Evidence map›Paper›PMID 42627656›Full record

ArticleJAMA health forum2026

Medicare Advantage Beneficiary Enrollment Decisions Following New Complex Conditions.

Mark K Meiselbach, Jianhui Xu, Teneil Brown, Daniel Polsky

Abstract read
In one paragraph

Article in JAMA health forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mark K MeiselbachDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Jianhui XuDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Teneil BrownDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Daniel PolskyDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Prior research has demonstrated higher rates of disenrollment from Medicare Advantage (MA) among people with greater health care needs. Yet, less is known about how disenrollment responds to changes in medical complexity, whether disenrollment varies by the degree of complexity, and how these patterns differ by state Medigap protections and MA plan characteristics. Objective: To examine changes in MA plan disenrollment following the development of new complex medical conditions and assess heterogeneity by number of conditions, state Medigap policy, and plan characteristics. Design, Setting, and Participants: This cohort study used Medicare enrollment and claims data from 2016 to 2021. The study population included beneficiaries continuously enrolled in MA in 2016 without complex medical conditions from 2016 through 2018. A treatment group developed a new complex condition in 2019; a comparison group did not develop a complex condition through 2021. Data were analyzed from December 1, 2025, to March 1, 2026. Exposure: Development of 1 or more new complex medical conditions in 2019, including acute myocardial infarction, Alzheimer disease and related dementia, atrial fibrillation, chronic kidney disease, chronic obstructive pulmonary disease, depression, congestive heart failure, or stroke. Main Outcomes and Measures: Annual disenrollment from the prior year MA plan, which included disenrollment to traditional Medicare (TM) or switching to another plan within MA. Difference-in-differences models with beneficiary and year fixed effects were estimated and converted to differences in percentage points. Results: The analytic sample included 1 054 926 beneficiaries, including 219 942 (mean [SD] age, 75.3 [6.3] years; 54.6% female) who developed new complex conditions in 2019 and 834 984 (mean [SD] age, 73.8 [5.6] years; 56.7% female) who did not develop a new complex condition in 2019. Developing any new complex condition was associated with an increase of 3.3 (95% CI, 3.1-3.5) percentage points (pp) in MA disenrollment, including an increase of 2.8 (95% CI, 2.7-2.9) pp in disenrollment to TM. The number of new complex conditions was associated with increased disenrollment, from 1.4 (95% CI, 1.3-1.6) pp for 1 condition to 12.8 (95% CI, 11.6-13.9) pp for 4 or more conditions. Disenrollment to TM was 1.5 (95% CI, 0.9-2.1) pp higher among beneficiaries residing in states with Medigap guaranteed issue and community rating protections. Conclusions and Relevance: In this study, development of new complex medical conditions was associated with higher MA disenrollment, particularly to TM and in states with Medigap protections, and the magnitude increased with medical complexity. These findings highlight how changes in health status and state policy may shape Medicare coverage decisions.

Indexed as

Medicare Part CAgedAged, 80 and overChronic DiseaseCohort StudiesFemaleHumansInsurance, MedigapMaleUnited States

Identifiers

PMID42627656
PMCPMC13499002

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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.