Evidence map›Paper›PMID 41249979›Full record

ArticleBMC public health2025

Demographic and socioeconomic factors influencing the adoption of telehealth services for substance use treatment.

Fares Qeadan, Sydney Shimizu, Rose Thornquist, Talar Markossian

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Fares QeadanParkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Ave, Maywood, IL, 60153, USA. fqeadan@luc.edu.
Sydney ShimizuParkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Ave, Maywood, IL, 60153, USA.
Rose ThornquistParkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Ave, Maywood, IL, 60153, USA.
Talar MarkossianParkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Ave, Maywood, IL, 60153, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic accelerated the adoption of telehealth (TH) for substance use disorder (SUD) treatment, but disparities in TH access remain. Using data from the 2021 and 2022 National Survey on Drug Use and Health (NSDUH), we analyzed demographic and socioeconomic predictors of TH utilization among adults receiving SUD treatment. It should be noted that NSDUH 2021 and NSDUH 2022 are not comparable for the aims of the current study due to necessary changes to substance use treatment survey questions. In 2021, educational attainment showed a strong dose-response association with TH use. By 2022, significant disparities emerged based on age, race/ethnicity, insurance type, and employment status. Non-Hispanic Black and Non-Hispanic Asian/Hawaiians/Pacific Islanders individuals had significantly lower odds of receiving TH care, compared to non-Hispanic Whites, while Medicaid users had higher odds than those with private insurance. Our findings indicate that TH use for SUD treatment is shaped by evolving structural determinants. To promote equitable access, public health policies must address digital divides, improve cultural competence, and support infrastructure expansion. Targeted strategies are essential to avoid deepening existing inequities in SUD care.

Indexed as

Healthcare DisparitiesSubstance-Related DisordersTelemedicineAdolescentAdultAgedCOVID-19EthnicityFemaleHealth Services AccessibilityHumansMaleMiddle AgedRacial GroupsSociodemographic FactorsSocioeconomic FactorsCOVID-19NSDUHSubstance use disorderSUD treatmentTelehealth

Identifiers

PMID41249979
PMCPMC12625003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.