Racial and Ethnic Differences in Pregnancy Rates Following Intrauterine Insemination with a Focus on American Indians

Moving toward Narrowing the United States Gap in Assisted Reproductive Technology (ART) Racial and Ethnic Disparities in the Next Decade

The Disparities in Assisted Reproductive Technology (DART) hypothesis, initially described in 2013 and further modified in 2022, is a conceptual framework to examine the scope and depth of underlying contributing factors to the differences in access and treatment outcomes for racial and ethnic minorities undergoing ART in the United States. In 2009, the World Health Organization defined infertility as a disease of the reproductive system, thus recognizing it as a medical problem warranting treatment. Now, infertility care is largely recognized as a human right. However, disparities in Reproductive Endocrinology and Infertility (REI) care in the US persist today. While several studies and review articles have suggested possible solutions to racial and ethnic disparities in access and outcomes in ART, few have accounted for and addressed the multiple complex factors contributing to these disparities on a systemic level. This review aims to acknowledge and address the myriad of contributing factors through the DART hypothesis which converge in racial/ethnic disparities in ART and considers possible solutions to effect large scale societal change by narrowing these gaps within the next decade.

A Systematic Review of Genetics and Reproductive Health Outcomes: Asian Perspective

In the last four decades, advances in assisted reproductive technology (ART) have offered hope to individuals with fertility problems to conceive. However, a closer examination of the clinical outcomes of ART shows a stark contrast in Asian women compared to Caucasians, with majority of studies reporting lower reproductive success among Asian women. We performed a systematic review to elucidate the genes associated with ART clinical outcomes, with a focus on Asian ethnicities. We completed a database search to identify all studies associated with reproductive outcomes in women of different ethnic backgrounds. Following PRISMA, 128 studies were analyzed. Pathway analysis of gene sets was done using Cytoscapev3.4.0. We observed that age at menarche (AAM) was correlated with the timing of the first pregnancy, with Hawaiians having the lowest age (22.2 years) and Japanese the highest age (25.0 years). LIN28 mutations were associated with AAM and prevalent in both Chinese and American populations. FMR1 was most associated with ovarian reserve. Network analysis highlighted a close association between FMR1, FSHR, ESR1, BMP15, and INHA, through biological functions affecting menstrual cycle and hypothalamic-pituitary axis and therefore ovarian follicle development. Leveraging these findings, we propose the development of a personalized, ethnic-specific biomarker panel which would enhance patient stratification to address every woman's unique reproductive potential.

How Individuals Use Metaphors to Negotiate Fertility Treatment Decision-Making with Their Romantic Partners

Fertility problems, or the inability to conceive or carry a pregnancy to term for a period of over 12 months while engaging in unprotected sex, affects 12% of women and 9% of men of childbearing age. To answer calls for more research about individuals' fertility decision-making (DM) with their partners, we conducted in-depth, semi-structured interviews with 53 individuals who have experienced fertility decision-making with a romantic partner at some point in their lives. Our findings indicate at least three primary ways individuals and their partners navigated their decision-making communication in their infertility "journeys:" (1) the Driver-Navigator, (2) Driver-Passenger, and (3) Driver-Backseat Driver approaches. All decision-making communication approaches were viewed by individuals as collaborative (i.e. shared), but varied in degrees of "togetherness" (high, moderate, low) in how they communicated with each other about treatment decisions. Implications include helping couples and their clinicians to be aware of their DM approach(es) and offering alternative DM approaches based on understanding how and why certain approaches may (not) be effective in addressing goals, needs, and identities.

Effect of female body mass index on intrauterine insemination outcomes: a systematic review and meta-analysis

The prevalence of women with a raised body mass index (BMI) seeking assisted conception treatment is increasing. Findings of existing studies evaluating the effect of female BMI on intrauterine insemination (IUI) treatment outcomes remain inconsistent. This systematic review and meta-analysis evaluate the effect of female BMI on IUI treatment outcomes. Two authors independently conducted data extraction and assessed study quality. Risk ratios (RR) and 95% confidence intervals were calculated using the Mantel-Haenszel approach for dichotomous outcomes. 11 studies involving 23,145 IUI treatment events, comprising 21,211 cycles from 8 studies, and 1,934 participants in three studies, met the inclusion criteria for the meta-analysis. Two cohorts of women undergoing IUI treatment were compared - women with normal BMI < 25 kg/m2 were compared with a second cohort of women with a BMI category ≥ 25 kg/m2. There was no statistically significant difference in live birth rate (LBR) (RR 1.06, 95% CI 0.86-1.307); clinical pregnancy rate (CPR) (RR 0.94, 95% CI 0.78-1.13); miscarriage (RR 0.92, 95% CI 0.31-2.74) or ectopic pregnancy rate (RR 2.20, 95% CI 0.78-6.23). Our meta-analysis showed that a raised female BMI did not affect IUI treatment outcomes. Nevertheless, weight loss counselling should be offered to women with a raised BMI undergoing IUI, to reduce the associated obstetric morbidity.

Racial and Ethnic Disparities in Access to and Outcomes of Infertility Treatment and Assisted Reproductive Technology in the United States

Infertility disproportionately affects the minority, non-White populace, with Black women having twofold higher odds than White women. Despite higher infertility rates, minority racial and ethnic groups access and utilize fertility care less frequently. Even once care is accessed, racial and ethnic disparities exist in infertility treatment and ART outcomes. Preliminary studies indicate that Asian and American Indian women have lower intrauterine insemination pregnancy rates. Many robust studies indicate significant racial and ethnic disparities in rates of clinical pregnancy, live birth, pregnancy loss, and obstetrical complications following in vitro fertilization, with lower favorable outcomes in Black, Asian, and Hispanic women.

Inequities in Medically Assisted Reproduction: a Scoping Review

Infertility has a high prevalence in the USA and health inequities play a large role in access to medically assisted reproduction (MAR). The aim of this study was to identify gaps in research pertaining to inequities in MAR and propose suggestions for future research directions. Searches were performed using MEDLINE and Ovid Embase. Articles that reported on MAR inequities, published between 2016 and 2021 in the USA, and written in English were included. The inequities investigated were adapted from the NIH-designated health disparities populations. Each article's inequity findings were extracted and reported, along with frequencies of inequities. Our sample included 66 studies. The majority of the studies investigated MAR outcomes by race/ethnicity and found that historically marginalized populations had poorer outcomes. LGBTQ + populations were less likely to use MAR or seek infertility care. Most studies found positive correlations with MAR use with income and education. The least commonly studied inequities in our sample were sex and/or gender and rural/under-resourced populations; findings showed that men and people from rural/under-resourced populations were less likely to access MAR. Studies that examined occupational status had varying findings. We suggest that future research be targeted toward: (1) standardizing and diversifying race/ethnicity reporting regarding MAR, (2) the use of community-based participatory research to increase data for LGBTQ + patients, and (3) increasing access to infertility care for men.

Factors contributing to persistent disparate outcomes of in vitro fertilization treatment

PURPOSE OF REVIEW

Disparate healthcare outcomes are ubiquitous and occur across all fields of medicine, specifically for racial and ethnic minorities. Within reproductive health, minority women face disparate access to care, particularly infertility services, poor outcomes of fertility treatment, alarmingly higher rates of maternal morbidity and mortality as well as higher rates of preterm birth, lower live birth rates when they conceive spontaneously or when they conceive with assisted reproductive technology. The objective of this review is to highlight factors contributing to the persistent racial/ethnic disparities in in vitro fertilization (IVF) outcomes.

RECENT FINDINGS

Recent studies document poorer outcomes after IVF treatment. Black women have been shown to have lower live birth rates following IVF treatment for more than 15 years.

SUMMARY

In an effort to better understand these negative outcomes, scientists and clinicians have investigated possible biological contributing factors including the vaginal microbiome, differences in oocyte quality, embryo viability, endometrial factors, and hormonal differences. Multiple social/cultural factors also play a role including access to care, particularly for people with low income, patient (mis)education, and medical racism/bias.

Association between maternal race and the use of assisted reproductive technology in the USA

Despite advances in the field of infertility medicine and its availability, disparities affect the accessibility status worldwide. Racial disparities could potentially affect the utilization of assisted reproductive technology (ART). We aimed at studying the association between maternal race and the use of ART treatment in the USA. We analyzed a secondary dataset (2017 Natality) obtained from the Centers for Disease Control and Prevention. This cross-sectional study acquired information on maternal race as well as ART utilization from women living within the reporting States and US territories. We analyzed the data using descriptive, bivariate, and regression analysis. A total of 3,864,754 live births out of 325,719,178 US races and origin populations were reported for the 2017 review year. A total of 42,846 women who had a live birth reported utilization of ART out of 67,554 respondents. The Chi-square test showed a statistically significant association between maternal race and the use of ART treatment, p value 0.01. Unadjusted regression odds of the utilization of ART at 95 % confidence interval (CI) was 87% higher among non-Hispanic Asian women as compared to the non-Hispanic White. We also found higher odds for maternal age 35-54 years 2.41 (95% CI 2.34-2.49), maternal education (above college degree) 1.36 (95% CI 1.31-1.42), and non-smoking status 2.44 (95% CI 2.02-2.94). Compared to the non-Hispanic white race, the adjusted regression odds were lower for all other racial/ethnic minorities except for the non-Hispanic Asian 63% (95% CI 1.09-2.44) and non-Hispanic mixed race 59% (95% CI 0.81-3.10) subgroups. The study finds the utilization of ART in the USA to be associated with maternal race.

Predictive factors for intrauterine insemination outcomes: a review

PURPOSE

Intrauterine insemination (IUI) is a frequently utilized method of assisted reproduction for patients with mild male factor infertility, anovulation, endometriosis, and unexplained infertility. The purpose of this review is to discuss factors that affect IUI outcomes, including infertility diagnosis, semen parameters, and stimulation regimens.

METHODS

We reviewed the published literature to evaluate how patient and cycle specific factors affect IUI outcomes, specifically clinical pregnancy rate, live birth rate, spontaneous abortion rate and multiple pregnancy rate.

RESULTS

Most data support IUI for men with a total motile count > 5 million and post-wash sperm count > 1 million. High sperm DNA fragmentation does not consistently affect pregnancy rates in IUI cycles. Advancing maternal and paternal age negatively impact pregnancy rates. Paternal obesity contributes to infertility while elevated maternal BMI increases medication requirements without impacting pregnancy outcomes. For ovulation induction, letrozole and clomiphene citrate result in similar pregnancy outcomes and are recommended over gonadotropins given increased risk for multiple pregnancies with gonadotropins. Letrozole is preferred for obese women with polycystic ovary syndrome. IUI is most effective for women with ovulatory dysfunction and unexplained infertility, and least effective for women with tubal factor and stage III-IV endometriosis. Outcomes are similar when IUI is performed with ovulation trigger or spontaneous ovulatory surge, and ovulation may be monitored by urine or serum. Most pregnancies occur within the first four IUI cycles, after which in vitro fertilization should be considered.

CONCLUSIONS

Providers recommending IUI for treatment of infertility should take into account all of these factors when evaluating patients and making treatment recommendations.

Is there evidence of weathering among women seeking fertility treatments?: Evidence and insights

Racial disparities in outcomes of assisted reproductive technologies (ART) are well-documented, and evidence of racial disparities in other forms of fertility treatments has also been observed. To date, much of the research on these disparities has focused on individual-level causes. This paper contextualizes these disparities using the weathering hypothesis. Using the National Survey of Family Growth and exploratory analyses of the National Health and Nutrition Examination Survey, this study evaluates whether there is evidence of weathering among women of color seeking fertility treatments. The study finds inconsistent evidence of weathering among these groups. However, the study is limited by weaknesses in the available data. The paper demonstrates the promise and limits of the available data to answer empirical questions regarding disparities in fertility treatments that have spurred a national public health action plan and numerous commentaries from scholars and professional organizations. The paper concludes with a discussion of other possible causes of these disparities and a description of next steps needed in the field to better understand both the "under the skin" and social processes that underlie disparities in fertility treatment outcomes.

The prevalence of infertility in American Indian/Alaska Natives and other racial/ethnic groups: National Survey of Family Growth

BACKGROUND

The prevalence of infertility in American Indian/Alaska Native (AI/AN) populations is unknown. The objective of our study was to estimate the prevalence of infertility and impaired fecundity in the AI/AN population and other racial and ethnic groups.

METHODS

We analyzed female respondent data from the pooled National Survey of Family Growth (NSFG) cycles 2002, 2006-2010, and 2011-2013. We used modified Poisson regression with robust error variance accounting for survey weighting to estimate prevalence proportion ratios (PPR) and 95% confidence intervals (CI) for NSFG definitions of infertility and impaired fecundity by race and Hispanic ethnicity.

RESULTS

The prevalence of infertility and impaired fecundity in the pooled NSFG was 6.4% (95% CI 5.7, 7.0) and 11.0% (95% CI 11.0, 12.2), respectively. Compared to whites, blacks had a 1.45 times greater adjusted prevalence of infertility (95% CI 1.15, 1.83) and AI/ANs had a 1.37 times greater prevalence of infertility (95% CI 0.91, 2.06) compared to whites. We observed a 1.30 times greater prevalence of impaired fecundity among AI/AN (95% CI 1.04, 1.62) compared to whites. We observed no differences in impaired fecundity for black or Asian/Pacific Islander women compared to whites or for Hispanic compared to non-Hispanic women.

CONCLUSIONS

Inequalities in the burden of reproductive impairments among blacks and AI/AN women warrant further evaluation to identify opportunities for prevention and disparity reduction.

Racial/Ethnic Differences in the Utilization of Infertility Services: A Focus on American Indian/Alaska Natives

Objectives Previous studies have identified racial/ethnic disparities in infertility care, but patterns among American Indian/Alaska Natives (AI/AN) have not been reported. Our objective was to evaluate infertility services use in the US by race/ethnicity using data from the National Survey of Family Growth (NSFG). Methods We analyzed female respondent data from the pooled NSFG cycles 2002, 2006-2010 and 2011-2013. Respondents reported use of infertility services and types of services. We calculated weighted crude and adjusted prevalence proportion ratios (PPR) and 95% confidence intervals (95% CI) using modified Poisson regression with robust error variances accounting for the complex survey design to compare infertility services use across race/ethnicities. Results Overall, 8.7% of women reported using medical services to get pregnant. The prevalence of using any medical service to help get pregnant was lower for American Indian/Alaska Native (AI/AN) (PPR: 0.60, 95% CI 0.43-0.83) and black (PPR: 0.53, 95% CI 0.44-0.63) compared to white women and in Hispanic compared to non-Hispanic women (PPR: 0.57, 95% CI 0.48-0.67). The prevalence of accessing treatment, testing, and advice also differed by race and ethnicity. Conclusions for Practice We observed disparities in accessing services to get pregnant among AI/AN and black women and reduced use of advice among Asian/Pacific Islanders compared to whites. We also observed reduced service utilization for Hispanic compared to non-Hispanic women. Differential utilization of specific services suggests barriers to infertility care may contribute to reproductive health disparities among underserved populations.