Evidence map›Paper›PMID 36112956›Full record

ArticleJournal of health politics, policy and law2023

Factors Affecting State-Level Enforcement of the Federal Mental Health Parity and Addiction Equity Act: A Cross-Case Analysis of Four States.

Rachel Presskreischer, Colleen L Barry, Adria K Lawrence, Alexander McCourt, Ramin Mojtabai, Emma E McGinty

Abstract read
In one paragraph

Article in Journal of health politics, policy and law, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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3 · Its place in the literature

Who cites it

15 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

6 authors.

Rachel PresskreischerColumbia University Mailman School of Public Health.
Colleen L BarryCornell Jeb E. Brooks School of Public Policy.
Adria K LawrenceJohns Hopkins University.
Alexander McCourtJohns Hopkins University.
Ramin MojtabaiJohns Hopkins University.
Emma E McGintyWeill Cornell Medical College.

Funding

Mental Health Services and Systems Training ProgramT32MH109436 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Matthew Eisenberg, Elizabeth A. Stuart · 2017 to 2026
$1.7M
NIMH NIH HHS T32 MH109436
6 · The paper itself

Abstract

contextThe Mental Health Parity and Addiction Equity Act (MHPAEA) requires coverage for mental health and substance use disorder (MH/SUD) benefits to be no more restrictive than for medical/surgical benefits in commercial health plans. State insurance departments oversee enforcement for certain plans. Insufficient enforcement is one potential source of continued MH/SUD treatment gaps among commercial insurance enrollees. This study explored state-level factors that may drive enforcement variation.

methodsThe authors conducted a four-state multiple-case study to explore factors influencing state insurance offices' enforcement of MHPAEA. They interviewed 21 individuals who represented state government offices, advocacy organizations, professional organizations, and a national insurer. Their analysis included a within-case content analysis and a cross-case framework analysis.

findingsCommon themes included insurance office relationships with other stakeholders, policy complexity, and political priority. Relationships between insurance offices and other stakeholders varied between states. MHPAEA complexity posed challenges for interpretation and application. Policy champions influenced enforcement via priorities of insurance commissioners, governors, and legislatures. Where enforcement of MHPAEA was not prioritized by any actors, there was minimal state enforcement.

conclusionsWithin a state, enforcement of MHPAEA is influenced by insurance office relationships, legal interpretation, and political priorities. These unique state factors present significant challenges to uniform enforcement.

Indexed as

Behavior, AddictiveMental Health ServicesSubstance-Related DisordersHumansInsurance CoverageInsurance, HealthMental HealthUnited Statesmental health parityregulatory enforcementstate health policy

Identifiers

PMID36112956
PMCPMC9938503

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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.