Evidence map›Paper›PMID 38258310›Full record

ArticleHealth services research2024

Contextual factors influencing the association between the Affordable Care Act's Medicaid expansion and Veteran VA-Medicaid dual enrollment.

Patrick N O'Mahen, Chase S Eck, Cheng Rebecca Jiang, Laura A Petersen

Abstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
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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.

Patrick N O'MahenCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Veterans Health Administration, U.S. Department of Veterans' Affairs, Houston, Texas, USA.ORCID 0000-0002-2417-6057
Chase S EckCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Veterans Health Administration, U.S. Department of Veterans' Affairs, Houston, Texas, USA.ORCID 0000-0003-3824-5997
Cheng Rebecca JiangCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Veterans Health Administration, U.S. Department of Veterans' Affairs, Houston, Texas, USA.
Laura A PetersenCenter for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Veterans Health Administration, U.S. Department of Veterans' Affairs, Houston, Texas, USA.

Funding

Medicaid Expansion and Quality, Utilization and Coordination of Health Care for Veterans with Chronic Kidney DiseaseI01HX002975 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI LAURA A PETERSEN · 2021 to 2026
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Center for Innovations in Quality, Effectiveness, and Safety (IQuESt)I50HX001236 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI LAURA A PETERSEN · 2015 to 2026
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HSRD VA I01 HX002975HSRD VA I01 HX003868HSRD VA I50 HX001236
6 · The paper itself

Abstract

objectiveTo evaluate changes in dual enrollment after Affordable Care Act Medicaid expansion by VA priority group, (e.g., service connection), sex, and type of state expansion. STUDY

settingOur cohort was all Veterans ages 18-64 enrolled in VA and eligible for benefits due to military service-connection or low income from 2011 to 2016; the unit of analysis was person-year. STUDY

designDifference-in-difference and event-study analysis. The outcome was dual VA-Medicaid enrollment for at least 1 month annually. Medicaid expansion, VA priority status, whether a state expanded by a Section 1115 waiver, and sex were independent variables. We controlled for race, ethnicity, age, disease burden, distance to VA facilities, state, and year. DATA EXTRACTION

methodsWe used data from the VA Corporate Data Warehouse (CDW) regarding age and VA Priority Group to select our cohort of VA-enrolled individuals. We then took the cohort and crossed checked it with Medicaid Analytic Extract (MAX) and T-MSIS Analytic Files (TAF) to determine Medicaid enrollment status. PRINCIPAL

findingsService-connected Veterans experienced lower dual-enrollment increases across all sex and state-waiver groups (3.44 percentage points (95% CI: 1.83, 5.05 pp) for women, 3.93 pp (2.98, 4.98) for men, 4.06 pp (2.85, 5.27) for non-waiver states, and 3.00 pp (1.58 to 4.41) for waiver states) than Veterans who enrolled in the VA due to low income (8.19 pp (5.43, 10.95) for women, 9.80 pp (7.06, 12.54) for men, 10.21 pp (7.17, 13.25) for non-waiver states, and 7.39 pp (5.28, 9.50) for waiver states).

conclusionsMedicaid expansion is associated with dual enrollment. Dual-enrollment changes are greatest in those enrolled in the VA due to low income, but do not differ by sex or expansion type. Results can help VA identify groups disproportionately likely to have potential care-coordination issues due to usage of multiple health care systems.

Indexed as

MedicaidPatient Protection and Affordable Care ActUnited States Department of Veterans AffairsVeteransAdolescentAdultFemaleHumansInsurance CoverageMaleMiddle AgedPovertySex FactorsUnited StatesYoung Adultaffordable care actMedicaidMedicaid waiversVeterans Health Administrationwomen

Identifiers

PMID38258310
PMCPMC11063093

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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.