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Researchers developed a checklist to standardize reporting for studies using the Transformed Medicaid Statistical Information System Analytic Files (TAF). This ensures high-quality, reproducible Medicaid research and policy recommendations.

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Area of Science:

  • Health Services Research
  • Health Policy Analysis
  • Data Science

Background:

  • Medicaid is the largest US health insurer, yet research has been limited by data availability.
  • The Centers for Medicare & Medicaid Services released the Transformed Medicaid Statistical Information System Analytic Files (TAF) in 2019, enabling more policy-relevant research.
  • TAF data complexity and quality variations across states necessitate standardized reporting guidelines for reliable research.

Purpose of the Study:

  • To develop a comprehensive checklist for reporting research that utilizes TAF data.
  • To enhance the quality, transparency, and reproducibility of health policy research based on TAF.

Main Methods:

  • A subcommittee of the Medicaid Data Learning Network (MDLN) led the checklist development.
  • The draft checklist was informed by TAF technical guidance and data quality analyses.
  • Iterative refinement involved feedback from MDLN members, advisory groups, journal editors, and the research community.

Main Results:

  • The final TAF Analysis Reporting Checklist includes four key reporting categories.
  • Categories cover data specifics (files, years, versions), analytic sample definition, state exclusions due to data quality, and special considerations like spending data and temporal quality changes.

Conclusions:

  • The TAF Analysis Reporting Checklist is a consensus-driven tool to promote transparency and reproducibility in TAF-based studies.
  • Standardized reporting is crucial for ensuring the integrity of research informing Medicaid policy.
  • This checklist supports evidence-based policymaking by improving the reliability of Medicaid research.