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Data Integration to Improve Real-world Health Outcomes Research for Non-Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration - PubMed

Data Integration to Improve Real-world Health Outcomes Research for Non-Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration - PubMed

Source :

https://pubmed.ncbi.nlm.nih.gov/33843600/

The management of patients with NSCLC requires care from a multidisciplinary team, leading to a lack of a single aggregated data source in real-world settings. The availability of integrated clinical data from MRs, health plan claims, and other sources of clinical care may improve the ability to ass ...

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    Key Points
    • In the current retrospective study, the researchers integrated data from several complementary sources to facilitate health outcomes research in patients with non-small cell lung cancer (NSCLC). These sources included administrative claims from the HealthCore Integrated Research Database, clinical data from a Cancer Care Quality Program (CCQP), clinical data from abstracted medical records (MRs), and mortality data from the US Social Security Administration.
    • The authors wrote, “As RWE [real-world evidence] grows and gains value, especially for pragmatic clinical trials (PCTs), the traditional gold standard of a randomized clinical trial (RCT) is facing major hurdles: low recruitment rates, small patient populations, long durations, and high costs. This evolving environment, along with growing interest in PCTs, is increasing the importance of big data and RWE as a complement to RCTs.”
    • The authors noted a larger role for RWE in augmenting decision making across the health care system, thus reflecting regulators, patients, payers, and providers. The authors noted that even though RCTs have internal validity, RWE may contribute external validity. Furthermore, RWE could assess key clinical questions outside the scope of RCTs. “Such studies are well suited for investigations seeking safety and effectiveness outcomes data for broader target populations,” wrote the authors.
    • One main limitation of the current strategy is that data quality and content depends on the underlying data selected for integration. Furthermore, some research questions lacked enough data to tackle.