Evidence map›Paper›PMID 29471926›Full record

ArticleJournal of substance abuse treatment2018

Do benefits restrictions limit Medicaid acceptance in addiction treatment? Results from a national study.

Christina M Andrews, Colleen M Grogan, Melissa A Westlake, Amanda J Abraham, Harold A Pollack, Thomas A D'Aunno, Peter D Friedmann

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Medicaid Expansion and Low-Income Adults with Substance Use Disorders.The journal of behavioral health services & research · 2021
    Article
  11. Article
  12. Observational
  13. Availability of Medications for the Treatment of Alcohol and Opioid Use Disorder in the USA.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. A Public Health Strategy for the Opioid Crisis.Public health reports (Washington, D.C. : 1974)
    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

7 authors.

Christina M AndrewsCollege of Social Work, University of South Carolina, 1512 Pendleton Street, Hamilton 309, Columbia, SC 29208, United States. Electronic address: candrews@mailbox.sc.edu.
Colleen M GroganSchool of Social Service Administration, University of Chicago, 969 E. Sixtieth Street, Chicago, IL 60637, United States. Electronic address: cgrogan@uchicago.edu.
Melissa A WestlakeCollege of Social Work, University of South Carolina, 1512 Pendleton Street, Hamilton 101, Columbia, SC 29208, United States. Electronic address: mull@mailbox.sc.edu.
Amanda J AbrahamSchool of Public and International Affairs, University of Georgia, Baldwin 202A, 204 Hall Street, Athens, GA 30602, United States. Electronic address: aabraham@uga.edu.
Harold A PollackSchool of Social Service Administration, University of Chicago, 969 E. Sixtieth Street, Chicago, IL 60637, United States. Electronic address: haroldp@uchicago.edu.
Thomas A D'AunnoRobert F. Wagner Graduate School of Public Service, New York University, 295 Lafayette Street, Room 3062, New York, NY 10012, United States. Electronic address: tdaunno@nyu.edu.
Peter D FriedmannUniversity of Massachusetts Medical School Baystate, 280 Chestnut Street, Springfield, MA 01199, United States. Electronic address: peter.friedmannmd@baystatehealth.org.

Funding

Impact of health reform on outpatient substance abuse treatment programsR01DA034634 · NIDA · RHODE ISLAND HOSPITAL · PI FRIEDMANN, PETER D · 2013 to 2017
$4.0M
NIDA NIH HHS R01 DA034634
6 · The paper itself

Abstract

objectiveTo assess the relationship of restrictions on Medicaid benefits for addiction treatment to Medicaid acceptance among addiction treatment programs. DATA SOURCES: We collected primary data from the 2013-2014 wave of the National Drug Abuse Treatment System Survey. STUDY

designWe created two measures of benefits restrictiveness. In the first, we calculated the number of addiction treatment services covered by each state Medicaid program. In the second, we calculated the total number of utilization controls imposed on each service. Using a mixed-effects logistic regression model, we estimated the relationship between state Medicaid benefit restrictiveness for addiction treatment and adjusted odds of Medicaid acceptance among addiction treatment programs. DATA COLLECTION: Study data come from a nationally-representative sample of 695 addiction treatment programs (85.5% response rate), representatives from Medicaid programs in forty-seven states and the District of Columbia (response rate 92%), and data collected by the American Society for Addiction Medicine. PRINCIPAL

findingsAddiction treatment programs in states with more restrictive Medicaid benefits for addiction treatment had lower odds of accepting Medicaid enrollees (AOR = 0.65; CI = 0.43, 0.97). The predicted probability of Medicaid acceptance was 35.4% in highly restrictive states, 48.3% in moderately restrictive states, and 61.2% in the least restrictive states.

conclusionsAddiction treatment programs are more likely to accept Medicaid in states with less restrictive benefits for addiction treatment. Program ownership and technological infrastructure also play an important role in increasing Medicaid acceptance.

Indexed as

Patient Acceptance of Health CareHumansMedicaidPublic PolicySubstance Abuse Treatment CentersSubstance-Related DisordersUnited StatesAddiction treatmentHealth policyMedicaid

Identifiers

PMID29471926
PMCPMC5826552

What OpenQuestion holds

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Registered trials

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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.