Evidence map›Paper›PMID 30676994›Full record

ArticleThe journal of mental health policy and economics2018

Higher Benefit for Greater Need: Understanding Changes in Mental Well-being of Young Adults Following the ACA Dependent Coverage Mandate.

Dan M Shane, George L Wehby

Abstract readComparative Study
In one paragraph

Article in The journal of mental health policy and economics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 11% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. The Affordable Care Act and Recent Reforms: Policy Implications for Equitable Mental Health Care Delivery.Health care analysis : HCA : journal of health philosophy and policy · 2020
    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

2 authors at 1 institution in 1 country.

Dan M ShaneUniversity of Iowa, Department of Health Management and Policy, 145 N. Riverside Drive, Iowa City, IA 52242, USA, dan-shane@uiowa.edu.
George L Wehby
University of Iowa · US

Funding

Insurance coverage effects on access to mental health services and outcomesR21MH115253 · NIMH · UNIVERSITY OF IOWA · PI SHANE, DAN M · 2018 to 2019
$372k
NIMH NIH HHS R21 MH115253
6 · The paper itself

Abstract

backgroundBeginning in late 2010, private health insurance plans were required to allow dependents up to age 26 to remain on a parent's plan. Known as the dependent coverage or young adult mandate, this provision increased coverage substantially within the group of 19-25 year-olds affected by the policy change. Subsequent work evaluating whether increased coverage had a positive effect on mental health found mild improvements in self-reported mental health. This work focused exclusively on average effects among young adults in the years after the policy change, leaving open the question of how young adults fared depending on where they reside in terms of the distribution of risk for mental health issues. AIMS OF THE STUDY: We assess the effects of the dependent coverage mandate on young adult mental well-being focusing on the distribution of mental health issues. We seek to understand how potential improvements (or degradations) differ across the entire risk profile. Gains among individuals who are at low risk for severe mental health issues may send a far different signal than gains among those with higher risks.

methodsUsing MEPS data from 2006 through 2013, we use quantile regression within a difference-in-differences design to compare pre/post outcomes across the distribution of risk for young adults ages 23-25 affected by the mandate to 27-29 year-olds not affected by the mandate. Further, we evaluate differences in the effect of the mandate by sex, given well-known disparities in incidence and prevalence of mental illness between men and women. To gauge the effects of the mandate on mental health, we use the Mental Component Score measure within the MEPS, ideal for our quantile regression given the broad range of scores. The key premise in our evaluation is that individuals with higher risks for mental health problems due to biological or socioeconomics factors are more likely to rank at locations of the mental health score distribution indicating worse outcomes.

resultsWe find significant improvements in self-reported mental health in the 23-25 year-old group following the mandate. However, the gains were not equal across the risk distribution. For individuals at the 0.1 quantile (worse self-reported mental health), the improvement in MCS scores was significant, a 6.1% increase compared to the pre-mandate baseline at that quantile. Effects were smaller but still significant at the median but there was no apparent effect for those that were at higher levels of self-reported mental health. Our results also suggest improvements for women (+9% relative to baseline at the 0.1 quantile, e.g.) but limited evidence of an effect for men. IMPLICATIONS FOR FUTURE RESEARCH: The finding that increased insurance coverage led to improved self-reported mental health foremost for young adults with the highest risk of mental health problems is encouraging. However, the mechanism for this effect is unclear and in need of further study. Whether improvements in the mental health status of the population depend more on increased access to services or derive primarily from improved financial security is an important research area.

Indexed as

AdultCross-Sectional StudiesFemaleHealth Services Needs and DemandHumansInsurance BenefitsInsurance CoverageMaleOutcome Assessment, Health CarePatient Protection and Affordable Care ActPersons with Psychiatric DisordersQuality of LifeSex FactorsUnited StatesYoung Adult

Identifiers

PMID30676994
PMCPMC6398336
OpenAlexW3021292088

What OpenQuestion holds

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LicenceTDM
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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.