Evidence map›Paper›PMID 40152874›Full record

ArticleJAMA health forum2025

Characteristics and Benefit Design of Veteran Medicare Advantage Affinity Plans.

Allison Dorneo, Yanlei Ma, Melissa M Garrido, Steven D Pizer, Paul R Shafer, Thomas C Tsai, Austin B Frakt, Jose F Figueroa

Abstract read
In one paragraph

Article in JAMA health forum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Allison DorneoDepartment of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts.
Yanlei MaDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Melissa M GarridoDepartment of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts.
Steven D PizerDepartment of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts.
Paul R ShaferDepartment of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts.
Thomas C TsaiDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Austin B FraktBoston VA Healthcare System, Boston, Massachusetts.
Jose F FigueroaDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Funding

Harvard Clinical and Translational Science CenterUM1TR004408 · NCATS · HARVARD MEDICAL SCHOOL · PI Lindsey Robert Baden, Lee Marshall Nadler · 2023 to 2026
$43.3M
NCATS NIH HHS UM1 TR004408
6 · The paper itself

Abstract

Importance: Recently, there has been an emergence of veteran Medicare Advantage affinity plans (VMAPs) marketing to veterans, including those dually covered by the Veterans Health Administration (VHA). To date, limited evidence exists characterizing what benefits VMAPs offer and their veteran enrollees. Objective: To examine plan-level differences between VMAPs and other Medicare Advantage (MA) plans and characteristics of their veteran enrollees. Design, Setting, and Participants: This cross-sectional study compared the plan benefit design, supplemental benefit offerings, and veteran enrollee characteristics of all VMAP and other MA plan enrollees in 2022 using standardized mean differences (SMDs). VMAPs were identified based on military-associated words in their plan name and further validated through a web-based search. Data were analyzed from April 2023 to August 2024. Exposure: VMAP designation. Main Outcomes and Measures: Plan-level characteristics, supplemental benefits, and veteran enrollee characteristics. Results: The sample included 188 VMAPs with 179 449 veteran enrollees and 3442 other MA plans with 954 581 veteran enrollees. A total of 1 088 938 (96.0%) were male, 3558 (0.3%) were American Indian or Alaska Native, 8845 (0.8%) were Asian or Pacific Islander, 162 934 (14.4%) were Black, 61 264 (5.4%) were Hispanic, and 876 234 (77.3%) were White; the mean (SD) age was 75.9 (8.6) years. Most VMAPs were administered by for-profit insurers (173 [92.0%]; SMD, 0.42), including Aetna (46 [24.9%]), Humana (36 [19.5%]), and United HealthCare (49 [26.5%]). Compared with veterans in other MA plans, veterans in VMAPs were slightly younger (mean [SD] age, 73.7 [8.0] years vs 76.3 [8.7] years; SMD, 0.31), more likely to be Black (34 837 [19.4%] vs 128 097 [13.4%]; SMD, 0.18), and more likely to have zero cost sharing for VHA services (ie, priority group 1) (62 056 [34.6%] vs 195 688 [20.5%]; SMD, 0.40). VMAPs were more likely than other MA plans to offer $0 plan premiums (186 [98.9%] vs 2064 [60.0%]; SMD, 1.10), and Medicare Part B premium reductions (140 [74.5%] vs 298 [8.7%]; SMD, 1.80), averaging $33 more in cash back benefits. Only 1 VMAP offered Medicare Part D coverage compared with most other MA plans (1 [0.5%] vs 3293 [95.7%]; SMD, 6.23). VMAPs were more likely than other MA plans to provide comprehensive dental coverage (179 [95.2%] vs 3006 [87.3%]; SMD, 0.28), hearing aids (184 [97.9%] vs 3012 [87.5%]; SMD, 0.40), eyewear (188 [100%] vs 3620 [94.7%]; SMD, 0.33), over-the-counter drug coverage (179 [95.2%] vs 2831 [82.2%]; SMD, 0.42), and meal benefits (151 [80.3%] vs 2348 [68.2%]; SMD, 0.28). Conclusions and Relevance: This study found that MA insurers-specifically VMAPs-engaged in targeted marketing to veterans, offering $0 premiums, cash back benefits, and supplemental benefits. However, nearly all VMAPs excluded Medicare Part D, likely designed to attract veteran enrollees who use VHA care, making them low-cost enrollees to the plan. Since the VHA cannot bill plans for Medicare-covered services, VMAPs may be increasing wasteful federal spending.

Indexed as

Insurance BenefitsMedicare Part CVeteransAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID40152874
PMCPMC11953753

What OpenQuestion holds

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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.