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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 59 out of 100. Health systems and care delivery

Topic: Risk, prevention and care in population studies

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.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Meiselbach, M. K., Xu, J., Brown, T., & Polsky, D. (2026). Medicare Advantage Beneficiary Enrollment Decisions Following New Complex Conditions. JAMA Health Forum. https://doi.org/10.1001/jamahealthforum.2026.2843

Vancouver

Meiselbach MK, Xu J, Brown T, Polsky D. Medicare Advantage Beneficiary Enrollment Decisions Following New Complex Conditions. JAMA Health Forum. 2026. doi:10.1001/jamahealthforum.2026.2843. PMID: 42627656.

BibTeX

@article{meiselbach2026-42627656,
  author  = {Meiselbach, Mark Katz and Xu, Jianhui and Brown, Teneil and Polsky, Daniel},
  title   = {{Medicare Advantage Beneficiary Enrollment Decisions Following New Complex Conditions}},
  journal = {JAMA Health Forum},
  year    = {2026},
  doi     = {10.1001/jamahealthforum.2026.2843},
  pmid    = {42627656},
  url     = {https://doi.org/10.1001/jamahealthforum.2026.2843}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

Key findings

Why it matters

This study examined whether developing new complex medical conditions was linked to disenrollment from Medicare Advantage. It is about insurance coverage decisions rather than treating, curing or preventing Alzheimer's disease.

Study details

How this study scored 59/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record left out, no data; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 5 of 5; Sample size 0 of 4; Effect reported 2 of 3; Studied in people 0 of 3; Randomized / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here 0 of 6; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multicenter collaboration left out, no data; Indexed in PubMed 2 of 2; Free to read 2 of 2. 38 of the 64 points it could be judged on, which is 59 of 100. Total 59 of 100.38 of the 64 points we could judge = 59 of 100

Published in a peer-reviewed journal, and it is a cohort study following people over time. Scored zero for sample size, studied in people and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, still being cited, senior author's track record, institution's track record and multicenter collaboration, so those were left out: it earned 38 of the 64 points we could judge it on, which is 59 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (JAMA Health Forum)
Journal's citation record — / 4 No journal record from OpenAlex — left out of this score
Study design 7 / 12 A cohort study following people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 5 / 5 2026 — within 1 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomized / blinded 0 / 2 No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited — / 7 No citation count (not found in OpenAlex) — left out of this score
Citations per year — / 5 No citation count or no year — left out of this score
Impact for its field and year — / 6 No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited — / 4 No yearly citation counts — left out of this score
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multicenter collaboration — / 3 Institutions not listed — left out of this score
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 42627656)
Free to read 2 / 2 Free to read
Points 38 / 64 Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 38 of the 64 points we could judge it on is 59 out of 100.
Total 59 / 100 —

What each of these 20 components measures, and what this score is not →

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