Evidence map›Paper›PMID 38190601›Full record

ArticleHealth affairs (Project Hope)2024

Small Marketplace Premiums Pose Financial And Administrative Burdens: Evidence From Massachusetts, 2016-17.

Adrianna McIntyre, Mark Shepard, Timothy J Layton

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The role of nonfinancial factors in the Congressional Budget Office's health insurance coverage projections.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Changes to ACA Individual Insurance Markets After States Leave Healthcare.gov 2016-2023.Inquiry : a journal of medical care organization, provision and financing
    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

3 authors.

Adrianna McIntyreAdrianna McIntyre (amcintyre@hsph.harvard.edu), Harvard University, Boston, Massachusetts.
Mark ShepardMark Shepard, Harvard University, Cambridge, Massachusetts.
Timothy J LaytonTimothy J. Layton, Harvard University, Boston, Massachusetts.

Funding

Work Requirements and Health Care Disparities in Medicaid: A RandomizedControlled TrialR01MD014970 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI LAYTON, TIMOTHY · 2020 to 2024
$1.7M
NIMHD NIH HHS R01 MD014970
6 · The paper itself

Abstract

Health insurance premiums are primarily understood to pose financial barriers to coverage. However, the need to remit monthly premium payments may also create administrative burdens that negatively affect coverage, even in cases where affordability is a negligible concern. Using 2016-17 data from the Massachusetts health insurance Marketplace and a natural experiment, we evaluated how coverage retention was affected by the introduction of nominal (less than $10 for most enrollees) monthly premiums for plans that previously had $0 premiums. Compared with plans that maintained $0 premiums, those that took on nominal premiums saw enrollment fall by 14 percent over the following year. This attrition was attributable to terminations for nonpayment; most terminations occurred at the end of January, implying that a significant number of affected enrollees never initiated premium payments. These findings suggest that even very small premiums act as enrollment barriers, which may sometimes reflect administrative burdens more than financial hardship. Several policy approaches could mitigate adverse coverage outcomes related to nominal premiums.

Indexed as

Health Insurance ExchangesHumansMassachusettsPolicy

Identifiers

PMID38190601
PMCPMC13077712

What OpenQuestion holds

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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.