The T-MSIS Analytic Files (TAF) Analysis Reporting Checklist

作者：William L. Schpero, K. John McConnell, Greta Bushnell, Alina Denham, Patience M. Dow, Shashi N. Kapadia, Stephan Lindner, Hillary Samples, Lindsay Shea, Kelsey Watson, Sarah H. Gordon · 发表于：JAMA Health Forum · 年份：2025 · DOI：10.1001/jamahealthforum.2025.3622 · 被引用次数：10 · 研究领域：Healthcare Policy and Management、Health Policy Implementation Science、Geriatric Care and Nursing Homes

Importance: Medicaid is the single largest source of health care coverage in the US, but health policy research on the Medicaid program has historically lagged research on Medicare due to limited availability of high-quality administrative claims data across states. In 2019, the US Centers for Medicare & Medicaid Services released the T-MSIS Analytic Files (TAF), a new-generation federal Medicaid claims dataset that has catalyzed policy-relevant research on the Medicaid program. TAF data are highly complex, however, with meaningful differences in quality across states, years, and data elements. There is an urgent need for standardized reporting guidelines to ensure TAF-based research is high quality and reproducible. Objective: To develop a checklist to guide reporting of research using the TAF data. Evidence Review: The development of the TAF Analysis Reporting Checklist was led by a subcommittee of the Medicaid Data Learning Network (MDLN), a national consortium of research teams focused on developing and disseminating best practices for conducting health services research with the TAF data. The subcommittee first created a draft checklist drawing from published technical guidance on proper use of the TAF data, as well as published analyses of TAF data quality. This draft was iteratively refined based on feedback from (1) MDLN members; (2) the MDLN Advisory Group, composed of leaders in academia, government, and industry with Medicaid claims experience; (3) editors of healt...