Evidence map›Paper›PMID 32540516›Full record

ArticleThe International journal on drug policy2020

Factors associated with state legislators' support for opioid use disorder parity laws.

Katherine L Nelson, Jonathan Purtle

Abstract read
In one paragraph

Article in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

2 authors.

Katherine L NelsonDepartment of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States; Urban Health Collaborative, Drexel University, Philadelphia, PA, United States. Electronic address: kml383@drexel.edu.
Jonathan PurtleDepartment of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States.

Funding

National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOAGWOOD, KIMBERLY E. · 2019 to 2022
$6.9M
Audience Research to Disseminate Mental Health Evidence to PolicymakersR21MH111806 · NIMH · DREXEL UNIVERSITY · PI PURTLE, JONATHAN · 2016 to 2017
$430k
NIMH NIH HHS P50 MH113662NIMH NIH HHS R21 MH111806
6 · The paper itself

Abstract

backgroundIn the United States, state behavioral health parity laws play a crucial role in ensuring equitable insurance coverage and access to substance use disorder treatment and services for people that need them. State legislators have the exclusive authority to adopt these laws. The purpose of this study was to identify legislator beliefs independently associated with "strong support" for opioid use disorder (OUD) parity.

methodsData were from a 2017 cross-sectional, state-stratified, multi-modal survey of state legislators (N = 475). The dependent variable was "strong support" for OUD parity. Primary independent variables were beliefs about state parity laws. Bivariate analyses and mixed effects logistic regression were conducted.

resultsLegislators who "strongly supported" OUD parity were significantly more likely than legislators who did not "strongly support" OUD parity to be female (64.1% vs. 46.5%, p<.001) , Democrat (76.2% vs. 29.3%, p<.001), and have liberal, compared to conservative, ideology (85.6% vs. 27.1%, p<.001). After adjusting for legislator demographics and state-level covariates, beliefs such as agreeing that state parity laws do not increase health insurance premium costs (aOR=6.77, p<.01) and that substance use disorder treatments can be effective (aOR=5.00, p<.001) remained associated with "strong support" for OUD parity. These state legislators' beliefs were more strongly associated with "strong support" for OUD parity than political party, ideology, and other demographic and state-level characteristics.

conclusionsDissemination materials and communication strategies to cultivate support for OUD parity laws among state legislators should focus on the fiscal impacts of parity laws and the effectiveness of substance use disorder treatments.

Indexed as

Opioid-Related DisordersPoliticsCross-Sectional StudiesFemaleHumansLogistic ModelsUnited StatesBehavioral health parity lawsOpioid use disorderState legislators

Identifiers

PMID32540516
PMCPMC7483853

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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.