Evidence map›Paper›PMID 37775023›Full record

ArticleFertility and sterility2024

State insurance mandates and racial and ethnic inequities in assisted reproductive technology utilization.

Ann Korkidakis, Carol DeSantis, Dmitry Kissin, Michele Hacker, Katherine Koniares, Anthony Yartel, Eli Adashi, Alan Penzias, Collaborative for Assisted Reproductive Technology Epidemiologic Research

Abstract read
In one paragraph

Article in Fertility and sterility, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ann KorkidakisBoston IVF-The Eugin Group, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts. Electronic address: Akorkidakis@bostonivf.com.
Carol DeSantisDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia; Department of Obstetrics and Gynecology, University of Connecticut, Farmington, Connecticut.
Dmitry KissinDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Michele HackerDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.
Katherine KoniaresDepartment of Obstetrics and Gynecology, University of Connecticut, Farmington, Connecticut.
Anthony YartelDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia; Department of Obstetrics and Gynecology, University of Connecticut, Farmington, Connecticut.
Eli AdashiDepartment of Medical Sciences, Division of Biology and Medicine, Brown University, Providence, Rhode Island.
Alan PenziasBoston IVF-The Eugin Group, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.
Collaborative for Assisted Reproductive Technology Epidemiologic Research

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Intramural CDC HHS CC999999NCATS NIH HHS UL1 TR002541
6 · The paper itself

Abstract

objectiveTo examine whether the (1) scope of state-mandated insurance coverage for assisted reproductive technology (ART) and (2) proportion of the population eligible for this coverage are associated with reductions in racial/ethnic inequities in ART utilization.

designNational cross-sectional, ecologic study. SUBJECTS: We employed estimates from the US Census Bureau of all women 20-44 years of age living in the US in 2018. Data on the number of women who initiated an ART cycle during that year that were reported to the US Centers for Disease Control and Prevention were obtained from the National ART Surveillance System. EXPOSURE: State mandates were classified according to the scope of required coverage for fertility services: Comprehensive, Limited, and No Mandate.

main outcome measuresRace and ethnic-specific ART utilization rates, defined as the number of women undergoing ≥1 ART cycles per 10,000 women, were the primary outcomes. As state mandates do not apply to all insurance plans, Comprehensive Mandate utilization rates were recalculated using denominators corrected for the estimated proportions of populations eligible for coverage.

resultsAcross all mandate categories, Non-Hispanic (NH) Asian and NH White populations had the highest ART utilization rates, whereas the lowest rates were among Hispanic, NH Black, and NH Other/Multiple Races populations. Compared with the NH Asian reference group, the NH Black population had smaller inequities in the Comprehensive Mandate group than the No Mandate group (rate ratio [RR 0.33 [0.28-0.38] vs. RR 0.23 [0.22-0.24]). Using the Comprehensive Mandate group for each race/ethnicity as the reference, the NH Black and NH Other/Multiple Races populations showed the largest relative differences in utilization between the No Mandate and Comprehensive Mandate groups (RR 0.39 [0.37-0.41] and 0.33 [0.28-0.38], respectively). Within the Comprehensive Mandate group, the disparities in the Hispanic and NH Black populations moved toward the null after correcting for state-mandated insurance eligibility.

conclusionsRacial/ethnic inequities in ART utilization were reduced in states with comprehensive infertility coverage mandates. Inequities were further attenuated after correcting for mandate eligibility. Mandates alone, however, were not sufficient to eliminate disparities. These findings can inform future strategies aimed at improving ART access under a social justice framework.

Indexed as

InfertilityReproductive Techniques, AssistedCross-Sectional StudiesFemaleFertilityHumansInsurance CoverageUnited Statesaccess to careassisted reproductive technologyHealth disparitiesstate mandates

Identifiers

PMID37775023
PMCPMC10951934

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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 OpenQuestion graph.