Evidence map›Paper›PMID 42101837›Full record

ArticleJAMA network open2026

Coverage Limitations for Use of Urine Drug Testing in a State Medicaid Program.

Michael A Incze, Sarah R Tingley, John Neuhaus, Marcus Bachhuber, S Amanda Dumas, Sanket S Dhruva, Rita F Redberg

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Michael A InczeDivision of General Internal Medicine, Department of Medicine, University of Utah School of Medicine, Salt Lake City.
Sarah R TingleyUniversity of California, San Francisco School of Medicine, San Francisco.
John NeuhausDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.
Marcus BachhuberCenter for Evidence-based Policy, Oregon Health & Science University, Portland.
S Amanda DumasCenter for Healthcare Value and Effectiveness, Section of Community and Population Medicine, School of Medicine, Louisiana State University Health Sciences Center-New Orleans, New Orleans.
Sanket S DhruvaUniversity of California, San Francisco School of Medicine, San Francisco.
Rita F RedbergUniversity of California, San Francisco School of Medicine, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Urine drug testing (UDT) is commonly used in substance use disorder (SUD) treatment. However, there is little evidence to guide optimal use of UDT and growing concern that some UDT may represent low-value care. Objective: To determine whether a statewide policy limiting Medicaid reimbursement for UDT is associated with testing frequency, expenditures, and clinical outcomes. Design, Setting, and Participants: This serial cross-sectional study was performed among Louisiana Medicaid beneficiaries between July 1, 2017, and February 29, 2020. Data were analyzed from November 1, 2024, to November 30, 2025. For each outcome, best-fit lines for pre-enactment trends were constructed and used to estimate postenactment trends, which were then compared with observed trends. The 3-way interaction of time by intervention period by outcome was analyzed to assess changes for each UDT utilization outcome compared with a matched control procedure (colonoscopy). Concomitant trends in overdose encounters and prescription of medications for opioid use disorder (MOUD) were also assessed. Exposure: Statewide policy limiting Medicaid reimbursement for UDT enacted in July 2019. Colonoscopy rates were used as a temporal comparison procedure. Main Outcomes and Measures: Outcomes included rates of monthly UDT (total, presumptive, and definitive) and expenditures per 1000 beneficiaries for 24 months before and 7 months after policy enactment. Results: The sample included a total of 900 678 unique Medicaid-eligible beneficiaries, 536 841 (59.6%) of whom were female and 606 012 (67.3%) were younger than 40 years. Following policy enactment, the monthly rate of change for total UDT utilization decreased from 0.67 (95% CI, 0.48- 0.85) to -1.03 (95% CI, -1.65 to -0.40) tests per month per 1000 beneficiaries (difference, -1.70 [95% CI, -2.34 to -1.06] tests per month per 1000 beneficiaries); presumptive UDT decreased from 0.42 (95% CI, 0.30-0.53) to -0.63 (95% CI, -0.92 to -0.35) tests per month per 1000 beneficiaries (difference, -1.05 [95% CI, -1.36 to -0.74] tests per month per 1000 beneficiaries); and definitive UDT decreased from 0.25 (95% CI, 0.17-0.34) to -0.39 (95% CI, -0.97 to 0.18) tests per month per 1000 beneficiaries (difference, -0.65 [95% CI, -1.23 to -0.07] tests per month per 1000 beneficiaries). These decreases were all statistically significant compared with colonoscopy (all P < .05). UDT expenditures also significantly decreased, totaling an estimated $14.8 million in savings during the 7-month postenactment period. The policy change was not associated with reduced MOUD receipt or increased overdose encounters. Conclusion and Relevance: In this cross-sectional study, a state policy limiting reimbursement for UDT was associated with significant reductions in UDT utilization and expenditures. Future research and policymaking should investigate ways to optimize UDT for patient health while reducing low-value care.

Indexed as

Insurance CoverageMedicaidSubstance Abuse DetectionCross-Sectional StudiesFemaleHumansLouisianaMaleUnited States

Identifiers

PMID42101837
PMCPMC13156783

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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.