHARP central members to be comparable. Technological advancements lead to an ever-expanding rate of patient data that will be collected; with the collective effort of the pan-European severe asthma research community SHARP hopes to ensure that they are well equipped to enter a new era of medical research, with the ultimate goal to positively impact the lives of patients with severe asthma.
AB - Real-world evidence is important to help unravel unanswered problems in severe asthma and is valuable to better understand the patient experience and common clinical practice. The Severe Heterogeneous Asthma Registry, Patient-centred (SHARP) Clinical Research Collaboration is created as a network of national registries and severe asthma centres that work together to perform registry based real-world research and clinical studies on a pan-European scale. Such collaboration requires a new, innovative design to overcome the many issues that arise with large-scale data collection across national borders. SHARP has developed a platform that offers a federated analysis approach where national registry data are transformed and integrated into a common data model (CDM). The CDM then allows a local analysis of de-identified patient data and subsequent aggregate (meta-)analysis. To facilitate an easily accessible way to set up new registries, SHARP enables new registries to take part in a central database, based on already proven technology. Next to being economical, this linkage ensures data from different SHARP central members to be comparable. Technological advancements lead to an ever-expanding rate of patient data that will be collected; with the collective effort of the pan-European severe asthma research community SHARP hopes to ensure that they are well equipped to enter a new era of medical research, with the ultimate goal to positively impact the lives of patients with severe asthma.
U2 - 10.1183/23120541.00064-2021
DO - 10.1183/23120541.00064-2021
M3 - Review
C2 - 33898615
VL - 7
JO - ERJ Open Research
JF - ERJ Open Research
SN - 2312-0541
IS - 2
M1 - 00064-2021
ER -
ID: 281110127