Evidence map›Paper›PMID 34847941›Full record

ArticleReproductive biology and endocrinology : RB&E2021

Differences in ICSI utilization rates among states with insurance mandates for ART coverage.

Pavel Zagadailov, Kyung S Cho, David B Seifer

Abstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Pavel ZagadailovClinical Outcomes Research Group, CORG LLC, 178 Meadow Brook Rd, Grantham, NH, 03753, USA. zagadailov@gmail.com.ORCID http://orcid.org/0000-0002-5433-1118
Kyung S ChoClinical Outcomes Research Group, CORG LLC, 178 Meadow Brook Rd, Grantham, NH, 03753, USA.
David B SeiferDepartment of Obstetrics and Gynecology, Yale University School of Medicine, 333 Cedar St, New Haven, CT, 06510, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssisted reproductive technology (ART) insurance mandates promote more selective utilization of ART clinic resources including intracytoplasmic sperm injection (ICSI). Our objective was to examine whether ICSI utilization differs by state insurance mandates for ART coverage and assess if such a difference is associated with male factor, preimplantation genetic testing (PGT), and/or live birth rates.

methodsIn this retrospective analysis of the Centers for Disease Control (CDC) data from 2018, ART clinics in ART-mandated states (n = 8, AR, CT, HI, IL, MD, MA, NJ, RI) were compared individually to one another and with non-mandated states in aggregate (n = 42) for use of ICSI, male factor, PGT, and live birth rates. ANOVA was used to evaluate differences between ART-mandated states and non-mandated states. Individual ART-mandated states were compared using Welch t-tests. Statistical significance was determined by Bonferroni Correction.

resultsThere were significant differences in ICSI rates (%, mean ± SD) between MA (53.3 ± 21.3) and HI (90.7 ± 19.6), p = 0.028; IL (86.5 ± 18.7) and MA, p = 0.002; IL and MD (57.2 ± 30.8), p = 0.039; IL and NJ (62.0 ± 26.8), p = 0.007; between non-mandated states in aggregate (79.9 ± 19.9) and MA, p = 0.006, and NJ (62.0 ± 26.8), p = 0.02. Male factor rates of HI (65.8 ± 16.0) were significantly greater compared to CT (18.8 ± 8.7), IL (26.0 ± 11.9), MA (26.9 ± 6.6), MD (29.3 ± 9.9), NJ (30.6 ± 17.9), and non-mandated states in aggregate (29.7 ± 13.7), all p < 0.0001. No significant differences were reported for use of PGT and/or live birth rates across all age groups regardless of mandate status.

conclusionsICSI use varied significantly among ART-mandated states while demonstrating no differences in live birth rates. These data suggest that the prevalence of male factor and the presence of a state insurance mandate are not the only factors influencing ICSI use. It is suggested that other non-clinical factors may impact the rate of ICSI utilization in a given state.

Indexed as

Insurance CoverageFemaleHumansInfant, NewbornMalePatient Acceptance of Health CarePregnancyReproductive Techniques, AssistedRetrospective StudiesSperm Injections, IntracytoplasmicAssisted reproductive technologyIntracytoplasmic sperm injectionIn-vitro fertilizationLive birth rateMale factorState insurance mandatesUtilization rates

Identifiers

PMID34847941
PMCPMC8630859

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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.