Avenues for Strengthening PCORnet's Capacity to Advance Patient-Centered Economic Outcomes in Patient-Centered Outcomes Research (PCOR). Med Care 2023 Dec 01;61(12 Suppl 2):S153-S160
Date
11/14/2023Pubmed ID
37963035Pubmed Central ID
PMC10635342DOI
10.1097/MLR.0000000000001929Scopus ID
2-s2.0-85177102847 (requires institutional sign-in at Scopus site) 1 CitationAbstract
PCORnet, the National Patient-Centered Clinical Research Network, provides the ability to conduct prospective and observational pragmatic research by leveraging standardized, curated electronic health records data together with patient and stakeholder engagement. PCORnet is funded by the Patient-Centered Outcomes Research Institute (PCORI) and is composed of 8 Clinical Research Networks that incorporate at total of 79 health system "sites." As the network developed, linkage to commercial health plans, federal insurance claims, disease registries, and other data resources demonstrated the value in extending the networks infrastructure to provide a more complete representation of patient's health and lived experiences. Initially, PCORnet studies avoided direct economic comparative effectiveness as a topic. However, PCORI's authorizing law was amended in 2019 to allow studies to incorporate patient-centered economic outcomes in primary research aims. With PCORI's expanded scope and PCORnet's phase 3 beginning in January 2022, there are opportunities to strengthen the network's ability to support economic patient-centered outcomes research. This commentary will discuss approaches that have been incorporated to date by the network and point to opportunities for the network to incorporate economic variables for analysis, informed by patient and stakeholder perspectives. Topics addressed include: (1) data linkage infrastructure; (2) commercial health plan partnerships; (3) Medicare and Medicaid linkage; (4) health system billing-based benchmarking; (5) area-level measures; (6) individual-level measures; (7) pharmacy benefits and retail pharmacy data; and (8) the importance of transparency and engagement while addressing the biases inherent in linking real-world data sources.
Author List
Waitman LR, Bailey LC, Becich MJ, Chung-Bridges K, Dusetzina SB, Espino JU, Hogan WR, Kaushal R, McClay JC, Merritt JG, Rothman RL, Shenkman EA, Song X, Nauman EAuthor
William R. Hogan MD Director, Professor in the Data Science Institute department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AgedHumans
Medicare
Patient Outcome Assessment
Patient-Centered Care
Prospective Studies
United States
