Evidence map›Paper›PMID 34312839›Full record

ArticleHealth services research2021

Use of behavioral health care in Medicaid managed care carve-out versus carve-in arrangements.

Christina J Charlesworth, Jane M Zhu, Marcela Horvitz-Lennon, K John McConnell

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Substance use disorder treatment carve outs in Medicaid managed care.Journal of substance use and addiction treatment · 2024
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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

4 authors at 2 institutions in 1 country.

Christina J CharlesworthCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland, Oregon, USA.
Jane M ZhuDivision of General Internal Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Marcela Horvitz-LennonRAND Corporation, Cambridge Heath Alliance and Harvard Medical School, Boston, Massachusetts, USA.
K John McConnellCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0003-1280-3196
Oregon Health & Science University · USCambridge Health Alliance · US

Funding

Medicaid Value Based Payment Models and Healthcare Equity for Adults with Serious Mental IllnessesR01MH122199 · NIMH · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE, HORVITZ-LENNON, MARCELA V · 2020 to 2023
$2.9M
The Effects of Statewide Comprehensive Integrated Care for Medicaid Enrollees.R01MH123416 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI MCCONNELL, KENNETH JOHN · 2020 to 2023
$2.8M
Evaluating health disparities among likely transgender persons in OregonR01MD011212 · NIMHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI MCCONNELL, KENNETH JOHN · 2016 to 2019
$2.5M
Mental Health Provider Networks in Medicaid and Implications for Care Utilization and Health OutcomesK08MH123624 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI ZHU, JANE MINGJIA · 2020 to 2023
$756k
NIMHD NIH HHS R01 MD011212NIMH NIH HHS K08 MH123624NIMH NIH HHS R01 MH122199NIMH NIH HHS R01 MH123416
6 · The paper itself

Abstract

objectiveTo evaluate differences in access to behavioral health services for Medicaid enrollees covered by a Medicaid entity that integrated the financing of behavioral and physical health care ("carve-in group") versus a Medicaid entity that separated this financing ("carve-out group"). DATA SOURCES/STUDY

settingMedicaid claims data from two Medicaid entities in the Portland, Oregon tri-county area in 2016. STUDY

designIn this cross-sectional study, we compared differences across enrollees in the carve-in versus carve-out group, using a machine learning approach to incorporate a large set of covariates and minimize potential selection bias. Our primary outcomes included behavioral health visits for a variety of different provider types. Secondary outcomes included inpatient, emergency department, and primary care visits. DATA COLLECTION: We used Medicaid claims, including adults with at least 9 months of enrollment. PRINCIPAL

findingsThe study population included 45,786 adults with mental health conditions. Relative to the carve-out group, individuals in the carve-in group were more likely to access outpatient behavioral health (2.39 percentage points, p < 0.0001, with a baseline rate of approximately 73%). The carve-in group was also more likely to access primary care physicians, psychologists, and social workers and less likely to access psychiatrists and behavioral health specialists. Access to outpatient behavioral health visits was more likely in the carve-in arrangement among individuals with mild or moderate mental health conditions (compared to individuals with severe mental illness) and among black enrollees (compared to white enrollees).

conclusionsFinancial integration of physical and behavioral health in Medicaid managed care was associated with greater access to behavioral health services, particularly for individuals with mild or moderate mental health conditions and for black enrollees. Recent changes to incentivize financial integration should be monitored to assess differential impacts by illness severity, race and ethnicity, provider types, and other factors.

Indexed as

ContractsAdolescentAdultCross-Sectional StudiesFemaleHealth Care RationingHealth Services AccessibilityHumansMaleManaged Care ProgramsMedicaidMental Health ServicesMiddle AgedOregonPrimary Health CareReferral and Consultationmanaged careMedicaidmental health

Identifiers

PMID34312839
PMCPMC8522561
OpenAlexW3184280352

What OpenQuestion holds

Textmetadata
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.