Evidence map›Paper›PMID 31710152›Full record

ArticleThe Milbank quarterly2019

State Legislators' Support for Behavioral Health Parity Laws: The Influence of Mutable and Fixed Factors at Multiple Levels.

Jonathan Purtle, Félice Lê-Scherban, X I Wang, Paul T Shattuck, Enola K Proctor, Ross C Brownson

Abstract read
In one paragraph

Article in The Milbank quarterly, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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16citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jonathan PurtleDornsife School of Public Health, Drexel University.
Félice Lê-ScherbanDornsife School of Public Health, Drexel University.
X I WangPolicyLab, Children's Hospital of Philadelphia.
Paul T ShattuckDornsife School of Public Health, Drexel University.
Enola K ProctorCenter for Mental Health Services Research, Brown School at Washington University in St. Louis.
Ross C BrownsonPrevention Research Center in St. Louis, Brown at Washington University in St. Louis.

Funding

Audience Research to Disseminate Mental Health Evidence to PolicymakersR21MH111806 · NIMH · DREXEL UNIVERSITY · PI PURTLE, JONATHAN · 2016 to 2017
$430k
NIMH NIH HHS R21 MH111806NIMH NIH HHS R21MH111806
6 · The paper itself

Abstract

Policy Points When communicating with state legislators, advocates for state behavioral health parity laws should emphasize that the laws do not increase insurance premiums. Legislators' opinions about the impacts of state behavioral health parity laws and the effectiveness of behavioral health treatment have more influence on support for the laws than do their political party affiliation or state-level contextual factors. Reducing legislators' stigma toward people with mental illness could increase their support for state behavioral health parity laws CONTEXT: Comprehensive state behavioral health parity legislation (C-SBHPL) is an evidence-based policy that improves access and adherence to behavioral health treatments. However, adoption of C-SBHPL by state legislators is low. Little is known about how C-SBHPL evidence might be most effectively disseminated to legislators or how legislators' fixed characteristics (eg, ideology), mutable characteristics (eg, beliefs about the policy's impact), and state-level contextual factors might influence their support for behavioral health policies. The purpose of our study is (1) to describe the associations between legislators' fixed and mutable characteristics, state-level contextual factors, and support for C-SBHPL; and (2) to identify the mutable characteristics of legislators independently associated with C-SBHPL support.

methodsWe conducted a multimodal (post mail, email, telephone) survey of US state legislators in 2017 (N = 475). The dependent variable was strong support for C-SBHPL, and the independent variables included legislators' fixed and mutable characteristics and state-level contextual factors. We conducted multivariable, multilevel (legislator, state) logistic regression.

findingsThirty-nine percent of the legislators strongly supported C-SBHPL. After adjustment, the strongest predictors of C-SBHPL support were beliefs that C-SBHPL increases access to behavioral health treatments (aOR = 5.85; 95% CI = 2.41, 14.20) and does not increase insurance premiums (aOR = 2.70; 95% CI = 1.24, 5.90). Stigma toward people with mental illness was inversely associated with support (aOR = 0.86; 95% CI = 0.78, 0.95). After adjustment, ideology was the only fixed characteristic significantly associated with support for C-SBHPL. State-level contextual factors did not moderate associations between mutable characteristics and support for C-SBHPL.

conclusionsLegislators' mutable characteristics are stronger predictors of C-SBHPL support than are most of their fixed characteristics and all state-level contextual factors, and thus should be targeted by dissemination efforts.

Indexed as

behavioral health parity lawsDisseminationlegislators

Identifiers

PMID31710152
PMCPMC6904266

What OpenQuestion holds

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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.