Evidence map›Paper›PMID 40089385›Full record

ArticleSubstance use & misuse2025

Telehealth Disparities in Outpatient Substance Use Disorder (SUD) Treatment among Medicaid Beneficiaries during COVID-19.

Sugy Choi, Shazia Hussain, Yichuan Wang, Thomas D'Aunno, Tod Mijanovich, Charles J Neighbors

Abstract read
In one paragraph

Article in Substance use & misuse, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. State Medicaid Telehealth Policies and Rates of Alcohol and Substance Use Treatment at Federally Qualified Health Centers: Does Modality Matter?Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2026
    Article
  3. Article
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

6 authors.

Sugy ChoiDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-5549-2861
Shazia HussainNew York State Office of Addiction Services and Supports (OASAS), Albany, New York, USA.
Yichuan WangNew York State Office of Addiction Services and Supports (OASAS), Albany, New York, USA.
Thomas D'AunnoNew York University Wagner School of Public Policy, New York, New York, USA.
Tod MijanovichEducation, and Human Development, New York University Steinhardt School of Culture, New York, New York, USA.
Charles J NeighborsDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, USA.

Funding

Addictions treatment organizational response to COVID-19: impact on disparities in quality of careR01DA054141 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHARLES J NEIGHBORS · 2022 to 2026
$3.6M
NIDA NIH HHS R01 DA054141
6 · The paper itself

Abstract

backgroundWe investigated racial and ethnic disparities in telehealth counseling among Medicaid-insured patients in outpatient substance use disorder (SUD) treatment clinics and assessed whether the clinic-level proportion of Medicaid-insured patients moderated these disparities.

methodsUsing New York State (NYS) Medicaid and statewide treatment registry data, we analyzed 24,814 admission episodes across 399 outpatient SUD clinics during the first 6 months of COVID-19 (April-September 2020). Our outcome measure was the number of tele-counseling sessions within the first 90 days of treatment. Key independent variables included beneficiary race/ethnicity and the clinic-level proportion of Medicaid-insured patients, divided into four quartiles: lowest, second, third, and highest. Mixed effects negative binomial models assessed the associations between race/ethnicity, Medicaid proportions, and telehealth use, with interaction terms evaluating the moderating role of Medicaid proportions.

resultsBlack and Latinx patients received fewer telehealth sessions than non-Latinx White patients, with adjusted incidence rate ratios (aIRRs) of 0.86 (95% CI: 0.82, 0.91) for Black patients and 0.93 (95% CI: 0.88, 0.98) for Latinx patients. Black patients at clinics with the highest Medicaid proportions had higher telehealth usage rates compared to those at clinics with the lowest Medicaid proportions (aIRR, 1.20; 95% CI, 1.03-1.41). Patients in clinics with the highest Medicaid proportions were more likely to use individual telehealth counseling (aIRR, 1.02-1.88; 95% CI, 1.01-3.04).

conclusionsSignificant racial disparities in telehealth use exist, with variations persisting across clinics with different Medicaid proportions. Targeted interventions are needed to address these access gaps.

Indexed as

Ambulatory CareHealthcare DisparitiesMedicaidSubstance-Related DisordersTelemedicineAdultBlack or African AmericanCOVID-19FemaleHispanic or LatinoHumansMaleMiddle AgedNew YorkOutpatientsUnited StatescounselingMedicaidoutpatient clinicsracial disparitiessubstance use disordertelehealth

Identifiers

PMID40089385
PMCPMC11999779

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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.