Evidence map›Paper›PMID 35584242›Full record

ArticleHealth services research2022

Effects of Medicaid coverage on receipt of tobacco dependence treatment among Medicaid beneficiaries with substance use disorder.

Sadiq Y Patel, Geoffrey F Wayne, Ana M Progovac, Michael Flores, Margo Moyer, Brian Mullin, Douglas Levy, Brendan Saloner, Benjamin Lê Cook

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2022. 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
0.4field-weighted citation impact, top 43% of its field
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, 3 citations in OpenAlex.

  1. Observational
  2. 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

9 authors at 3 institutions in 1 country.

Sadiq Y PatelDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-4042-1515
Geoffrey F WayneDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts, USA.
Ana M ProgovacDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts, USA.
Michael FloresDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts, USA.
Margo MoyerDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts, USA.
Brian MullinDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts, USA.
Douglas LevyDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-9446-7899
Brendan SalonerDepartment of Health Policy and Management, Johns Hopkins School of Public Health, Baltimore, Maryland, USA.
Benjamin Lê CookDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts, USA.
Cambridge Health Alliance · USHarvard University · USBloomberg (United States) · US

Funding

Health Policy Training Program: Promoting Outcomes, Quality, Equity and Diffusion of AdvancesT32MH019733 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Benjamin Le Cook, Haiden A Huskamp · 1993 to 2026
$7.0M
Impact of State Policies on Smoking among Individuals with Substance Use DisorderR01CA229355 · NCI · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE · 2019 to 2022
$2.0M
NCI NIH HHS R01 CA229355NIMH NIH HHS T32 MH019733
6 · The paper itself

Abstract

objectiveIndividuals with substance use disorder (SUD) smoke cigarettes at a rate that is more than double the rate of the general population. Tobacco dependence treatment (TDT) is effective at reducing smoking, yet it is unclear whether expanding insurance coverage of these services increases TDT use among Medicaid beneficiaries with SUD. DATA SOURCE: 2009-2013 Medicaid data in all 50 states and Washington DC. STUDY

designWe conducted a retrospective analysis of the 2009-2013 de-identified Medicaid Analytic Extract (MAX) claims for a 100% national sample of fee-for-service (FFS) Medicaid adult beneficiaries. Using a difference-in-difference-in-differences analysis, we assessed the association of full TDT coverage on TDT medication use and tobacco cessation counseling services between beneficiaries with and without SUD. We adjusted for age, sex, race/ethnicity, diagnosis of co-occurring chronic illness, state tobacco taxes, and state and year fixed effects. DATA COLLECTION/EXTRACTION

methodsWe excluded patients not continuously enrolled in Medicaid for 12 months during the calendar year, adults aged 65 and older (given their dual enrollment in Medicaid and Medicare), minors aged 12-17, and pregnant women (for whom different TDT coverage policies apply). PRINCIPAL

findingsWe separately modeled the association between full coverage of (1) counseling, (2) over-the-counter nicotine replacement therapy, and (3) prescription cessation medications on TDT medication treatment and counseling services. We found that each coverage led to increases in any TDT medication treatment and counseling services for beneficiaries with SUD. The effects of each coverage on medication treatment were greater for beneficiaries with SUD compared to beneficiaries without SUD (ranging from 4.9 to 6.1 percentage point difference).

conclusionCoverage of tobacco cessation counseling, over-the-counter nicotine replacement therapy, and prescription cessation medications holds promise for reducing the wide disparities in rates of smoking between those with and without SUD.

Indexed as

Smoking CessationTobacco Use DisorderAdultAgedFemaleHumansInsurance CoverageMedicaidMedicarePregnancyRetrospective StudiesTobacco Use Cessation DevicesUnited StatesMedicaidsubstance use disorder (SUD)TDT coveragetobacco dependence treatment (TDT)tobacco use

Identifiers

PMID35584242
PMCPMC9643088
OpenAlexW4280588764

What OpenQuestion holds

Textmetadata
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.