Evidence map›Paper›PMID 39415612›Full record

ArticleHealth services research2025

Should I stay or should I go again: Multiple switching between fee-for-service Medicare and Medicare advantage among older beneficiaries.

Geoffrey J Hoffman, Yang Amy Jiao, Zhaohui Fan, H Myra Kim, Lillian Min, Donovan Maust

Abstract read
In one paragraph

Article in Health services research, 2025. 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
  2. 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

6 authors.

Geoffrey J HoffmanDepartment of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-3583-6532
Yang Amy JiaoDepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Zhaohui FanCenter for Healthcare Outcomes & Policy, University of Michigan, Ann Arbor, Michigan, USA.
H Myra KimConsulting for Statistics, Computing & Analytics Research (CSCAR), University of Michigan, Ann Arbor, Michigan, USA.
Lillian MinDivision of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Donovan MaustDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA.

Funding

The impact of Medicare managed care on older patients with dementia and their family caregivers.R01AG074944 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOFFMAN, GEOFFREY JONATHAN · 2022 to 2025
$1.7M
NIA NIH HHS 1R01AG074944-01NIA NIH HHS R01 AG074944
6 · The paper itself

Abstract

objectiveTo evaluate whether having previously disenrolled from Medicare Advantage (MA) is associated with lower hazards of future MA enrollment. DATA SOURCES AND STUDY

settingSecondary data from Medicare. STUDY

designWe examined beneficiaries with baseline FFS enrollment from 2017-2019 using a 20% sample of Medicare claims. Cox proportional hazard models were used to examine the association of prior MA enrollment (in the three years prior to baseline FFS enrollment) with MA re-enrollment, and whether this association is modified by Alzheimer's Disease and Related Dementias (ADRD), prior nursing home use, chronic illness, dual eligible status, and availability of MA plans and quality. DATA COLLECTION: Not applicable. PRINCIPAL

findingsOverall, 3.3% of beneficiaries switched to MA annually. Of those with prior MA enrollment, MA switching percentages were 9.0%, 4.6%, and 6.8% for those whose most recent MA enrollments were 1, 2, and 3 years prior to their baseline FFS year. Comparatively, the switching percentages was 3.2% for those with no prior MA enrollment. The hazards of switching to MA were 2.73 (p < 0.001), 1.29 (p < 0.001), and 1.97 (p < 0.001) times greater than remaining in FFS for beneficiaries whose most recent MA enrollments were one, two, and three years prior to their baseline FFS year. Hazards of switching were generally similar between those with and without ADRD, stratified by recency in prior MA experience, except those with dual eligibility. Among those with ADRD, switching hazards were greatest for 3 years prior MA enrollees in counties with the fewest available (HR: 3.84, p < 0.001) and lowest-rated plans (HR: 4.02, p < 0.001).

conclusionsRecency of switching from MA to FFS was the strongest predictor of a FFS-to-MA switch, identifying a population of beneficiaries who multiply switch regardless of health status or MA access. Future health policy considerations should more closely examine the vulnerabilities and long-term outcomes of this population.

Indexed as

Fee-for-Service PlansMedicareMedicare Part CAgedAged, 80 and overFemaleHumansMaleProportional Hazards ModelsUnited StatesHealth‐care financing/insurancehealth economicsmanaged care organizationsMedicare

Identifiers

PMID39415612
PMCPMC12047697

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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.