ArticleJAMA health forum2025
The T-MSIS Analytic Files (TAF) Analysis Reporting Checklist: A Guide for Research Using Medicaid Claims Data.
Article in JAMA health forum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- How Should We Identify Home- and Community-Based Services (HCBS) in Medicaid Claims Data? An Evaluation and Synthesis of Algorithms.Health services research · 2026Article
- Opioid Use Disorder and Evidence-Based Care Among Medicaid-Enrolled Youths.JAMA network open · 2026Article
- Opioid use disorder medication treatment in residential settings increased 2017-2021, but sustaining it following stays remains an issue.Health affairs scholar · 2026Article
- Medicaid home and community based services are vital for adults with intellectual and developmental disabilities: A descriptive study of service use among all adult enrollees, 2022.Disability and health journal · 2026Article
- Algorithm for Improving Beneficiary Identifier Quality in Medicaid Administrative Data.Research square · 2026Article
- Medicaid Disenrollment Among Young Adults With and Without Complex Medical Conditions.JAMA pediatrics · 2026Observational
- Crisis Stabilization Unit Use for Behavioral Health Visits Among Medicaid Enrollees.JAMA health forum · 2026Article
- Variation in time to payment in Medicaid managed care: evidence from national TAF data, 2022.Health affairs scholar · 2026Article
- Few clinicians provide a wide range of contraceptive methods to Medicaid beneficiaries.Health affairs scholar · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
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 health policy journals; and (4) the broader Medicaid research community. Findings: The final checklist includes 4 categories of items that are recommended for reporting in studies using the TAF data. This includes (1) details on the specific data used (files, years, release versions, and size of the data extract), (2) how the analytic sample was defined (eligibility criteria, enrollment span, and scope of benefits), (3) what states and/or territories were excluded from the analysis based on data quality concerns (and the exclusion criteria used to do so), and (4) additional information on special considerations, including use of spending data and changes in data quality over time. Conclusions and Relevance: The TAF Analysis Reporting Checklist represents a consensus effort to identify items researchers should report to promote transparency and reproducibility in TAF-based studies. This reporting is a key step in safeguarding the quality of research used to inform Medicaid policy.
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Registered trials
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