Evidence map›Paper›PMID 38369244›Full record

ArticleJournal of substance use and addiction treatment2024

Association of copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder.

Antonije Lazic, J Mick Tilford, Victor P Davis, Clare C Brown

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Antonije LazicFay W. Boozman College of Public Health, Department of Health Policy and Management, University of Arkansas for Medical Science, Little Rock, AR 72205, USA.
J Mick TilfordFay W. Boozman College of Public Health, Department of Health Policy and Management, University of Arkansas for Medical Science, Little Rock, AR 72205, USA.
Victor P DavisActuarial Services & Enterprise Underwriting, Arkansas Blue Cross Blue Shield, Little Rock, AR 72201, USA.
Clare C BrownFay W. Boozman College of Public Health, Department of Health Policy and Management, University of Arkansas for Medical Science, Little Rock, AR 72205, USA. Electronic address: ccbrown@uams.edu.

Funding

Weight Loss and Maintenance for Rural, African American Communities of FaithP20MD002329 · NIMHD · UNIV OF ARKANSAS FOR MED SCIS · PI YEARY, KAREN HYE-CHEON KIM · 2007 to 2016
$11.3M
The role of prisons in community spread of COVID-19: Disparate epidemiologic profiles in rural, racial/ethnic minority, and low socioeconomic US countiesU54MD002329 · NIMHD · UNIV OF ARKANSAS FOR MED SCIS · PI RACZYNSKI, JAMES M · 2017 to 2022
$7.7M
Expanding Translational Research in ArkansasU54TR001629 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2017 to 2017
$3.5M
Arkansas Center for Health Disparities T32 Pre-doctoral Research Training ProgramT32MD015016 · NIMHD · UNIV OF ARKANSAS FOR MED SCIS · PI Jonathan Bona, JOHN M TILFORD · 2020 to 2026
$1.3M
Algorithmic fairness in predictive models to eliminate disparities in adverse infant outcomes: A case for raceK01MD018072 · NIMHD · UNIV OF ARKANSAS FOR MED SCIS · PI BROWN, CLARE C · 2022 to 2025
$496k
NCATS NIH HHS U54 TR001629NIMHD NIH HHS K01 MD018072NIMHD NIH HHS P20 MD002329NIMHD NIH HHS T32 MD015016NIMHD NIH HHS U54 MD002329
6 · The paper itself

Abstract

backgroundThe purpose of this study was to examine the association between copayments and healthcare utilization and expenditures among Medicaid enrollees with substance use disorders.

methodsThis study used claims data (2020-2021) from a private insurer participating in Arkansas's Medicaid expansion. We compared service utilization and expenditures for enrollees in different Medicaid program structures with varying copayments. Enrollees with incomes above 100 % FPL (N = 10,240) had copayments for substance use treatment services while enrollees below 100 % FPL (N = 2478) did not. Demographic, diagnostic, utilization, and cost information came from claims and enrollment information. The study identified substance use and clinical comorbidities using claims from July through December 2020 and evaluated utilization and costs in 2021. Generalized linear models (GLM) estimated outcomes using single equation and two-part modeling. A gamma distribution and log link were used to model expenditures, and negative binomial models were used to model utilization. A falsification test comparing behavioral health telemedicine utilization, which had no cost sharing in either group, assessed whether differences in the groups may be responsible for observed findings.

resultsSubstance use enrollees with copayments were less likely to have a substance use or behavioral health outpatient (-0.04 PP adjusted; p = 0.001) or inpatient visit (-0.04 PP; p = 0.001) relative to their counterparts without copayments, equal to a 17 % reduction in substance use or behavioral health outpatient services and a nearly 50 % reduction in inpatient visits. The reduced utilization among enrollees with a copayment was associated with a significant reduction in total expenses ($954; p = 0.001) and expenses related to substance use or behavioral health services ($532; p = 0.001). For enrollees with at least one behavioral health visit, there were no differences in outpatient or inpatient utilization or expenditures between enrollees with and without copayments. Copayments had no association with non-behavioral health or telemedicine services where neither group had cost sharing.

conclusionCopayments serve as an initial barrier to substance use treatment, but are not associated with the amount of healthcare utilization conditional on using services. Policy makers and insurers should consider the role of copayments for treatment services among enrollees with substance use disorders in Medicaid programs.

Indexed as

Health ExpendituresMedicaidPatient Acceptance of Health CareSubstance-Related DisordersAdolescentAdultArkansasCost SharingDeductibles and CoinsuranceFemaleHumansMaleMiddle AgedTelemedicineUnited StatesYoung AdultCopaymentsCost-sharingGeneralized linear modelingHealthcare accessSubstance use disordersTwo-part modeling

Identifiers

PMID38369244
PMCPMC11090739

What OpenQuestion holds

Textmetadata
LicenceTDM
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.