Evidence map›Paper›PMID 37406231›Full record

ArticleHealth affairs (Project Hope)2023

Rapid Enrollment Growth In 'Look-Alike' Dual-Eligible Special Needs Plans: A Threat To Integrated Care.

Yanlei Ma, Austin B Frakt, Eric T Roberts, Kenton J Johnston, Jessica Phelan, José F Figueroa

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 6 institutions in 2 countries.

Yanlei MaYanlei Ma, Harvard University, Boston, Massachusetts.
Austin B FraktAustin B. Frakt, Veterans Affairs Boston Healthcare System, Harvard University, and Boston University, Boston, Massachusetts.
Eric T RobertsEric T. Roberts, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kenton J JohnstonKenton J. Johnston, Washington University in St. Louis, St. Louis, Missouri.
Jessica PhelanJessica Phelan, Harvard University.
José F FigueroaJosé F. Figueroa (jfigueroa@hsph.harvard.edu), Harvard University and Brigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · USJesus University · KRRobert Morris University · USVA Boston Healthcare System · USWashington University in St. Louis · US

Funding

A National Analysis of the Extent and Value of Medicare Advantage Physician NetworksR01AG068122 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI FRAKT, AUSTIN B. · 2021 to 2023
$1.6M
NIA NIH HHS R01 AG068122
6 · The paper itself

Abstract

Policy makers are increasingly investing in efforts to better integrate Medicare and Medicaid services for people who are eligible for both programs, including expanding Dual-Eligible Special Needs Plans (D-SNPs). In recent years, however, a potential threat to integration has emerged in the form of D-SNP "look-alike" plans, which are conventional Medicare Advantage plans that are marketed toward and primarily enroll dual eligibles but are not subject to federal regulations requiring integrated Medicaid services. To date, limited evidence exists documenting national enrollment trends in look-alike plans or the characteristics of dual eligibles in these plans. We found that look-alike plans experienced rapid enrollment growth among dual eligibles during the period 2013-20, increasing from 20,900 dual eligibles across four states to 220,860 dual eligibles across seventeen states, for an elevenfold increase. Nearly one-third of dual eligibles in look-alike plans were previously in integrated care programs. Compared with D-SNPs, look-alike plans were more likely to enroll dual eligibles who were older, Hispanic, and from disadvantaged communities. Our findings suggest that look-alike plans have the potential to compromise national efforts to integrate care delivery for dual eligibles, including vulnerable subgroups who may benefit the most from integrated coverage.

Indexed as

Delivery of Health Care, IntegratedMedicare Part CAgedEligibility DeterminationHumansMedicaidUnited StatesVulnerable Populations

Identifiers

PMID37406231
PMCPMC13358864
OpenAlexW4383199375

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.