Objective: To study the racial and socioeconomic characteristics of women seeking fertility care in a state with mandated insurance coverage for fertility testing and treatment. Design: Cross-sectional, self-administered survey. Setting: Academic fertility center in Illinois. Patient(s): Of 5,000 consecutive fertility care patients, 1,460 completed the survey and were included in the study sample. Intervention(s): None. Main Outcome Measure(s): Details about demographic characteristics and health care access on the basis of patient race/ethnicity and socioeconomic status. Result(s): The mean age of participants was 36.1 years; 75.5% were White, 10.2% Asian, 7.3% Black, 5.7% Latinx, and 1.3% Other. Most women had a bachelor's (35.5%) or master's degree (40.5%) and an annual household income of >$100,000 (81.5%). Black and Hispanic women traveled twice as far (median 10 miles) as White and Asian women (median 5 miles for both) for treatment. Black women (14.7%) were more likely to report that their race was a barrier to getting fertility treatment compared with White (0.0%), Hispanic (5.1%), and Asian (5.4%) women. Black and Hispanic women were approximately twice as likely to report income level (26.5% and 20.3%, respectively) and weight (7.8% and 8.9%, respectively) as barriers compared with White and Asian respondents. Conclusion(s): Significant racial and socioeconomic disparities exist among fertility patients accessing care. Beyond providing all Americans with health insurance that covers fertility treatment, further research in the general population is needed to understand the complex social, cultural, racial, and economic factors that prohibit many individuals from accessing needed fertility care. (Fertil Steril Rep Ò 2021;2:109-17. Ó2020 by American Society for Reproductive Medicine.

Background Polycystic ovary syndrome (PCOS) is a complex and multi-faceted endocrine disorder that affects 5–20% of women. Literature is limited regarding potentially differing PCOS phenotypes among women around the world. Objective To use Flo app technology to understand the multifaceted characteristics of PCOS across several countries and identify contributing risk factors to the development of this condition. Study design Flo is a widely used female health and wellbeing app with period tracking functionality that provides a globally representative and medically unbiased perspective on PCOS symptomatology. A chatbot dialog on PCOS was subsequently administered on the Flo application (app) to users from 142 countries (with at least 100 respondents) who have the app running in English during September–October 2019. Results For analyses, we selected the five countries with the greatest number of respondents: US (n = 243,238), UK (n = 68,325), India (n = 40,092), Philippines (n = 35,131), and Australia (n = 29,926). Bloating was the most frequently reported symptom among PCOS-positive women and appeared to be the main predictor of PCOS in our model (odds ratio 3·76 [95% CI 3·60–3·94]; p < 0·0001). Additional top predictors of PCOS are high blood cholesterol and glucose levels. As BMI increased, the percentage of women who reported a physician-confirmed PCOS diagnosis also increased. However, women in India did not follow this trend. Conclusion Our findings are based on the largest known PCOS dataset and indicate that symptoms are more complex than previously understood. The most frequently reported symptoms (bloating, facial hirsutism, irregular cycles, hyperpigmentation, and baldness) are broader than those included in the Rotterdam criteria. Future work should reevaluate and refine the criteria utilized in PCOS diagnosis.

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