Evidence map›Paper›PMID 42467433›Full record

ArticleJAMA network open2026

Insurance Type and Menopausal Hormone Therapy Use Among US Women.

Arina Chesnokova, Sunni L Mumford, Allison Schachter, Rebecca F Hamm, Scott Lorch, Matthew Klebanoff, Sarah Lindley, Erika Harness, Makeba Williams, Marilyn M Schapira

Abstract read
In one paragraph

Article in JAMA network open, 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

10 authors.

Arina ChesnokovaDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Sunni L MumfordDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Allison SchachterDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Rebecca F HammDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Scott LorchLeonard Davis Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Matthew KlebanoffDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Sarah LindleyDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Erika HarnessSidney Kimmel Medical College, Thomas Jefferson Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Makeba WilliamsDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Marilyn M SchapiraDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Access to menopausal hormone therapy (MHT) in the US remains low. Understanding whether insurance type is associated with MHT underuse and racial disparities in menopausal care is critical for designing interventions that increase evidence-based and equitable menopause care. Objective: To examine whether Medicaid compared with private insurance is associated with lower MHT use among US women. A secondary objective explored the degree that payer type is associated with observed racial differences in MHT use. Design, Setting, and Participants: This cross-sectional study used the 2013-2014, 2015-2016, and 2017-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) to identify a survey-weighted analytic subset of eligible respondents of a population-based survey of the US civilian, noninstitutionalized population. The study included women aged 45 to 64 years with Medicaid or private insurance coverage who were eligible for MHT. Statistical analyses were performed between March 26, 2024, and December 2, 2025. Exposure: Insurance type. Main Outcomes and Measures: MHT use was the primary outcome. A secondary analysis assessed whether insurance status was associated with observed racial differences in MHT use. Associations were estimated using multivariable logistic regression. Results: The unweighted sample included 1666 National Health and Nutrition Examination Survey respondents (n = 22 275 545, weighted). Of the weighted final sample, 91.4% had private insurance, and 8.6% had Medicaid. Individuals insured by Medicaid were less likely than those with private insurance to report a history of MHT use (10.7% [95% CI, 6.9%-16.0%] vs 20.7% [95% CI, 18.1%-23.5%]). After adjustment, Medicaid-insured women had lower odds of MHT use than privately insured women (OR, 0.50 [95% CI, 0.28-0.87]). In a secondary analysis, Black participants showed lower odds of MHT than White participants (OR, 0.68 [95% CI, 0.45-0.95]), but this difference was attenuated once insurance status was included in the model (adjusted OR, 0.72 [95% CI, 0.50-1.04]). Conclusions and Relevance: In this cross-sectional study of women at typical age for menopause, Medicaid coverage was associated with significantly lower MHT use, suggesting that insurance type may play a role in menopausal care disparities. Insurance status may also partially explain previously observed racial gaps in MHT use. These findings highlight the need for policy and clinical interventions to address insurance-related barriers and to promote equitable menopausal care.

Indexed as

Estrogen Replacement TherapyHormone Replacement TherapyInsurance CoverageInsurance, HealthMedicaidMenopauseCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMiddle AgedNutrition SurveysUnited States

Identifiers

PMID42467433
PMCPMC13379748

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Registered trials

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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 Socratic graph.