Last month, AcademyHealth launched a new online portal to better serve our community. In order to register for AcademyHealth events you are required to access the portal. Accessing the portal for the first time will require previous users to reset their password.  Read our recent blog post here to learn the easy steps to set up your new account.

Overview


The T-MSIS Analytic Files (TAF) are highly complex, with varying quality across data elements and states, which requires a systematic and transparent approach to analysis. In recognition of these challenges, the Medicaid Data Learning Network (MDLN) has developed a TAF Analysis Reporting (TAR) Checklist, recommending a series of items that should be reported in analyses of TAF to ensure that TAF-derived research is both high quality and reproducible. In this webinar, we will introduce this checklist, which is meant as a guide for those who generate and evaluate analyses of the TAF. We will be joined by Dr. Julie Donohue, a journal editor and Medicaid data expert, who will expand on the value of the checklist in ensuring high quality research, as well as Dr. Laura Smith, a Medicaid researcher at the Urban Institute, who will apply the checklist to an example of her own work. 

Watch Recorded Webinar


Presentation slides from the webinar are available here.

Learning Objectives


By the conclusion of this webinar, participants: 

  • Familiarized themselves with the TAR checklist developed by the Medicaid Data Learning Network (MDLN) as a comprehensive tool for generating and evaluating high-quality, reproducible TAF analyses.
  • Learned a systematic and transparent approach to analyzing TAF data, essential for overcoming complexities and ensuring robust research outcomes.
  • Had the opportunity to provide feedback on the checklist in real time, ensuring this tool appropriately serves the TAF research community. 

Speaker List


Presenters

william schpero headshot
Committee Member, Member

William Schpero, Ph.D.

Assistant Professor - Weill Cornell Medical College

Dr. William Schpero is an Assistant Professor in the Department of Healthcare Policy and Research at Weill Cornell Medical College. Read Bio

John McConnell, Ph.D.

Director of the Center for Health Systems Effectiveness (CHSE) - Oregon Health & Science University

John McConnell is the Director of the Center for Health Systems Effectiveness (CHSE) at Oregon Health & Science University (OHSU) and Professor in the Department of Emergency Medicine at OHSU and the OHSU/Portland State University School of Public Health. Read Bio

Committee Member, Member

Sarah Gordon, Ph.D., M.S.

Assistant Professor - Boston University School of Public Health

Sarah Gordon is an assistant professor in the Department of Health Law, Policy, and Management at the Boston University School of Public Health. Read Bio

 

Julie Donohue
Researcher

Julie Donohue, Ph.D.

Professor & Chair - Department of Health Policy and Management, School of Public Health, University of Pittsburgh

Julie M. Donohue, Ph.D., is the principal lead on AcademyHealth's Medicaid Outcomes Distributed Research Network-Opioid project. Read Bio

Support

A Johnson headshot
Staff

Annaliese Johnson, M.P.P.

AcademyHealth - Senior Manager

Annaliese Johnson is a Senior Manager of AcademyHealth’s Evidence-Informed State Health Policy Institute, where she supports numerous state-focused networks and projects. Read Bio

susan kennedy headshot
Staff

Susan Kennedy, M.P.P., M.S.W.

Senior Director - AcademyHealth

Susan Kennedy, M.P.P., M.S.W. is the Senior Director of AcademyHealth's Evidence-Informed State Health Policy Institute, where she manages the full portfolio of state-focused networks and projects. Read Bio

zoe headshot
Staff

Zoe D’Angelo

Research Associate - AcademyHealth

Zoe D’Angelo is a Research Associate at AcademyHealth, where she supports the Evidence-Informed State Health Policy Institute (ESHPI) and its overseeing of the State University Partnership Learning Network (SUPLN) and its related Networks including the Medicaid Outcomes Distributed Research Network (MODRN) and the Medicaid Data Learning Network (MDLN). Read Bio