Dataset Information

State Prescription Contraception Insurance Mandates: Effects on Unintended Births.

ABSTRACT:

Objective

To test the effects of state prescription contraception insurance mandates on unintended, mistimed, and unwanted births in a sample of privately insured recent mothers.

Data

We 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 design

Individual-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 findings

State 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.

Conclusions

State prescription contraception insurance mandates are associated with reduced probability of unintended and mistimed births among privately insured women.

SUBMITTER: Johnston EM

PROVIDER: S-EPMC5682137 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

State Prescription Contraception Insurance Mandates: Effects on Unintended Births.

Johnston Emily M EM Adams E Kathleen EK

Health services research 20171201 6

<h4>Objective</h4>To test the effects of state prescription contraception insurance mandates on unintended, mistimed, and unwanted births in a sample of privately insured recent mothers.<h4>Data</h4>We 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.<h4>Study design</h4>Individual-level difference-in-differenc ...[more]

PMID: 29130270

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Project description:BackgroundAssisted 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.MethodsIn 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 insurance mandates. Mandated (n = 8) and non-mandated (n = 22) states were compared for ICSI use and male factor (MF) infertility in fresh non-donor ART cycles with a transfer in women < 35 years. Clinical pregnancy (CPR), live birth (LBR) rates, preimplantation genetic testing (PGT), elective single-embryo transfer (eSET) and twin birth rates per clinic were evaluated utilizing Welch's t-test. Pearson correlation was used to measure the strength of association between MF and ICSI; ICSI and CPR, and ICSI and LBR over time. Results were considered statistically significant at a p-value of < 0.05, with Bonferroni correction used for multiple comparisons.ResultsFrom 2000 to 2016, ICSI use per clinic increased in both mandated and non-mandated states. ICSI use per clinic in non-mandated states was significantly greater from 2011 to 2016 (p < 0.05, all years) than in mandated states. Clinics in mandated states had less MF (30.5 ± 15% vs 36.7 ± 15%; p < 0.001), lower CPR (39.8 ± 4% vs 43.4 ± 4%; p = 0.02) and lower LBR (33.9 ± 3.5% vs 37.9 ± 3.5%; p < 0.05). PGT rates were not significantly different. ICSI use in non-mandated states correlated with MF rates (r = 0.524, p = 0.03). A significant correlation between ICSI and CPR (r = 0.8, p < 0.001) and LBR (r = 0.7, p < 0.001) was noted in mandated states only. eSET rates were greater and twin rates were lower in mandated compared with non-mandated states.ConclusionsThere was greater use of ICSI per clinic in non-mandated states, which correlated with an increased frequency of MF. In mandated states, lower ICSI rates per clinic were accompanied by a positive correlation with CPR and LBR, as well as a trend for greater eSET rates and lower twin rates, suggesting that state mandates for ART coverage may encourage more selective utilization of laboratory resources.

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.

Project description:ObjectivesUnintended (mistimed or unwanted) pregnancies occur frequently in the United States and have negative effects. When designing prevention programs and intervention strategies for the provision of comprehensive birth control methods, it is necessary to identify (1) populations at high risk of unintended pregnancy, and (2) geographic areas with a concentration of need.MethodsTo estimate the proportion and incidence of unintended births and pregnancies for regions in Missouri, two machine-learning prediction models were developed using data from the National Survey of Family Growth and the Missouri Pregnancy Risk Assessment Monitoring System. Each model was applied to Missouri birth certificate data from 2014 to 2016 to estimate the number of unintended births and pregnancies across regions in Missouri. Population sizes from the American Community Survey were incorporated to estimate the incidence of unintended births and pregnancies.ResultsAbout 24,500 (34.0%) of the live births in Missouri each year were estimated to have resulted from unintended pregnancies: about 25 per 1,000 women (ages 15 to 45) annually. Further, 40,000 pregnancies (39.7%) were unintended each year: about 41 per 1,000 women annually. Unintended pregnancy was concentrated in Missouri's largest urban areas, and annual incidence varied substantially across regions.ConclusionsOur proposed methodology was feasible to implement. Random forest modeling identified factors in the data that best predicted unintended birth and pregnancy and outperformed other approaches. Maternal age, marital status, health insurance status, parity, and month that prenatal care began predict unintended pregnancy among women with a recent live birth. Using this approach to estimate the rates of unintended births and pregnancies across regions within Missouri revealed substantial within-state variation in the proportion and incidence of unintended pregnancy. States and other agencies could use this study's results or methods to better target interventions to reduce unintended pregnancy or address other public health needs.

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.

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.

Dataset Information

State Prescription Contraception Insurance Mandates: Effects on Unintended Births.

Objective

Data

Study design

Principal findings

Conclusions

Publications

State Prescription Contraception Insurance Mandates: Effects on Unintended Births.

Similar Datasets

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