Evidence map›Paper›PMID 42549372›Full record

ArticleHealth affairs scholar2026

Optimizing consumer choice in selection of health insurance.

Miranda Yaver, David M Anderson, Risha Gidwani

Abstract read
In one paragraph

Article in Health affairs scholar, 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

3 authors.

Miranda YaverDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA 15222, United States.ORCID https://orcid.org/0000-0002-4971-224X
David M AndersonDepartment of Health Services Policy Management, University of South Carolina, Columbia, SC 29208, United States.ORCID https://orcid.org/0000-0003-4524-2479
Risha GidwaniDivision of Health Care Policy and Research, University of Colorado School of Medicine, Aurora, CO 80045, United States.ORCID https://orcid.org/0000-0002-3548-2332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients are confronted with an overwhelming number of choices when enrolling in health insurance plans, with marketplace enrollees often having over 100 plan options and Medicare Advantage enrollees having on average 42 plan options. This can fuel confusion, administrative burden, and suboptimal plan selection, which in turn can be costly to the patient, who may face greater cost sharing and thus reduce even necessary health care utilization. This is particularly troubling because most Americans experience low levels of health insurance literacy as well as limited numeracy, making it especially challenging to adjudicate among plan options in this setting of health insurance complexity. Accurately discerning optimal plan choice is especially critical given America's notably high health care costs. While there are a growing number of navigator tools, including through the use of artificial intelligence, they tend to suffer from poor take-up and/or efficacy. Existing funding streams prioritize the assessment of the performance of existing interventions, but patients' challenges navigating health plan selection highlight the need to support research to both design and test new interventions to promote health insurance literacy and, in turn, access to necessary medical care.

Indexed as

access to careadministrative burdenconsumer decision-makinghealth insurancehealth insurance inequityhealth insurance literacyhealth policy

Identifiers

PMID42549372
PMCPMC13431898

What OpenQuestion holds

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LicenceCC BY
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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.