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 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 were joined by Julie Donohue, PhD (University of Pittsburgh), a journal editor and Medicaid data expert, who expanded on the value of the checklist in ensuring high-quality research, as well as Laura Smith, PhD (Urban Institute), a Medicaid researcher who applied the checklist to an example of her own work.
The webinar recording is available here.
Slides from the webinar are available here.
Learning Objectives
By the conclusion of this webinar, participants:
Familiarized themselves with the TAF 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.