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Future Oncol ; 15(14): 1551-1563, 2019 May.
Article in English | MEDLINE | ID: mdl-30852916

ABSTRACT

Aim: To describe I-O Optimise, a multinational program providing real-world insights into lung cancer management. Materials & methods: Real-world data source selection for I-O Optimise followed a structured approach focused on population coverage, key variable capture, continuous/consistent data availability, record duration and data latency, and database expertise. Results: As of 31 October 2018, seven real-world data sources were included in I-O Optimise, providing data on characteristics, treatment patterns and clinical outcomes from more than 45,000 patients/year with non-small-cell lung cancer, small-cell lung cancer and mesothelioma across Denmark, Norway, Portugal, Spain, Sweden and the UK. Conclusion: The ongoing I-O Optimise initiative has the potential to provide a broad, robust and dynamic research platform to continually address numerous research objectives in the lung cancer arena.


Subject(s)
Medical Informatics/methods , Research , Thoracic Neoplasms/epidemiology , Databases, Factual , Disease Management , Europe , Global Health , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/therapy , Patient Care , Patient Outcome Assessment , Practice Patterns, Physicians' , Public Health Surveillance , Thoracic Neoplasms/diagnosis , Thoracic Neoplasms/therapy
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