Infertility in the Midwest: perceptions and attitudes of current treatment

Racial and ethnic disparities in reproductive medicine in the United States: a narrative review of contemporary high-quality evidence

There has been increasing debate around how or if race and ethnicity should be used in medical research-including the conceptualization of race as a biological entity, a social construct, or a proxy for racism. The objectives of this narrative review are to identify and synthesize reported racial and ethnic inequalities in obstetrics and gynecology (ob/gyn) and develop informed recommendations for racial and ethnic inequity research in ob/gyn. A reproducible search of the 8 highest impact ob/gyn journals was conducted. Articles published between January 1, 2010 and June 30, 2023 containing keywords related to racial and ethnic disparities, bias, prejudice, inequalities, and inequities were included (n=318). Data were abstracted and summarized into 4 themes: 1) access to care, 2) adherence to national guidelines, 3) clinical outcomes, and 4) clinical trial diversity. Research related to each theme was organized topically under the headings i) obstetrics, ii) reproductive medicine, iii) gynecologic cancer, and iv) other. Additionally, interactive tables were developed. These include data on study timeline, population, location, and results for every article. The tables enable readers to filter by journal, publication year, race and ethnicity, and topic. Numerous studies identified adverse reproductive outcomes among racial and ethnic minorities as compared to white patients, which persist despite adjusting for differential access to care, socioeconomic or lifestyle factors, and clinical characteristics. These include higher maternal morbidity and mortality among Black and Hispanic/Latinx patients; reduced success during fertility treatments for Black, Hispanic/Latinx, and Asian patients; and lower survival rates and lower likelihood of receiving guideline concordant care for gynecological cancers for non-White patients. We conclude that many racial and ethnic inequities in ob/gyn cannot be fully attributed to patient characteristics or access to care. Research focused on explaining these disparities based on biological differences incorrectly reinforces the notion of race as a biological trait. More research that deconstructs race and assesses efficacy of interventions to reduce these disparities is needed.

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.

The burden of very early dropout in infertility care: a nationwide population-based cohort study

STUDY QUESTION

What is the frequency and the associated factors of very early dropout following unsuccessful clomiphene citrate (CC)/gonadotropin treatment in the context of full coverage of treatment cost.

SUMMARY ANSWER

Despite free treatment, almost one in four women had a very early dropout following unsuccessful CC/gonadotropin treatment, with patients below the poverty line being more likely to drop out early.

WHAT IS KNOWN ALREADY

Success of infertility care is tarnished by very high dropout rates. Infertility care dropout has been considered as resulting principally from financial barriers because of the high cost of treatment. Nearly all previous work addressed dropout following IVF/ICSI. Factors associated with dropout following CC/gonadotropins may be different and also need to be investigated.

STUDY DESIGN, SIZE, DURATION

Nationwide population-based cohort study.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Using the French national health insurance and hospital databases, we included in the cohort 27 416 women aged 18-49 years unsuccessfully treated with CC/gonadotropins in 2017. The main outcome was very early dropout, defined as discontinuation of all infertility treatment after unsuccessful treatment for 1-3 months. Very early treatment dropout was analysed by multivariate logistic regression.

MAIN RESULTS AND THE ROLE OF CHANCE

Among women unsuccessfully treated with CC/gonadotropins, 22% dropped out of infertility care within 3 months. In multivariate analysis, higher early dropout following unsuccessful CC/gonadotropin treatment was associated with older and younger ages (≥35 and <25 years), being below the poverty line, being treated with CC prescribed by a general practitioner and lack of infertility tests or monitoring.

LIMITATIONS, REASONS FOR CAUTION

This study is based on health administrative data that do not include reasons for dropout and record only a limited amount of information. It is thus not possible to analyse the reason for early dropout.

WIDER IMPLICATIONS OF THE FINDINGS

Despite full coverage of all infertility treatment, women under the poverty line have a higher risk of very early dropout following unsuccessful CC/gonadotropin treatment. Better understanding is needed of the non-financial barriers and difficulties faced by these patients. To address disparities in infertility treatment, practitioner training could be reinforced to adapt to patients from different social and cultural backgrounds.

STUDY FUNDING/COMPETING INTEREST(S)

This work was supported by the ANR StimHo project, grant ANR-17-CE36-0011-01 from the French Agence Nationale de la Recherche. The authors have no conflict of interest to declare.

TRIAL REGISTRATION NUMBER

N/A.

Racial disparities in telehealth use during the coronavirus disease 2019 pandemic

OBJECTIVE

To investigate the impact of coronavirus disease 2019 on initial infertility consultations.

DESIGN

Retrospective cohort.

SETTING

Fertility practice in an academic medical center.

PATIENTS

Patients presenting for initial infertility consultation between January 2019 and June 2021 were randomly selected for prepandemic (n = 500) and pandemic (n = 500) cohorts.

EXPOSURE

Coronavirus disease 2019 pandemic.

MAIN OUTCOME MEASURES

The primary outcome was a change in the proportion of African American patients using telehealth after pandemic onset compared with all other patients. Secondary outcomes included presentation to an appointment vs. no-show or cancellation. Exploratory outcomes included appointment length and in vitro fertilization initiation.

RESULTS

The prepandemic cohort vs. the pandemic cohort had fewer patients with commercial insurance (64.4% vs. 72.80%) and more African American patients (33.0% vs. 27.0%), although the racial makeup did not differ significantly between the two cohorts. Rates of missed appointments did not differ between the cohorts, but the prepandemic cohort vs. the pandemic cohort was more likely to no-show (49.4% vs. 27.8%) and less likely to cancel (50.6% vs. 72.2%). African American patients, compared with all other patients, during the pandemic were less likely to use telehealth (57.0% vs. 66.8%). African American patients, compared with all other patients, were less likely to have commercial insurance (prepandemic: 41.2% vs. 75.8%; pandemic: 57.0% vs. 78.6%), present to their scheduled appointment (prepandemic: 52.7% vs. 73.7%; pandemic: 48.1% vs. 74.8%), and cancel vs. no-show (prepandemic: 30.8% vs. 68.2%, pandemic: 64.3% vs. 78.3%). On multivariable analysis, African American patients were less likely (odds ratio 0.37, 95% confidence interval 0.28-0.50) and telehealth users were more likely (odds ratio 1.54, 95% confidence interval 1.04-2.27) to present to their appointments vs. no-show or cancel when controlling for insurance type and timing relative to the onset of the pandemic.

CONCLUSION

Telehealth implementation during the coronavirus disease 2019 pandemic decreased the overall no-show rate, but this shift did not apply to African American patients. This analysis highlights disparities in insurance coverage, telehealth utilization, and presentation for an initial consultation in the African American population during the pandemic.

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.

Racial and ethnic disparities in assisted reproductive technology: a systematic review

There is emergent scientific literature examining the disparities in reproductive care of women in the United States. Reproduction is a basic human right and there are unique challenges that racial and ethnic minorities face in accessing fertility care and assisted reproductive technology. The identification of these disparities can aid in identifying areas for interventions to improve and resolve, the inequities that exist in providing care for minority populations. A literature search was performed using PubMed to identify articles with data specific to racial and ethnic differences in study populations as it related to infertility, access to care, and treatment outcomes. The following review and collection of articles provide a comprehensive overview of the disparities that exist, the factors that contribute to these disparities, and recommendations for how providers and health care systems may begin to resolve the gaps in equitable care.

Social disparities in the use of ART treatment: a national register-based cross-sectional study among women in Denmark

STUDY QUESTION

How are educational level, labor market attachment and income associated with receiving a first ART treatment in either the public or private healthcare sector among women in Denmark?

SUMMARY ANSWER

Higher educational level and income as well as labor market attachment were associated with higher probability of initiating ART treatment at public and private fertility clinics among women in Denmark.

WHAT IS KNOWN ALREADY

Infertility is common in populations worldwide, and the approach to this issue differs between societies and healthcare systems. In the public Danish healthcare system, ART treatment is free of charge, and the direct cost for patients is therefore low. In the private healthcare sector in Denmark, ART treatment is self-financed. There is limited knowledge about the association between socioeconomic factors and seeking ART treatment, although previous studies have indicated that higher socioeconomic status is associated with seeking ART treatment.

STUDY DESIGN, SIZE, DURATION

Women undergoing ART treatment during 1994-2016 registered in the Danish IVF register were individually linked with data from sociodemographic population registers using the Danish Personal Identification number. The study population consisted of 69 018 women treated with ART and 670 713 age-matched comparison women from the background population with no previous history of ART treatment.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The women included in the analyses were aged 18-45 years. The associations between attained educational level, labor market attachment and income and receiving a first ART treatment attempt were investigated for women either initiating treatment in the public sector or in the private sector, respectively. Information on age and origin was included as potential confounders, and odds ratios (ORs) were estimated in logistic regression models. In addition, analyses were stratified by age group to investigate potential differences across the age span.

MAIN RESULTS AND THE ROLE OF CHANCE

Adjusted results showed increased odds of receiving a first ART treatment in either the public or private sector among women with a higher educational level. Furthermore, women in employment were more likely to receive a first ART treatment in the public or private sector compared to women outside the workforce. The odds of receiving a first ART treatment increased with increasing income level. Surprisingly, income level had a greater impact on the odds of receiving a first ART treatment in the public sector than in the private sector. Women in the highest income group had 10 times higher odds of receiving a first ART treatment in the public sector (OR: 10.53 95% CI: 10.13, 10.95) compared to women in the lowest income group. Sub-analyses in different age groups showed significant associations between ART treatment and income level and labor market attachment in all age groups.

LIMITATIONS, REASONS FOR CAUTION

Our study does not include non-ART treatments, as the national IVF register did not register these types of fertility treatments before 2007.

WIDER IMPLICATIONS OF THE FINDINGS

In Denmark, there is equal access to medically assisted reproduction treatment in the publicly funded healthcare system, and since there is no social inequality in the prevalence of infertility, social inequality in the use of ART treatment would not be expected as such. However, our results show that social inequality is found for a first ART treatment attempt across publicly and privately funded ART treatment across the socioeconomic indicators, educational level, labor market attachment and income.

STUDY FUNDING/COMPETING INTEREST(S)

The funding for the establishment of the Danish National ART-Couple II Cohort (DANAC II Cohort) was obtained from the Rosa Ebba Hansen Foundation. The authors have no conflict of interest to declare.

TRIAL REGISTRATION NUMBER

N/A.

Effects of trying to conceive using an every-other-day strategy versus fertile window monitoring on stress: a 12-month randomized controlled trial

STUDY QUESTION

Can animation videos on how to optimize the chances of pregnancy influence stress, anxiety, depression and sexual functioning of individuals trying to conceive (TTC)?

SUMMARY ANSWER

There were no differences between those educated to have intercourse every other day, on the fertile window and a control group (CG), and depression and sexual dysfunction significantly increased over time for all arms.

WHAT IS KNOWN ALREADY

Recent findings indicate that time to pregnancy can be significantly shortened by targeting the fertile period, but some reproductive care guidelines recommend instead the practice of intercourse every other day on the basis that it is less stressful to the couple. Evidence to support guidelines on how to preserve well-being and psychosocial adjustment and optimize pregnancy chances is lacking.

STUDY DESIGN, SIZE, DURATION

We conducted a prospective, double-blinded, three-arm randomized controlled trial between July 2016 and November 2019. Participants were randomized to either not having any stimulus (CG) or visualizing a short animated video explaining how to improve chances of pregnancy by having intercourse every other day (EOD group), or by monitoring the fertile window (FWM group). Assessments were made before the intervention (T0), and 6 weeks (T1), 6 months (T2) and 12 months after (T3), with follow-ups censored in case of pregnancy.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Participants were childless individuals of reproductive age actively TTC and not diagnosed or unaware of a condition that could prevent spontaneous pregnancy. Individuals were excluded from recruitment if they had previous children or had a condition preventing spontaneous pregnancy. Our primary outcome was stress and secondary outcomes included anxiety, depression, sexual functioning and pregnancy. Primary analyses were performed according to intention-to-treat principle.

MAIN RESULTS AND THE ROLE OF CHANCE

Of the 450 randomized participants 127 were educated to use an every-other-day strategy, 135 to monitor the fertile window, and 134 received no intervention. Groups were similar regarding demographics and months TTC. Repeated measures analysis revealed that there were no significant interaction effects of psychological and sexual well-being between groups over time (P > 0.05). Significant time effects were revealed for stress (F(3,855) = 4.94, P < 0.01), depression (F(3,855) = 14.22, P < 0.01) and sexual functioning (time effects P values <0.001 for female sexual functioning dimensions and <0.002 for male dimensions), but not for anxiety (F(2,299) = 0.51, P > 0.05). Stress levels lowered after 6 months (P < 0.001) and returned to baseline levels at the 1-year follow-up. Depressive symptomatology significantly increased at 6 weeks (P = 0.023), and again 1 year after (P = 0.001). There were also significant decreases in all female sexual functioning dimensions (desire, satisfaction, arousal, pain, orgasm and lubrication). In men, there were significant variations in orgasm, intercourse satisfaction and erectile function, but not desire and sexual satisfaction. Revealed pregnancy rates were 16% for participants in the EOD group, 30% for the FWM group and 20% for the CG. Pregnancies were not significantly different between arms: EOD vs FWM (odds ratio (OR) 2.32; 95% CI 0.92-5.83); EOD vs CG (OR 0.74; 95% CI 0.30-1.87); and FWM vs CG (OR 1.71; 95% CI 0.70-4.18).

LIMITATIONS, REASONS FOR CAUTION

Participants were recruited after transitioning to procreative sex. The study might be prone to bias as almost 30% of our sample fulfilled the chronological criterion for infertility, and other reproductive strategies could have been tried over time before recruitment.

WIDER IMPLICATIONS OF THE FINDINGS

Our data suggest that stress does not arise from feeling pressured on the fertile period and that advice on timing of intercourse might have to be personalized. The increasing levels of depression and sexual dysfunction over a year emphasize the crucial role of preconception care and fertility counseling in promoting psychological and sexual well-being.

STUDY FUNDING/COMPETING INTEREST(S)

This work was supported by European Union Funds (FEDER/COMPETE-Operational Competitiveness Programme) and by national funds (FCT-Portuguese Foundation for Science and Technology) under the projects PTDC/MHC-PSC/4195/2012 and SFRH/BPD/85789/2012.

TRIAL REGISTRATION NUMBER

NCT02814006.

TRIAL REGISTRATION DATE

27 June 2016.

DATE OF FIRST PATIENT’S ENROLLMENT

19 July 2016.

The Disparities in ART (DART) Hypothesis of Racial and Ethnic Disparities in Access and Outcomes of IVF Treatment in the USA

We propose the Disparities in ART (DART) hypothesis which identifies underlining causes that contribute to racial disparities in access and outcomes of ART treatment in the USA. Reasons for disparities in access and outcomes of ART treatment for infertility are derived from some relative contribution of four identified causes. They are simply stated as delays in obtaining treatment, higher dropout during and following unsuccessful ART treatment, provider factors, and differences in patient biological factors. Each of these causes has a subset of 4-6 factors that contribute to each of the 4 broad categorical causes that are discussed. This hypothesis may serve as a platform for better understanding the scope of the challenges and potential research inquiries that may lead to narrowing of racial/ethnic disparities in access and outcomes in ART.

Racial/ethnic disparities in infertility treatment utilization in the US, 2011-2019

With delayed child-bearing age, there has been an increase in infertility rates globally and in the United States (US). Unsurprisingly, there has been a concomitant substantial increase in the number of individuals seeking infertility treatments over the last decade. This study aimed to examine the relationship between race/ethnicity and the utilization of different infertility treatments over the previous decade. We conducted this retrospective cohort study using the United States (US) Birth data files 2011-2019. We calculated the rates of infertility treatment and its subtypes over the study period. Descriptive statistics were utilized to examine the sociodemographic and birth characteristics for overall births and those associated with any infertility treatment and each of its subtypes. We calculated the level of association between race/ethnicity and utilization of infertility treatment and the subtypes using adjusted logistic regression models. We found that the rate of infertility treatments for all subtypes considered, had steadily increased by 63.7% within the past decade. In contrast, fertility enhancing drugs or Intrauterine Insemination (IUI) increased by 134%, and in vitro fertilization (IVF), gamete intrafallopian transfer (GIFT), and zygote intrafallopian transfer (ZIFT) treatments increased by 40% over the 9-year study period. Non-Hispanic (NH) Asian women had the highest rate of any infertility treatment with a rate of 25 per 1000 births whereas Hispanic women had the lowest rate of any infertility treatment at 5.8 per 1000 births. When compared with NH-White women, NH-Asian women had a modest 7% lower likelihood (OR = 0.93, 95% CI = 0.92-0.94) of receiving any infertility treatment while NH-Black and Hispanic women had about 70% lower likelihood of receiving any infertility treatment. Our report of increased assisted reproductive technology (ART) utilization rates, and marked racial/ethnic differences in ART utilization highlight the importance of expanding knowledge of inequities that continue to impact marginalized groups, a critical step for informing actionable strategy formulations (i.e., advocacy, policy change, patient education, provider training) to address these inequities.

Detecting Blastocyst Components by Artificial Intelligence for Human Embryological Analysis to Improve Success Rate of In Vitro Fertilization

Morphological attributes of human blastocyst components and their characteristics are highly correlated with the success rate of in vitro fertilization (IVF). Blastocyst component analysis aims to choose the most viable embryos to improve the success rate of IVF. The embryologist evaluates blastocyst viability by manual microscopic assessment of its components, such as zona pellucida (ZP), trophectoderm (TE), blastocoel (BL), and inner cell mass (ICM). With the success of deep learning in the medical diagnosis domain, semantic segmentation has the potential to detect crucial components of human blastocysts for computerized analysis. In this study, a sprint semantic segmentation network (SSS-Net) is proposed to accurately detect blastocyst components for embryological analysis. The proposed method is based on a fully convolutional semantic segmentation scheme that provides the pixel-wise classification of important blastocyst components that help to automatically check the morphologies of these elements. The proposed SSS-Net uses the sprint convolutional block (SCB), which uses asymmetric kernel convolutions in combination with depth-wise separable convolutions to reduce the overall cost of the network. SSS-Net is a shallow architecture with dense feature aggregation, which helps in better segmentation. The proposed SSS-Net consumes a smaller number of trainable parameters (4.04 million) compared to state-of-the-art methods. The SSS-Net was evaluated using a publicly available human blastocyst image dataset for component segmentation. The experimental results confirm that our proposal provides promising segmentation performance with a Jaccard Index of 82.88%, 77.40%, 88.39%, 84.94%, and 96.03% for ZP, TE, BL, ICM, and background, with residual connectivity, respectively. It is also provides a Jaccard Index of 84.51%, 78.15%, 88.68%, 84.50%, and 95.82% for ZP, TE, BL, ICM, and background, with dense connectivity, respectively. The proposed SSS-Net is providing a mean Jaccard Index (Mean JI) of 85.93% and 86.34% with residual and dense connectivity, respectively; this shows effective segmentation of blastocyst components for embryological analysis.

A review of disparities in access to infertility care and treatment outcomes among Hispanic women

Hispanic women have lower rates of use of infertility services than non-Hispanic White women. There are many barriers that impede access to infertility care including economic, geographic, cultural, and societal factors and there are disparities in treatment outcomes. Hispanic women are less likely to seek infertility care than non-Hispanic White women and even after infertility evaluation, Hispanic women are less likely to receive treatment for their infertility. Lower use of infertility treatments among Hispanic women is unlikely to be driven solely by economic factors. There is disappointingly little data on in-vitro fertilization treatment outcomes including the population of Hispanic women, and existing data has yielded conflicting results. Incomplete and variable reporting of race data across clinics raises the potential for misclassification bias and invalid study conclusions. Addressing disparities in access to reproductive medicine in the Hispanic population will required a multifaceted approach including expanded insurance coverage, improved education for both patients and providers, and additional research on barriers to care.

Condition, disease, disability: how the label used to describe infertility may affect public support for fertility treatment coverage

Purpose

To assess public attitudes towards fertility treatment coverage and whether attitudes are influenced by infertility labels.

Methods

Cross-sectional, web survey-based experiment using a national sample of 1226 United States adults. Participants read identical descriptions about infertility, with the exception of random assignment to infertility being labeled as a “condition,” “disease,” or “disability.” Participants then responded to questions measuring their beliefs and attitudes towards policies related to the diagnosis and treatment of infertility. We measured public support for infertility policies, public preference for infertility labels, and whether support differed by the randomly assigned label used. We also queried associations between demographic data and support for infertility policies.

Results

Support was higher for insurance coverage of infertility treatments (p=.014) and fertility preservation (p=.017), and infertility public assistance programs (p=.036) when infertility was described as a “disease” or “disability” compared to “condition.” Participants who were younger, were planning or trying to conceive, had a family member or friend with infertility, and/or had a more liberal political outlook were more likely to support infertility policies. A majority of participants (78%) felt the term “condition” was the best label to describe infertility, followed by “disability” (12%). The least popular label was “disease” (10%). Those preferring “condition” were older (p<.001), more likely to be non-Hispanic White (p=.046), and less likely to have an infertility diagnosis (p<.001).

Conclusion

While less commonly identified as the best descriptors of infertility, labeling infertility as a “disease” or “disability” may increase support for policies that improve access to infertility care

Supplementary Information

The online version contains supplementary material available at 10.1007/s10815-021-02231-z.