Do state insurance mandates alter ICSI utilization?
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ABSTRACT:
SUBMITTER: Zagadailov P
PROVIDER: S-EPMC7183130 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Publications
Do state insurance mandates alter ICSI utilization?
Zagadailov Pavel P Seifer David B DB Shan He H Zarek Shvetha M SM Hsu Albert L AL
Reproductive biology and endocrinology : RB&E 20200425 1
<h4>Background</h4>Assisted reproductive technology (ART) insurance mandates resulted in improved access to infertility treatments like intracytoplasmic sperm injection (ICSI). Our objective was to examine whether ART insurance mandates demonstrate an increased association with ICSI use.<h4>Methods</h4>In this retrospective cohort study, clinic-specific data for 2000-2016 from the Centers for Disease Control (CDC) were grouped by state and subgrouped by the presence and extent of ART state insur ...[more]
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Project description: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.
| S-EPMC8630859 | biostudies-literature
Project description: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.SubjectsWe 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.ExposureState 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.
| S-EPMC10951934 | biostudies-literature
Project description:Over the last several decades, both delay of childbearing and fertility problems have become increasingly common among women in developed countries. At the same time, technological changes have made many more options available to individuals experiencing fertility problems. However, these technologies are expensive, and only 25% of health insurance plans in the United States cover infertility treatment. As a result of these high costs, legislation has been passed in 15 states that mandates insurance coverage of infertility treatment in private insurance plans. In this article, we examine whether mandated insurance coverage for infertility treatment affects utilization. We allow utilization effects to differ by age and education, since previous research suggests that older, more-educated women should be more likely to be directly affected by the mandates than younger women and less-educated women, both because they are at higher risk of fertility problems and because they are more likely to have private health insurance, which is subject to the mandate. We find robust evidence that the mandates do have a significant effect on utilization for older, more-educated women that is larger than the effects found for other groups. These effects are largest for the use of ovulation-inducing drugs and artificial insemination.
| S-EPMC5833298 | biostudies-literature
Project description:ObjectiveTo test the effects of state prescription contraception insurance mandates on unintended, mistimed, and unwanted births in a sample of privately insured recent mothers.DataWe pooled Pregnancy Risk Assessment Monitoring System (PRAMS) data from 1997 to 2012 to study 209,964 privately insured recent mothers in 24 states, 11 of which implemented prescription contraception coverage mandates between 2000 and 2008.Study designIndividual-level difference-in-differences models compare the probability of unintended birth among privately insured recent mothers in state-years with mandates to those in state-years without mandates. Additional models use aggregate data to estimate the effect of mandates on states' number of unintended births.Principal findingsState mandates are associated with decreased probability of unintended birth (1.58 percentage points) among privately insured women in the second year of implementation, driven by decreased probability of mistimed birth (1.37 percentage points or 614 births per state-year) in the second year of implementation. We find no effects in the first year of implementation or on the probability of unwanted birth. Unexpectedly, recent mothers without private insurance experienced declines in unintended birth, but among unwanted, rather than mistimed, births.ConclusionsState prescription contraception insurance mandates are associated with reduced probability of unintended and mistimed births among privately insured women.
| S-EPMC5682137 | biostudies-literature
Project description:ObjectiveTo evaluate the effects of state insurance mandates requiring insurance plans to cover Pap tests, the standard screening for cervical cancer that is recommended for nearly all adult women.Data sourcesIndividual-level data on 600,000 women age 19-64 from the CDC's Behavioral Risk Factor Surveillance System.Study designTwenty-four states adopted state mandates requiring private insurers in the state to cover Pap tests from 1988 to 2000. We performed a difference-in-differences analysis comparing within-state changes in Pap test rates before and after adoption of a mandate, controlling for the associated changes in other states that did not adopt a mandate.Principal findingsDifference-in-differences estimates indicated that the Pap test mandates significantly increased past 2-year cervical cancer screenings by 1.3 percentage points, with larger effects for Hispanic and non-Hispanic white women. These effects are plausibly concentrated among insured women.ConclusionsMandating more generous insurance coverage for even inexpensive, routine services with already high utilization rates such as Pap tests can significantly further increase utilization.
| S-EPMC5264101 | biostudies-literature
Project description:Forty-six states and the District of Columbia have enacted insurance mandates that require commercial insurers to cover treatment for children with autism spectrum disorder (ASD). This study examined whether implementing autism mandates altered service use or spending among commercially insured children with ASD. We compared children age twenty-one or younger who were eligible for mandates to children not subject to mandates using 2008-12 claims data from three national insurers. Increases in service use and spending attributable to state mandates were detected for all outcomes. Mandates were associated with a 3.4-percentage-point increase in monthly use and a $77 increase in monthly spending on ASD-specific services. Effects were larger for younger children and increased with the number of years since mandate implementation. These increases suggest that state mandates are an effective tool for broadening access to autism treatment under commercial insurance.
| S-EPMC7011707 | biostudies-literature
Project description:We examine the effects of state health insurance mandates requiring coverage of screening mammograms. We find evidence that mammography mandates significantly increased mammography screenings by 4.5-25 percent. Effects are larger for women with less than a high school degree in states that ban deductibles, a policy similar to a provision of federal health reform that eliminates cost-sharing for preventive care. We also find that mandates increased detection of early stage in-situ pre-cancers. Finally, we find a substantial proportion of the increased screenings were attributable to mandates that are not consistent with current recommendations of the American Cancer Society.
| S-EPMC5844506 | biostudies-literature
Project description:BackgroundA myriad of federal, state, and organizational policies are designed to improve access to evidence-based healthcare, but the impact of these policies likely varies due to contextual determinants of, reinterpretations of, and poor compliance with policy requirements throughout implementation. Strategies enhancing implementation and compliance with policy intent can improve population health. Critically assessing the multi-level environments where health policies and their related health services are implemented is essential to designing effective policy-level implementation strategies. California passed a 2019 health insurance benefit mandate requiring coverage of fertility preservation services for individuals at risk of infertility due to medical treatments, in order to improve access to services that are otherwise cost prohibitive. Our objective was to document and understand the multi-level environment, relationships, and activities involved in using state benefit mandates to facilitate patient access to fertility preservation services.MethodsWe conducted a mixed-methods study and used the policy-optimized exploration, preparation, implementation, and sustainment (EPIS) framework to analyze the implementation of California's fertility preservation benefit mandate (SB 600) at and between the state insurance regulator, insurer, and clinic levels.ResultsSeventeen publicly available fertility preservation benefit mandate-relevant documents were reviewed. Interviews were conducted with four insurers; 25 financial, administrative, and provider participants from 16 oncology and fertility clinics; three fertility pharmaceutical representatives; and two patient advocates. The mandate and insurance regulator guidance represented two "Big P" (system level) policies that gave rise to a host of "little p" (organizational) policies by and between the regulator, insurers, clinics, and patients. Many little p policies were bridging factors to support implementation across levels and fertility preservation service access. Characterizing the mandate's functions (i.e., policy goals) and forms (i.e., ways that policies were enacted) led to identification of (1) intended and unintended implementation, service, and patient outcomes, (2) implementation processes by level and EPIS phase, (3) actor-delineated key processes and heterogeneity among them, and (4) inner and outer context determinants that drove adaptations.ConclusionsFollowing the midstream and downstream implementation of a state health insurance benefit mandate, data generated will enable development of policy-level implementation strategies, evaluation of determinants and important outcomes of effective implementation, and design of future mandates to improve fit and fidelity.
| S-EPMC10870606 | biostudies-literature
Project description:BackgroundA myriad of federal, state, and organizational policies are designed to improve access to evidence-based healthcare, but the impact of these policies likely varies due to contextual determinants, re-interpretations of and poor compliance with policy requirements throughout implementation. Strategies enhancing implementation and compliance with policy intent can improve population health. Critically assessing the multi-level environments where health policies and their related health services are implemented is essential to designing effective policy-level implementation strategies. California passed a 2019 health insurance benefit mandate requiring coverage of fertility preservation (FP) services for individuals at risk of infertility due to medical treatments to improve access to services that are otherwise cost-prohibitive. Our objective was to document and understand multi-level environment, relationships, and activities involved in using state benefit mandates to facilitate patient access to FP services.MethodsWe conducted a mixed-methods study and used the policy-optimized Exploration, Preparation, Implementation, Sustainment (EPIS) framework to analyze implementation of California's fertility preservation benefit mandate (SB 600) at and between the state insurance regulator, insurer and clinic levels.ResultsSeventeen publicly available FP benefit mandate-relevant documents were reviewed, and four insurers, 25 financial, administrative and provider participants from 16 oncology and fertility clinics, three fertility pharmaceutical representatives, and two patient advocates were interviewed. The mandate and insurance regulator guidance represented two "Big P" (system level) policies that gave rise to a host of "little p" (organizational) policies by and between the regulator, insurers, clinics, and patients. Many little p policies were bridging factors to support implementation across levels and FP service access. Characterizing the mandate's functions (i.e., policy goals) and forms (i.e., ways that policies were enacted) led to identification of (1) intended and unintended implementation, service, and patient outcomes; (2) implementation processes by level, EPIS phase; (3) actor-delineated key processes and heterogeneity among them; and (4) inner and outer context determinants that drove adaptations.ConclusionsFollowing the mid- and down-stream implementation of a state health insurance benefit mandate, data generated will enable development of policy level implementation strategies, evaluation of determinants and important outcomes of effective implementation, and design of future mandates to improve fit and fidelity.
| S-EPMC10602193 | biostudies-literature
Project description: Not available
| S-EPMC11007571 | biostudies-literature