Evidence map›Paper›PMID 41134558›Full record

ArticleJAMA health forum2025

The T-MSIS Analytic Files (TAF) Analysis Reporting Checklist: A Guide for Research Using Medicaid Claims Data.

William L Schpero, K John McConnell, Greta Bushnell, Alina Denham, Patience M Dow, Shashi N Kapadia, Stephan R Lindner, Hillary Samples, Lindsay Shea, Kelsey Watson and 1 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

William L SchperoDepartment of Population Health Sciences, Weill Cornell Medical College, New York, New York.
K John McConnellDepartment of Emergency Medicine, Oregon Health & Science University, Portland.
Greta BushnellDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.
Alina DenhamDepartment of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York.
Patience M DowDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.
Shashi N KapadiaDepartment of Population Health Sciences, Weill Cornell Medical College, New York, New York.
Stephan R LindnerDepartment of Emergency Medicine, Oregon Health & Science University, Portland.
Hillary SamplesCenter for Pharmacoepidemiology and Treatment Science, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, New Jersey.
Lindsay SheaDepartment of Health Management and Policy, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania.
Kelsey WatsonCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland.
Sarah H GordonDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts.

Funding

Racial and Ethnic Disparities in Access to the Medicaid Transportation Benefit and Implications for Patient OutcomesR01MD018178 · NIMHD · CORNELL UNIVERSITY · PI Jamila D Michener, William Lewis Schpero · 2023 to 2026
$1.7M
Multi-level associations between opioid use and overdose: Individual, clinical, and population-based risk factors for fatalityK01DA049950 · NIDA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SAMPLES, HILLARY · 2020 to 2024
$981k
Integrated Care for Hepatitis C: Current Uptake & Impact on Future TreatmentK01DA048172 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAPADIA, SHASHI · 2019 to 2023
$948k
The Effects of Postpartum Medicaid Policies on Postpartum Depression Care Among Low-Income WomenK01MH127253 · NIMH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Sarah Hall Gordon · 2022 to 2026
$723k
NIDA NIH HHS K01 DA048172NIDA NIH HHS K01 DA049950NIMHD NIH HHS R01 MD018178NIMH NIH HHS K01 MH127253
6 · The paper itself

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.

Indexed as

ChecklistHealth Services ResearchInsurance Claim ReviewMedicaidCenters for Medicare and Medicaid Services, U.S.HumansResearch DesignUnited States

Identifiers

PMID41134558
PMCPMC12752546

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.